Determination of 210Po in Seawater by Tellurium Microprecipitation Method

Determination of 210Po in Seawater by Tellurium Microprecipitation Method | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Determination of 210 Po in Seawater by Tellurium Microprecipitation Method Lina Ma, Longjiang Wang, Ya Ma, Hui Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9312664/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Polonium-210 ( 210 Po) can be rapidly determined in seawater samples by alpha spectrometry using tellurium (Te) microprecipitation. In this method, Po is first pre-concentrated using titanium trichloride (TiCl 3 ), redissolved in 3M HCl, and filtered. The Te microprecipitation was then applied to the supernatant. Replicate spiked samples and blank samples were analyzed to evaluate the performance of the procedure. For 210 Po in 1 L seawater samples, the minimum detectable activity (MDC) concentration was determined to be 0.5 mBq L -1 with a counting time of 24 h, and high recoveries (~ 89%) were achieved. This method is suitable for the rapid batch screening of 210 Po in environmental water samples. 210Po seawater microprecipitation alpha spectrometry Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction 210 Po is an important daughter nuclide in the decay chain of 238 U, with a half-life of 138 days [ 1 , 2 ]. Due to its high particle reactivity, 210 Po is readily scavenged from the upper water column by adsorption onto particulate matter and ultimately deposited in sediments. This unique geochemical behavior has led to its widespread use as a tracer for investigating upper ocean export productivity, the biogeochemical cycling of biogenic elements (e.g., nitrogen and sulfur), and particle transport processes on continental shelves [ 3 – 5 ]. Because the intensity of gamma rays emitted during the decay of 210 Po is extremely low (< 0.002%), current measurement methods rely primarily on the separation of 210 Po from the sample matrix followed by alpha spectrometry. Alpha spectrometry is the most commonly employed technique, with most analytical procedures utilizing spontaneous deposition for the preparation of alpha counting sources [ 6 – 8 ]. This method typically requires heating at elevated temperatures (90–95°C) for several hours (3–5 h) to achieve Po recoveries of 70%–90% [ 9 , 10 ]; 208 Po or 209 Po is often used as a yield tracer to determine the recovery of the procedure [ 6 , 11 ]. However, this method not only relies on specialized equipment but is also challenging to implement in marine laboratories with limited experimental facilities, particularly during research cruises. Maintaining a constant, elevated temperature in aqueous solutions for several hours on board or in a field laboratory poses safety concerns, and the number of samples that can be processed is constrained by the availability of temperature-controlled equipment [ 5 ]. Furthermore, studies have indicated a potential risk of 210 Po volatilization at high temperatures, further limiting the applicability of the spontaneous deposition method [ 12 ]. To overcome these limitations, microprecipitation techniques have recently been developed for the preparation of thin-layer sources suitable for alpha spectrometry. The methods reported thus far mainly include copper sulfide (CuS) and tellurium microprecipitation [ 13 – 15 ]. The CuS method relies on the extremely low solubility of PoS in acidic media for the rapid pre-concentration of 210 Po; however, recovery decreases significantly when the HCl concentration exceeds 1 mol L -1 [ 13 , 14 ]. In contrast, the Te microprecipitation method proposed by Song et al. [ 15 ] offers the advantages of rapidity and applicability over a wide acidity range (1–12 mol L -1 HCl). This method is based on the reduction of Te(IV) or Te(VI) by SnCl 2 to form a fine black precipitate of elemental Te. Due to its chemical similarity as a group-16 element, Po is also reduced by SnCl 2 and co-precipitates with Te, enabling the rapid preparation of thin-layer alpha counting sources for polonium. However, the direct application of tellurium microprecipitation for the rapid determination of 210 Po in seawater samples presents several challenges. First, the large volumes typically required for seawater analysis necessitate a pre-concentration step, which introduces substantial amounts of metal ions (e.g., Ti³⁺, Fe³⁺) [ 16 , 17 ] that may interfere with the formation of the Te precipitate, affecting the efficiency and stability of source preparation. Second, it has been observed that SnCl 2 reagents often contain radioactive 210 Po impurities, which can increase the sample background. Additionally, seawater contains actinide isotopes of Th, U, Pu, and Am [ 18 – 21 ], whose alpha-particle energies are close to that of 210 Po, potentially causing spectral interferences in alpha spectrometry and compromising quantitative accuracy. Therefore, this study aims to establish a method for the preparation of 210 Po alpha sources from seawater using Te microprecipitation and to evaluate the effects of potential radioactive interfering nuclides present in seawater on the source preparation process and subsequent measurement. The development of such a microprecipitation method is expected to enable the rapid and reliable determination of 210 Po in marine environments without the need for high-temperature heating equipment, thereby extending its applicability to on-site and shipboard sample analyses. Experimental Reagents and standards All chemicals used in the experiments were purchased as analytical purity or the highest purity available. All solutions were prepared using ultra-pure water (UPW) with a conductivity of > 18 MΩ cm, produced from a Milli-Q Reference water purification system. The 209 Po radioisotope standards were obtained from the National Physical Laboratory (NPL, UK), and the 210 Pb standards were purchased from the National Institute of Standards and Technology (NIST, Gaithersburg, MD, USA). The 209 Po and 210 Pb standards were prepared in 1 M HCl solution. Analytical procedure Figure 1 Flow diagram of the procedure for determination of 210 Po in seawater Sample preparation The reagent blanks, seawater blanks and seawater spike samples were prepared to examine the performance of the present method. The seawater used in this study was collected from Shandong Peninsula coast (36°52’ N, 120°18’ E) and the salinity of the seawater was measured to be about 3.0%. The reagent blanks consisted of 1 L UPW, while the seawater blanks were aliquots of 1 L unspiked seawater. The spike samples were prepared by adding known amounts of the 210 Pb standard (in secular equilibrium with its daughter nuclides 210 Po) to 1 L of seawater. Prior to analysis, all the blank and spike samples were acidified with concentrated HCl to 0.1 M. A known activity (~ 20–30 mBq) of 209 Po standard was added as a tracer for chemical recovery monitoring and correction for the analysis of 210 Po. Pre-concentration By adding ~ 1 mL 15% TiCl 3 solution, then adjusting the pH to 8–9 with concentrated NH 4 OH, Po was co-precipitated with the formation of hydrous titanium oxide (HTiO). The sample was centrifuged and the supernatant was discarded. The HTiO precipitate was dissolved in 10 mL of 6 M HCl, and UPW was added to adjust to 3 M HCl. The sample was filtered through a 0.1 µm filter membrane. Microprecipitation For the sample, 0.1 mL 1 mg mL -1 Te (Ⅳ) and 5 mL of isopropanol were added, and the sample was vigorously shaken. Isopropanol was added to ensure the uniformity of the precipitation. Then, 0.5 mL of 10% (m/v) SnCl 2 in 3 M HCl was added to the sample, and black precipitate formed. After standing for 10 min, the sample was filtered through a 0.1 µm Resolve filter membrane (supplied by TrisKem International) using a vacuum box system. The filter was subsequently rinsed with UPW, followed by anhydrous ethanol. The alpha counting source was prepared by carefully mounting the filter on a 25 mm diameter plastic disc with double-sided adhesive tape. After being dried in air, the samples were counted by alpha spectrometry. Results and discussion Effect and treatment of SnCl 2 SnCl 2 serves as the reducing agent in the Te micro-precipitation method for the preparation of alpha sources for polonium determination. Stannous chloride reagents typically contain the radioactive impurity 210 Po because tin is associated with lead and belongs to the same group, making their separation challenging. The radioactive isotope 210 Pb decays to 210 Po, which has a short half-life and a high generation rate. Consequently, 210 Po ingrows in freshly prepared stannous chloride reagent during storage. This 210 Po co-precipitates with the polonium from the sample onto the alpha source, thereby increasing the background count. In a batch of 10 mL UPW samples, varying amounts of 10% SnCl 2 m v − 1 (dissolved in 3 M HCl) solution ranging from 0.1 mL to 5 mL were added. After source preparation via Te micro-precipitation, the 210 Po counts on the α source were measured. As shown in Fig. 2 , when the SnCl₂ addition increased from 0.1 mL to 5 mL, the 210 Po count measured over 24 h rose from 2 to 115. The 210 Po content in SnCl₂ depends on storage time and batch; therefore, it must be removed prior to use. Based on the principle of reduction of Te (IV) to elemental Te by SnCl₂ [ 15 ], as shown in Eq. ( 1 ), polonium is coprecipitated with Te and removed by filtration: upon addition of 100 µg Te⁴⁺ to 10% SnCl₂ (in 3 M HCl), a black tellurium precipitate forms. After shaking and standing for 10 min, the solution is filtered. A 5 mL aliquot of the treated SnCl₂ is used to prepare an α‑measurement source; after counting for 24 h, the 210 Po count decreases from 115 to 3. A trace amount of Sn (Ⅳ) remained in the treated SnCl 2 solution, and its performance needed to be evaluated. Using this treated SnCl 2 , 210 Po sources were prepared from more than ten 10 mL UPW samples and measured. A high recovery (> 95%) was obtained for all samples, along with good energy resolution, as indicated by a full width at half maximum (FWHM) of approximately 22–26 keV, the residual Sn (Ⅳ) did not adversely affect the reduction of Te (Ⅳ). Te (Ⅳ)+2Sn (Ⅱ)→Te↓ (black)+2Sn (Ⅳ) (1) Effect of HCl When preparing a 210 Po thin-layer α counting source by Te micro-precipitation in UPW, the Po yield remains high (75–100%) over the HCl concentration range of 0.6 to 12 mol L -1 [ 15 ]. However, when polonium is concentrated from seawater by coprecipitation, the resulting HTiO coprecipitate must be dissolved using an appropriate concentration of HCl. As the dissolution step directly modifies the acidity and chemical environment of the system, and the yield behavior established in UPW may not be directly applicable to the complex matrix, it is necessary to systematically investigate the influence of the HCl concentration in the sample after dissolution of HTiO with HCl on the subsequent Po microprecipitation yield and the energy resolution of the thin-layer counting source. In a series of 10 mL UPW samples, 20–30 mBq of 209 Po and 1 mL of TiCl 3 solution were added, and ammonium hydroxide was used to adjust the pH to 8–9 to precipitate HTiO. The precipitate was dissolved in 12 mol·L -1 HCl, and then diluted with UPW to achieve final HCl concentrations of 0.5, 1, 2.5, 3, 4, 6, and 8 mol·L -1 respectively. 209 Po alpha counting sources were prepared following the described procedure, and the measurement results are shown in Figs. 3 and 4 . When the HCl concentration ranged from 0.5 to 4 mol L -1 , the Po recovery varied between 99.7% and 93.9%. When the HCl concentration exceeded 4 mol L -1 , the recovery gradually decreased, dropping to 65.7% at 8 mol L -1 . This trend may be attributed to the reaction of tellurium and polonium ions with HCl in highly concentrated hydrochloric acid, leading to the formation of acid-soluble salts and thus reducing the Po recovery. Regarding energy resolution, poorer resolution is observed at lower HCl concentrations, with FWHM values of 46 keV and 36 keV at 0.5 and 1 mol L -1 HCl, respectively. In contrast, good resolution with FWHM values ranging from 24 to 30 keV is achieved when the HCl concentration is between 2.5 and 8 mol L -1 . Considering both recovery and energy resolution, 3 mol L -1 HCl was selected for the preparation of polonium sources in order to achieve a balance between the two. Effect of TiCl 3 Titanium(III) chloride (TiCl₃) is an effective coprecipitant. Under alkaline conditions (pH 8–9, it hydrolyzes and oxidizes to form a white, flocculent precipitate of HTiO, which efficiently concentrates 210 Po from seawater samples [ 17 ]. However, as a strong reducing agent, TiCl₃ may alter the chemical speciation of polonium in solution, potentially affecting its coprecipitation behavior during the subsequent tellurium reduction micro-precipitation step. Therefore, the effect of TiCl₃ on the recovery and the energy resolution of thin-layer counting sources was evaluated. When the volume of 15% TiCl₃ added was within the range of 0–2.0 mL, the chemical recovery of polonium averaged 97 ± 4%, indicating that the amount of TiCl₃ added had no significant effect on the recovery. In addition, the 209 Po thin-layer counting sources prepared under all conditions exhibited good energy resolution, with full width at half maximum (FWHM) values ranging from 20.4 to 25.8 keV. In conclusion, TiCl₃ did not have a significant adverse effect on the preparation of thin-layer counting sources by Te micro-precipitation. Based on these results, a volume of 1 mL of TiCl₃ was selected for the coprecipitation step when processing 1 L seawater samples. Removal of interfering radionuclides When measuring 210 Po in seawater, naturally occurring or anthropogenic radionuclides (U, Th, Pu, Am) present in the marine environment emit alpha particles with energies around 4.8 and 5.3 MeV, thereby affecting the counting accuracy of 210 Po and 209 Po. Therefore, the separation of these radionuclides from Po isotopes is essential. The decontamination factors (DF) for these potential interfering radionuclides, together with their alpha energies and emission intensities, are listed in Table 1 . Acceptable decontamination factors (115–196) were obtained for all these radionuclides, indicating that actinides do not precipitate under the conditions selected for the Te microprecipitation method. Hence, the Te microprecipitation method exhibits excellent selectivity for the preparation of Po counting sources for alpha spectrometry in seawater samples. Table 1 Decontamination factors and Potential Radionuclide Interferences for Polonium Isotopes Element Potential interferences (alpha energy (MeV)) and emission intensity DF a 209 Po(4.88)98.9% 210 Po(5.30)100% Th 230 Th(4.62)23.4% 228 Th(5.34)26.0% 158 ± 9 230 Th(4.69)76.3% 228 Th(5.42)73.4% U 234 U(4.78)71.4% 163 ± 9 Pu 242 Pu(4.86)23.4% 238 Pu(5.46)28.9% 197 ± 10 242 Pu(4.90)76.5% 238 Pu(5.50)71. 0% Am 241 Am(5.49)85.2% 115 ± 8 241 Am(5.44)13.3% a DF = [(activity added) / (activity found on the filter)]×(recovery of Po) Method validation To validate the reliability of the present method, batches of samples were prepared and measured, including reagent blank samples, seawater blank samples, and spiked seawater samples. Blank measurements The measurement results for the reagent blank samples (RB1–RB3) and seawater blank samples (SB1–SB3) are shown in Table 2 . The MDC of 210 Po in the samples was calculated using Currie’s Eq. ( 1 ) [ 22 ]: Table 2 The results of 210 Po in reagent blanks and sample blanks SampleID 210 Po (mBq L − 1 ) Chemical recovery (%) MDC(mBq L − 1 ) RB1 0.15 ± 0.09 99 ± 3 0.5 RB2 0.10 ± 0.07 96 ± 3 0.5 RB3 0.15 ± 0.09 101 ± 4 0.5 Mean 0.13 ± 0.03 99 ± 3 0.5 SB-1 2.5 ± 0.4 88 ± 3 0.5 SB-2 2.6 ± 0.4 89 ± 3 0.6 SB-3 2.9 ± 0.4 92 ± 3 0.5 Mean 2.7 ± 0.2 89 ± 2 0.5 Spiked tests The 210 Pb with known activities (5–80 mBq) in secular equilibrium with its daughter nuclides 210 Bi and 210 Po was added to 1 L seawater samples. After preparing the counting sources, 210 Po was determined by alpha spectrometry, and the results are shown in Fig. 5 The measured activities of 210 Po in the spiked samples agreed well with the expected values, with deviations within ± 10%. The average chemical recovery of 210 Po in the spiked samples was 88 ± 3% (detailed chemical recovery results for individual spiked samples are not listed), which is consistent with the average chemical recovery obtained for the blank measurements mentioned above. Sample analysis throughput This method is rapid and can be readily set up for batch processing. For a batch of eight 1 L seawater samples, a single analyst can complete sample preparation in approximately 2.5 h: tracer addition and pre-concentration take about 1 h, acid dissolution and filtration to remove insoluble particulate matter take 1 h, and tellurium micro-precipitation along with alpha source preparation take about 0.5 h. The microprecipitation method is faster than the traditional spontaneous deposition method for preparing α-sources for 210 Po measurement, which typically takes 3 to 5 h, not including the sample pretreatment steps. After counting for 24 h, results can be reported within 2 working days. Conclusions In this work, a method was established for the determination of ²¹⁰Po in seawater samples using tellurium microprecipitation. The performance of the method was evaluated by analyzing reagent blanks and real seawater samples. The measured activities in spiked seawater samples agreed well with the expected values. For a 1 L seawater sample and a counting time of 24 h, the minimum detectable activity concentration of ²¹⁰Po was found to be 0.5 mBq L⁻¹, indicating that the method has sufficient sensitivity for the determination of ²¹⁰Po in environmental seawater samples at the mBq L⁻¹ level. In addition, the method is suitable for batch processing and offers a short analytical turnaround time. Declarations Author Contribution Lina Ma wrote the main manuscript text . All authors reviewed the manuscript. Acknowledgements No funding was received for this work. Data Availability Data Availability StatementThe data that support the findings of this study are available from the corresponding author upon reasonable request. References Długosz-Lisiecka M, Ciapka D (2024) A fast method of liquid-liquid extraction for simultaneous 210 Pb, 210 Bi, 210 Po isotopes determination in water samples. J Radiat Phys Chem. 224:112066 Al-Masri MS, Nashawati A, Amin Y, Al-Akel B (2004) Determination of 210 Po in tea, maté and their infusions and its annual intake by Syrians. J Radioanal Nucl Chem 260:27–34 Baskaran M, Church T, Hong G (2013) Effects of flow rates and composition of the filter, and decay/ingrowth correction factors involved with the determination of in situ particulate 210 Po and 210 Pb in seawater. J Limnol Oceanogr.: Methods 11:126–138 Biggin CD, Cook GT, MacKenzie AB, Patesn JM (2002) Time-Efficient Method for the Determination of 210 Pb, 210 Bi, and 210 Po Activities in Seawater Using Liquid Scintillation Spectrometry. J Anal Chem . 74:671–677 Zhong Q, Puigcorbe V, Sanders C, Du J (2020) Analysis of 210 Po, 210 Bi, and 210 Pb in atmospheric and oceanic samples by simultaneously auto-plating 210 Po and 210 Bi onto a nickel disc. J Environ Radioact. 220–221:106301 Matthews KM, Kim C-K, Martin P (2007) Determination of 210 Po in environmental materials: A review of analytical methodology. J Appl Radiat Isot 65:267–279 Kelecom A, Gouvea R C S (2011) Increase of 210 Po levels in human semen fluid after mussel ingestion. J Environ Radioact 102:443–447 Lee, HW, Chae, JS (2023) Experimental optimization of physicochemical factors for spontaneous deposition of 210 Po using newly designed deposition kit. J Appl Radiat Isot. 197:110835 Desideri D, Meli MA, Feduzi L, Roselli C, Rongoni A, Saetta D (2007) 238 U, 234 U, 226 Ra, 210 Po concentrations of bottled mineral waters in Italy and their dose contribution. J Environ Radioact 94:86–97 Lin Z, Wu Z (2009) Analysis of polonium-210 in food products and bioassay samples by isotope-dilution alpha spectrometry. J Appl Radiat Isot. 67:907–912 Meli MA, Desideri D, Roselli C, Feduzi L (2009) 210 Po determination in urines of people living in Central Italy. J Environ Radioact 100:84–88 Lee HM, Hong GH, Baskaran M, Kim SH, Kim YI (2014) Evaluation of plating conditions for the recovery of 210 Po on a Ag planchet. J Appl Radiat Isot. 90:170–176 Guerin N, Dai X (2013) Rapid preparation of polonium counting sources for alpha spectrometry using copper sulfide microprecipitation. J Anal Chem. 85:6524–6529 Guerin N, Dai X (2014) Determination of 210 Po in drinking water and urine samples using copper sulfide microprecipitation. J Anal Chem. 86:6026–6031 Song L, Ma Y, Wang Y, Yang Y (2017) Method of polonium source preparation using tellurium microprecipitation for alpha spectrometry. J Anal Chem. 89:13651–13657 Carrasco H, Cochran J K, Gasser B, Sanz-Alvarez I (2026) Comparing methods for measuring 210 Po in seawater: Fe(OH) 3 can extract less 210 Po than Co-APDC and thus overestimate POC export fluxes.J Mar Chem 275:104618 Song L , Yang Y , Luo M , Ma Y, Dai X (2017) Rapid determination of radium-224/226 in seawater sample by alpha spectrometry. J Environ Radioact. 171:169–175 Okubo A, Obata H, Magara M, Kimura T (2013) Rapid collection of iron hydroxide for determination of Th isotopes in seawater. Anal Chim Acta. 804:120–125 Song Y, Deng B, Wang K, Zhang Y, Gao J, Cheng X (2024) Highly-efficient adsorbent materials for uranium extraction from seawater. J Environ Chem Eng. 12:113967 Wei X, Zhang R, Zhu J, Wang S, Guan Y, Li G, Yin Y, Liu Z (2024) Spatial distribution and modelling of 239+240 Pu in the sediments and seawater columns of the South China Sea and Indian Ocean. J Environ Pollut. 343:123244 Zhang L, Vassileva E (2024) Determination of ultra-trace level 241 Am in marine sediment and seawater by combining TK200-TK221 tandem-column extraction chromatography and SF ICP-MS. J Talanta 271:125724 Currie LA (1968) Limits for qualitative detection and quantitative determination: application to radioactivity. J Anal Chem. 40:586–593 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9312664","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":625793608,"identity":"05921295-c0b8-49e8-8e2a-dbdde1ae0b31","order_by":0,"name":"Lina Ma","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxElEQVRIiWNgGAWjYFAC5oYDDAw2DGwkaGEEaUkjUQuQOEyCBt32g42HC2rOy/NJnz3A8HFPLQP/7Ab8WszOJDYcnnHstmEbX14C44xnxxkk7hwgoOUAUAsP2+0ENh4eA2aeA8cYDCQSCGg5/xCo5d85UrTcANrC23YApqWGGC1AW3j7kg3bePgSDs44cIBH4gZBhyUf/szzzU5evof34IMPB+rk+GcQ0IIEeBgOACOIh2j1YC1AUEeKjlEwCkbBKBghAAAhE0NodX6GuwAAAABJRU5ErkJggg==","orcid":"","institution":"China Institute for Radiation Protection","correspondingAuthor":true,"prefix":"","firstName":"Lina","middleName":"","lastName":"Ma","suffix":""},{"id":625793609,"identity":"25c42bc3-3fc3-4848-8e1b-d59af68adfcd","order_by":1,"name":"Longjiang Wang","email":"","orcid":"","institution":"China Institute for Radiation Protection","correspondingAuthor":false,"prefix":"","firstName":"Longjiang","middleName":"","lastName":"Wang","suffix":""},{"id":625793615,"identity":"9ede3881-ee49-4329-8ba0-e14fef9ee80d","order_by":2,"name":"Ya Ma","email":"","orcid":"","institution":"China Institute for Radiation Protection","correspondingAuthor":false,"prefix":"","firstName":"Ya","middleName":"","lastName":"Ma","suffix":""},{"id":625793617,"identity":"0368b4da-0591-4613-a174-8e182389c584","order_by":3,"name":"Hui Zhang","email":"","orcid":"","institution":"China Institute for Radiation Protection","correspondingAuthor":false,"prefix":"","firstName":"Hui","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2026-04-03 12:08:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9312664/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9312664/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107434354,"identity":"809bd58f-cf46-4208-9498-a036d06462f0","added_by":"auto","created_at":"2026-04-21 12:57:04","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":139526,"visible":true,"origin":"","legend":"\u003cp\u003eFlow diagram of the procedure for determination of \u003csup\u003e210\u003c/sup\u003ePo in seawater\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/0bcb5db7a3854e9becd4b048.png"},{"id":107434332,"identity":"4ac1b878-10b7-4ac6-b5de-e125869505d4","added_by":"auto","created_at":"2026-04-21 12:56:55","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":128498,"visible":true,"origin":"","legend":"\u003cp\u003eCounts of \u003csup\u003e210\u003c/sup\u003ePo as a function of the volume of SnCl₂ solution added\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/6a01f96653e02e49a0050852.png"},{"id":107434356,"identity":"21d8a86d-57b2-4814-8003-7b5b408b4c09","added_by":"auto","created_at":"2026-04-21 12:57:05","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":13935,"visible":true,"origin":"","legend":"\u003cp\u003eVariation of Po recovery with HCl concentration\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/2b233fa920ed00504fc61acd.png"},{"id":107434353,"identity":"0cc83fb8-6488-4bff-813d-470f747f322d","added_by":"auto","created_at":"2026-04-21 12:57:04","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":13421,"visible":true,"origin":"","legend":"\u003cp\u003eVariation of FWHM with HCl concentration\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/aecaba27e7e6d3bd238d184b.png"},{"id":107434194,"identity":"02e944b3-a8fe-454d-a202-26ae7fbda902","added_by":"auto","created_at":"2026-04-21 12:56:52","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":23481,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of the expected and measured \u003csup\u003e210\u003c/sup\u003ePo activities in seawater spiked samples\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/dbd195a7e37af0f53aa5f9e2.png"},{"id":107434475,"identity":"f01e1616-ecfe-4c7b-8162-602d369aad0d","added_by":"auto","created_at":"2026-04-21 12:57:15","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":640733,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9312664/v1/0dd73c14-96dd-4831-8d16-3f63061e0f22.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eDetermination of \u003csup\u003e210\u003c/sup\u003ePo in Seawater by Tellurium Microprecipitation Method\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003e \u003csup\u003e210\u003c/sup\u003ePo is an important daughter nuclide in the decay chain of \u003csup\u003e238\u003c/sup\u003eU, with a half-life of 138 days [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Due to its high particle reactivity, \u003csup\u003e210\u003c/sup\u003ePo is readily scavenged from the upper water column by adsorption onto particulate matter and ultimately deposited in sediments. This unique geochemical behavior has led to its widespread use as a tracer for investigating upper ocean export productivity, the biogeochemical cycling of biogenic elements (e.g., nitrogen and sulfur), and particle transport processes on continental shelves [\u003cspan additionalcitationids=\"CR4\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eBecause the intensity of gamma rays emitted during the decay of \u003csup\u003e210\u003c/sup\u003ePo is extremely low (\u0026lt;\u0026thinsp;0.002%), current measurement methods rely primarily on the separation of \u003csup\u003e210\u003c/sup\u003ePo from the sample matrix followed by alpha spectrometry. Alpha spectrometry is the most commonly employed technique, with most analytical procedures utilizing spontaneous deposition for the preparation of alpha counting sources [\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. This method typically requires heating at elevated temperatures (90\u0026ndash;95\u0026deg;C) for several hours (3\u0026ndash;5 h) to achieve Po recoveries of 70%\u0026ndash;90% [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]; \u003csup\u003e208\u003c/sup\u003ePo or \u003csup\u003e209\u003c/sup\u003ePo is often used as a yield tracer to determine the recovery of the procedure [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. However, this method not only relies on specialized equipment but is also challenging to implement in marine laboratories with limited experimental facilities, particularly during research cruises. Maintaining a constant, elevated temperature in aqueous solutions for several hours on board or in a field laboratory poses safety concerns, and the number of samples that can be processed is constrained by the availability of temperature-controlled equipment [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Furthermore, studies have indicated a potential risk of \u003csup\u003e210\u003c/sup\u003ePo volatilization at high temperatures, further limiting the applicability of the spontaneous deposition method [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTo overcome these limitations, microprecipitation techniques have recently been developed for the preparation of thin-layer sources suitable for alpha spectrometry. The methods reported thus far mainly include copper sulfide (CuS) and tellurium microprecipitation [\u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The CuS method relies on the extremely low solubility of PoS in acidic media for the rapid pre-concentration of \u003csup\u003e210\u003c/sup\u003ePo; however, recovery decreases significantly when the HCl concentration exceeds 1 mol L\u003csup\u003e-1\u003c/sup\u003e [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. In contrast, the Te microprecipitation method proposed by Song et al. [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e] offers the advantages of rapidity and applicability over a wide acidity range (1\u0026ndash;12 mol L\u003csup\u003e-1\u003c/sup\u003e HCl). This method is based on the reduction of Te(IV) or Te(VI) by SnCl\u003csub\u003e2\u003c/sub\u003e to form a fine black precipitate of elemental Te. Due to its chemical similarity as a group-16 element, Po is also reduced by SnCl\u003csub\u003e2\u003c/sub\u003e and co-precipitates with Te, enabling the rapid preparation of thin-layer alpha counting sources for polonium.\u003c/p\u003e \u003cp\u003eHowever, the direct application of tellurium microprecipitation for the rapid determination of \u003csup\u003e210\u003c/sup\u003ePo in seawater samples presents several challenges. First, the large volumes typically required for seawater analysis necessitate a pre-concentration step, which introduces substantial amounts of metal ions (e.g., Ti\u0026sup3;⁺, Fe\u0026sup3;⁺) [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e] that may interfere with the formation of the Te precipitate, affecting the efficiency and stability of source preparation. Second, it has been observed that SnCl\u003csub\u003e2\u003c/sub\u003e reagents often contain radioactive \u003csup\u003e210\u003c/sup\u003ePo impurities, which can increase the sample background. Additionally, seawater contains actinide isotopes of Th, U, Pu, and Am [\u003cspan additionalcitationids=\"CR19 CR20\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e], whose alpha-particle energies are close to that of \u003csup\u003e210\u003c/sup\u003ePo, potentially causing spectral interferences in alpha spectrometry and compromising quantitative accuracy. Therefore, this study aims to establish a method for the preparation of \u003csup\u003e210\u003c/sup\u003ePo alpha sources from seawater using Te microprecipitation and to evaluate the effects of potential radioactive interfering nuclides present in seawater on the source preparation process and subsequent measurement. The development of such a microprecipitation method is expected to enable the rapid and reliable determination of \u003csup\u003e210\u003c/sup\u003ePo in marine environments without the need for high-temperature heating equipment, thereby extending its applicability to on-site and shipboard sample analyses.\u003c/p\u003e"},{"header":"Experimental","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eReagents and standards\u003c/h2\u003e \u003cp\u003eAll chemicals used in the experiments were purchased as analytical purity or the highest purity available. All solutions were prepared using ultra-pure water (UPW) with a conductivity of \u0026gt;\u0026thinsp;18 MΩ cm, produced from a Milli-Q Reference water purification system.\u003c/p\u003e \u003cp\u003eThe \u003csup\u003e209\u003c/sup\u003ePo radioisotope standards were obtained from the National Physical Laboratory (NPL, UK), and the \u003csup\u003e210\u003c/sup\u003ePb standards were purchased from the National Institute of Standards and Technology (NIST, Gaithersburg, MD, USA). The \u003csup\u003e209\u003c/sup\u003ePo and \u003csup\u003e210\u003c/sup\u003ePb standards were prepared in 1 M HCl solution.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eAnalytical procedure\u003c/h3\u003e\n\u003cp\u003e \u003c/p\u003e \u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e Flow diagram of the procedure for determination of \u003csup\u003e210\u003c/sup\u003ePo in seawater\u003c/p\u003e\n\u003ch3\u003eSample preparation\u003c/h3\u003e\n\u003cp\u003eThe reagent blanks, seawater blanks and seawater spike samples were prepared to examine the performance of the present method. The seawater used in this study was collected from Shandong Peninsula coast (36\u0026deg;52\u0026rsquo; N, 120\u0026deg;18\u0026rsquo; E) and the salinity of the seawater was measured to be about 3.0%. The reagent blanks consisted of 1 L UPW, while the seawater blanks were aliquots of 1 L unspiked seawater. The spike samples were prepared by adding known amounts of the \u003csup\u003e210\u003c/sup\u003ePb standard (in secular equilibrium with its daughter nuclides \u003csup\u003e210\u003c/sup\u003ePo) to 1 L of seawater. Prior to analysis, all the blank and spike samples were acidified with concentrated HCl to 0.1 M. A known activity (~\u0026thinsp;20\u0026ndash;30 mBq) of \u003csup\u003e209\u003c/sup\u003ePo standard was added as a tracer for chemical recovery monitoring and correction for the analysis of \u003csup\u003e210\u003c/sup\u003ePo.\u003c/p\u003e\n\u003ch3\u003ePre-concentration\u003c/h3\u003e\n\u003cp\u003eBy adding\u0026thinsp;~\u0026thinsp;1 mL 15% TiCl\u003csub\u003e3\u003c/sub\u003e solution, then adjusting the pH to 8\u0026ndash;9 with concentrated NH\u003csub\u003e4\u003c/sub\u003eOH, Po was co-precipitated with the formation of hydrous titanium oxide (HTiO). The sample was centrifuged and the supernatant was discarded. The HTiO precipitate was dissolved in 10 mL of 6 M HCl, and UPW was added to adjust to 3 M HCl. The sample was filtered through a 0.1 \u0026micro;m filter membrane.\u003c/p\u003e\n\u003ch3\u003eMicroprecipitation\u003c/h3\u003e\n\u003cp\u003eFor the sample, 0.1 mL 1 mg mL\u003csup\u003e-1\u003c/sup\u003e Te (Ⅳ) and 5 mL of isopropanol were added, and the sample was vigorously shaken. Isopropanol was added to ensure the uniformity of the precipitation. Then, 0.5 mL of 10% (m/v) SnCl\u003csub\u003e2\u003c/sub\u003e in 3 M HCl was added to the sample, and black precipitate formed. After standing for 10 min, the sample was filtered through a 0.1 \u0026micro;m Resolve filter membrane (supplied by TrisKem International) using a vacuum box system. The filter was subsequently rinsed with UPW, followed by anhydrous ethanol. The alpha counting source was prepared by carefully mounting the filter on a 25 mm diameter plastic disc with double-sided adhesive tape. After being dried in air, the samples were counted by alpha spectrometry.\u003c/p\u003e"},{"header":"Results and discussion","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\n \u003ch2\u003eEffect and treatment of SnCl\u003csub\u003e2\u003c/sub\u003e\u003c/h2\u003e\n \u003cp\u003eSnCl\u003csub\u003e2\u003c/sub\u003e serves as the reducing agent in the Te micro-precipitation method for the preparation of alpha sources for polonium determination. Stannous chloride reagents typically contain the radioactive impurity \u003csup\u003e210\u003c/sup\u003ePo because tin is associated with lead and belongs to the same group, making their separation challenging. The radioactive isotope \u003csup\u003e210\u003c/sup\u003ePb decays to \u003csup\u003e210\u003c/sup\u003ePo, which has a short half-life and a high generation rate. Consequently, \u003csup\u003e210\u003c/sup\u003ePo ingrows in freshly prepared stannous chloride reagent during storage. This \u003csup\u003e210\u003c/sup\u003ePo co-precipitates with the polonium from the sample onto the alpha source, thereby increasing the background count. In a batch of 10 mL UPW samples, varying amounts of 10% SnCl\u003csub\u003e2\u003c/sub\u003e m v\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e (dissolved in 3 M HCl) solution ranging from 0.1 mL to 5 mL were added. After source preparation via Te micro-precipitation, the \u003csup\u003e210\u003c/sup\u003ePo counts on the \u0026alpha; source were measured. As shown in Fig. \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, when the SnCl₂ addition increased from 0.1 mL to 5 mL, the \u003csup\u003e210\u003c/sup\u003ePo count measured over 24 h rose from 2 to 115.\u003c/p\u003e\n \u003cp\u003eThe \u003csup\u003e210\u003c/sup\u003ePo content in SnCl₂ depends on storage time and batch; therefore, it must be removed prior to use. Based on the principle of reduction of Te (IV) to elemental Te by SnCl₂ [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], as shown in Eq.\u0026nbsp;(\u003cspan refid=\"Equ1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), polonium is coprecipitated with Te and removed by filtration: upon addition of 100 \u0026micro;g Te⁴⁺ to 10% SnCl₂ (in 3 M HCl), a black tellurium precipitate forms. After shaking and standing for 10 min, the solution is filtered. A 5 mL aliquot of the treated SnCl₂ is used to prepare an \u0026alpha;‑measurement source; after counting for 24 h, the \u003csup\u003e210\u003c/sup\u003ePo count decreases from 115 to 3. A trace amount of Sn (Ⅳ) remained in the treated SnCl\u003csub\u003e2\u003c/sub\u003e solution, and its performance needed to be evaluated. Using this treated SnCl\u003csub\u003e2\u003c/sub\u003e, \u003csup\u003e210\u003c/sup\u003ePo sources were prepared from more than ten 10 mL UPW samples and measured. A high recovery (\u0026gt;\u0026thinsp;95%) was obtained for all samples, along with good energy resolution, as indicated by a full width at half maximum (FWHM) of approximately 22\u0026ndash;26 keV, the residual Sn (Ⅳ) did not adversely affect the reduction of Te (Ⅳ).\u003c/p\u003e\n \u003cp\u003eTe (Ⅳ)+2Sn (Ⅱ)\u0026rarr;Te\u0026darr; (black)+2Sn (Ⅳ) (1)\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eEffect of HCl\u003c/h3\u003e\n\u003cp\u003eWhen preparing a \u003csup\u003e210\u003c/sup\u003ePo thin-layer \u0026alpha; counting source by Te micro-precipitation in UPW, the Po yield remains high (75\u0026ndash;100%) over the HCl concentration range of 0.6 to 12 mol L\u003csup\u003e-1\u003c/sup\u003e [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. However, when polonium is concentrated from seawater by coprecipitation, the resulting HTiO coprecipitate must be dissolved using an appropriate concentration of HCl. As the dissolution step directly modifies the acidity and chemical environment of the system, and the yield behavior established in UPW may not be directly applicable to the complex matrix, it is necessary to systematically investigate the influence of the HCl concentration in the sample after dissolution of HTiO with HCl on the subsequent Po microprecipitation yield and the energy resolution of the thin-layer counting source. In a series of 10 mL UPW samples, 20\u0026ndash;30 mBq of \u003csup\u003e209\u003c/sup\u003ePo and 1 mL of TiCl\u003csub\u003e3\u003c/sub\u003e solution were added, and ammonium hydroxide was used to adjust the pH to 8\u0026ndash;9 to precipitate HTiO. The precipitate was dissolved in 12 mol\u0026middot;L\u003csup\u003e-1\u003c/sup\u003e HCl, and then diluted with UPW to achieve final HCl concentrations of 0.5, 1, 2.5, 3, 4, 6, and 8 mol\u0026middot;L\u003csup\u003e-1\u003c/sup\u003e respectively. \u003csup\u003e209\u003c/sup\u003ePo alpha counting sources were prepared following the described procedure, and the measurement results are shown in Figs. \u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. When the HCl concentration ranged from 0.5 to 4 mol L\u003csup\u003e-1\u003c/sup\u003e, the Po recovery varied between 99.7% and 93.9%. When the HCl concentration exceeded 4 mol L\u003csup\u003e-1\u003c/sup\u003e, the recovery gradually decreased, dropping to 65.7% at 8 mol L\u003csup\u003e-1\u003c/sup\u003e. This trend may be attributed to the reaction of tellurium and polonium ions with HCl in highly concentrated hydrochloric acid, leading to the formation of acid-soluble salts and thus reducing the Po recovery. Regarding energy resolution, poorer resolution is observed at lower HCl concentrations, with FWHM values of 46 keV and 36 keV at 0.5 and 1 mol L\u003csup\u003e-1\u003c/sup\u003e HCl, respectively. In contrast, good resolution with FWHM values ranging from 24 to 30 keV is achieved when the HCl concentration is between 2.5 and 8 mol L\u003csup\u003e-1\u003c/sup\u003e. Considering both recovery and energy resolution, 3 mol L\u003csup\u003e-1\u003c/sup\u003e HCl was selected for the preparation of polonium sources in order to achieve a balance between the two.\u003c/p\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003eEffect of TiCl\u003csub\u003e3\u003c/sub\u003e\u003c/h2\u003e\n \u003cp\u003eTitanium(III) chloride (TiCl₃) is an effective coprecipitant. Under alkaline conditions (pH 8\u0026ndash;9, it hydrolyzes and oxidizes to form a white, flocculent precipitate of HTiO, which efficiently concentrates \u003csup\u003e210\u003c/sup\u003ePo from seawater samples [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. However, as a strong reducing agent, TiCl₃ may alter the chemical speciation of polonium in solution, potentially affecting its coprecipitation behavior during the subsequent tellurium reduction micro-precipitation step. Therefore, the effect of TiCl₃ on the recovery and the energy resolution of thin-layer counting sources was evaluated.\u003c/p\u003e\n \u003cp\u003eWhen the volume of 15% TiCl₃ added was within the range of 0\u0026ndash;2.0 mL, the chemical recovery of polonium averaged 97\u0026thinsp;\u0026plusmn;\u0026thinsp;4%, indicating that the amount of TiCl₃ added had no significant effect on the recovery. In addition, the \u003csup\u003e209\u003c/sup\u003ePo thin-layer counting sources prepared under all conditions exhibited good energy resolution, with full width at half maximum (FWHM) values ranging from 20.4 to 25.8 keV. In conclusion, TiCl₃ did not have a significant adverse effect on the preparation of thin-layer counting sources by Te micro-precipitation. Based on these results, a volume of 1 mL of TiCl₃ was selected for the coprecipitation step when processing 1 L seawater samples.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eRemoval of interfering radionuclides\u003c/h2\u003e\n \u003cp\u003eWhen measuring \u003csup\u003e210\u003c/sup\u003ePo in seawater, naturally occurring or anthropogenic radionuclides (U, Th, Pu, Am) present in the marine environment emit alpha particles with energies around 4.8 and 5.3 MeV, thereby affecting the counting accuracy of \u003csup\u003e210\u003c/sup\u003ePo and \u003csup\u003e209\u003c/sup\u003ePo. Therefore, the separation of these radionuclides from Po isotopes is essential. The decontamination factors (DF) for these potential interfering radionuclides, together with their alpha energies and emission intensities, are listed in Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Acceptable decontamination factors (115\u0026ndash;196) were obtained for all these radionuclides, indicating that actinides do not precipitate under the conditions selected for the Te microprecipitation method. Hence, the Te microprecipitation method exhibits excellent selectivity for the preparation of Po counting sources for alpha spectrometry in seawater samples.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cstrong\u003eDecontamination factors and Potential Radionuclide Interferences for Polonium Isotopes\u003c/strong\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003eElement\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\n \u003cp\u003ePotential interferences (alpha energy (MeV)) and emission intensity\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eDF\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e209\u003c/sup\u003ePo(4.88)98.9%\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e210\u003c/sup\u003ePo(5.30)100%\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003eTh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e230\u003c/sup\u003eTh(4.62)23.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e228\u003c/sup\u003eTh(5.34)26.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003e158\u0026thinsp;\u0026plusmn;\u0026thinsp;9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e230\u003c/sup\u003eTh(4.69)76.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e228\u003c/sup\u003eTh(5.42)73.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eU\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e234\u003c/sup\u003eU(4.78)71.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e\n \u003cp\u003e163\u0026thinsp;\u0026plusmn;\u0026thinsp;9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003ePu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e242\u003c/sup\u003ePu(4.86)23.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e238\u003c/sup\u003ePu(5.46)28.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003e197\u0026thinsp;\u0026plusmn;\u0026thinsp;10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e242\u003c/sup\u003ePu(4.90)76.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e238\u003c/sup\u003ePu(5.50)71. 0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003eAm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e241\u003c/sup\u003eAm(5.49)85.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003e115\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e\u003csup\u003e241\u003c/sup\u003eAm(5.44)13.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\"\u003e\u003csup\u003ea\u003c/sup\u003eDF = [(activity added) / (activity found on the filter)]\u0026times;(recovery of Po)\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eMethod validation\u003c/h2\u003e\n \u003cp\u003eTo validate the reliability of the present method, batches of samples were prepared and measured, including reagent blank samples, seawater blank samples, and spiked seawater samples.\u003c/p\u003e\n \u003cp\u003eBlank measurements\u003c/p\u003e\n \u003cp\u003eThe measurement results for the reagent blank samples (RB1\u0026ndash;RB3) and seawater blank samples (SB1\u0026ndash;SB3) are shown in Table \u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The MDC of \u003csup\u003e210\u003c/sup\u003ePo in the samples was calculated using Currie\u0026rsquo;s Eq.\u0026nbsp;(\u003cspan refid=\"Equ1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]:\u003c/p\u003e\n \u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\n \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003c/div\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\" class=\"fr-table-selection-hover\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eThe results of \u003csup\u003e210\u003c/sup\u003ePo in reagent blanks and sample blanks\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eSampleID\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e\u003csup\u003e210\u003c/sup\u003ePo (mBq L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eChemical recovery (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eMDC(mBq L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eRB1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e0.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e99\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eRB2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e0.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e96\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eRB3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e0.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e101\u0026thinsp;\u0026plusmn;\u0026thinsp;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e0.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e99\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eSB-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e2.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e88\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eSB-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e2.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e89\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eSB-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e2.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e92\u0026thinsp;\u0026plusmn;\u0026thinsp;3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e\n \u003cp\u003e2.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e\n \u003cp\u003e89\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003eSpiked tests\u003c/p\u003e\n \u003cp\u003eThe \u003csup\u003e210\u003c/sup\u003ePb with known activities (5\u0026ndash;80 mBq) in secular equilibrium with its daughter nuclides \u003csup\u003e210\u003c/sup\u003eBi and \u003csup\u003e210\u003c/sup\u003ePo was added to 1 L seawater samples. After preparing the counting sources, \u003csup\u003e210\u003c/sup\u003ePo was determined by alpha spectrometry, and the results are shown in Fig. \u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e The measured activities of \u003csup\u003e210\u003c/sup\u003ePo in the spiked samples agreed well with the expected values, with deviations within \u0026plusmn;\u0026thinsp;10%. The average chemical recovery of \u003csup\u003e210\u003c/sup\u003ePo in the spiked samples was 88\u0026thinsp;\u0026plusmn;\u0026thinsp;3% (detailed chemical recovery results for individual spiked samples are not listed), which is consistent with the average chemical recovery obtained for the blank measurements mentioned above.\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003ch2\u003eSample analysis throughput\u003c/h2\u003e\n \u003cp\u003eThis method is rapid and can be readily set up for batch processing. For a batch of eight 1 L seawater samples, a single analyst can complete sample preparation in approximately 2.5 h: tracer addition and pre-concentration take about 1 h, acid dissolution and filtration to remove insoluble particulate matter take 1 h, and tellurium micro-precipitation along with alpha source preparation take about 0.5 h. The microprecipitation method is faster than the traditional spontaneous deposition method for preparing \u0026alpha;-sources for \u003csup\u003e210\u003c/sup\u003ePo measurement, which typically takes 3 to 5 h, not including the sample pretreatment steps. After counting for 24 h, results can be reported within 2 working days.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn this work, a method was established for the determination of \u0026sup2;\u0026sup1;⁰Po in seawater samples using tellurium microprecipitation. The performance of the method was evaluated by analyzing reagent blanks and real seawater samples. The measured activities in spiked seawater samples agreed well with the expected values. For a 1 L seawater sample and a counting time of 24 h, the minimum detectable activity concentration of \u0026sup2;\u0026sup1;⁰Po was found to be 0.5 mBq L⁻\u0026sup1;, indicating that the method has sufficient sensitivity for the determination of \u0026sup2;\u0026sup1;⁰Po in environmental seawater samples at the mBq L⁻\u0026sup1; level. In addition, the method is suitable for batch processing and offers a short analytical turnaround time.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eLina Ma wrote the main manuscript text . All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eNo funding was received for this work.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData Availability StatementThe data that support the findings of this study are available from the corresponding author upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eDługosz-Lisiecka M, Ciapka D (2024) A fast method of liquid-liquid extraction for simultaneous \u003csup\u003e210\u003c/sup\u003ePb, \u003csup\u003e210\u003c/sup\u003eBi, \u003csup\u003e210\u003c/sup\u003ePo isotopes determination in water samples. J Radiat Phys Chem. 224:112066\u003c/li\u003e\n \u003cli\u003eAl-Masri MS, Nashawati A, Amin Y, Al-Akel B (2004) Determination of \u003csup\u003e210\u003c/sup\u003ePo in tea, mat\u0026eacute; and their infusions and its annual intake by Syrians. J Radioanal Nucl Chem 260:27\u0026ndash;34\u003c/li\u003e\n \u003cli\u003eBaskaran M, Church T, Hong G\u0026nbsp;(2013)\u0026nbsp;Effects of flow rates and composition of the filter, and decay/ingrowth correction factors involved with the determination of in situ particulate \u003csup\u003e210\u003c/sup\u003ePo and \u003csup\u003e210\u003c/sup\u003ePb in seawater. \u003cstrong\u003eJ\u0026nbsp;\u003c/strong\u003eLimnol Oceanogr.:\u0026nbsp;Methods 11:126\u0026ndash;138\u003c/li\u003e\n \u003cli\u003eBiggin CD, Cook GT, MacKenzie AB, Patesn JM\u0026nbsp;(2002) Time-Efficient Method for the Determination of \u003csup\u003e210\u003c/sup\u003ePb, \u003csup\u003e210\u003c/sup\u003eBi, and \u003csup\u003e210\u003c/sup\u003ePo Activities in Seawater Using Liquid Scintillation Spectrometry.\u0026nbsp;J\u0026nbsp;\u003cem\u003eAnal Chem\u003c/em\u003e\u003cem\u003e.\u0026nbsp;\u003c/em\u003e74:671\u0026ndash;677\u003c/li\u003e\n \u003cli\u003eZhong Q, Puigcorbe V, Sanders C, Du J\u0026nbsp;(2020)\u0026nbsp;Analysis of \u003csup\u003e210\u003c/sup\u003ePo, \u003csup\u003e210\u003c/sup\u003eBi, and \u003csup\u003e210\u003c/sup\u003ePb in atmospheric and oceanic samples by simultaneously auto-plating \u003csup\u003e210\u003c/sup\u003ePo and \u003csup\u003e210\u003c/sup\u003eBi onto a nickel disc.\u0026nbsp;J Environ Radioact.\u0026nbsp;220\u0026ndash;221:106301\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eMatthews KM, Kim C-K, Martin P (2007) Determination of \u003csup\u003e210\u003c/sup\u003ePo in environmental materials: A review of analytical methodology. J Appl Radiat Isot 65:267\u0026ndash;279\u003c/li\u003e\n \u003cli\u003eKelecom A, Gouvea R C S (2011) Increase of \u003csup\u003e210\u003c/sup\u003ePo levels in human semen fluid after mussel ingestion. J Environ Radioact 102:443\u0026ndash;447\u003c/li\u003e\n \u003cli\u003eLee, HW, Chae, JS (2023) Experimental optimization of physicochemical factors for spontaneous deposition of \u003csup\u003e210\u003c/sup\u003ePo using newly designed deposition kit. J Appl Radiat Isot. 197:110835 \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/li\u003e\n \u003cli\u003eDesideri D, Meli MA, Feduzi L, Roselli C, Rongoni A, Saetta D (2007) \u003csup\u003e238\u003c/sup\u003eU, \u003csup\u003e234\u003c/sup\u003eU, \u003csup\u003e226\u003c/sup\u003eRa, \u003csup\u003e210\u003c/sup\u003ePo concentrations of bottled mineral waters in Italy and their dose contribution. J Environ Radioact 94:86\u0026ndash;97\u003c/li\u003e\n \u003cli\u003eLin Z, Wu Z (2009) Analysis of polonium-210 in food products and bioassay samples by isotope-dilution alpha spectrometry. J Appl Radiat Isot. 67:907\u0026ndash;912\u003c/li\u003e\n \u003cli\u003eMeli MA, Desideri D, Roselli C, Feduzi L (2009) \u003csup\u003e210\u003c/sup\u003ePo determination in urines of people living in Central Italy. J Environ Radioact 100:84\u0026ndash;88\u003c/li\u003e\n \u003cli\u003eLee HM, Hong GH, Baskaran M, Kim SH, Kim YI (2014) Evaluation of plating conditions for the recovery of \u003csup\u003e210\u003c/sup\u003ePo on a Ag planchet. J Appl Radiat Isot. 90:170\u0026ndash;176\u003c/li\u003e\n \u003cli\u003eGuerin N, Dai X (2013) Rapid preparation of polonium counting sources for alpha spectrometry using copper sulfide microprecipitation. J Anal Chem. 85:6524\u0026ndash;6529\u003c/li\u003e\n \u003cli\u003eGuerin N, Dai X (2014) Determination of \u003csup\u003e210\u003c/sup\u003ePo in drinking water and urine samples using copper sulfide microprecipitation. J Anal Chem. 86:6026\u0026ndash;6031\u003c/li\u003e\n \u003cli\u003eSong L, Ma Y, Wang Y, Yang Y (2017) Method of polonium source preparation using tellurium microprecipitation for alpha spectrometry. J Anal Chem. 89:13651\u0026ndash;13657\u003c/li\u003e\n \u003cli\u003eCarrasco H, Cochran J K, Gasser B, Sanz-Alvarez I (2026) Comparing methods for measuring \u003csup\u003e210\u003c/sup\u003ePo in seawater: Fe(OH)\u003csub\u003e3\u003c/sub\u003e can extract less \u003csup\u003e210\u003c/sup\u003ePo than Co-APDC and thus overestimate POC export fluxes.J Mar Chem 275:104618\u003c/li\u003e\n \u003cli\u003eSong L , Yang Y , Luo M , Ma Y, Dai X (2017) Rapid determination of radium-224/226 in seawater sample by alpha spectrometry. J Environ Radioact. 171:169\u0026ndash;175\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eOkubo A, Obata H, Magara M, Kimura T (2013) Rapid collection of iron hydroxide for determination of Th isotopes in seawater. Anal Chim Acta. 804:120\u0026ndash;125\u003c/li\u003e\n \u003cli\u003eSong Y, Deng B, Wang K, Zhang Y, Gao J, Cheng X (2024) Highly-efficient adsorbent materials for uranium extraction from seawater. J Environ Chem Eng. 12:113967\u003c/li\u003e\n \u003cli\u003eWei X, Zhang R, Zhu J, Wang S, Guan Y, Li G, Yin Y, Liu Z (2024) Spatial distribution and modelling of \u003csup\u003e239+240\u003c/sup\u003ePu in the sediments and seawater columns of the South China Sea and Indian Ocean. J Environ Pollut. 343:123244\u003c/li\u003e\n \u003cli\u003eZhang L, Vassileva E (2024) Determination of ultra-trace level \u003csup\u003e241\u003c/sup\u003eAm in marine sediment and seawater by combining TK200-TK221 tandem-column extraction chromatography and SF ICP-MS. J Talanta 271:125724\u003c/li\u003e\n \u003cli\u003eCurrie LA (1968) Limits for qualitative detection and quantitative determination: application to radioactivity. J Anal Chem. 40:586\u0026ndash;593\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"210Po, seawater, microprecipitation, alpha spectrometry","lastPublishedDoi":"10.21203/rs.3.rs-9312664/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9312664/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePolonium-210 (\u003csup\u003e210\u003c/sup\u003ePo) can be rapidly determined in seawater samples by alpha spectrometry using tellurium (Te) microprecipitation. In this method, Po is first pre-concentrated using titanium trichloride (TiCl\u003csub\u003e3\u003c/sub\u003e), redissolved in 3M HCl, and filtered. The Te microprecipitation was then applied to the supernatant. Replicate spiked samples and blank samples were analyzed to evaluate the performance of the procedure. For \u003csup\u003e210\u003c/sup\u003ePo in 1 L seawater samples, the minimum detectable activity (MDC) concentration was determined to be 0.5 mBq L\u003csup\u003e-1\u003c/sup\u003e with a counting time of 24 h, and high recoveries (~\u0026thinsp;89%) were achieved. This method is suitable for the rapid batch screening of \u003csup\u003e210\u003c/sup\u003ePo in environmental water samples.\u003c/p\u003e","manuscriptTitle":"Determination of 210Po in Seawater by Tellurium Microprecipitation Method","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-21 12:56:18","doi":"10.21203/rs.3.rs-9312664/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"3449b017-dad8-46ad-8b04-d390913646c0","owner":[],"postedDate":"April 21st, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Revision requested","date":"2026-05-13T07:51:45+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-11T18:36:06+00:00","index":20,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-06T11:07:58+00:00","index":19,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-13T07:59:50+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-21 12:56:18","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9312664","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9312664","identity":"rs-9312664","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}