Analysis of Used Sem (Scanning Electron Microscope) of Rice Husk Used as Absorber Plates Sea Water Into Clean Water

Analysis of Used Sem (Scanning Electron Microscope) of Rice Husk Used as Absorber Plates Sea Water Into Clean Water | 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 Analysis of Used Sem (Scanning Electron Microscope) of Rice Husk Used as Absorber Plates Sea Water Into Clean Water Humayatul Ummah Syarif, Ahmad Thamrin Dahri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7106210/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 Chaff is part of the grain grains (cereals) in the form of dry sheets, scaly, and can not be eaten, which protects the inside (endospermium and embryo). Husk can be found in almost all members of grasses (poaceae), although in some kinds of cultivation were also found that the variation of grain without husk (eg maize and wheat). This husk is a waste of life from the Plant. In agriculture, rice husk can be used as a mixed feed, litter, mixed in the soil as fertilizer, burned, or ashes are used as growing media, in print used as a fuel substitute for oil. In this study, rice husk fuel and charcoal briquettes will be used as the absorber. The results showed that the composition of rice husk after being submerged in sea water distillation process and experience a decline. The conclusion was that the actual rice husk as waste can be made as briquettes, fertilizer, fuel and others but also it can be used as an absorber plate in the distillation process sea water into clean water. The results obtained in which the chemical composition of all decreased for example Cl = 36.41 mm% decreased to 23.71mm%, Si = 30.48mm% to 22.27mm% and Fe = 17.27mm% to 9.62mm% and so on. This was due to rice husk briquettes as an absorber plate in the container of distilled lead compounds dissolved therein participate after undergoing a process of condensation. Energy Engineering Environmental Engineering rice husk adsorbents sea water SEM Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 I. INTRODUCTION A. Background Indonesia is an agricultural country where agriculture sizeable 8.1% of agricultural land is 45 764 km2. This lead to more than a grain of rice production is obtained. The rice husk is a waste of grain that can be used. Whether in the form of fertilizers, as a substitute for fuel oil, and also can be used as an absorber plate made for the desalination process into clean water. This process can happen by doing research on the material that has been used as an absorbent rice husk briquettes. Chaff is part of the grain grains (cereals) in the form of sheets dry, scaly, and cannot be eaten, which protects the inside (endospermium and embryo). Husk can be found in almost all members of grasses (Poaceae), although in some kind of cultivation was also found that the variation of grain without husk (eg maize and wheat). In agriculture, the chaff can be used as a mixed feed, litter, mixed in the soil as fertilizer, burned, or charcoal used as a planting medium. Rice (Latin: Oryza sativa L.) is one of the most important crops in civilization. Although primarily refers to the type of crop, rice is also used to refer to some kind of genera (genus) are the same, which is commonly referred to as wild rice. Rice thought to have come from India or Indochina and into Indonesia brought by ancestors who migrated from the mainland of Asia about 1500 BC. World rice production ranks third of all cereals, after maize and wheat. However, rice is the main carbohydrate source for the majority of the world population. The results of processing paddy rice called. Rice husk is used as absorber in seawater distillation process into clean water. For that we need a clean alternative water supply and quality of drinking water and do not endanger the public. Given the abundance of water resources from the sea, it is necessary to study about the possibility exploited sea water as raw materials meet the needs of clean water for the community as well as the advantages which may be obtained when using sea water as raw material for water taps. The processing of salt water into clean water called seawater desalination processes, one of which is done with rice husk absorber system. The purpose of this study was to analyzed the chemical and physical composition of rice husk which has been burned and made into briquettes and analyzed its influence on the distillation process is done with the help of sunlight to make sea water into clean water. II. THEORETICAL 2.1. Rice husk Rice husk is berlins cellulose like other biomass materials but siliceous high. Chemical content of rice husk consists of 50% cellulose, 25–30% lignin, and 15–20% silica [ 1 ]. Rice husk has now been developed as a raw material to produce ash that is known in the world as the RHA (rice husk ask). Rice husk ash produced from burning rice husks at a temperature of 400o − 500o C will become amorphous silica and at temperatures greater than 1.000o C will become crystalline silica. The resulting amorphous silica from rice husk ash is suspected as an important source to produce pure silicon, silicon carbide, and silicon nitride flour [ 2 ]. The burning of rice husk using conventional methods such as fluidised bed combustors produce CO emission between 200–2000 mg / Nm3 and NOx emissions between 200–300 mg / Nm3 [ 3 ]. Rice husk combustion method developed by Cogen-AIT is able to reduce the potential for CO2 emissions by 14 762 tonnes, 74 tonnes of CH4 and NO2 of 0.16 tons per year from burning rice husks of 34 919 tonnes per year [ 4 ]. Husk has a density of type (bulk Densil) 1125 kg / m3, with a calorific value of 1 kg of rice husk of 3300 k. calories, and has a bulk density of 0.100 g / ml, calorific value between 3300–3600 calorie / kg chaff with thermal conductivity of 0.271 BTU [ 5 ]. Chaff is categorized as a biomass that can be used for a variety of needs such as industrial raw materials, feed and energy or fuel or as adsorption on heavy metals. Chaff is composed of a network of cellulose fibres which contains a lot of silica in the form of fibres that are very hard. In normal circumstances, an important role to protect the seed husks of rice from damage caused by a fungus, can prevent rancidity reactions because it can protect the oil-rich thin layer against mechanical damage during harvesting, milling and transport [ 6 ]. Husk cellulose content high enough to provide a uniform and stable combustion, to facilitate the diversification of its use, the chaff advance through the process of making rice husk and then compacted, molded and dried, called Rice Husk Briquette. 2.2. Absorber Absorber is a tool used for absorption processes, namely the process of fluid absorption by gas throughout the liquid as an absorbent. Absorption process is used to separate a gas component of the gas mixture using a liquid as absorbent / absorbent. Absorbent used is determined from the solubility of a gas in a liquid substance specific. The example of the absorption process is the separation of oxygen from gas mixtures by using water as the absorbent. As previously described absorber is a component of the gas separation apparatus by liquid as solvent. Its working principle is a gas mixture is fed from the bottom (bottom) absorber tower, to be contacted with the liquid from the top (top) absorber. Component gas having the largest solubility in the liquid will dissolve along with the adsorbent (liquid) and into the bottom product, while the other gas components which are not dissolved in the absorbent will be upward as the top product. Because the working principle Absorber by the solubility of gases in liquids, the operating conditions Absorber is at a low temperature and high pressure. Where in these conditions, the solubility of the gas in the liquid phase will be a maximum (remember the ideal gas law). 2.3. SEM ( Scanning Electron Microscope ) SEM ( Scanning Electron Microscope ) is an electron microscope used to analyze the surface material. SEM can also be used to analyze data crystallography, so it could be developed to determine the compound or element. In principle work SEM, two saner electrons are used simultaneously. The strike specimens used to test the compound or element and the other CRT ( Cathode Ray Tube ) give it looks like a picture, so have two monitor screens, SEM uses the principles scanning, meaning the sheaf electrons directed from point to point on the object. The Movement sheaf electrical engineering from a point to the point where there are in a region object is a movement to read 2.4. Clean water Clean water is the water that is used for everyday purposes and will be drinking water after it is cooked first. As the limit, water is water that meets the requirements for drinking water supply system. The requirements in question are the requirements in terms of water quality include physical, chemical, biological and radiological, so if consumption does not cause any side effects (General Provisions Permenkes 416 / Menkes/Per/IX/1990. The system must meet the clean water some major persyarakat. Persyarakat include qualitative requirements, quantitative requirements and continuity requirements. Requirements describe the quality of the quality or the quality of the raw water clean water. These requirements include physical requirements, the requirements of chemical, biological requirements and requirements of radiological. The terms are based Permenkes No.416/Menkes/Per/IX/1990 stated that the water quality requirements are as follows: Physically: Clean water should be clear, odorless and tasteless. In addition, the water temperature should be equal to the air temperature is 25 ° C or less, and if there is a difference then the exposure limit is 25 ° C ± 3 ° C. The terms of Chemistry: clean water should not contain chemicals that exceed the limit quantities. Some chemical requirements include: pH, total solid, organic substances, CO2agresif, hardness, calcium (Ca), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), chloride (Cl), nitrite, fluoride (F), as well as heavy metals. The terms of bacteriological and microbiological that clean water should not contain bacteria and parasitic pathogens which affect health. A bacteriological requirement is characterized by the absence of the bacteria E. coli or faecal coli in water. The terms of Radiological were the radiological condition requires that clean water should not contain substances that produce materials containing radioactive, such as alpha rays, beta and gamma. 2.4. Definition of Sea Water Sea is a collection of salty sea water in large numbers and wide that bathes and divides the land on the continent or island. (Dictionary of Indonesian Edison fourth-2008). So the water covers the sea is very spacious ground level and generally contain salt and salty. Usually the water flowing in the land will lead to the sea. Sea water is a mixture of 96.5% pure water and 3.5% other materials such as salts, dissolved gases, organic ingredients and no terlarut.Air particles containing sea salt, therefore it was to be salty. The average sea water is containing 3.5% salt. This means that in every 1 kg of salt content of sea water as much as 35 grams. Sea Water differences with Freshwater: Sea water has a salty taste, while clean water is not. This is because the sea water containing salt content of 3.5%, while the clean water does not contain salt. The quantity of sea water on earth is much greater than the amount of clean water. 97% of the water on Earth is sea water, and only 3% in the form of clean water. The sea water is denser than clean water, because the levels of salt contained in seawater add mass but does not affect the volume of the sea water. Sea water contains dissolved ions is greater than freshwater. Ions whose existence is abundant in sea water are sodium, chloride, magnesium, sulfate, and calcium. The content of chemical elements in sea water: Cloride (Cl), sodium (Na), magnesium (Mg), sulfur (S), calium (Ca), Calcium (K), bromine (Br), Carbon (C), Cr, B. While the content of chemical elements in clean water: calcium, iron, lead, magnesium, copper, sodium, chloride, and chlorine. Benefits of Sea Water Management: Providing solutions to the water crisis. With the management of sea water into clean water that can be consumed by people can overcome their water crisis. Management of sea water into clean water that is fit for consumption can reduce the use of underground water which is believed to be the main cause of soil degradation in several places in Indonesia. In management sea water containing salt into clean water can produce a salt which can also be consumed. Management of sea water into clean water can also be a profitable business opportunity for companies of national and international drinking water to be able to provide safe drinking water to its customers. III. METHODOLOGY Rice husk is obtained in an agricultural area in Maros, South Sulawesi Province, Indonesia. Rice husks from rice milling plant, then burned to make charcoal in. After becoming charcoal, then it mixed with clay and starch to be used as briquettes. Rectangular shaped briquettes with size (20x20x8) cm, which is the absorber. Briquettes were mixed and then studied in laboratory by using ARL QUANT'X ED, XRF ANALYZER. A briquette is an absorber made of sea water into clean water. Produced water was tested by chemical and physical properties. Rice husk briquettes compound composition before and after the distillation process using XRF methods are shown in graphical form. IV. RESULTS AND DISCUSSION Rice husk results after the combustion process into charcoal, then printed with size (20x20x8) cm to be used as absorber in the distillation process. Rice husk is used as the absorber is studied in the Laboratory of Physics at Hasanuddin University, Makassar, Indonesia. Rice husk briquettes was shown in Fig. 1 . Physical and chemical compositions were produced before and after the distillation process is obtained by results XRF as follows (tabel.1). Table 1. Chemical composition of the XRF results Chaff The chemical composition of rice husk briquettes after being used as absorber in the distillation process is decreased as a result of the evaporation of sea water into clean water. The results obtained by using XRF showed that rice husk contains Cl sizeable and Silica second. While the SEM tool, it was large enough to contain silica and oxygen to the two sequences. XRF instrument showed that the composition of Si compound after undergoing a process of distillation is used as the absorber was experiencing a decline in value of Si = 30.48 m/m% (before the distillation process) turn into Si = 22:27 m/m%. (after the distillation process). The compounds that are the rice husks from the results of SEM analysis (EDAX) was obtained as follows: Si (silica), C (carbon), N (nitrogen), O (Oxygen), Fe (Felon), Na (sodium), Mg (magnesium) and Al (aluminum), During the process of distillation, rice husk charcoal briquettes that have been created as an absorbent in the distillation process sea water into clean water. Compounds in rice husk is a compound that can be used in the distillation process. This showed in Table 2 and Table 3 , where compound Nitrogen (N), Oxygen (O), Feron (Fe), magnesium (Mg) and aluminum (Al) increased Wt% and At% on this distillation process. While Silica compound (Si), nitrogen (N) and Sodium (Na) has decreased. This is due to the elements related to the boiling point and melting point of the compound owned. Results obtained by using a SEM study showed also that the results of the graph show the value of the largest silica, and smaller Cl. The chemical composition of rice husk briquettes was shown in Fig. 2 and Fig. 3 . Ions whose existence is abundant in sea water are sodium, chloride, magnesium, sulfate, and calcium. While the existing chart based on the results of the research we do, the ions before undergoing a process of absorbent has a value of 5%, while after processing absorbent made from rice husks undergone a process of decline of 4%. While the value of the element silica decreased from 8.3–5.6% after the absorber by rice husk. Table 2 Chemical composition of the SEM results before undergoing a process of distillation. Element Wt% At% CK 13.58 22.72 NK 2.13 3.05 OK 27.16 34.13 FeL 3.41 1.23 NaK 0.43 0.37 MgK 0.40 0.33 AlK 10.66 7.94 SiK 42.23 30.23 Matrix Correction ZAF Table 3 Chemical composition of the SEM results after undergoing a process of distillation Element Wt% At% CK 10.18 17.47 NK 2.34 3.44 OK 30.41 39.18 FeL 6.83 2.52 NaK 0.19 0.17 MgK 0.74 0.63 AlK 13.82 10.56 SiK 35.49 26.04 Matrix Correction ZAF As the SEM tool on the Table 2 shows the Wt% of Si = 42.23% and At% Si = 30.23% (before the distillation process) and Wt% of Si = 35.49%, and At% of Si = 26.04% (After the distillation process). It showed that rice husk rice husks undergone a process of decreased of Wt% = 6.74% and At% = 4.19% could be used as an absorber in seawater distillation process into clean water. And the SEM tool on the Table 2 shows the Wt% and At% a process of increased ie: Si (Silika), C (Carbon), and Na (Natrium). The results obtained in image analysis of SEM photos show the change of shape. In Fig. 4 shows that the shape of rice husk before it is used as absorbent the distillation process looks solid and not hollow. In Fig. 5 shows that the shape of rice husk is used as the absorbent after the distillation process sea water into clean water turns into a hollow. V. CONCLUSION The results of the above studies concluded that rice husk briquettes made it a waste that can be used not only as a substitute for kerosene fuel, fertilizer, cement, but also can be used as an absorber plate in the distillation process that makes sea water into clean water. It is seen that the composition of rice husk before and after use in the process of distillation decreased significantly chemical composition. The compounds that are the rice husks from the results of SEM analysis (EDAX) was obtained as follows: Si (silica), C (carbon), N (nitrogen), O (Oxygen), Fe (Feron), Na (sodium), Mg (magnesium) and Al (aluminum).during the process of distillation, rice husk charcoal briquettes that have been created as an absorbent in the distillation process sea water into clean water. Declarations Acknowledgment Thank the Directorate General of Higher Education Ministry of Education and Culture Republic Indonesia that has funded this research Sandwich (PKPI-LIKE 2014), with contract number: 2347/K9/KT.03/2014 and from Setneg No. B-15337/Kemsetneg/setmen/KTLN/KL 00/08/2014. Mostly the research works were done in the mechanical Engineering Laboratory, Politeknik University, Makassar-Indonesia. References Ismail MS, Waliuddin AM (1996) Effect of Rice Husk Ash on High Strength Concrete. Constr Build Mater 10(1):521–526 Katsuki H, Furuta S, Watari T, Komarneni S (2005) ZSM-5 zeolite/porous carbon composite: Conventional- and Microwave-Hydrothermal Synthesis from Carbonized Rice Husk. Microporous Mesoporous Mater 86:145–151 Armesto L, Bahillo A, Veijonen K, Cabanillas A, Otero J (2002) Combustion Behaviour of Rice Husk in a Bubbling Fluidised Bed. Biomass Bioenergy 23:171–179 Mathias AJ (2000) Environmental Benefits of Biomass Energy Projects . Paper Presented at Seminar on Environmental Impact of Developing Biomass Energy Projects for Power Generation/Cogeneration, Bangkok, Thailand, October 24–26, 2000 Houston DF (1972) Rice Bran and Polish. : Rice: Chemistry & Technology, 1st Ed. Amer: Assoc. Cereal Chem. Inc., St. Paul, Minnesota, USA, pp 272–300 Haryadi (2006) Teknologi Pengolahan Beras. Gadjah Mada University, Yogyakarta Humayatul US, dkk (2014) Effect of Chemical Composition of Rice Husk used as an Absorber Plate making Sea Water into Clean Water, C207. Hal. 80. Additional Declarations The authors declare no competing interests. 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-7106210","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":484341944,"identity":"f564bc56-750e-462c-98e3-5dc104aa66ce","order_by":0,"name":"Humayatul Ummah Syarif","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYBACAxiDj4H5AJCSkCFWiwEDGwNbAkgLDylaeMBswlrMJbITP/PU/Elsk8j5/OpGjQUPA/vhoxvwabGckbtZmueYAVBL7jbrnGNAh/Gkpd3A67AbuRukedggWoxz2IBaJHjMCGnZ/JvnH0hLzjPjnH/EadkmzdsG1sL8OLeNGC1n3m6znNtnbNzG88yMObdPgoeNoF+O526+8eabnGw/e/Ljzznf6uT42Q8fw6sFBJigccEmASYJKQcBxh8QmvkDMapHwSgYBaNg5AEAtf9FNuyApkkAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0003-0604-9040","institution":"Universitas Fajar","correspondingAuthor":true,"prefix":"","firstName":"Humayatul","middleName":"Ummah","lastName":"Syarif","suffix":""},{"id":484341945,"identity":"5520ad39-914e-431e-b565-fd1b3e71a8dc","order_by":1,"name":"Ahmad Thamrin Dahri","email":"","orcid":"https://orcid.org/0009-0001-7307-3468","institution":"Universitas Fajar","correspondingAuthor":false,"prefix":"","firstName":"Ahmad","middleName":"Thamrin","lastName":"Dahri","suffix":""}],"badges":[],"createdAt":"2025-07-12 06:43:44","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7106210/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7106210/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86728211,"identity":"003c7b34-8835-41b1-9bd1-e0bbf8eec3e8","added_by":"auto","created_at":"2025-07-15 03:15:38","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":174140,"visible":true,"origin":"","legend":"\u003cp\u003eRice husk briquettes until press\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/ae7e0b56d8f985c560cc8771.png"},{"id":86728208,"identity":"ab070fec-2cc6-474b-8d75-b4b32e2166f5","added_by":"auto","created_at":"2025-07-15 03:15:38","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":19387,"visible":true,"origin":"","legend":"\u003cp\u003eResults Graph Value Si ≤ 8.3 as adsorbent before undergoing a process of distillation\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/e831ada7aa92a80399bbb5f1.png"},{"id":86728207,"identity":"a73c12e4-0b66-417c-929f-005af0eee80d","added_by":"auto","created_at":"2025-07-15 03:15:37","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":18849,"visible":true,"origin":"","legend":"\u003cp\u003eResults Graph Value Si ≤ 5.6 as adsorbent before undergoing a process of distillation\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/6aeda7b01d1cace5a1e056fc.png"},{"id":86728213,"identity":"e04c107d-1370-44f9-846d-c3d1d1958682","added_by":"auto","created_at":"2025-07-15 03:15:38","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":48588,"visible":true,"origin":"","legend":"\u003cp\u003eRice husk briquettes as adsorbent before undergoing a process of distillation\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/d518211f9d7274dc8fc0f257.png"},{"id":86728224,"identity":"d73a9056-fa7e-4084-b3bd-3f41f810c7db","added_by":"auto","created_at":"2025-07-15 03:15:38","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":62446,"visible":true,"origin":"","legend":"\u003cp\u003eRice husk briquettes as adsorbent after \u0026nbsp;undergoing a process of distillation\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/79cae1477f7934c3e6dc1e60.png"},{"id":86728839,"identity":"212d6155-938d-47ad-8dab-d82569137036","added_by":"auto","created_at":"2025-07-15 03:23:47","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":842797,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7106210/v1/f752fc5b-910c-4bf6-86d1-56a2c12fd3af.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eAnalysis of Used Sem (Scanning Electron Microscope) of Rice Husk Used as Absorber Plates Sea Water Into Clean Water\u003c/p\u003e","fulltext":[{"header":"I. INTRODUCTION","content":"\u003ch3\u003eA. Background\u003c/h3\u003e\n\u003cp\u003eIndonesia is an agricultural country where agriculture sizeable 8.1% of agricultural land is 45 764 km2. This lead to more than a grain of rice production is obtained. The rice husk is a waste of grain that can be used. Whether in the form of fertilizers, as a substitute for fuel oil, and also can be used as an absorber plate made for the desalination process into clean water. This process can happen by doing research on the material that has been used as an absorbent rice husk briquettes. Chaff is part of the grain grains (cereals) in the form of sheets dry, scaly, and cannot be eaten, which protects the inside (endospermium and embryo). Husk can be found in almost all members of grasses (Poaceae), although in some kind of cultivation was also found that the variation of grain without husk (eg maize and wheat). In agriculture, the chaff can be used as a mixed feed, litter, mixed in the soil as fertilizer, burned, or charcoal used as a planting medium. Rice (Latin: Oryza sativa L.) is one of the most important crops in civilization. Although primarily refers to the type of crop, rice is also used to refer to some kind of genera (genus) are the same, which is commonly referred to as wild rice. Rice thought to have come from India or Indochina and into Indonesia brought by ancestors who migrated from the mainland of Asia about 1500 BC.\u003c/p\u003e\u003cp\u003eWorld rice production ranks third of all cereals, after maize and wheat. However, rice is the main carbohydrate source for the majority of the world population. The results of processing paddy rice called. Rice husk is used as absorber in seawater distillation process into clean water. For that we need a clean alternative water supply and quality of drinking water and do not endanger the public. Given the abundance of water resources from the sea, it is necessary to study about the possibility exploited sea water as raw materials meet the needs of clean water for the community as well as the advantages which may be obtained when using sea water as raw material for water taps. The processing of salt water into clean water called seawater desalination processes, one of which is done with rice husk absorber system.\u003c/p\u003e\u003cp\u003eThe purpose of this study was to analyzed the chemical and physical composition of rice husk which has been burned and made into briquettes and analyzed its influence on the distillation process is done with the help of sunlight to make sea water into clean water.\u003c/p\u003e"},{"header":"II. THEORETICAL","content":"\u003cdiv id=\"Sec2\" class=\"Section2\"\u003e\u003ch2\u003e2.1. Rice husk\u003c/h2\u003e\u003cp\u003eRice husk is berlins cellulose like other biomass materials but siliceous high. Chemical content of rice husk consists of 50% cellulose, 25\u0026ndash;30% lignin, and 15\u0026ndash;20% silica [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Rice husk has now been developed as a raw material to produce ash that is known in the world as the RHA (rice husk ask). Rice husk ash produced from burning rice husks at a temperature of 400o \u0026minus;\u0026thinsp;500o C will become amorphous silica and at temperatures greater than 1.000o C will become crystalline silica. The resulting amorphous silica from rice husk ash is suspected as an important source to produce pure silicon, silicon carbide, and silicon nitride flour [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The burning of rice husk using conventional methods such as fluidised bed combustors produce CO emission between 200\u0026ndash;2000 mg / Nm3 and NOx emissions between 200\u0026ndash;300 mg / Nm3 [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Rice husk combustion method developed by Cogen-AIT is able to reduce the potential for CO2 emissions by 14 762 tonnes, 74 tonnes of CH4 and NO2 of 0.16 tons per year from burning rice husks of 34 919 tonnes per year [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Husk has a density of type (bulk Densil) 1125 kg / m3, with a calorific value of 1 kg of rice husk of 3300 k. calories, and has a bulk density of 0.100 g / ml, calorific value between 3300\u0026ndash;3600 calorie / kg chaff with thermal conductivity of 0.271 BTU [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Chaff is categorized as a biomass that can be used for a variety of needs such as industrial raw materials, feed and energy or fuel or as adsorption on heavy metals. Chaff is composed of a network of cellulose fibres which contains a lot of silica in the form of fibres that are very hard. In normal circumstances, an important role to protect the seed husks of rice from damage caused by a fungus, can prevent rancidity reactions because it can protect the oil-rich thin layer against mechanical damage during harvesting, milling and transport [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Husk cellulose content high enough to provide a uniform and stable combustion, to facilitate the diversification of its use, the chaff advance through the process of making rice husk and then compacted, molded and dried, called Rice Husk Briquette.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.2. Absorber\u003c/h2\u003e\u003cp\u003eAbsorber is a tool used for absorption processes, namely the process of fluid absorption by gas throughout the liquid as an absorbent. Absorption process is used to separate a gas component of the gas mixture using a liquid as absorbent / absorbent. Absorbent used is determined from the solubility of a gas in a liquid substance specific. The example of the absorption process is the separation of oxygen from gas mixtures by using water as the absorbent.\u003c/p\u003e\u003cp\u003eAs previously described absorber is a component of the gas separation apparatus by liquid as solvent. Its working principle is a gas mixture is fed from the bottom (bottom) absorber tower, to be contacted with the liquid from the top (top) absorber. Component gas having the largest solubility in the liquid will dissolve along with the adsorbent (liquid) and into the bottom product, while the other gas components which are not dissolved in the absorbent will be upward as the top product. Because the working principle Absorber by the solubility of gases in liquids, the operating conditions Absorber is at a low temperature and high pressure. Where in these conditions, the solubility of the gas in the liquid phase will be a maximum (remember the ideal gas law).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.3. SEM (\u003cem\u003eScanning Electron Microscope\u003c/em\u003e)\u003c/h2\u003e\u003cp\u003eSEM (\u003cem\u003eScanning Electron Microscope\u003c/em\u003e) is an electron microscope used to analyze the surface material. SEM can also be used to analyze data crystallography, so it could be developed to determine the compound or element. In principle work SEM, two saner electrons are used simultaneously. The strike specimens used to test the compound or element and the other CRT (\u003cem\u003eCathode Ray Tube\u003c/em\u003e) give it looks like a picture, so have two monitor screens, SEM uses the principles scanning, meaning the sheaf electrons directed from point to point on the object. The Movement sheaf electrical engineering from a point to the point where there are in a region object is a movement to read\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.4. Clean water\u003c/h2\u003e\u003cp\u003eClean water is the water that is used for everyday purposes and will be drinking water after it is cooked first. As the limit, water is water that meets the requirements for drinking water supply system. The requirements in question are the requirements in terms of water quality include physical, chemical, biological and radiological, so if consumption does not cause any side effects (General Provisions Permenkes 416 / Menkes/Per/IX/1990. The system must meet the clean water some major persyarakat. Persyarakat include qualitative requirements, quantitative requirements and continuity requirements. Requirements describe the quality of the quality or the quality of the raw water clean water. These requirements include physical requirements, the requirements of chemical, biological requirements and requirements of radiological. The terms are based Permenkes No.416/Menkes/Per/IX/1990 stated that the water quality requirements are as follows: Physically: Clean water should be clear, odorless and tasteless. In addition, the water temperature should be equal to the air temperature is 25 \u0026deg; C or less, and if there is a difference then the exposure limit is 25 \u0026deg; C\u0026thinsp;\u0026plusmn;\u0026thinsp;3 \u0026deg; C.\u003c/p\u003e\u003cp\u003eThe terms of Chemistry: clean water should not contain chemicals that exceed the limit quantities. Some chemical requirements include: pH, total solid, organic substances, CO2agresif, hardness, calcium (Ca), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), chloride (Cl), nitrite, fluoride (F), as well as heavy metals.\u003c/p\u003e\u003cp\u003eThe terms of bacteriological and microbiological that clean water should not contain bacteria and parasitic pathogens which affect health. A bacteriological requirement is characterized by the absence of the bacteria E. coli or faecal coli in water. The terms of Radiological were the radiological condition requires that clean water should not contain substances that produce materials containing radioactive, such as alpha rays, beta and gamma.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4. Definition of Sea Water\u003c/h2\u003e\u003cp\u003eSea is a collection of salty sea water in large numbers and wide that bathes and divides the land on the continent or island. (Dictionary of Indonesian Edison fourth-2008). So the water covers the sea is very spacious ground level and generally contain salt and salty. Usually the water flowing in the land will lead to the sea. Sea water is a mixture of 96.5% pure water and 3.5% other materials such as salts, dissolved gases, organic ingredients and no terlarut.Air particles containing sea salt, therefore it was to be salty. The average sea water is containing 3.5% salt. This means that in every 1 kg of salt content of sea water as much as 35 grams.\u003c/p\u003e\u003cp\u003eSea Water differences with Freshwater:\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eSea water has a salty taste, while clean water is not. This is because the sea water containing salt content of 3.5%, while the clean water does not contain salt.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eThe quantity of sea water on earth is much greater than the amount of clean water. 97% of the water on Earth is sea water, and only 3% in the form of clean water.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eThe sea water is denser than clean water, because the levels of salt contained in seawater add mass but does not affect the volume of the sea water.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eSea water contains dissolved ions is greater than freshwater. Ions whose existence is abundant in sea water are sodium, chloride, magnesium, sulfate, and calcium.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eThe content of chemical elements in sea water: Cloride (Cl), sodium (Na), magnesium (Mg), sulfur (S), calium (Ca), Calcium (K), bromine (Br), Carbon (C), Cr, B. While the content of chemical elements in clean water: calcium, iron, lead, magnesium, copper, sodium, chloride, and chlorine.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003cp\u003eBenefits of Sea Water Management:\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eProviding solutions to the water crisis. With the management of sea water into clean water that can be consumed by people can overcome their water crisis.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eManagement of sea water into clean water that is fit for consumption can reduce the use of underground water which is believed to be the main cause of soil degradation in several places in Indonesia.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eIn management sea water containing salt into clean water can produce a salt which can also be consumed.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eManagement of sea water into clean water can also be a profitable business opportunity for companies of national and international drinking water to be able to provide safe drinking water to its customers.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e"},{"header":"III. METHODOLOGY","content":"\u003cp\u003eRice husk is obtained in an agricultural area in Maros, South Sulawesi Province, Indonesia. Rice husks from rice milling plant, then burned to make charcoal in. After becoming charcoal, then it mixed with clay and starch to be used as briquettes. Rectangular shaped briquettes with size (20x20x8) cm, which is the absorber. Briquettes were mixed and then studied in laboratory by using ARL QUANT'X ED, XRF ANALYZER. A briquette is an absorber made of sea water into clean water. Produced water was tested by chemical and physical properties. Rice husk briquettes compound composition before and after the distillation process using XRF methods are shown in graphical form.\u003c/p\u003e"},{"header":"IV. RESULTS AND DISCUSSION","content":"\u003cp\u003eRice husk results after the combustion process into charcoal, then printed with size (20x20x8) cm to be used as absorber in the distillation process. Rice husk is used as the absorber is studied in the Laboratory of Physics at Hasanuddin University, Makassar, Indonesia. Rice husk briquettes was shown in Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\n\u003cp\u003ePhysical and chemical compositions were produced before and after the distillation process is obtained by results XRF as follows (tabel.1).\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eTable 1. Chemical composition of the XRF results Chaff\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003eThe chemical composition of rice husk briquettes after being used as absorber in the distillation process is decreased as a result of the evaporation of sea water into clean water.\u003c/p\u003e\n\u003cp\u003eThe results obtained by using XRF showed that rice husk contains Cl sizeable and Silica second. While the SEM tool, it was large enough to contain silica and oxygen to the two sequences. XRF instrument showed that the composition of Si compound after undergoing a process of distillation is used as the absorber was experiencing a decline in value of Si\u0026thinsp;=\u0026thinsp;30.48 m/m% (before the distillation process) turn into Si\u0026thinsp;=\u0026thinsp;22:27 m/m%. (after the distillation process).\u003c/p\u003e\n\u003cp\u003eThe compounds that are the rice husks from the results of SEM analysis (EDAX) was obtained as follows: Si (silica), C (carbon), N (nitrogen), O (Oxygen), Fe (Felon), Na (sodium), Mg (magnesium) and Al (aluminum),\u003c/p\u003e\n\u003cp\u003eDuring the process of distillation, rice husk charcoal briquettes that have been created as an absorbent in the distillation process sea water into clean water. Compounds in rice husk is a compound that can be used in the distillation process. This showed in Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e, where compound Nitrogen (N), Oxygen (O), Feron (Fe), magnesium (Mg) and aluminum (Al) increased Wt% and At% on this distillation process. While Silica compound (Si), nitrogen (N) and Sodium (Na) has decreased. This is due to the elements related to the boiling point and melting point of the compound owned.\u003c/p\u003e\n\u003cp\u003eResults obtained by using a SEM study showed also that the results of the graph show the value of the largest silica, and smaller Cl. The chemical composition of rice husk briquettes was shown in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e. Ions whose existence is abundant in sea water are sodium, chloride, magnesium, sulfate, and calcium. While the existing chart based on the results of the research we do, the ions before undergoing a process of absorbent has a value of 5%, while after processing absorbent made from rice husks undergone a process of decline of 4%. While the value of the element silica decreased from 8.3\u0026ndash;5.6% after the absorber by rice husk.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eChemical composition of the SEM results before undergoing a process of distillation.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eElement\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eWt%\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAt%\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\"\u003e\n \u003cp\u003eCK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.72\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFeL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNaK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMgK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.94\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSiK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMatrix\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCorrection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZAF\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\u003c/p\u003e\n\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eChemical composition of the SEM results after undergoing a process of distillation\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eElement\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eWt%\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAt%\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\"\u003e\n \u003cp\u003eCK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFeL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNaK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMgK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSiK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMatrix\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCorrection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZAF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eAs the SEM tool on the Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e shows the Wt% of Si\u0026thinsp;=\u0026thinsp;42.23% and At% Si\u0026thinsp;=\u0026thinsp;30.23% (before the distillation process) and Wt% of Si\u0026thinsp;=\u0026thinsp;35.49%, and At% of Si\u0026thinsp;=\u0026thinsp;26.04% (After the distillation process). It showed that rice husk rice husks undergone a process of decreased of Wt% = 6.74% and At% = 4.19% could be used as an absorber in seawater distillation process into clean water. And the SEM tool on the Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e shows the Wt% and At% a process of increased ie: Si (Silika), C (Carbon), and Na (Natrium).\u003c/p\u003e\n\u003cp\u003eThe results obtained in image analysis of SEM photos show the change of shape. In Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e shows that the shape of rice husk before it is used as absorbent the distillation process looks solid and not hollow. In Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e shows that the shape of rice husk is used as the absorbent after the distillation process sea water into clean water turns into a hollow.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"V. CONCLUSION","content":"\u003col style=\"list-style-type: lower-alpha;\"\u003e\n \u003cli\u003eThe results of the above studies concluded that rice husk briquettes made it a waste that can be used not only as a substitute for kerosene fuel, fertilizer, cement, but also can be used as an absorber plate in the distillation process that makes sea water into clean water.\u003c/li\u003e\n \u003cli\u003eIt is seen that the composition of rice husk before and after use in the process of distillation decreased significantly chemical composition. The compounds that are the rice husks from the results of SEM analysis (EDAX) was obtained as follows: Si (silica), C (carbon), N (nitrogen), O (Oxygen), Fe (Feron), Na (sodium), Mg (magnesium) and Al (aluminum).during the process of distillation, rice husk charcoal briquettes that have been created as an absorbent in the distillation process sea water into clean water.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Declarations","content":"\u003ch2\u003e\u003cspan type=\"SmallCaps\" class=\"SmallCaps\" name=\"Emphasis\"\u003eAcknowledgment\u003c/span\u003e\u003c/h2\u003e\u003cp\u003eThank the Directorate General of Higher Education Ministry of Education and Culture Republic Indonesia that has funded this research Sandwich (PKPI-LIKE 2014), with contract number: 2347/K9/KT.03/2014 and from Setneg No. B-15337/Kemsetneg/setmen/KTLN/KL 00/08/2014. Mostly the research works were done in the mechanical Engineering Laboratory, Politeknik University, Makassar-Indonesia.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eIsmail MS, Waliuddin AM (1996) Effect of Rice Husk Ash on High Strength Concrete. Constr Build Mater 10(1):521\u0026ndash;526\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKatsuki H, Furuta S, Watari T, Komarneni S (2005) ZSM-5 zeolite/porous carbon composite: Conventional- and Microwave-Hydrothermal Synthesis from Carbonized Rice Husk. Microporous Mesoporous Mater 86:145\u0026ndash;151\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eArmesto L, Bahillo A, Veijonen K, Cabanillas A, Otero J (2002) Combustion Behaviour of Rice Husk in a Bubbling Fluidised Bed. Biomass Bioenergy 23:171\u0026ndash;179\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMathias AJ (2000) \u003cem\u003eEnvironmental Benefits of Biomass Energy Projects\u003c/em\u003e. Paper Presented at Seminar on Environmental Impact of Developing Biomass Energy Projects for Power Generation/Cogeneration, Bangkok, Thailand, October 24\u0026ndash;26, 2000\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHouston DF (1972) Rice Bran and Polish. : Rice: Chemistry \u0026amp; Technology, 1st Ed. Amer: Assoc. Cereal Chem. Inc., St. Paul, Minnesota, USA, pp 272\u0026ndash;300\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHaryadi (2006) Teknologi Pengolahan Beras. Gadjah Mada University, Yogyakarta\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHumayatul US, dkk (2014) Effect of Chemical Composition of Rice Husk used as an Absorber Plate making Sea Water into Clean Water, C207. Hal. 80.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Universitas Fajar","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":"rice husk, adsorbents, sea water, SEM","lastPublishedDoi":"10.21203/rs.3.rs-7106210/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7106210/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eChaff is part of the grain grains (cereals) in the form of dry sheets, scaly, and can not be eaten, which protects the inside (endospermium and embryo). Husk can be found in almost all members of grasses (poaceae), although in some kinds of cultivation were also found that the variation of grain without husk (eg maize and wheat). This husk is a waste of life from the Plant. In agriculture, rice husk can be used as a mixed feed, litter, mixed in the soil as fertilizer, burned, or ashes are used as growing media, in print used as a fuel substitute for oil. In this study, rice husk fuel and charcoal briquettes will be used as the absorber. The results showed that the composition of rice husk after being submerged in sea water distillation process and experience a decline. The conclusion was that the actual rice husk as waste can be made as briquettes, fertilizer, fuel and others but also it can be used as an absorber plate in the distillation process sea water into clean water. The results obtained in which the chemical composition of all decreased for example Cl\u0026thinsp;=\u0026thinsp;36.41 mm% decreased to 23.71mm%, Si\u0026thinsp;=\u0026thinsp;30.48mm% to 22.27mm% and Fe\u0026thinsp;=\u0026thinsp;17.27mm% to 9.62mm% and so on. This was due to rice husk briquettes as an absorber plate in the container of distilled lead compounds dissolved therein participate after undergoing a process of condensation.\u003c/p\u003e","manuscriptTitle":"Analysis of Used Sem (Scanning Electron Microscope) of Rice Husk Used as Absorber Plates Sea Water Into Clean Water","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-15 03:15:33","doi":"10.21203/rs.3.rs-7106210/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":"82a43508-6e18-46f2-9ad3-45efd741aac9","owner":[],"postedDate":"July 15th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":51533619,"name":"Energy Engineering"},{"id":51533620,"name":"Environmental Engineering"}],"tags":[],"updatedAt":"2025-07-15T03:15:33+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-15 03:15:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7106210","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7106210","identity":"rs-7106210","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}