{"paper_id":"0e33e0f5-d2f5-4e32-89ad-3944e3ec0703","body_text":"Portable Near-Infrared Spectroscopy for Non-Destructive Traceability of Storage Temperature in Vacuum- Packed Chorizo Paio dry-cured sausages | 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 Portable Near-Infrared Spectroscopy for Non-Destructive Traceability of Storage Temperature in Vacuum- Packed Chorizo Paio dry-cured sausages Alberto Ortiz, Lucía León, Miguel Elías, Sofia Trindade, David Tejerina This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9146032/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 Near-infrared spectroscopy (NIRS) represents a promising non-destructive analytical technique for quality control and traceability in meat products. In this study, the feasibility of portable NIRS technology was evaluated to discriminate the storage temperature of sliced and vacuum-packed Chorizo Paio dry-cured sausages stored under conventional refrigeration (4 ± 2°C) or room temperature (20 ± 2°C) for different storage periods (2, 4, and 6 months), without opening the package. Spectral data were acquired directly through the packaging using a MicroNIR™ 1700 portable spectrometer and processed using Partial Least Squares–Discriminant Analysis (PLS-DA). Qualitative classification models were developed for each storage time to identify samples according to storage temperature. The models showed strong discriminative performance regardless of storage duration, with coefficients of determination in cross-validation higher than 0.90. Validation using an independent data set confirmed the robustness and reliability of the models, yielding classification accuracy values above 95% and Matthews correlation coefficients ranging from 0.87 to 1.00. Relevant spectral regions associated with lipid and moisture-related absorptions were identified as key contributors to discrimination. These findings demonstrate the potential of portable NIRS as an effective, rapid, and non-invasive tool for monitoring and tracing storage conditions in dry-cured sausages, supporting its application for on-line quality assurance and authenticity control in the meat processing and distribution sectors. Non-destructive sensing Portable sensor Sausages Room temperature Vacuum-packaged Qualitative Full Text 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-9146032\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":622459960,\"identity\":\"205aecea-5b20-4646-b887-8491931b0f08\",\"order_by\":0,\"name\":\"Alberto Ortiz\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Centre of Scientific and Technological Research of Extremadura (CICYTEX-La 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In this study, the feasibility of portable NIRS technology was evaluated to discriminate the storage temperature of sliced and vacuum-packed Chorizo Paio dry-cured sausages stored under conventional refrigeration (4\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2\\u0026deg;C) or room temperature (20\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2\\u0026deg;C) for different storage periods (2, 4, and 6 months), without opening the package. Spectral data were acquired directly through the packaging using a MicroNIR\\u0026trade; 1700 portable spectrometer and processed using Partial Least Squares\\u0026ndash;Discriminant Analysis (PLS-DA). Qualitative classification models were developed for each storage time to identify samples according to storage temperature. The models showed strong discriminative performance regardless of storage duration, with coefficients of determination in cross-validation higher than 0.90. Validation using an independent data set confirmed the robustness and reliability of the models, yielding classification accuracy values above 95% and Matthews correlation coefficients ranging from 0.87 to 1.00. Relevant spectral regions associated with lipid and moisture-related absorptions were identified as key contributors to discrimination. These findings demonstrate the potential of portable NIRS as an effective, rapid, and non-invasive tool for monitoring and tracing storage conditions in dry-cured sausages, supporting its application for on-line quality assurance and authenticity control in the meat processing and distribution sectors.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Portable Near-Infrared Spectroscopy for Non-Destructive Traceability of Storage Temperature in Vacuum- Packed Chorizo Paio dry-cured sausages\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2026-04-15 20:40:11\",\"doi\":\"10.21203/rs.3.rs-9146032/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"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\":\"a56a4d25-f56c-441a-8e93-b7e98afed62d\",\"owner\":[],\"postedDate\":\"April 15th, 2026\",\"published\":true,\"recentEditorialEvents\":[{\"type\":\"decision\",\"content\":\"Rejected\",\"date\":\"2026-05-08T11:19:01+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2026-05-08T11:25:53+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2026-04-15 20:40:11\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-9146032\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-9146032\",\"identity\":\"rs-9146032\",\"version\":[\"v1\"]},\"buildId\":\"XKTyCvWXoU3ODBz1xrDgd\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}