{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T06:33:29Z","timestamp":1793082809436,"version":"4.5.0"},"reference-count":40,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["001"],"award-info":[{"award-number":["001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["304966\/2023\u20101"],"award-info":[{"award-number":["304966\/2023\u20101"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ift.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Food Science"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      Efficient quality assessment of parboiled rice is important for industrial processing, but conventional analytical procedures are often time\u2010consuming, reagent\u2010intensive, and destructive. This study evaluated VNIR\u2013SWIR spectroscopy combined with chemometric modeling for the rapid prediction of moisture, starch, protein, lipids, fiber, and ash in parboiled rice representing commercial types from Type 1 to Type 5 and Off\u2010Type. Partial least squares regression models were developed using six spectral preprocessing strategies and evaluated through internal cross\u2010validation and a held\u2010out test set. Model performance varied substantially among the physicochemical attributes. Starch showed the best test\u2010set performance using baseline offset preprocessing (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.740; RMSEP = 0.902 percentage points), while moisture showed promising results using MSC, baseline offset, or untreated spectra (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.627; RMSEP &lt; 0.37 percentage points). Ash showed moderate performance with SNV combined with baseline correction and Savitzky\u2013Golay smoothing (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.492; RMSEP = 0.045 percentage points). In contrast, protein and fiber showed limited predictability, with maximum\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      values of 0.112 and 0.248, respectively. SNV and MSC generally improved models affected by scattering, whereas baseline offset was most effective for starch. Overall, VNIR\u2013SWIR spectroscopy showed potential for rapid screening, particularly for starch and moisture, although broader datasets and validation using independent production batches are required before routine industrial implementation.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1750-3841.71501","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T06:06:14Z","timestamp":1790834774000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rapid Physicochemical Screening of Parboiled Rice Using VNIR\u2013SWIR Spectroscopy and Chemometrics"],"prefix":"10.1111","volume":"91","author":[{"given":"Nairiane dos Santos","family":"Bilhalva","sequence":"first","affiliation":[{"name":"Laboratory of Postharvest (LAPOS), Campus Cachoeira do Sul Federal University of Santa Maria  Cachoeira do Sul Rio Grande do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marisa Menezes","family":"Leal","sequence":"additional","affiliation":[{"name":"Laboratory of Postharvest (LAPOS), Campus Cachoeira do Sul Federal University of Santa Maria  Cachoeira do Sul Rio Grande do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosana Santos","family":"de Moraes","sequence":"additional","affiliation":[{"name":"Laboratory of Postharvest (LAPOS), Campus Cachoeira do Sul Federal University of Santa Maria  Cachoeira do Sul Rio Grande do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dthenifer Cordeiro","family":"Santana","sequence":"additional","affiliation":[{"name":"Campus de Chapad\u00e3o do Sul Federal University of Mato Grosso do Sul  Chapad\u00e3o do Sul Mato Grosso do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Larissa Pereira Ribeiro","family":"Teodoro","sequence":"additional","affiliation":[{"name":"Campus de Chapad\u00e3o do Sul Federal University of Mato Grosso do Sul  Chapad\u00e3o do Sul Mato Grosso do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulo Eduardo","family":"Teodoro","sequence":"additional","affiliation":[{"name":"Campus de Chapad\u00e3o do Sul Federal University of Mato Grosso do Sul  Chapad\u00e3o do Sul Mato Grosso do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1312-1798","authenticated-orcid":false,"given":"Paulo Carteri","family":"Coradi","sequence":"additional","affiliation":[{"name":"Laboratory of Postharvest (LAPOS), Campus Cachoeira do Sul Federal University of Santa Maria  Cachoeira do Sul Rio Grande do Sul Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.24018\/ejfood.2024.6.2.790"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.71454\/PA.004.02.0080"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11738\u2010023\u201003599\u20104"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.31545\/intagr\/216408"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcs.2019.102795"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcs.2023.103763"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsci.2025.08.007"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1590\/1809\u20104430\u2010Eng.Agric.v45nespe120240050\/2025"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodres.2021.110878"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/foods15010062"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/cche.10476"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.carbpol.2022.119624"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2018.01.027"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.201400051"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/jsfa.9824"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/molecules24244568"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1088\/1755\u20101315\/922\/1\/012020"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2021.147163"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2022.110945"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1039\/D3TC02564K"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijbiomac.2020.11.046"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/1750\u20103841.15314"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120583"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110609"},{"key":"e_1_2_10_26_1","unstructured":"Ministry 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