{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:48:55Z","timestamp":1786978135424,"version":"build-2736575974"},"reference-count":42,"publisher":"Wiley","issue":"13","license":[{"start":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T00:00:00Z","timestamp":1749600000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["scijournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Sci Food Agric"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>BACKGROUND<\/jats:title>\n                    <jats:p>\n                      Sulfur dioxide (SO\n                      <jats:sub>2<\/jats:sub>\n                      ) is commonly used as a preservative and antioxidant in food processing; however, its residues can pose significant health risks. The accurate and rapid detection of SO\n                      <jats:sub>2<\/jats:sub>\n                      residues in food is crucial for ensuring food safety and protecting consumer health. In this study, we have developed a novel multicolor fluorescent sensor system that combines\n                      <jats:italic>N<\/jats:italic>\n                      \u2010acetyl\u2010\n                      <jats:sc>l<\/jats:sc>\n                      \u2010cysteine\u2010modified CdTe quantum dots with a trihexyl(tetradecyl)phosphonium hydroxyphenylbenzoxazole ionic liquid.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      The developed dual\u2010response sensor exhibits a remarkable fluorescent color transition, shifting from blue to purple, pink and finally yellow, in response to SO\n                      <jats:sub>2<\/jats:sub>\n                      concentrations ranging from 10 to 800\u2009mg\u2009kg\n                      <jats:sup>\u22121<\/jats:sup>\n                      in acid\u2010distilled samples. This color transition enables the semiquantitative visual detection of SO\n                      <jats:sub>2<\/jats:sub>\n                      residues, providing a rapid and intuitive assessment method. Furthermore, a smartphone application integrated with advanced machine learning algorithms has been developed to facilitate the precise quantification of SO\n                      <jats:sub>2<\/jats:sub>\n                      through the red\u2013green\u2013blue analysis of fluorescence images, achieving a limit of detection of 9.22\u2009mg\u2009kg\n                      <jats:sup>\u22121<\/jats:sup>\n                      . The sensor system exhibited high accuracy with recovery rates ranging from 94.86% to 109.28% for complex food matrices.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>\n                      The proposed multicolor fluorescent sensor represents a significant advancement in the intelligence, simplicity and efficiency of SO\n                      <jats:sub>2<\/jats:sub>\n                      residue detection in food samples. This method also offers a valuable reference for improving food safety and quality assurance. \u00a9 2025 Society of Chemical Industry.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jsfa.14418","type":"journal-article","created":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T11:06:15Z","timestamp":1749726375000},"page":"7033-7042","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multicolor fluorescent sensors based on a mixture of\n                    <scp>CdTe<\/scp>\n                    quantum dots and ionic liquid for the visual detection of sulfur dioxide residues in food"],"prefix":"10.1002","volume":"105","author":[{"given":"Xiangyu","family":"Zhao","sequence":"first","affiliation":[{"name":"Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South\u2010Central Minzu University  Wuhan 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