{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:03:42Z","timestamp":1787162622668,"version":"build-2736575974"},"reference-count":32,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:00:00Z","timestamp":1782000000000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biophotonics"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Urinary vitamin C (UVC) is a routine urine test. Rapid and accurate detection is of great significance in clinical and health management. This study first uses the successive projections algorithm (SPA) to select four wavelengths highly correlated with UVC. Secondly, the m\u2010SPA\u2010SI information enhancement (IE) framework is constructed by gradually fusing the spectral index value (SIV). Finally, a random forest (RF) discriminant model is established. The results show that the m\u2010SPA\u2010SI6\u2010RF strategy achieves the best model performance, with test accuracy and sensitivity of 93.75% and 0.8182%, respectively, which are far better than those of the full\u2010spectrum RF and SPA\u2010RF models. The number of wavelengths decreased from 457 to 4, a 99.12% reduction. This study not only provides a new method for the first time to achieve efficient spectral discrimination of UVC, but also expands the application potential of spectral analysis technology for simultaneous detection of multiple components in urine.<\/jats:p>","DOI":"10.1002\/jbio.70311","type":"journal-article","created":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T23:34:21Z","timestamp":1782084861000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Discriminant Analysis of Urine Vitamin\n                    <scp>C<\/scp>\n                    by Visible Spectrum Based on Ultra\u2010Dimensionality Reduction and Information Enhancement Technology"],"prefix":"10.1002","volume":"19","author":[{"given":"Wanqiang","family":"Pan","sequence":"first","affiliation":[{"name":"School of Aeronautics, Astronautics and Intelligent Equipment Xihua University  Chengdu 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