Jiujiang Wang, Dawu Li, Jianghua Zhang, Zijian Gao, Jinke Han
{"title":"Curcumin/Kaolin Composite for Advanced Latent Fingerprint Imaging with Fluorescence Quantification","authors":"Jiujiang Wang, Dawu Li, Jianghua Zhang, Zijian Gao, Jinke Han","doi":"10.1039/d4an01395f","DOIUrl":null,"url":null,"abstract":"Latent fingerprints (LFPs) are invisible impressions that need to be developed before being used for criminal investigation; however, existing fingerprint visualization techniques face challenges in complex preparation and poor contrast. To advance practical fingerprint detection, green-emissive micron-sized curcumin/kaolin composites were synthesized via a facile and cost-effective one-step physical cross-linking method, which exhibit unprecedented performance in developing diversified marks, including LFPs, knuckle prints, palm prints, and footprints, with clear three-level details on various substrates. Notably, the powders successfully developed LFPs aged for 30 days and even up to 100 days, meeting the stringent requirements for comprehensive forensic application. Afterward, a novel method, termed Fingerprint Fluorescence Intensity Ratio (FFIR), is developed to quantify the contrast between fingerprint signals and background noise, and to compare the efficacy of full-color developing agents. Compared with existing grayscale conversion strategy, for the first time the proposed FFIR method achieves tunable multi-color fingerprint image enhancement, which helps to eliminate background fluorescence interference and improve visual perception. The feasibility of FFIR and its sensitivity in tracking image capture parameters have been demonstrated by the established mathematical model. Hence, the newly synthesized modified composites and the mathematical model-validated method demonstrate profound practical significance in comprehensive fingerprint imaging.","PeriodicalId":63,"journal":{"name":"Analyst","volume":"22 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analyst","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d4an01395f","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Latent fingerprints (LFPs) are invisible impressions that need to be developed before being used for criminal investigation; however, existing fingerprint visualization techniques face challenges in complex preparation and poor contrast. To advance practical fingerprint detection, green-emissive micron-sized curcumin/kaolin composites were synthesized via a facile and cost-effective one-step physical cross-linking method, which exhibit unprecedented performance in developing diversified marks, including LFPs, knuckle prints, palm prints, and footprints, with clear three-level details on various substrates. Notably, the powders successfully developed LFPs aged for 30 days and even up to 100 days, meeting the stringent requirements for comprehensive forensic application. Afterward, a novel method, termed Fingerprint Fluorescence Intensity Ratio (FFIR), is developed to quantify the contrast between fingerprint signals and background noise, and to compare the efficacy of full-color developing agents. Compared with existing grayscale conversion strategy, for the first time the proposed FFIR method achieves tunable multi-color fingerprint image enhancement, which helps to eliminate background fluorescence interference and improve visual perception. The feasibility of FFIR and its sensitivity in tracking image capture parameters have been demonstrated by the established mathematical model. Hence, the newly synthesized modified composites and the mathematical model-validated method demonstrate profound practical significance in comprehensive fingerprint imaging.