Characterization of Bixin by UV-Visible Spectroscopy and HPLC, and Its Application as Latent Fingermark Developer

Fingerprints are essential for human identification and are valuable tools in criminal investigations. The pursuit of new materials for digital printing is expanding, with increasing interest in natural compounds such as bixin, sourced from annatto seeds. Despite its traditional use as a natural dye...

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Published inAnalytica Vol. 5; no. 1; pp. 107 - 118
Main Authors Bueno, Danielle Tapia, Leitzke, Amanda Fonseca, Crizel, Rosane Lopes, Jansen-Alves, Cristina, Bertizzolo, Emanuel Gomes, da Silva, Juliana Porciuncula, Sejanes, Gabrielly Quartieri, Mariotti, Kristiane de Cássia, de Pereira, Claudio Martin Pereira
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2024
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Summary:Fingerprints are essential for human identification and are valuable tools in criminal investigations. The pursuit of new materials for digital printing is expanding, with increasing interest in natural compounds such as bixin, sourced from annatto seeds. Despite its traditional use as a natural dye with medicinal properties, the potential of bixin in papilloscopy remains largely untapped. In this study, we meticulously extracted bixin from annatto seeds and meticulously developed composites incorporating zinc carbonate (bixin/ZnCO3) and kaolinite (bixin/kaolinite). UV-visible spectroscopy was used for characterization, and the extracted bixin showed absorption peaks at 429, 453, and 481 nm, which were very similar to standard peaks at 429, 457, and 487 nm. The two samples also had the same retention times (7.07 min) according to further liquid chromatography analysis. Sweat pores were easier to detect thanks to the effectiveness of the bixin/ZnCO3 and bixin/kaolinite composites in creating high contrast sebaceous and natural latent fingerprints. These results highlight the composites’ potential as novel and fascinating instruments for papilloscopy applications, which might also improve forensic investigations.
ISSN:2673-4532
2673-4532
DOI:10.3390/analytica5010007