Unveiling hidden colors: visualization-augmented deconvolutional SERS (VAD-SERS) for the detection of food colorants and commercial dyes
學年 114
學期 2
出版(發表)日期 2026-04-02
作品名稱 Unveiling hidden colors: visualization-augmented deconvolutional SERS (VAD-SERS) for the detection of food colorants and commercial dyes
作品名稱(其他語言)
著者 Yu-Chi Chen; Ching-Yu Yu; Hsiao-Ju Yu; Jun Hao Wang; Chia-Chi Huang
單位
出版者
著錄名稱、卷期、頁數 Microchemical Journal 224, p. 117923
摘要 We report an innovative and environmentally friendly technique that integrates column chromatography with surface-enhanced Raman scattering (SERS). It works in concert to meet the demand for an economical and intuitive method for color analysis and detecting illegal applications of colorants in food. Alumina powder was modified sequentially to provide dual functions. It is made lipophilic to serve as the stationary phase for reversed-phase liquid chromatography. It is also impregnated with silver nanoparticles (AgNPs) to be a native SERS sensor. This column technology is termed Visualization-Augmented Deconvolutional SERS (VAD-SERS) because it enables the separation and in situ, color-guided SERS detection of individual colorants in a composite color. The effectiveness of VAD-SERS is demonstrated in an experiment that mimics food color adulteration. It is also exhibited in the deconvolution of the color formation in commercial green and brown candies. VAD-SERS is a highly competitive analytical technique, being cost-effective, as efficient as HPLC, easy to set up and operate, and amenable to expansion to preparative scale and the analysis of colorless substances using Raman mapping.
關鍵字
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chia-Chi Huang
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版