Simultaneous detection of mixed colorants adulterated in black tea based on various morphological SERS sensors
[Display omitted] •Performance of SERS sensors of different morphological form are compared.•A sensitive and universal raspberry-like AgNPs is selected as SERS sensor.•Chemometrics are combined to achieve accurate quantification of colorants.•Adulteration of black tea with mixed colorants can be dis...
Gespeichert in:
Veröffentlicht in: | Food research international 2025-01, Vol.199, p.115364, Article 115364 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | [Display omitted]
•Performance of SERS sensors of different morphological form are compared.•A sensitive and universal raspberry-like AgNPs is selected as SERS sensor.•Chemometrics are combined to achieve accurate quantification of colorants.•Adulteration of black tea with mixed colorants can be distinguished within 3 min.
Colorant adulteration is a common problem in tea safety control; thus, a rapid identification method is required. In this study, we optimized the fabrication parameters of various sensors to enhance their performance. R6G was used as a probe molecule, demonstrating that the sensnor remained stable for 120 days. Based on surface-enhanced Raman spectroscopy, the optimized sensors were used to identify and quantify mixed colorants (sunset yellow, lemon yellow, carmine, and erythrosine). Partial least squares prediction models were developed for each colorant (0.5–300 μg/mL), with R2 > 0.900 and RPD > 2.27; these indicated the accuracy of the sensors. The results also revealed a model recovery range of 95.9 % to 116 %, with RSD |
---|---|
ISSN: | 0963-9969 1873-7145 1873-7145 |
DOI: | 10.1016/j.foodres.2024.115364 |