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比色法、内滤光效应诱导荧光法和基于智能手机的数字图像分析相结合:用于食品染料多模式可视化的通用可靠策略。

Combination of colorimetry, inner filter effect-induced fluorometry and smartphone‑based digital image analysis: A versatile and reliable strategy for multi-mode visualization of food dyes.

机构信息

School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China; Anhui Engineering Technology Research Center of Biochemical Pharmaceutical, Bengbu Medical College, Bengbu 233030, China.

School of Chemistry and Chemical Engineering, Anhui University of Technology, Maanshan 243032, China.

出版信息

J Hazard Mater. 2023 Mar 5;445:130563. doi: 10.1016/j.jhazmat.2022.130563. Epub 2022 Dec 13.

DOI:10.1016/j.jhazmat.2022.130563
PMID:37055971
Abstract

Herein, a multi-mode visualization platform was initiated for in-situ detection of food dyes (FDs) by combining colorimetry, fluorometry and smartphone‑based digital image analysis, in which water-dispersible quantum dots (QDs) were served as nanoprobes. Colorimetry was achieved by color comparison, while both fluorometry and fluorescence quantification were performed through inner filter effect (IFE)-induced fluorescence quenching, then color information (RGB & gray-scale values) of colorimetry and fluorometry was picked by a smartphone to reconstruct digitized alignments. Since IFE mechanism was concentration-dependent but did not rely on the interaction between fluorophore and quencher, the whole process of fluorescence response could be finished within 10 s, and both color gradients and fluorescence changes showed fine mappings to FDs concentrations in the range of 1.0 × 10∼0.035 mg/mL for brilliant blue, and 1.0 × 10∼0.1 mg/mL for Allura red and sunset yellow. As a proof-of-concept, the in-situ multi-mode visualization of these FDs in real beverages was experimentally proved to be highly feasible and reliable as compared with instrumental techniques like UV-vis/fluorescence spectrometry, along with HPLC. Finally, this strategy was extended to the multi-mode visualization of non-food dyes in three simulated wastewater samples with high credibility by contrast with the true additive amounts of model dyes.

摘要

本文结合比色法、荧光法和基于智能手机的数字图像分析,启动了一种多模式可视化平台,用于原位检测食品染料(FDs),其中水散量子点(QDs)用作纳米探针。比色法通过颜色比较来实现,而荧光法和荧光定量分析则通过内滤效应(IFE)诱导的荧光猝灭来进行,然后通过智能手机提取比色法和荧光法的颜色信息(RGB 和灰度值),以重建数字化排列。由于 IFE 机制是浓度依赖性的,而不依赖于荧光团和猝灭剂之间的相互作用,因此整个荧光响应过程可以在 10 秒内完成,并且颜色梯度和荧光变化都可以很好地映射到 FDs 浓度范围为 1.0×10∼0.035 mg/mL 的亮蓝和 1.0×10∼0.1 mg/mL 的诱惑红和日落黄。作为概念验证,与紫外/荧光光谱仪等仪器技术以及 HPLC 相比,该方法在实际饮料中对这些 FDs 的原位多模式可视化证明是高度可行和可靠的。最后,该策略通过与模型染料的真实添加量相比,在三个模拟废水中对非食品染料进行了高度可信的多模式可视化。

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