Four-channel fluorescent sensor array based on various functionalized CdTe quantum dots for the discrimination of Chinese baijiu.

Four-channel fluorescent sensor array based on various functionalized CdTe quantum dots for the discrimination of Chinese baijiu.
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DOI:
10.1016/j.saa.2021.119513
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发表时间:
2021-02
期刊:
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
影响因子:
--
通讯作者:
Hupiao Dai;Junjie Jia;Yao Fan;Hengye Chen;Songtao Wang;Cai-hong Shen;Ailan Li;Lingmin Lu;Chunsong Zhou;Haiyan Fu;Yuanbin She
Hupiao Dai;Junjie Jia;Yao Fan;Hengye Chen;Songtao Wang;Cai-hong Shen;Ailan Li;Lingmin Lu;Chunsong Zhou;Haiyan Fu;Yuanbin She
中科院分区:
其他
文献类型:
--
作者:
Hupiao Dai;Junjie Jia;Yao Fan;Hengye Chen;Songtao Wang;Cai-hong Shen;Ailan Li;Lingmin Lu;Chunsong Zhou;Haiyan Fu;Yuanbin She

文献摘要

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白酒作为中国传统文化的特殊载体,其种类和成分十分丰富。其质量分析和控制一直是重要而复杂的问题,迫切需要可靠的评价方法。在这项研究中,使用四种不同的改性 CdTe 量子点(QD)来表征它们对各种白酒的传感性能。然后通过差分荧光信号的互补特性构建传感器阵列。为了实现对不同白酒类型的准确、快速评价,引入线性判别分析(LDA)来提取和处理光谱信息。该芯片能够区分不同香型、品牌、品质、储藏年限的商品白酒样品,识别率达100%。此外,根据热图,白酒中的有机酸是通过量子点和酸之间的电子转移(氢键)和共振能量转移引起荧光变化的主要成分。此外,利用偏最小二乘回归(PLSR)模型,对5种代表性有机酸进行了高选择性的精确定量,定量范围为10 μmol/L-80 μmol/L。这种量子点荧光传感策略提供了一种准确、简单、快速的白酒传感方法,为白酒的在线监测提供了潜在的用途。
As a special carrier of traditional Chinese culture, baijiu is rich in terms of types and ingredients. Its quality analysis and control are always important and complex issues that urgently need reliable evaluation methods. In this study, four different modified CdTe quantum dots (QDs) were used to characterize their sensing performance to various baijiu. A sensor array was then constructed through the complementary properties of differential fluorescence signals. To achieve an accurate and rapid evaluation of different baijiu types, a linear discriminant analysis (LDA) was introduced to extract and process spectral information. And the array was able to distinguish commercial baijiu samples with different aroma-types, brands, qualities and storage years with a recognition rate of 100%. In addition, according to the heat map, the organic acids in baijiu were shown to be the main components causing the fluorescence change through electron transfer (hydrogen bond) and resonance energy transfer among QDs and acids. Furthermore, using the partial least squares regression (PLSR) model, five representative organic acids were accurately quantified with a quantitative range of 10 μmol/L-80 μmol/L with a high selectivity. This QDs fluorescence sensing strategy provides an accurate, simple, and fast baijiu sensing method, which provides a potential use for on-line baijiu monitoring.