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利用荧光探针结合化学计量学快速鉴定黄芪的产地。

Rapid identification of Radix Astragali origin by using fluorescence probe combined with chemometrics.

机构信息

School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China.

School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2024 May 5;312:124080. doi: 10.1016/j.saa.2024.124080. Epub 2024 Feb 24.

Abstract

Fluorescent probes for metal ion recognition can be divided into selective probes, weakly selective probes, and non-selective probes roughly. Weakly selective probes are not often used for quantitative analysis of metal ions due to their overlapping spectra resulting from simultaneous interactions with multiple metal ions. Conversely, the different metal ions contained in herbal medicine extracts from different geographical origins will produce corresponding fluorescence fingerprint profiles after interaction with weakly selective fluorescence probes. The performance can be used in the study of origin tracing of food or Chinese herbal medicine. Weakly selective fluorescent probes of benzimidazole derivatives have been synthesized and attempted to be used in the origin tracing of Radix Astragali in this work. Radix Astragali from different origins will produce different fluorescence fingerprint spectra due to the difference of metal ions and content in combination with the probe. Excitation-emission matrix (EEM) fluorescence spectroscopy in conjunction with N-way partial least squares discriminant analysis (N-PLS-DA), and unfolded partial least squares discriminant analysis (U-PLS-DA) were used to identify the origin of 150 Radix Astragali samples from five geographical origins. The prediction results showed that the correct recognition rates of the U-PLS-DA model and N-PLS-DA model are 95.92% and 93.88%, respectively. In comparison, the results of U-PLS-DA are slightly better than those of N-PLS-DA. These findings indicate that EEM fluorescence spectroscopy based on weakly selective fluorescent probes combined with multi-way chemometrics provides a good idea for the origin tracing of traditional Chinese medicine.

摘要

用于金属离子识别的荧光探针大致可以分为选择性探针、弱选择性探针和非选择性探针。由于弱选择性探针与多种金属离子同时相互作用会导致光谱重叠,因此通常不用于金属离子的定量分析。相反,来自不同地理来源的草药提取物中的不同金属离子在与弱选择性荧光探针相互作用后会产生相应的荧光指纹图谱。该性能可用于食品或中草药产地溯源的研究。本工作中合成了苯并咪唑衍生物的弱选择性荧光探针,并尝试将其用于黄芪的产地溯源。由于与探针结合的金属离子和含量不同,来自不同产地的黄芪会产生不同的荧光指纹图谱。本研究采用激发-发射矩阵(EEM)荧光光谱结合 N 路偏最小二乘判别分析(N-PLS-DA)和无折叠偏最小二乘判别分析(U-PLS-DA)对来自五个地理来源的 150 个黄芪样品进行了产地鉴别。预测结果表明,U-PLS-DA 模型和 N-PLS-DA 模型的正确识别率分别为 95.92%和 93.88%。相比之下,U-PLS-DA 的结果略优于 N-PLS-DA。这些发现表明,基于弱选择性荧光探针的 EEM 荧光光谱结合多变量化学计量学为中药产地溯源提供了一个很好的思路。

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