Array-Based Rapid Identification of Herbal Medicines via a Bifunctional Color-BiLink Strategy

Ensuring the authenticity and quality of herbal medicines, particularly licorice, a pivotal component in nearly 60% of traditional Chinese medicine formulations, remains a significant global challenge. However, conventional approaches lack the capacity for direct, rapid, and high-throughput differentiation of licorice mixtures and structurally analogous ingredients. Herein, we present a multisite-binding Color-BiLink (<b>CB</b>) strategy for constructing the dual-mode responsive sensor array, formed by a quantifiable-recognized bifunctional <i>m</i>-nitrophenylboronic acid-modified PEI (<b>PEI-QR</b>) and four <b>CB</b> dyes through dynamic, reversible covalent, and electrostatic interactions. The 6-element array enabled the direct (without pretreatment), rapid (<30 s), simultaneous identification 15 licorice samples─across diverse sources, cultivation methods, and manufacturing processes─with 100% accuracy, concurrently detecting six key ingredients. Notably, coupling the array with high-performance liquid chromatography confers enhanced discriminatory power for complex sample profiling and facilitates reliable detection across varying batches, concentrations, and quality grades. Finally, the array achieved an AUROC of 0.984 in distinguishing pass/fail samples, underscoring its robust analytical capability for large-scale rapid identification of herbal medicine quality and demonstrating its significant application potential in clinical and industrial settings.

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Publication Details

Journal
Analytical Chemistry
Published
2025-08-12
DOI
https://doi.org/10.1021/acs.analchem.5c03429
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
0.00

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Array-Based Rapid Identification of Herbal Medicines via a Bifunctional Color-BiLink Strategy

Xiaoyan Zhao, Wenhao Tang, Chao Xu, Chao Guo et al.
Analytical Chemistry
Analytical Chemistry and Chromatography
article

Array-Based Rapid Identification of Herbal Medicines via a Bifunctional Color-BiLink Strategy

Xiaoyan Zhao, Wenhao Tang, Chao Xu, Chao Guo, Yong Li, Yan Zhao, Lina Yu, Hui Huang, Jinsong Han, Xiwei Jia, Huihai Li
article en

Abstract

Ensuring the authenticity and quality of herbal medicines, particularly licorice, a pivotal component in nearly 60% of traditional Chinese medicine formulations, remains a significant global challenge. However, conventional approaches lack the capacity for direct, rapid, and high-throughput differentiation of licorice mixtures and structurally analogous ingredients. Herein, we present a multisite-binding Color-BiLink (<b>CB</b>) strategy for constructing the dual-mode responsive sensor array, formed by a quantifiable-recognized bifunctional <i>m</i>-nitrophenylboronic acid-modified PEI (<b>PEI-QR</b>) and four <b>CB</b> dyes through dynamic, reversible covalent, and electrostatic interactions. The 6-element array enabled the direct (without pretreatment), rapid (<30 s), simultaneous identification 15 licorice samples─across diverse sources, cultivation methods, and manufacturing processes─with 100% accuracy, concurrently detecting six key ingredients. Notably, coupling the array with high-performance liquid chromatography confers enhanced discriminatory power for complex sample profiling and facilitates reliable detection across varying batches, concentrations, and quality grades. Finally, the array achieved an AUROC of 0.984 in distinguishing pass/fail samples, underscoring its robust analytical capability for large-scale rapid identification of herbal medicine quality and demonstrating its significant application potential in clinical and industrial settings.

Analytical ChemistryVol. 97(33)
China Pharmaceutical University (CN), Ningxia University (CN), Ningbo Polytechnic (CN)
Science and Technology Foundation of Shenzhen City, National Natural Science Foundation of China, Natural Science Foundation of Ningxia Province, State Key Laboratory of Natural Medicines, Outstanding Youth Foundation of Jiangsu Province of China, Fundamental Research Funds for the Central Universities
Reduced inequalities
Openalex Percentile: Top 82%
Analytical Chemistry and Chromatography
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