Authentication of Puerariae Lobatae Radix and Its Adulterant Puerariae Lobatae Caulis via Digital ID Technology

Puerariae Lobatae Radix (PLR) is a commonly used herbal medicine in traditional Chinese medicine, whereas Puerariae Lobatae Caulis (PLC), its aerial part, is frequently utilized as an adulterant due to similar morphological features. Conventional identification methods and pharmacopoeial criteria fail to effectively distinguish these two homologous herbs, creating a demand for a precise identification method. Therefore, a Digital ID method was established for their identification. UPLC-QE-Orbitrap-MS coupled with Progenesis QI software was applied to analyze multi-batch samples of PLR and PLC. Common ion information was extracted, and a differential ion matrix was constructed after eliminating blank ions and cross-shared components. High-intensity characteristic ions were defined as exclusive Digital ID for authenticity identification. The Matching Confidence (MC) values of both herbs matching their own Digital IDs were >85%, while cross-matching MC values were <4%. Unlike subjective macroscopic authentication, compendial TLC and single-marker quantification that fail to discriminate the two materials, and spectroscopic methods incompatible with powdered samples, this digital ID framework enables automated objective authentication via quantitative Matching Confidence without manual spectral comparison. This technique achieves accurate and efficient digital identification of the two herbs, facilitating the quality control of PLR and offering a new strategy for the quality assessment of traditional Chinese medicine (TCM).

Authors

Institutions

Publication Details

Journal
Foods
Published
2026-07-02
DOI
https://doi.org/10.3390/foods15132344
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Authentication of Puerariae Lobatae Radix and Its Adulterant Puerariae Lobatae Caulis via Digital ID Technology

Haonan Wu, J K Chen, Zhixin Jia, Huijun Li et al.
Foods
Traditional Chinese Medicine Analysis
article

Authentication of Puerariae Lobatae Radix and Its Adulterant Puerariae Lobatae Caulis via Digital ID Technology

Haonan Wu, J K Chen, Zhixin Jia, Huijun Li, Tingjun Ma, Xianlong Cheng, Yongqiang Lin, Xianrui Wang
article en

Abstract

Puerariae Lobatae Radix (PLR) is a commonly used herbal medicine in traditional Chinese medicine, whereas Puerariae Lobatae Caulis (PLC), its aerial part, is frequently utilized as an adulterant due to similar morphological features. Conventional identification methods and pharmacopoeial criteria fail to effectively distinguish these two homologous herbs, creating a demand for a precise identification method. Therefore, a Digital ID method was established for their identification. UPLC-QE-Orbitrap-MS coupled with Progenesis QI software was applied to analyze multi-batch samples of PLR and PLC. Common ion information was extracted, and a differential ion matrix was constructed after eliminating blank ions and cross-shared components. High-intensity characteristic ions were defined as exclusive Digital ID for authenticity identification. The Matching Confidence (MC) values of both herbs matching their own Digital IDs were >85%, while cross-matching MC values were <4%. Unlike subjective macroscopic authentication, compendial TLC and single-marker quantification that fail to discriminate the two materials, and spectroscopic methods incompatible with powdered samples, this digital ID framework enables automated objective authentication via quantitative Matching Confidence without manual spectral comparison. This technique achieves accurate and efficient digital identification of the two herbs, facilitating the quality control of PLR and offering a new strategy for the quality assessment of traditional Chinese medicine (TCM).

FoodsVol. 15(13)
China Pharmaceutical University (CN), China Banking Regulatory Commission (CN), National Institutes for Food and Drug Control (CN)
National Key Research and Development Program of China
Reduced inequalities
Openalex Percentile: Top 5%
Traditional Chinese Medicine Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.