Literature DB >> 26632529

Differentiation between two "fang ji" herbal medicines, Stephania tetrandra and the nephrotoxic Aristolochia fangchi, using hyperspectral imaging.

Sidonie Tankeu1, Ilze Vermaak2, Weiyang Chen1, Maxleene Sandasi1, Alvaro Viljoen3.   

Abstract

Stephania tetrandra ("hang fang ji") and Aristolochia fangchi ("guang fang ji") are two different plant species used in Traditional Chinese Medicine (TCM). Both are commonly referred to as "fang ji" and S. tetrandra is mistakenly substituted and adulterated with the nephrotoxic A. fangchi as they have several morphological similarities. A. fangchi contains aristolochic acid, a carcinogen that causes urothelial carcinoma as well as aristolochic acid nephropathy (AAN). In Belgium, 128 cases of AAN was reported while in China, a further 116 cases with end-stage renal disease were noted. Toxicity issues associated with species substitution and adulteration necessitate the development of reliable methods for the quality assessment of herbal medicines. Hyperspectral imaging in combination with partial least squares discriminant analysis (PLS-DA) is suggested as an effective method to distinguish between S. tetrandra and A. fangchi root powder. Hyperspectral images were obtained in the wavelength region of 920-2514nm. Reduction of the dimensionality of the data was done by selecting the discrimination information range (964-1774nm). A discrimination model with a coefficient of determination (R(2)) of 0.9 and a root mean square error of prediction (RMSEP) of 0.23 was created. The constructed model successfully identified A. fangchi and S. tetrandra samples inserted into the model as an external validation set. In addition, adulteration detection was investigated by preparing incremental adulteration mixtures of S. tetrandra with A. fangchi (10-90%). Hyperspectral imaging showed the ability to accurately predict adulteration as low as 10%. It is evident that hyperspectral imaging has tremendous potential in the development of visual quality control methods which may prevent cases of aristolochic acid nephropathy in the future.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aristolochia fangchi; Aristolochiaceae; Chemometrics; Hyperspectral imaging; Menispermaceae; Partial least squares discriminant analysis; Quality control; Stephania tetrandra; Toxicity

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Year:  2015        PMID: 26632529     DOI: 10.1016/j.phytochem.2015.11.008

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  4 in total

1.  Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology.

Authors:  Zhengyan Xia; Chu Zhang; Haiyong Weng; Pengcheng Nie; Yong He
Journal:  Int J Anal Chem       Date:  2017-08-27       Impact factor: 1.885

2.  Compassionate Use of Yuanjiang Decoction, a Traditional Chinese Medicinal Prescription, for Symptomatic Bradyarrhythmia.

Authors:  Zhang Wan-Tong; Zhu Bao-Chen; Liu Zhao; Wang Xu-Jie; Gao Rui; Xiao Ning; Tang Wei; Wu Yu-Fei; Phoebe Miles; Weng Wei-Liang; Lin Hao-Xiang; Li Qiu-Yan
Journal:  Front Pharmacol       Date:  2022-04-11       Impact factor: 5.810

Review 3.  A critical review: traditional uses, phytochemistry, pharmacology and toxicology of Stephania tetrandra S. Moore (Fen Fang Ji).

Authors:  Yueping Jiang; Min Liu; Haitao Liu; Shao Liu
Journal:  Phytochem Rev       Date:  2020-04-24       Impact factor: 5.374

4.  The biology of medicinal resource substitution in Salvia.

Authors:  Ning Cui; Tiezhu Chen; Baosheng Liao; Jiang Xu; Xiwen Li
Journal:  Chin Med       Date:  2021-12-23       Impact factor: 5.455

  4 in total

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