Research progress in quality and safety detection technologies for bear bile powder
10.3760/cma.j.cn115398-20250211-00123
- VernacularTitle:熊胆粉质量安全检测技术研究进展
- Author:
Caishun HUANG
1
;
Tingting HUO
;
Zhihong LI
;
Sujuan WANG
;
Suying YUAN
;
Wenyan ZHENG
;
Changwei LAI
Author Information
1. 中山市食品药品检验所，中山 528400
- Keywords:
Fel Selenarcti et Ursi;
Quality control;
Detection and analysis;
Artificial Intelligence;
Biosynthesis;
Review
- From:
International Journal of Traditional Chinese Medicine
2025;47(11):1639-1644
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, research on the quality and safety detection of bear bile powder has mainly involved three aspects. First, the identification of active components and substitutes. Quantitative analysis of bile acids and other components is performed using HPLC, HPLC-tandem mass spectrometry, and other techniques, combined with near-infrared spectroscopy, X-ray diffraction, and polymerase chain reaction to identify adulteration. Isotope fingerprint analysis and glycosylation modification detection are used to distinguish natural products from biosynthetic substitutes, revealing significant differences in δ13C values and the proportion of specific glycosylation modifications between natural bear bile powder and synthetic products. Second, the detection of veterinary drug residues, mainly based on ultra-high performance liquid chromatography-tandem mass spectrometry, which can screen over 100 types of residues, but targeted purification strategies are needed to address interference from the bile acid matrix. Thirdly, heavy metal detection, mainly using inductively coupled plasma mass spectrometry and atomic absorption spectrometry, has revealed that contamination is associated with the breeding environment, with significant regional differences. Related detection technologies are gradually evolving from single-target analysis to multi-modal and intelligent approaches. Existing research faces issues, such as matrix effect interference, lack of international standards, and ethical controversies. It is suggested that future efforts should focus on the interdisciplinary application of detection technologies, develop rapid detection methods such as non-invasive monitoring and microfluidic chips, promote the standardization and equivalence evaluation of synthetic alternatives, and establish a full-chain quality control system integrating spatially resolved mass spectrometry imaging, artificial intelligence, and big data.
