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[Paradigm shift in digital-intelligent quality control of Chinese herbal decoction pieces: a technology-driven path
Qiang Guo1, Ming-Xuan Li1, Hui Dou2
1School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.
Abstract:
Chinese herbal decoction pieces are essential carriers of TCM in clinical practice, and their quality control plays a pivotal role in ensuring therapeutic efficacy and medication safety. However, the current quality evaluation system still relies heavily on empirical assessment and basic physicochemical indicators, resulting in challenges such as inconsistent standards, outdated methodologies, and limited traceability. With the rapid advancement of digital and intelligent technologies, a new paradigm of digital-intelligent quality control, characterized by high-throughput detection, artificial intelligence(AI)-assisted analysis, and full-process modeling, is gradually maturing. This paper systematically reviewed the current state of research and key bottlenecks in the digital-intelligent transformation of quality control for Chinese herbal decoction pieces. Focusing on quality identification technologies, AI-driven analysis, multivariate modeling, and database development, it explored the core components of the technical framework. Typical application scenarios such as geo-authenticity discrimination, adulteration detection, and processing monitoring were also discussed in depth. The quality control of Chinese herbal decoction pieces is undergoing a profound shift from experience-based to data-driven approaches. Digital-intelligent quality control is becoming a key driver for overcoming industrial bottlenecks and promoting high-quality development in the herbal decoction piece industry. The paper proposed future directions in detection technology innovation, data ecosystem construction, and cross-sector integration, aiming to provide theoretical support and technical pathways for the modernization of the quality evaluation system for Chinese herbal decoction pieces.
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