Point-of-need and portable sensing strategies for quality and safety assessment of Traditional Chinese Medicine products: A critical analytical review.
Clinical Snapshot
PICO Framework
| P — Population | Traditional Chinese Medicine (TCM) products requiring quality control and safety assessment |
| I — Intervention | Point-of-need and portable sensing technologies including nanomaterial-based sensors, molecular recognition elements, AI/ML-enhanced spectral analysis |
| C — Comparator | Traditional laboratory-based analytical methods and separation/detection technologies |
| O — Outcomes | Quality control parameters, safety assessment metrics, analytical workflow efficiency, regulatory compliance, real-world deployment feasibility |
Bottom Line
This critical review evaluates emerging portable sensing technologies for Traditional Chinese Medicine quality control, highlighting the integration of nanomaterials, molecular recognition elements, and machine learning for point-of-care analysis. While the technology shows promise for addressing complex TCM matrices, significant gaps remain between laboratory prototypes and clinical deployment. Key challenges include matrix interference, lack of standardized validation protocols, and device reliability in uncontrolled environments. The review identifies future directions toward self-validating, IoT-integrated systems but does not provide sufficient evidence for immediate practice implementation. For Australian healthcare, this technology could eventually support TGA complementary medicine regulation and quality assurance of PBS-listed TCM products, though current evidence suggests the field remains in early development phases requiring further validation studies.
Key Findings
P Value: Not applicable - narrative review
Effect Size: Not applicable - qualitative review
Primary Outcome: Critical evaluation of portable sensing analytical workflows for TCM quality control
Nnt Or Sensitivity: Identifies matrix interference, validation protocol gaps, and device reliability as key technical limitations
Confidence Interval: Not applicable - no quantitative synthesis
Clinical Application
Technology still in development phase - identifies gap between laboratory prototypes and real-world deployment Relevant to TGA regulation of complementary medicines; could support PBS-listed TCM products quality assurance and RACGP integrative medicine guidelines TCM manufacturers, regulatory agencies, healthcare facilities using TCM products, quality control laboratories
Abstract
Sensor technology has emerged as a transformative tool for point-of-need and portable quality control and safety assessment of Traditional Chinese Medicine (TCM) products. Although separation and detection technologies have improved, there is still a strong need to critically evaluate the entire analytical workflow from sample preparation to data interpretation to meet regulatory and routine monitoring requirements. This review critically evaluates the complete analytical workflow, from sample pretreatment to intelligent data interpretation, necessary to bridge the gap between laboratory prototypes and real-world deployment. Additionally, it provides a systematic summary of the mechanisms and applications of common types of sensors, utilising nanomaterials and molecular recognition elements to overcome the specific challenge of complex TCM matrices. A particular focus is placed on the emerging roles of Artificial Intelligence (AI) and Machine Learning (ML) in resolving high-dimensional spectral data and enhancing pattern recognition accuracy. Furthermore, we critically analyze current bottlenecks, including matrix interference, the lack of standardized validation protocols, and the reliability of portable devices in uncontrolled environments. Future directions are highlighted towards the development of self-validating, cloud-integrated (IoT), and eco-friendly sensing systems, aiming to support the global standardization and safety assurance of TCM products.
References
- 1.Wang, Z., Liu, B., Hussain, A., Sun, Z., Wang, L., & Li, P. (2026). Point-of-need and portable sensing strategies for quality and safety assessment of Traditional Chinese Medicine products: A critical analytical review. Analytica Chimica Acta, 345119. https://doi.org/10.1016/j.aca.2026.345119
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