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Micro-electro-mechanical systems/near-infrared technology is reliable for analyzing Chinese herbal medicine. Integrating sphere sampling modes and wider concentration ranges (1-4%) yield better results than fiber optic probes and narrower ranges (1-2%).

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Chemometrics

Background:

  • Near-infrared (NIR) spectroscopy is a valuable tool for analyzing traditional Chinese medicine (TCM).
  • Optimizing sampling modes and sample sets is crucial for reliable quantitative analysis in TCM.
  • Micro-electro-mechanical systems (MEMS) integrated with NIR technology offer potential for advanced analytical applications.

Purpose of the Study:

  • To evaluate the reliability of MEMS/NIR technology for analyzing TCM.
  • To compare the performance of integrating sphere versus fiber optic probe sampling modes.
  • To assess the impact of different sample concentration ranges on model accuracy.

Main Methods:

  • Investigated analytical models for integrating sphere and fiber optic probe sampling modes.
  • Optimized spectral pretreatments and selected wavelength regions using interval partial least squares (i-PLS) and moving window partial least squares (MWPLS).
  • Validated the method using an accuracy profile and test set validation.

Main Results:

  • Integrating sphere mode models outperformed fiber optic probe mode models.
  • Fiber optic probe modes showed increased susceptibility to interference due to weaker incident light intensity.
  • Models using wider sample concentration ranges (1-4%) performed better than those with narrower ranges (1-2%).
  • Variable selection did not significantly impact the full spectral model's performance.

Conclusions:

  • MEMS/NIR technology is a reliable analytical technique for TCM.
  • Integrating sphere sampling is preferable to fiber optic probes for MEMS/NIR analysis of TCM.
  • Wider concentration ranges in sample sets enhance model performance.
  • This study provides guidance for analytical guidelines concerning sampling modes and sample sets in MEMS/NIR analysis of TCM.