On‐site analysis and rapid identification of citrus herbs by miniature mass spectrometry and machine learning

• DOI: 10.1002/rcm.9780
• Publication Date: 2024-06-18T07:55:32Z
• Authors: Xingyu Wang; Yanqiao Xie; Jinliang Yu; Ye Chen; Yun Tian; Ziying Wang; Zhengtao Wang; Linnan Li; Li Yang
• Keywords: Identification; Ingredient; Sample (material); Swift

Background Natural medicines present a considerable analytical challenge due to their diverse botanical origins and complex multi‐species composition. This inherent complexity complicates rapid identification analysis. Tangerine peel, product of the Citrus species from Rutaceae family, is widely used both as culinary ingredient in traditional Chinese medicine. It classified into two primary types China: Citri Reticulatae Pericarpium (CP) Viride (QP), differentiated by harvest time. A notable price disparity exists between CP another variety, reticulatae “Chachi” (GCP), with differences being based on original variety. Methods study introduces an innovative method using portable miniature mass spectrometry for swift on‐site analysis QP, CP, GCP, requiring less than minute per sample. And combined machine learning differentiate three site, was try distinguish GCP different storage years. Results novel tangerine peels enabled characterization 22 compounds one The simplifies sample processing integrates varieties. Moreover, multiple‐perceptron neural network model further employed specifically addressing significant gap them. Conclusions entire time about 1 minute, samples can be analyzed greatly reducing cost testing. Besides, this approach versatile, operates independently location environmental conditions, offers valuable tool assessing quality natural medicines.