Chemical and Pharmaceutical Bulletin
Online ISSN : 1347-5223
Print ISSN : 0009-2363
ISSN-L : 0009-2363
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Near-Infrared Metabolic Profiling for Discrimination of Apricot and Peach Kernels
Tatsuya Shirahata Asuna KanazawaMarina UematsuHiroyuki FuchinoNoriaki KawanoNobuo KawaharaKayo YoshimatsuToshihiko HanawaHiroshi OdaguchiYoshinori Kobayashi
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2022 Volume 70 Issue 12 Pages 863-867


Apricot and Peach Kernels are commercial crude drugs used in many formulas of traditional Japanese medicine, Kampo. Although their applications are quite different, it is difficult to distinguish them using conventional methods such as HPLC. The study aimed at near-infrared (NIR) metabolic profiling to discriminate Apricot and Peach Kernels (Armeniacae Semen and Persicae Semen) collected from Japanese markets. A fast, simple, non-destructive, and robust NIR measurement of kernel surface with no sample pre-treatment was achieved in situ. Principal component analysis and orthogonal partial least squares discriminant analysis (OPLS-DA) models showed discrimination between the two crude drugs with good fitting and prediction values. These results indicate that NIR metabolic profiling is useful for discriminating Apricot and Peach Kernels based on their chemical constituents using a simple and non-destructive procedure.

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