Near-Infrared Metabolic Profiling for Discrimination of Apricot and Peach Kernels

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...

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Bibliographic Details
Published in:	Chemical & pharmaceutical bulletin Vol. 70; no. 12; pp. 863 - 867
Main Authors:	Shirahata, Tatsuya, Kanazawa, Asuna, Uematsu, Marina, Fuchino, Hiroyuki, Kawano, Noriaki, Kawahara, Nobuo, Yoshimatsu, Kayo, Hanawa, Toshihiko, Odaguchi, Hiroshi, Kobayashi, Yoshinori
Format:	Journal Article
Language:	English
Published:	Tokyo The Pharmaceutical Society of Japan 01-12-2022 Japan Science and Technology Agency
Subjects:	Discriminant analysis Drugs I.R. radiation Kernels metabolic profiling Near infrared radiation near-infrared spectroscopy peach and apricot kernel Principal components analysis Semen
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Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0009-2363 1347-5223
DOI:	10.1248/cpb.c21-01102