کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1401737 1501718 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Discrimination and chemical characterization of different Paeonia lactifloras (Radix Paeoniae Alba and Radix Paeoniae Rubra) by infrared macro-fingerprint analysis-through-separation
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آلی
پیش نمایش صفحه اول مقاله
Discrimination and chemical characterization of different Paeonia lactifloras (Radix Paeoniae Alba and Radix Paeoniae Rubra) by infrared macro-fingerprint analysis-through-separation
چکیده انگلیسی


• Full chemical profiles of two Paeonia lactifloras (PLs) were expounded by IR macro-fingerprinting.
• Findings were verified by an IR analysis-through-separation approach combined with UPLC-MS/MS.
• Isolation processes of two PLs' water extracts were step-by-step analyzed by IR comprehensively.
• Sixty batches of two PLs were objectively classified and successfully discriminated.

Paeonia lactiflora, a commonly used herbal medicine (HM) in Traditional Chinese Medicine (TCM), mainly has two species, Radix Paeoniae Alba (RPA) and Radix Paeoniae Rubra (RPR), for different clinical applications in TCM. For expounding the chemical profile of RPA and RPR and ensuring the clinical efficacy and safety, an infrared macro-fingerprint analysis-through-separation method integrated with statistical pattern recognition was developed to analyze and discriminate the two Paeonia lactifloras. In IR spectra, the major difference between the two was in the range of 1200–900 cm−1: the strongest peak of RPA was at 1024 cm−1, while that of RPR was 1049 cm−1. The difference was magnified in second derivative spectra. The findings were further verified by investigating the separation process of total glucosides, stepwisely monitored by both of IR and UPLC-MS/MS. Simultaneously, the aqueous extracts of RPA and RPR had been separated continuously to acquire the comprehensively hierarchical chemical characteristics for undoubtedly identification and subsequently discrimination of the two herbs. Moreover, 60 batches of the two HMs (30 for each) were objectively classified by principal component regression (PCR) model based on IR macro-fingerprints.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Structure - Volume 1099, 5 November 2015, Pages 68–76
نویسندگان
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