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分析银胶菊(Parthenium argentatum,A. Gray)中阿根廷定 A 和 B 的新策略。

New strategies to analyze argentatins A and B in guayule (Parthenium argentatum, A. Gray).

机构信息

Instituto de Toxicología de La Defensa, Hospital Central de La Defensa Gómez Ulla, Gta. Ejército 1, 28047, Madrid, Spain.

Instituto Técnico Agronómico Provincial de Albacete, ITAP. Parque Empresarial Campollano, 2(a) Avenida, 02007, Albacete, 61, Spain; Universidad de Castilla-La Mancha, E.T.S.I. Agronómica, de Montes y Biotecnología (ETSIAMB), Cátedra de Química Agrícola, Avda. de España S/n, Albacete, 02071, Spain.

出版信息

Talanta. 2023 Dec 1;265:124856. doi: 10.1016/j.talanta.2023.124856. Epub 2023 Jun 20.

DOI:10.1016/j.talanta.2023.124856
PMID:37356192
Abstract

There is considerable interest in the exploitation of compounds belonging to the triterpenoid family from guayule (Parthenium argentatum, A. Gray), as they offer several beneficial effects to human health. The most abundant triterpenoids in guayule resin are the argentatins, which are currently analyzed by labor-intensive and time-consuming techniques. The purpose of the present study was to estimate argentatins and isoargentatins A and B in guayule using near-infrared spectroscopy (NIRS) and flow injection analysis (FIA). Results revealed that the best partial least squares regression model exhibited excellent correlation with the values estimated by NIRS calibration (rc = 0.99-1.00) and cross-validation (rcv = 0.94-0.99), and the residual predictive deviation was >3 in all cases. After optimization of the liquid chromatography-mass spectrometry and FIA parameters, the FIA mode could reliably collect data for argentatin A and B after applying a calculated coverage factor. In sum, NIRS and FIA appear to be a robust option for the estimation and routine analysis of argentatins in guayule stems and resin, respectively.

摘要

人们对从银胶菊(Parthenium argentatum,A. Gray)中提取萜类化合物非常感兴趣,因为它们对人类健康有多种有益的影响。银胶菊树脂中含量最丰富的三萜类化合物是银胶菊醇,目前它们的分析方法是劳动密集型且耗时的。本研究的目的是使用近红外光谱(NIRS)和流动注射分析(FIA)来估算银胶菊中的银胶菊醇和异银胶菊醇 A 和 B。结果表明,最佳偏最小二乘回归模型与 NIRS 校准值(rc=0.99-1.00)和交叉验证值(rcv=0.94-0.99)具有极好的相关性,并且在所有情况下,剩余预测偏差均>3。在优化液相色谱-质谱和 FIA 参数后,在应用计算的覆盖因子后,FIA 模式可以可靠地收集银胶菊醇 A 和 B 的数据。总之,NIRS 和 FIA 似乎是分别估算和常规分析银胶菊茎和树脂中银胶菊醇的可靠选择。

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1
New strategies to analyze argentatins A and B in guayule (Parthenium argentatum, A. Gray).分析银胶菊(Parthenium argentatum,A. Gray)中阿根廷定 A 和 B 的新策略。
Talanta. 2023 Dec 1;265:124856. doi: 10.1016/j.talanta.2023.124856. Epub 2023 Jun 20.
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