A validated LC–MS/MS method for quantitative determination of L‐dopa in Fagioli di Sarconi beans (Phaseolus vulgaris L.)

Author:

Tesoro Carmen1,Lelario Filomena1,Ciriello Rosanna1,Bianco Giuliana1,Acquavia Maria Assunta1ORCID,Montoro Paola2,Crescenzi Maria Assunta2,Gregori Emanuela3ORCID,Dell'Agli Mario4,Piazza Stefano4,Guerrieri Antonio1,Di Capua Angela1

Affiliation:

1. Department of Sciences University of Basilicata Potenza Italy

2. Department of Pharmacy University of the Study of Salerno Fisciano Italy

3. Department of Food Safety, Nutrition and Veterinary Public Health Istituto Superiore di Sanità Rome Italy

4. Department of Pharmacological and Biomolecular Sciences “Rodolfo Paoletti” University of Milan Milan Italy

Abstract

AbstractAn analytical method based on ultrasound assisted extraction (UAE) and liquid chromatography coupled to electrospray tandem mass spectrometry (LC–ESI/MS/MS) was validated and applied for determining L‐dopa in four ecotypes of Fagioli di Sarconi beans (Phaseolus vulgaris L.), marked with the European label PGI (Protected Geographical Indication). The selectivity of the proposed method was ensured by the specific fragmentation of the analyte. Simple isocratic chromatographic conditions and mass spectrometric detection in multiple reaction monitoring (MRM) acquisition mode were used for sensitive quantification. The LC–ESI/MS/MS method was validated within a linear range of 0.001–5.000 μg/mL. Values of 0.4 and 1.1 ng/mL were obtained for the limits of detection and quantification, respectively. The repeatability, inter‐day precision, and recovery values ranges were 0.6%–4.5%, 5.4%–9.9%, and 83%–93%, respectively. Fresh and dried beans, as well as pods, cultivated exclusively with organic methods avoiding any synthetic fertilizers and pesticides were analyzed showing an L‐dopa content ranging from 0.020 ± 0.005 to 2.34 ± 0.05 μg/g dry weight.

Funder

Regione Basilicata

Publisher

Wiley

Subject

Spectroscopy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3