基于颜色变化揭示石斛兰花的营养潜力:基于高分辨率质谱的非靶向代谢组学研究。

Suman Natta, Nasiruddin Shaikh, Ekatpure Sachin, Amine Kassouf, Nishant Deshmukh, Sankar Prasad Das, Kaushik Banerjee
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引用次数: 0

摘要

背景:石斛是一种具有多种治疗特性的食用兰花。在印度喜马拉雅东北部各邦,这种花的提取物被部落居民用来治疗糖尿病、癌症和心血管疾病。然而,在喜马拉雅东北地区栽培的彩色品种中,生物活性化合物的分布情况尚不明确,需要进行深入的研究。目的:利用液相色谱-高分辨质谱(LC-HRMS)技术建立并比较白、浅粉色和深粉色三种牡丹花的代谢物谱。方法:用甲醇水溶液提取匀浆和冷冻的花样品。在通过全扫描(非靶向)和MS/MS(靶向)模式获取LC-MS数据后,数据处理涉及峰对准,加合物识别和整合。结果采用独立成分分析进行多元统计比较。结果:共鉴定出73种代谢物,前体离子和片段离子的质量误差均小于5ppm。从花青素类中,化学计量学分析揭示了11种不同的生物标志物代谢物,它们对投影值大于1的影响是可变的。在测试资料中,有三个化合物,即花青素-3-二葡糖苷,飞燕草苷-3-槐苷和飞燕草苷-3-龙胆苷显示出歧视性存在。结论:本研究鉴定出了三种不同金莲花代谢组学鉴别中具有重要治疗意义的花青素。该研究将为品种鉴定、衍生产品鉴定、选育候选性状提供依据。本研究基于非目标代谢组学方法的颜色变化,鉴定并描述了生长在印度喜马拉雅东北部地区的D. nobile兰花中的生物活性花青素化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unfolding the nutraceutical potentials of Dendrobium nobile Lindl orchid flowers based on their color variation: a high-resolution mass spectrometry-based untargeted metabolomics study.

Background: Dendrobium nobile is an edible orchid with diverse therapeutic properties. In north-eastern Himalayan states of India, the extract of this flower is consumed by tribal populations for the treatment of diabetes, cancer, and cardiovascular diseases. However, the profile of biologically active compounds in the colored varieties of D. nobile orchid flowers cultivated in the north-eastern Himalayan region is not well-established, necessitating a thorough investigation.

Objective: This study aims to establish and compare the metabolite profile of three types of D. nobile flowers (white, light-pink, and dark pink) using liquid chromatography-high resolution mass spectrometry (LC-HRMS).

Methods: The homogenized and cryoground flower samples were extracted with aqueous methanol. After LC-MS data acquisition through full-scan (untargeted) and MS/MS (targeted) modes, data processing involved peak alignment, adduct identification, and integration. Results were compared by multivariate statistics using Independent Component Analysis.

Results: A total of 73 metabolites was identified, each with mass error of less than 5 ppm for both precursor and fragment ions. From anthocyanin classes, the chemometric analysis revealed 11 distinguishing biomarker metabolites, with variable influence on projection values above 1. Across the test accessions, three compounds, viz. cyanidin-3-diglucoside, delphinidin-3-sophoroside, and delphinidin-3-gentiobioside revealed their discriminatory presence.

Conclusion: The study identified the therapeutically important anthocyanins for metabolomic discrimination of three different D. nobile flower accessions. The study will be useful for authenticating D. nobile accessions, derived products, and selecting candidate traits for future breeding programs for varietal improvements.

Highlights: This study identified and profiled the bioactive anthocyanin compounds in D. nobile orchid flowers grown in the north-eastern Himalayan region of India, based on color variations using a non-target metabolomics approach.

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