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留兰香(L.)的植物化学成分分析:采前/后处理和提取回收的影响。

Spearmint ( L.) Phytochemical Profile: Impact of Pre/Post-Harvest Processing and Extractive Recovery.

机构信息

Grupo de Investigación en Sustancias Bioactivas GISB, Facultad de Ciencias Farmacéuticas y Alimentarias, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 0500100, Colombia.

Bioingred Tech S.A.S., Tech Innovation Group, Calle 46 No. 41-69, Itagüí 055412, Colombia.

出版信息

Molecules. 2022 Mar 30;27(7):2243. doi: 10.3390/molecules27072243.

Abstract

The purpose of this study was to chemically compare samples of Mentha spicata (marketing byproducts, production byproducts, and export material), cultivated in the open field and under greenhouse, using an integrated approach by HPLC/DAD and GC/MS analysis. The presence of phenolic compounds was higher in the marketing byproducts cultivated in the open field. Marketing byproducts also had the highest amount of carvone. For this reason, this byproduct was selected as a candidate for the development of natural ingredients. With the best selected material, the optimization of simultaneous high-intensity ultrasound-assisted extraction processes was proposed for the recovery of the compounds of interest. This extraction was defined by Peleg’s equation and polynomial regression analysis. Modeling showed that the factors amplitude, time, and solvent were found to be significant in the recovery process (p < 0.005). The maximum amount of compounds was obtained using 90% amplitude for 5 min and ethanol/water mixture (80:20) for extraction to simultaneously obtain phenolic and terpenoid compounds. This system obtained the highest amount of monoterpenoid and sesquiterpenoid compounds from the essential oil of M. spicata (64.93% vs. 84.55%). Thus, with an efficient and eco-friendly method, it was possible to optimize the extraction of compounds in M. spicata as a starting point for the use of its byproducts.

摘要

本研究旨在采用 HPLC/DAD 和 GC/MS 分析的综合方法,对在田间和温室中种植的留兰香(市售副产物、生产副产物和出口材料)样品进行化学比较。在田间种植的市售副产物中,酚类化合物的含量较高。市售副产物中也含有最高量的香芹酮。出于这个原因,这种副产物被选为开发天然成分的候选物。选择了最佳的材料后,提出了同时使用高强度超声辅助提取过程的优化方案,以回收感兴趣的化合物。该提取由 Peleg 方程和多项式回归分析进行定义。模型表明,在回收过程中,幅度、时间和溶剂这三个因素被发现是显著的(p<0.005)。使用 90%的幅度提取 5 分钟,并用乙醇/水混合物(80:20)提取,可获得最大量的化合物,从而同时获得酚类和萜烯类化合物。该系统从留兰香油中获得了最高量的单萜和倍半萜化合物(64.93%比 84.55%)。因此,采用高效、环保的方法,可以优化留兰香中化合物的提取,作为其副产物使用的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ce/9000270/66e46058bc39/molecules-27-02243-g001.jpg

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