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黄芪花全规模极性成分解析及超声辅助优化的创新策略。

Innovative strategy for full-scale polar components explicition and ultrasonic-assisted optimization of Astragalus membranaceus flower.

作者信息

Wang Yumei, Gu Meiling, Zhang Meng, Mao Jialin, Han Yujian, Liu Qi

机构信息

The Research Institute of Medicine and Pharmacy, Qiqihar Medical University, Qiqihar 161006 China.

The Research Institute of Medicine and Pharmacy, Qiqihar Medical University, Qiqihar 161006 China; School of Pharmacy, Qiqihar Medical University, Qiqihar 161006 China.

出版信息

Ultrason Sonochem. 2025 Mar;114:107238. doi: 10.1016/j.ultsonch.2025.107238. Epub 2025 Jan 24.

DOI:10.1016/j.ultsonch.2025.107238
PMID:39884109
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11814668/
Abstract

Traditional extraction under merely one specific solvent was confronted with incomplete phytochemical unscramble problem. In view of this, in order to obtain the overall chemical understanding, we attempted to use Astragalus membranaceus flower, an abundant exploitable resource, to screen a novel extraction mixing scheme via gradient solvents based on the ions' quantity detected in UHPLC-Q-TOF-MS/MS approach. Samples were firstly extracted by different concentration ethanol, and then, six mixing schemes were investigated and one scheme with maximum detected ions was screened out. After identification procedures based on an comprehensive reference database, 136 components covered 54 flavonoids were accurately identified, indicating that flavonoids may played a critical role in Astragalus membranaceus flower. Through the Box-Behnken Design optimization, 29.79 mg/g of flavonoids were extracted under ethanol concentration of 35 %, solid-liquid ratio of 1:50, extraction time of 50 min. The experiments showed that the established mixing scheme could obtain more comprehensive ingredients compared to orthodox extraction, further guide the optimization of significative ingredients scientifically. The present paper could promote the development of Astragalus membranaceus flower.

摘要

仅在一种特定溶剂下进行的传统提取面临植物化学解译不完整的问题。鉴于此,为了全面了解其化学成分,我们尝试以资源丰富且可开发的黄芪花为原料,基于超高效液相色谱-四极杆飞行时间串联质谱(UHPLC-Q-TOF-MS/MS)法检测到的离子数量,通过梯度溶剂筛选一种新型提取混合方案。样品首先用不同浓度的乙醇进行提取,然后研究了六种混合方案,并筛选出一种检测到离子数量最多的方案。基于综合参考数据库进行鉴定后,准确鉴定出136种成分,其中包括54种黄酮类化合物,这表明黄酮类化合物可能在黄芪花中起关键作用。通过Box-Behnken设计优化,在乙醇浓度35%、固液比1:50、提取时间50分钟的条件下,提取得到了29.79毫克/克的黄酮类化合物。实验表明,与传统提取方法相比,所建立的混合方案能够获得更全面的成分,进一步科学地指导有意义成分的优化。本文可促进黄芪花的开发利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/ffc163380852/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/99be34d36087/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/a8d4c94686e5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/f9c8588cdc1d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/1f4018737a73/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/52f5c37c2a2b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/f1056bcb545a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/42b4de234e69/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/ffc163380852/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/99be34d36087/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/a8d4c94686e5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/f9c8588cdc1d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/1f4018737a73/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/52f5c37c2a2b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/f1056bcb545a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/42b4de234e69/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/11814668/ffc163380852/gr8.jpg

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