{"title":"研究多色鸢尾的代谢特征,优化半操作规模的生物活性成分分离","authors":"","doi":"10.1016/j.procbio.2024.07.001","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, we aimed to (i) better understand the phytochemical composition of extracts prepared from the leaves and roots with rhizomes of the scarcely studied <em>Iris versicolor</em>, and (ii) propose optimal extraction conditions (solvent composition, temperature, time) for the isolation of bioactive compounds. A UHPLC-QTOF-MS/MS targeted screening method was applied in combination with in silico fragmentation. The analysis revealed a total of 106 target metabolites, many of which are reported to occur in <em>I. versicolor</em> for the first time. (Iso)flavonoids were the most abundant compounds, followed by terpenoids, phenols, xanthones, phenolic acids, quinones, and steroids, with quinones being reported for the first time in this species. Terpenoids were characteristic of roots with rhizomes, while xanthones dominated in the leaves. Based on the varied experimental conditions, surface response analysis generated significant models for the extraction of terpenoids, quinones, and steroids. Our research provides valuable insight for the effective medicinal and commercial use of <em>I. versicolor.</em></p></div>","PeriodicalId":20811,"journal":{"name":"Process Biochemistry","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of Iris versicolor metabolic profile and optimization of the isolation of bioactive components on a semi-operation scale\",\"authors\":\"\",\"doi\":\"10.1016/j.procbio.2024.07.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, we aimed to (i) better understand the phytochemical composition of extracts prepared from the leaves and roots with rhizomes of the scarcely studied <em>Iris versicolor</em>, and (ii) propose optimal extraction conditions (solvent composition, temperature, time) for the isolation of bioactive compounds. A UHPLC-QTOF-MS/MS targeted screening method was applied in combination with in silico fragmentation. The analysis revealed a total of 106 target metabolites, many of which are reported to occur in <em>I. versicolor</em> for the first time. (Iso)flavonoids were the most abundant compounds, followed by terpenoids, phenols, xanthones, phenolic acids, quinones, and steroids, with quinones being reported for the first time in this species. Terpenoids were characteristic of roots with rhizomes, while xanthones dominated in the leaves. Based on the varied experimental conditions, surface response analysis generated significant models for the extraction of terpenoids, quinones, and steroids. Our research provides valuable insight for the effective medicinal and commercial use of <em>I. versicolor.</em></p></div>\",\"PeriodicalId\":20811,\"journal\":{\"name\":\"Process Biochemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Process Biochemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1359511324002228\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Biochemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359511324002228","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
在这项研究中,我们的目的是:(i) 更好地了解从鲜有研究的 Iris versicolor 的叶、根和根茎中提取的植物化学成分;(ii) 提出分离生物活性化合物的最佳提取条件(溶剂成分、温度、时间)。采用超高效液相色谱-QTOF-MS/MS 目标筛选方法,并结合硅学片段分析。分析总共发现了 106 种目标代谢物,其中许多是首次报道出现在 I. versicolor 中。(异黄酮类化合物含量最高,其次是萜类、酚类、黄酮类、酚酸类、醌类和类固醇类化合物,其中醌类化合物是首次在该物种中出现。萜类化合物是根和根茎的特征,而黄酮类化合物在叶片中占主导地位。根据不同的实验条件,表面响应分析为萜类化合物、醌类化合物和类固醇的提取生成了重要的模型。我们的研究为 I. versicolor 的有效药用和商业用途提供了宝贵的见解。
Investigation of Iris versicolor metabolic profile and optimization of the isolation of bioactive components on a semi-operation scale
In this study, we aimed to (i) better understand the phytochemical composition of extracts prepared from the leaves and roots with rhizomes of the scarcely studied Iris versicolor, and (ii) propose optimal extraction conditions (solvent composition, temperature, time) for the isolation of bioactive compounds. A UHPLC-QTOF-MS/MS targeted screening method was applied in combination with in silico fragmentation. The analysis revealed a total of 106 target metabolites, many of which are reported to occur in I. versicolor for the first time. (Iso)flavonoids were the most abundant compounds, followed by terpenoids, phenols, xanthones, phenolic acids, quinones, and steroids, with quinones being reported for the first time in this species. Terpenoids were characteristic of roots with rhizomes, while xanthones dominated in the leaves. Based on the varied experimental conditions, surface response analysis generated significant models for the extraction of terpenoids, quinones, and steroids. Our research provides valuable insight for the effective medicinal and commercial use of I. versicolor.
期刊介绍:
Process Biochemistry is an application-orientated research journal devoted to reporting advances with originality and novelty, in the science and technology of the processes involving bioactive molecules and living organisms. These processes concern the production of useful metabolites or materials, or the removal of toxic compounds using tools and methods of current biology and engineering. Its main areas of interest include novel bioprocesses and enabling technologies (such as nanobiotechnology, tissue engineering, directed evolution, metabolic engineering, systems biology, and synthetic biology) applicable in food (nutraceutical), healthcare (medical, pharmaceutical, cosmetic), energy (biofuels), environmental, and biorefinery industries and their underlying biological and engineering principles.