印度葎草代谢组学和代谢组学研究资料

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Tripti Singh, Ashwani Mathur
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引用次数: 0

摘要

采用液相色谱-质谱法(LC-MS)和气相色谱-质谱法(GC-MS)对大田栽培雄性葎草的水提取物、甲醇提取物和正己烷提取物进行了化学分析。采用电感耦合等离子体质谱(ICP-MS)对土壤进行元素谱分析。元素分析显示,土壤富含铁、钙、镁、钠和钾,而铜、钴、锌和钼等微量元素的含量相对较少。在植物提取物中发现的化合物种类繁多,属于不同的植物化合物类群,包括酚类、类黄酮、脂肪酸和醇衍生物。鉴定了反式-2-甲基-4-正戊硫烷、2-叠氮-2,4,4,6,6,8,8-七甲基壬烷等化合物(相似度评分为>;65)在正己烷中,而在甲醇提取物中鉴定出了亚砷酸、三(三甲基硅基)酯和三(叔丁基二甲基硅氧基)胂等化合物。水提物中2-氨基-1,3,4-十八烷三醇和沙芬酚的峰面积为正模式,齐墩果酸和姜辣素的峰面积为负模式。提出了土壤元素组成、非生物因子与植物种质在植物化学剖面上的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data on investigation of metabolomics and ionomics of Humulus lupulus grown in India
The article reports data on chemical profiling of aqueous, methanolic, and n-hexane extract of field cultivated male Humulus lupulus using liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS). Also, the elemental profiling of the soil was carried out using Inductively coupled plasma mass spectrometry (ICP-MS). The elemental analysis revealed the soil to be rich in iron, calcium, magnesium, sodium, and potassium while trace elements like copper, cobalt, zinc, and molybdenum comparatively were found to be in lesser amounts. The diverse catalogues of compounds, identified in plant extracts, belong to different phytocompound groups, including phenolics, flavonoids, fatty acids, and alcohol derivatives. The compounds, such as Trans-2-methyl-4-n-pentylthiane, 2-Azido-2,4,4,6,6,8,8-heptamethylnonane were identified (with a similarity score > 65) in n-hexane, while compounds like Arsenous acid, tris(trimethylsilyl) ester and (Tris(tert-butyldimethylsilyloxy) arsane were identified in methanolic extract. The aqueous extract revealed compounds such as 2-Amino-1,3,4-octadecanetriol and Safingol with the highest peak area run in positive mode while Oleanolic acid and Gingerol have the highest peak area run in negative mode. The suggestive association between soil elemental composition, abiotic factors and plant germplasm, on phytochemical profile is proposed.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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