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关于植物化学筛选、傅里叶变换红外光谱(FTIR)和气相色谱-质谱联用(GC-MS)表征[具体物质]作为纳米颗粒合成的还原剂和稳定剂的数据集。

Dataset on phytochemical screening, FTIR and GC-MS characterisation of and as reducing and stabilising agents for nanoparticles synthesis.

作者信息

Bolade Oladotun P, Akinsiku Anuoluwa A, Adeyemi Alaba O, Williams Akan B, Benson Nsikak U

机构信息

Department of Chemistry, Covenant University, Km 10 Idiroko Road, Ota, Nigeria.

Department of Biochemistry, Covenant University, Km 10 Idiroko Road, Ota, Nigeria.

出版信息

Data Brief. 2018 Aug 31;20:917-926. doi: 10.1016/j.dib.2018.08.133. eCollection 2018 Oct.

Abstract

The dataset for this article contains phytochemical and FTIR data for three different extracts from two indigenous medicinal plants obtained from Ogun State, Southwest Nigeria and the GC-MS characterisation data for their ethanolic extracts. To obtain this data, the leaves of and were collected from the premises of Covenant University, Nigeria. The plants were dried, pulverized and extracted with ethanol, distilled water and ethanol:water (50:50), before phytochemical screening (qualitative and quantitative), FTIR and GC-MS analyses were carried out. The dataset provides insight into the presence of bioactive phyto-constituents such as polyphenols and tannins as potential precursors for green-based nanoparticle synthesis.

摘要

本文的数据集包含从尼日利亚西南部奥贡州获取的两种本土药用植物的三种不同提取物的植物化学和傅里叶变换红外光谱(FTIR)数据,以及它们乙醇提取物的气相色谱-质谱联用(GC-MS)表征数据。为获取这些数据,[植物名称1]和[植物名称2]的叶子采自尼日利亚联邦大学的校园。将植物干燥、粉碎,并用乙醇、蒸馏水以及乙醇:水(50:50)进行提取,然后进行植物化学筛选(定性和定量)、FTIR以及GC-MS分析。该数据集有助于了解生物活性植物成分(如多酚和单宁)的存在情况,这些成分可能是绿色纳米颗粒合成的潜在前体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/961d/6138977/f762b7cb24a5/gr1.jpg

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