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从玉蕊果(Genipa americana L.)中提取多酚氧化酶生物传感器的研制及其对纺织工业废水中酚类化合物的测定。

Development of a Polyphenol Oxidase Biosensor from Jenipapo Fruit Extract (Genipa americana L.) and Determination of Phenolic Compounds in Textile Industrial Effluents.

机构信息

Faculdade de Farmácia, Universidade Federal do Goiás (UFG), Rua 221 Esquina com a 5ª Avenida s/n, Setor Universitário, Goiânia-GO 74605-170, Brazil.

Campus Henrique Santilo, BR-153, 3105, Universidade Estadual de Goiás, Fazenda Barreiro do Meio, Anápolis-GO 75132-903, Brazil.

出版信息

Biosensors (Basel). 2018 May 15;8(2):47. doi: 10.3390/bios8020047.

Abstract

In this work, an innovative polyphenol oxidase biosensor was developed from Jenipapo ( L.) fruit and used to assess phenolic compounds in industrial effluent samples obtained from a textile industry located in Jaraguá-GO, Brasil. The biosensor was prepared and optimized according to: the proportion of crude vegetal extract, pH and overall voltammetric parameters for differential pulse voltammetry. The calibration curve presented a linear interval from 10 to 310 µM (r² = 0.9982) and a limit of detection of 7 µM. Biosensor stability was evaluated throughout 15 days, and it exhibited 88.22% of the initial response. The amount of catechol standard recovered post analysis varied between 87.50% and 96.00%. Moreover, the biosensor was able to detect phenolic compounds in a real sample, and the results were in accordance with standard spectrophotometric assays. Therefore, the innovatively-designed biosensor hereby proposed is a promising tool for phenolic compound detection and quantification when environmental contaminants are concerned.

摘要

在这项工作中,我们开发了一种从 Jenipapo(L.)水果中提取的新型多酚氧化酶生物传感器,并将其用于评估来自巴西 Jaraguá-GO 的一家纺织工业的工业废水样品中的酚类化合物。根据:粗植物提取物的比例、pH 值和差分脉冲伏安法的总体伏安参数对生物传感器进行了制备和优化。校准曲线的线性区间为 10 至 310µM(r²=0.9982),检测限为 7µM。通过 15 天的评估,生物传感器的稳定性表现出初始响应的 88.22%。分析后回收的儿茶素标准量在 87.50%至 96.00%之间变化。此外,该生物传感器还能够检测实际样品中的酚类化合物,并且结果与标准分光光度法分析一致。因此,当涉及环境污染物时,本研究提出的创新型生物传感器是一种用于检测和定量酚类化合物的有前途的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4be/6023019/f3d479c00fa7/biosensors-08-00047-g001.jpg

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