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Comparative analysis of the spectrophotometry based total phenolic acid estimation methods

机译:基于分光光度法的总酚酸估计方法的比较分析

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This paper proposes a total phenolic acid estimation technique for samples with unknown phenolic acid composition and preliminary sample screening in resource-constrained settings. Phenolic acids constitute one of the important secondary metabolites for industry and researchers, but appropriate technique for its estimation by rural entrepreneurs is unclear. This study compared spectrophotometric Arnov test (AT) and potassium iodate test (PT) on the basis of seven parameters namely input requirements, process, limit of detection (LOD), limit of quantification (LOQ), linearity range, interferences and different phenolic compounds response. As per the results of the study PT is better than AT in input requirements, process, interference and different phenolic compounds response whereas AT is better than PT in LOD, LOQ and linearity range. Therefore, the study concluded that PT could be more suitable for rural entrepreneurs.
机译:本文提出了一种全酚酸估计技术,用于具有未知的酚醛酸组合物的样品和资源受限环境中的初步样品筛选。 酚醛酸构成了工业和研究人员的重要次生代谢产物,但是通过农村企业家估算的适当技术尚不清楚。 本研究比较分光光度法arnov试验(AT)和碘酸钾试验(PT)的基础上的七个参数即输入要求,过程,检测限(LOD),定量限制(LOQ),线性范围,干扰和不同的酚类化合物 回复。 根据研究结果,PT优于输入要求,工艺,干扰和不同酚类化合物的响应,而在LOD,LOQ和线性范围内均优于PT。 因此,研究得出结论,PT可能更适合农村企业家。

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