4.7 Article

Determination of 17β-estradiol and noradrenaline in dog serum using surface-enhanced Raman spectroscopy and random Forest

期刊

MICROCHEMICAL JOURNAL
卷 128, 期 -, 页码 95-101

出版社

ELSEVIER
DOI: 10.1016/j.microc.2016.04.012

关键词

Dog serum; Hormones; SERS; Random forest; Variable importance

资金

  1. CNPq-Brazil [483561/2012-6, 140706/2013-5, 307838/2013-7]

向作者/读者索取更多资源

In this paper is,proposed a methodology for quantification of two veterinary hormones (17 beta-estradiol and noradrenaline) in dog serum based on surface-enhanced Raman spectroscopy (SERS) in conjunction with Random Forest for data treatment. It does not require sample pre-treatment and was automated using a multiwell plate holder from Raman equipment of 96 well plates, allowing the sequential analysis without manipulations in less than one hour. Comparable results with ELISA reference method were achieved, with relative errors of prediction not superior to 15% for 17 beta-estradiol and 7% for noradrenaline. Studies concerning calculations of systematic errors, tendency in the residuals, interval confidence and variable importance were performed permitting certification of the methodology validity and identification of SERS bands related to the hormones quantification. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据