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Type: Artigo de Periódico
Title: Determination Of 17 Beta-estradiol And Noradrenaline In Dog Serum Using Surface-enhanced Raman Spectroscopy And Random Forest
Author: Albuquerque
CDL; Nogueira
RB; Poppi
Abstract: 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.
Subject: Dog Serum
Random Forest
Variable Importance
Citation: Microchemical Journal. ELSEVIER SCIENCE BV, n. 128, p. 95 - 101.
Rights: fechado
Identifier DOI: 10.1016/j.microc.2016.04.012
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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