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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|
|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.|
|Editor:||ELSEVIER SCIENCE BV|
|Citation:||Microchemical Journal. ELSEVIER SCIENCE BV, n. 128, p. 95 - 101.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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