Literature DB >> 21621031

Fast determination of thyroid stimulating hormone in human blood serum without chemical preprocessing by using infrared spectroscopy and least squares support vector machines.

Cesar Mello1, Antônio Marangoni, Ronei Poppi, Isao Noda.   

Abstract

The least squares support vector machines (LS-SVM) was used to model infrared spectral data for TSH hormone secreted by thyroid, which regulates the basal metabolic rate. This model was used for direct estimation of the content of TSH in blood serum samples, and the results were comparable with those obtained with the conventional analytical method based on chemoluminescence methodology. Excellent agreement was observed between the conventional method and the newly developed calibration model based in analysis of spectral data with LS-SVM. The latter has clear advantages, because it is fast and requires no reagent once the measurements were done directly in the serum by using a simple mid-infrared spectrometer in the ATR mode. An important advantage observed in this calibration method based on LS-SVM is the remarkable capacity to avoid overfitting in the model-building step, that is, the developed method is highly robust.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21621031     DOI: 10.1016/j.aca.2011.04.015

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  1 in total

1.  Intraoperative diagnosis of benign and malignant breast tissues by fourier transform infrared spectroscopy and support vector machine classification.

Authors:  Peirong Tian; Weitao Zhang; Hongmei Zhao; Yutao Lei; Long Cui; Wei Wang; Qingbo Li; Qing Zhu; Yuanfu Zhang; Zhi Xu
Journal:  Int J Clin Exp Med       Date:  2015-01-15
  1 in total

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