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1.
J Biomed Opt ; 10(6): 064039, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-16409104

RESUMO

Near-infrared measurements of glucose in human plasma are performed using a custom, rapid, high-throughput filter-based spectrometer covering a spectral range between 2080 and 2315 nm. Quality of the measured glucose signals is quantified through the use of two figures of merit: selectivity and limit of detection. Selectivity measures the uniqueness of the glucose spectrum from among the interfering spectra. Limit of detection measures the smallest glucose concentration change detectable. The proposed system, which includes the spectroscopic hardware and a spectral preprocessing algorithm, is shown to produce a selectivity value of 0.57, with zero being nonselective and one being fully selective, and a limit of detection value of 2.2 mM. Prediction of an independent dataset is also performed using net analyte signal-based and partial least-squares multivariate calibration techniques, which produce standard error of prediction values of 1.14 and 1.45 mM, respectively.


Assuntos
Algoritmos , Glicemia/análise , Espectrofotometria Infravermelho/instrumentação , Espectrofotometria Infravermelho/métodos , Desenho de Equipamento , Análise de Falha de Equipamento , Humanos , Controle de Qualidade , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
2.
Appl Opt ; 43(13): 2680-8, 2004 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-15130007

RESUMO

The development of an accurate and reliable noninvasive near-infrared (NIR) glucose sensor hinges on the success in addressing the sensitivity and the specificity problems associated with the weak glucose signals and the overlapping NIR spectra. Spectroscopic hardware parameters most relevant to noninvasive blood glucose measurement are discussed, which include the optical throughput, integration time, spectral range, and the spectral resolution. We propose a unique spectroscopic system using a continuously rotating interference filter, which produces a signal-to-noise ratio of the order of 10(5) and is estimated to be the minimum required for successful in vivo glucose sensing. Using a classical least-squares algorithm and a spectral range between 2180 and 2312 nm, we extracted clinically relevant glucose concentrations in multicomponent solutions containing bovine serum albumin, triacetin, lactate, and urea.


Assuntos
Algoritmos , Glicemia/análise , Desenho Assistido por Computador , Diagnóstico por Computador/instrumentação , Diagnóstico por Computador/métodos , Espectroscopia de Infravermelho com Transformada de Fourier/instrumentação , Espectroscopia de Infravermelho com Transformada de Fourier/estatística & dados numéricos , Desenho de Equipamento/métodos , Análise de Falha de Equipamento , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
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