Abstract

The infrared (IR) spectra of whole blood EDTA samples, in the range between 1500 and 750 cm⁻¹, obtained from the patient population of a general hospital, were used to compare different multivariate calibration techniques for quantitative glucose determination. Ninety-six spectra of whole undiluted blood samples with glucose concentration ranging between 44 and 291 mg/dL were used to create calibration models based on a combination of partial least-squares (PLS) and artificial neural network (ANN) methods. The prediction capabilities of these calibration models were evaluated by comparing their standard errors of prediction (SEP) with those obtained with the use of PLS and principal component regression (PCR) calibration models in an independent prediction set consisting of 31 blood samples. The optimal model based on the combined PLS-ANN produced smaller SEP values (15.6 mg/dL) compared with those produced with the use of either PLS (21.5 mg/dL) or PCR (24.0 mg/dL) methods. Our results revealed that the combined PLS-ANN models can better approximate the deviations from linearity in the relationship between spectral data and concentration, compared with either PLS or PCR models

Determination of glucose in whole blood samples by mid-infrared spectroscopy

Yoen-Joo Kim, Sangjoon Hahn, and Gilwon Yoon
Appl. Opt. 42(4) 745-749 (2003)

Determination of the nutrient profile in plant materials using laser-induced breakdown spectroscopy with partial least squares-artificial neural network hybrid models

Ping Yang, Xiangyou Li, and Zhanglong Nie
Opt. Express 28(15) 23037-23047 (2020)

Pattern recognition of visible and near-infrared spectroscopy from bayberry juice by use of partial least squares and a backpropagation neural network

Haiyan Cen, Yidan Bao, and Yong He
Appl. Opt. 45(29) 7679-7683 (2006)

Broadband polarimetric glucose determination in protein containing media using characteristic optical rotatory dispersion

Christian Stark, Cesar Andres Carvajal Arrieta, Reza Behroozian, Benjamin Redmer, Felix Fiedler, and Stefan Müller
Biomed. Opt. Express 10(12) 6340-6350 (2019)

Noninvasive glucose monitoring using mid-infrared absorption spectroscopy based on a few wavenumbers

Ryosuke Kasahara, Saiko Kino, Shunsuke Soyama, and Yuji Matsuura
Biomed. Opt. Express 9(1) 289-302 (2018)