Abstract

A fast and accurate method for determining the sucrose content of sugar cane juice has been developed. The application of principal component regression (PCR) has been proposed for the development of a prediction equation of sucrose content by mid-infrared spectroscopy. An attenuated total reflectance (ATR) cell is used in place of the more familiar transmission cell. PCR involves two steps: (1) the creation of new synthetic variables by principal component analysis (PCA) of spectral data, and (2) multiple linear regression (MLR) with these new variables. Results obtained by this procedure have been compared with those obtained by the conventional application of polarization.

Dispersion effects on infrared spectra in attenuated total reflection

Rabah Belali, Jean-Marie Vigoureux, and Joseph Morvan
J. Opt. Soc. Am. B 12(12) 2377-2381 (1995)

Preparation and transmission characteristics of a mid-infrared attenuated total reflection hollow waveguide based on a stainless steel capillary tube

Xu Wang, Hong Guo, Lin Wang, Fangyu Yue, Chengbin Jing, and Junhao Chu
Appl. Opt. 55(23) 6404-6409 (2016)

Biocompatible spider silk-based metal-dielectric fiber optic sugar sensor

Hsuan-Pei E, Jelene Antonicole Ngan Kong, Wei-Chun Chen, Che-Chin Chen, Chia-Hsiung Cheng, and Cheng-Yang Liu
Biomed. Opt. Express 13(9) 4483-4493 (2022)

Theoretical determination of parameters for optimum surface specificity in overlayer attenuated-total-reflection infrared spectroscopy

John S. Loring and Donald P. Land
Appl. Opt. 37(16) 3515-3526 (1998)

Quantitative analysis of bayberry juice acidity based on visible and near-infrared spectroscopy

Yongni Shao, Yong He, and Jingyuan Mao
Appl. Opt. 46(25) 6391-6396 (2007)