Abstract

The objective of this study was to use near infrared spectroscopy to determine the moisture and fat content, color properties and maximum force of break of deep-fried taro chips as a rapid and non-destructive technique. Near infrared spectra were recorded on intact taro chips in the wavelength range of 1100–2500 nm collected using a near infrared spectrometer, followed by quality attribute measurements. The near infrared calibration models were developed individually using partial least square regression. The partial least square calibration models were found to have coefficients of determination (R²) between 0.85 and 0.97 and for independent samples the ratio of prediction to deviation ranged from 2.0 to 4.9. The results indicated that near infrared spectroscopy offers a fast, simple, accurate and nondestructive method to determine the quality of intact, deep-fried taro chips. Therefore, it can be used in-line or at-line for the quality control of the deep-fried process and for better monitoring of changes in the chemical and physical properties of fried products during processing.

© 2017 The Author(s)

Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model

Lili Xu, Jinming Liu, Chunqi Wang, Zhijiang Li, and Dongjie Zhang
Appl. Opt. 62(11) 2756-2765 (2023)

Nondestructive determination of SSC in an apple by using a portable near-infrared spectroscopy system

Yizhe Zhang, Jipeng Huang, Qiulei Zhang, Jinwei Liu, Yanli Meng, and Yan Yu
Appl. Opt. 61(12) 3419-3428 (2022)

Nondestructive quantification of the soluble-solids content and the available acidity of apples by Fourier-transform near-infrared spectroscopy

Yibin Ying, Yande Liu, and Yang Tao
Appl. Opt. 44(25) 5224-5229 (2005)

Nondestructive detection model of soluble solids content of an apple using visible/near-infrared spectroscopy combined with CARS and MPGA

Yong Chen, Chaoyuan Cui, and Yun Wu
Appl. Opt. 60(27) 8400-8407 (2021)

Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA

Jinming Liu, Nan Li, Feng Zhen, Yonghua Xu, Wenzhe Li, and Yong Sun
Appl. Opt. 58(18) 5090-5097 (2019)