Abstract

The feasibility of near infrared (NIR) reflectance spectroscopy to estimate the chemical composition of dehydrated sugar beet pulp was examined in the present study. Seventy-three samples from different processing plants were analysed for dry matter (DM), crude protein (CP), neutral detergent fibre (NDF) and soluble (NDSF) fibre, according to the conventional chemical methods. The parameters predicted by NIR spectroscopy with the highest accuracy were DM (R² = 0.97; SECV= 5.69 g kg⁻¹ FM) and CP (R² = 0.90; SECV = 3.81 g kg⁻¹ DM) content. Furthermore, it was demonstrated that NIR technology can be used to discriminate samples of sugar beet pulp manufactured by different chemical procedures.

© 2008 IM Publications LLP

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)

Investigation of aqueous alcohol and sugar solutions with reflection terahertz time-domain spectroscopy

Peter Uhd Jepsen, Uffe Møller, and Hannes Merbold
Opt. Express 15(22) 14717-14737 (2007)

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)

Combination of near-infrared spectroscopy with Wasserstein generative adversarial networks for rapidly detecting raw material quality for formula products

Xiaowei Xin, Junhua Jia, Shunpeng Pang, Ruotong Hu, Huili Gong, Xiaoyan Gao, and Xiangqian Ding
Opt. Express 32(4) 5529-5549 (2024)

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)