Issue 31, 2023

Effect of potato peel on the determination of soluble solid content by visible near-infrared spectroscopy and model optimization

Abstract

The quantitative determination of the soluble solid content (SSC) of potatoes using NIR spectroscopy is useful for predicting the internal and external quality of potato products, especially fried products. In this study, the effect of peel on the partial least squares regression (PLSR) quantitative prediction of potato SSC was investigated by transmission and reflection. The results show that the variable sorting for normalization (VSN) pre-processing method improved model accuracy. Additive multiplicative scattering effects and intensity drift interference of the peels were reduced. The model accuracy reached a correlation coefficient of prediction (RP) of 0.85. The selection algorithm using variable combination population analysis and iterative retention of information variables (VCPA-IRIV) demonstrated that peel increases unnecessary information. When the effect of irrelevant variables was reduced, the results reached RP = 0.88 and the root mean square error of prediction (RMSEP) = 0.25 in the transmission mode was close to that of the full-wavelength peeled PLSR model (RP = 0.89 and RMSEP = 0.25). This indicates that the use of the combined algorithm (VSN-VCPA-IRIV) reduces the effect of the peel and enables samples with a peel to still be predicted accurately in the full-wavelength model. It also improves detection efficiency through the extraction of the necessary variables and optimizes the stability and accuracy of the model.

Graphical abstract: Effect of potato peel on the determination of soluble solid content by visible near-infrared spectroscopy and model optimization

Article information

Article type
Paper
Submitted
16 May 2023
Accepted
15 Jul 2023
First published
27 Jul 2023

Anal. Methods, 2023,15, 3854-3862

Effect of potato peel on the determination of soluble solid content by visible near-infrared spectroscopy and model optimization

Y. Wang, M. Han, Y. Xu, X. Wang, M. Cheng, Y. Cui, Z. Xiao and J. Qu, Anal. Methods, 2023, 15, 3854 DOI: 10.1039/D3AY00774J

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements