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Review
. 2024 May 7:22:101449.
doi: 10.1016/j.fochx.2024.101449. eCollection 2024 Jun 30.

NIR sensors combined with chemometric algorithms in intelligent quality evaluation of sweetpotato roots from 'Farm' to 'Table': Progresses, challenges, trends, and prospects

Yuling Wang  1 , Longzhu Xing  2 , Hong-Ju He  2 , Jie Zhang  3 , Kit Wayne Chew  4 , Xingqi Ou  1
Affiliations
Review

NIR sensors combined with chemometric algorithms in intelligent quality evaluation of sweetpotato roots from 'Farm' to 'Table': Progresses, challenges, trends, and prospects

Yuling Wang et al. Food Chem X. .

Abstract

NIR sensors, in conjunction with advanced chemometric algorithms, have proven to be a powerful and efficient tool for intelligent quality evaluation of sweetpotato roots throughout the entire supply chain. By leveraging NIR data in different wavelength ranges, the physicochemical, nutritional and antioxidant compositions, as well as variety classification of sweetpotato roots during the different stages were adequately evaluated, and all findings involving quantitative and qualitative investigations from the beginning to the present were summarized and analyzed comprehensively. All chemometric algorithms including both linear and nonlinear employed in NIR analysis of sweetpotato roots were introduced in detail and their calibration performances in terms of regression and classification were assessed and discussed. The challenges and limitations of current NIR application in quality evaluation of sweetpotato roots are emphasized. The prospects and trends covering the ongoing advancements in software and hardware are suggested to support the sustainable and efficient sweetpotato processing and utilization.

Keywords: Algorithm; Assessment; NIR; Quality; Sweetpotato roots.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Statistics of sweetpotato production in different parts of the world from the year 1961–2022, and 2022, respectively.
Fig. 2
Fig. 2
Graphical exhibition of quality indexes of sweetpotato at different production stages.
Fig. 3
Fig. 3
Diagram of summarized overstones and combinations of fundamental vibrations of chemical bonds in NIR region (Harris & Altaner, 2013).
Fig. 4a
Fig. 4a
Sketch of a typical NIR system containing main components.
Fig. 4b
Fig. 4b
Flow chart of NIR analysis procedures.
Fig. 5
Fig. 5
Summary diagram of chemometric algorithms in NIR analysis of sweetpotato roots.
Fig. 6a
Fig. 6a
Challenges and limitations associated with NIR application for sweetpotato root quality evaluation.
Fig. 6b
Fig. 6b
Prospects and trends associated with NIR application for sweetpotato root quality evaluation.
See this image and copyright information in PMC

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