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Potential of hyperspectral imaging for nondestructive determination of α-farnesene and conjugated trienol content in 'Yali' pear.

Authors :
Cheng H
Zhang Z
Cheng Y
Guan J
Source :
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2024 Nov 15; Vol. 321, pp. 124688. Date of Electronic Publication: 2024 Jun 19.
Publication Year :
2024

Abstract

The sesquiterpene α-farnesene and its corresponding oxidation products, namely conjugated trienols (CTols) is well known to be correlated with the development of superficial scald, a typical physiological disorder after a long term of cold storage in pear fruit. In this work, hyperspectral imaging (HSI) technology was used for nondestructive predicting of α-farnesene and CTols [CT258, CT281 and CT(281-290)] content in 'Yali' pear. In order to obtain the best performance of calibration model and simplify the calibration model further, various preprocessing methods together with their combinations and different wavelength selection algorithms, including successive projections algorithm (SPA), competitive adaptive reweighted sampling (CARS) and uninformative variable elimination (UVE), were investigated and compared based on linear partial least square regression (PLSR) and nonlinear least square support vector machine (LS-SVM) models, respectively. In conclusion, compared to the PLSR models, the results of LS-SVM models based on original and preprocessing methods performed better for the prediction of α-farnesene and CTols, while the performance of LS-SVM models based on the selected characteristic wavelengths were worse. For α-farnesene, the best result was obtained by LS-SVM model based on MSC-FD pretreatment with the RPD value of 2.6, R <subscript>p</subscript>  = 0.925 and RMSEP = 4.387 nmol cm <superscript>-2</superscript> . And for CTols, CT281 performed better compared with CT258 and CT(281-290), achieving the result with RPD = 2.4, R <subscript>p</subscript>  = 0.913 and RMSEP = 2.734 nmol cm <superscript>-2</superscript> based on LS-SVM model combined with SD pretreatment. The overall results illustrated HSI technology could be used for rapid and nondestructive prediction of α-farnesene and CTols in 'Yali' pear, which would be helpful for supporting postharvest decision systems.<br />Competing Interests: Declaration of competing interest 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.<br /> (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-3557
Volume :
321
Database :
MEDLINE
Journal :
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Publication Type :
Academic Journal
Accession number :
38941754
Full Text :
https://doi.org/10.1016/j.saa.2024.124688