Öffnen
Datum
2020-06-29Autor
Shrestha, LunaKulig, BorisMoscetti, RobertoMassantini, RiccardoPawelzik, ElkeHensel, OliverSturm, BarbaraSchlagwort
580 Pflanzen (Botanik) 620 Ingenieurwissenschaften ApfelverarbeitungCatecholoxidaseBilderzeugungBewertungLebensmittelqualitätMetadata
Zur Langanzeige
Aufsatz
Comparison between Hyperspectral Imaging and Chemical Analysis of Polyphenol Oxidase Activity on Fresh-Cut Apple Slices
Zusammenfassung
The assessment of the quality of fresh-cut apple slices is important for processing, storage, market value, and consumption. Determination of polyphenol oxidase activity (PPO) in apples is critical for controlling the quality of the final product (i.e., dried apples and juices). Hyperspectral imaging (HSI) is a nondestructive, noncontact, and rapid food quality assessment technique. It has the potential to detect physical and chemical quality attributes of foods such as PPO of apple. The aim of this study was to investigate the suitability of HSI in the visible and near-infrared (VIS-NIR) range for indirect assessment of PPO activity of fresh-cut apple slices. Apple slices of two cultivars (cv. Golden Delicious and Elstar) were used to build a robust detection algorithm, which is independent of cultivars and applied treatments. Partial least squares (PLS) regression using the 7-fold cross-validation method and method comparison analysis (Bland–Altman plot, Passing–Bablok regression, and Deming regression) were performed. The 95% confidence interval (CI) bands for the Bland–Altman analysis between the methods were −4.19 and 13.11, and the mean difference was 3.7e−12. The Passing–Bablok regression had a slope of 0.8 and an intercept of 7.6. The slope of the Deming regression was 0.8 within the CI bands of 0.56 and 1.10. These results show acceptable performance and no significant deviation from linearity. Hence, the results demonstrated the feasibility of HSI as an indirect alternative to the standard chemical analysis of PPO enzyme activity.
Zitierform
In: Journal of Spectroscopy Volume 2020 (2020-06-29) , S. 7012525 ; EISSN 2314-4939Förderhinweis
Gefördert durch den Publikationsfonds der Universität KasselZitieren
@article{doi:10.17170/kobra-202008051528,
author={Shrestha, Luna and Kulig, Boris and Moscetti, Roberto and Massantini, Riccardo and Pawelzik, Elke and Hensel, Oliver and Sturm, Barbara},
title={Comparison between Hyperspectral Imaging and Chemical Analysis of Polyphenol Oxidase Activity on Fresh-Cut Apple Slices},
journal={Journal of Spectroscopy},
year={2020}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2020$n2020 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/11670 3000 Shrestha, Luna 3010 Kulig, Boris 3010 Moscetti, Roberto 3010 Massantini, Riccardo 3010 Pawelzik, Elke 3010 Hensel, Oliver 3010 Sturm, Barbara 4000 Comparison between Hyperspectral Imaging and Chemical Analysis of Polyphenol Oxidase Activity on Fresh-Cut Apple Slices / Shrestha, Luna 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/11670=x R 4204 \$dAufsatz 4170 5550 {{Apfelverarbeitung}} 5550 {{Catecholoxidase}} 5550 {{Bilderzeugung}} 5550 {{Bewertung}} 5550 {{Lebensmittelqualität}} 7136 ##0##http://hdl.handle.net/123456789/11670
2020-08-05T14:12:34Z 2020-08-05T14:12:34Z 2020-06-29 doi:10.17170/kobra-202008051528 http://hdl.handle.net/123456789/11670 Gefördert durch den Publikationsfonds der Universität Kassel eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ 580 620 Comparison between Hyperspectral Imaging and Chemical Analysis of Polyphenol Oxidase Activity on Fresh-Cut Apple Slices Aufsatz The assessment of the quality of fresh-cut apple slices is important for processing, storage, market value, and consumption. Determination of polyphenol oxidase activity (PPO) in apples is critical for controlling the quality of the final product (i.e., dried apples and juices). Hyperspectral imaging (HSI) is a nondestructive, noncontact, and rapid food quality assessment technique. It has the potential to detect physical and chemical quality attributes of foods such as PPO of apple. The aim of this study was to investigate the suitability of HSI in the visible and near-infrared (VIS-NIR) range for indirect assessment of PPO activity of fresh-cut apple slices. Apple slices of two cultivars (cv. Golden Delicious and Elstar) were used to build a robust detection algorithm, which is independent of cultivars and applied treatments. Partial least squares (PLS) regression using the 7-fold cross-validation method and method comparison analysis (Bland–Altman plot, Passing–Bablok regression, and Deming regression) were performed. The 95% confidence interval (CI) bands for the Bland–Altman analysis between the methods were −4.19 and 13.11, and the mean difference was 3.7e−12. The Passing–Bablok regression had a slope of 0.8 and an intercept of 7.6. The slope of the Deming regression was 0.8 within the CI bands of 0.56 and 1.10. These results show acceptable performance and no significant deviation from linearity. Hence, the results demonstrated the feasibility of HSI as an indirect alternative to the standard chemical analysis of PPO enzyme activity. open access Shrestha, Luna Kulig, Boris Moscetti, Roberto Massantini, Riccardo Pawelzik, Elke Hensel, Oliver Sturm, Barbara doi:10.1155/2020/7012525 Apfelverarbeitung Catecholoxidase Bilderzeugung Bewertung Lebensmittelqualität publishedVersion EISSN 2314-4939 Journal of Spectroscopy 7012525 Volume 2020 false
Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden: