LAPSE:2023.36901
Published Article
LAPSE:2023.36901
Vacuum-Packed Pork Sausages with Modified Casing Added with Orange Peel Extracts: Evaluating In Vitro Antioxidant Activity via Hyperspectral Imaging Coupled with Chemometrics
November 30, 2023
The antioxidant activities (in vitro) of vacuum-packaged dry-cured sausages stored for 1 year, which were treated with varying concentrations of extracts from orange peel (EFOP) in a modification solution, were evaluated using a central composite design. The individual variables: soy lecithin concentration, soy oil concentration, treated time, lactic acid addition, EFOP addition, and dependent variable [i.e., in vitro antioxidant activity] were analyzed by response surface methodology. Among the 32 treatment combinations, treatment 26 (central point) exhibited a higher 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity compared to the control group (natural hog casing without modification). Spectral pre-treatments were applied to enhance the robustness of the model, and a partial least squares regression model (PLSRM) was fitted. The results of the response surface methodology indicated that the interactive effects of a high [soy lecithin concentration] × a high [EFOP addition] yielded a DPPH assay result of over 35%. The determination coefficients (R2 value) of the second-order polynomial model for the simultaneous effects on in vitro antioxidant activity reached 65.28%. The PLSRM developed using average reflectance data after the first derivation pre-treatment demonstrated a higher R2 value in the calibration group compared to the untreated data. The first principal component accounted for 77.39% of the overall attributes and effectively differentiated the sausages’ antioxidant activity from 31.88%.
Keywords
DPPH, flavonoids, multivariate analysis, natural casing, orange wastes
Suggested Citation
Feng CH. Vacuum-Packed Pork Sausages with Modified Casing Added with Orange Peel Extracts: Evaluating In Vitro Antioxidant Activity via Hyperspectral Imaging Coupled with Chemometrics. (2023). LAPSE:2023.36901
Author Affiliations
Feng CH: School of Regional Innovation and Social Design Engineering, Faculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-8507, Hokkaido, Japan; RIKEN Centre for Advanced Photonics, RIKEN, 519-1399 Aramaki-Aoba, Aoba-ku, Sendai 980-084 [ORCID]
Journal Name
Processes
Volume
11
Issue
9
First Page
2583
Year
2023
Publication Date
2023-08-29
Published Version
ISSN
2227-9717
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Original Submission
Other Meta
PII: pr11092583, Publication Type: Journal Article
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LAPSE:2023.36901
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doi:10.3390/pr11092583
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Nov 30, 2023
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CC BY 4.0
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Nov 30, 2023
 
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Nov 30, 2023
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Original Submitter
Calvin Tsay
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