Monitoring and modelling of physicochemical properties of papaya chips during vacuum frying to control their sensory attributes and nutritional value

Soto, Marvin; Pérez, Ana Mercedes; Servent, Adrien; Vaillant, Fabrice; Achir, Nawel

doi:10.1016/j.jfoodeng.2021.110514

Cited by 11 publications

(6 citation statements)

References 43 publications

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“…TSS was related to the total content of accumulated sugarsmainly sucrose. 34 The results indicated that pH values significantly increased from day 0 and were maintained at 4.74 ± 0.05 at the end of the storage period. The results were comparatively within the same range of pH values reported for other varieties, namely the Maradol papayas, 9 Sel-42 and Tainung papayas.…”

Section: Resultsmentioning

confidence: 89%

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Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

et al. 2021

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BACKGROUND: Evaluation of the quality properties of papaya becomes essential due to the acceleration of the fruit shelf-life senescence and the deterioration factor of the expected postharvest operations. In this study, the colour features in RGB, normalised RGB, HSV and L*a*b* channels were extracted and correlated with mechanical properties, moisture content (MC), total soluble solids (TSS) and pH for the prediction of quality properties at five ripening stages of papaya (R1-R5). RESULTS: The mean values of colour features in RGBwere the best estimator for predicting TSS with R 2 ≥ 0.90. All colour channels also showed satisfactory accuracies of R 2 ≥ 0.80 in predicting the bioyield force, apparent modulus and mean force. The highest average classification accuracy was obtained using linear discriminant analysis (LDA) with an average accuracy of more than 82%. The study showed that LDA, linear support vector machine, quadratic discriminant analysis and quadratic support vector machine obtained the correct classification of up to 100% for R5, whereas R1, R2, R3 and R4 gave classification accuracies in the range 83. 75-91.85%, 85.6-90.25%, 85.75-90.85% and 77.35-87.15%, respectively. This indicates that R5 colour information was obviously different from R1-R4. The mean values of the HSV channel indicated the best performance to predict the ripening stages of papaya, compared to RGB, normalised RGB and L*a*b* channels, with an average classification accuracy of more than 80%. CONCLUSION:The study has shown the versatility of a machine vision system in predicting the quality changes in papaya. The results showed that the machine vision system can be used to predict the ripening stages as well as classifying the fruits into different ripening stages of papayas.

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Section: Resultsmentioning

confidence: 89%

“…The results agreed with previous studies for Solo papaya 32 and Tainung papaya, 33 respectively. TSS was related to the total content of accumulated sugars – mainly sucrose 34 . The results indicated that pH values significantly increased from day 0 and were maintained at 4.74 ± 0.05 at the end of the storage period.…”

Section: Resultsmentioning

confidence: 97%

Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

et al. 2021

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“…Heat evaporated the water moisture of squid parts. Additionally, water loss depends not only on process conditions (for example, frying time), but also on physical factors associated with the food properties (such as its shape and thickness) (Soto et al., 2021).…”

Section: Resultsmentioning

confidence: 99%

Effect of vacuum frying and atmospheric frying on the quality and protein oxidation of squid (Loligo chinensis)

Pei

Wen

et al. 2021

Journal of Food Science

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Squid are commercial marine species that have high nutritional value. This study aimed to compare the influences of vacuum frying and atmospheric frying on the physicochemical properties and protein oxidation of three main parts (ring, tentacle, and fin) of the squid Loligo chinensis. The results showed that the vacuum-fried (VF) group had lower moisture and total fat contents and looser microstructures than the atmospheric-fried (AF) group. The amino acid contents and molecular weight revealed that the proteins were well preserved during vacuum frying. Carbonyl content in the VF ring, tentacle, and fin samples increased nearly 2.53-, 1.54-, and 2.56-fold, respectively, compared to that in the corresponding fresh group, but these increases were lower than those of the corresponding AF group. In addition, the secondary structures of proteins revealed a slight decrease in the α-helix and β-turn contents and a significant increase in the β-sheet content during vacuum frying. Therefore, vacuum frying can be used as an efficient processing method to conserve the high nutritive quality of the product. Practical Application: As a developing alternative technology to prepare healthier fried products, vacuum frying has been the focus of recent researches. Vacuum frying produced squid products that had lower TBARS values, carbonyl contents, and Schiff base substances compared to atmospheric frying. And the protein secondary structures of the vacuum-fried group retained better. The study proved that vacuum frying could be an effective method with the advantages of high protein stability and product quality.

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“…Carotenoids were analysed by an Agilent 1100HPLC-DAD system (Massy, France). Carotenoids were extracted and separated using a C30 column (150 mm × 4.6 mm i.d., 3 µm) (YMC EUROP GmbH, Dinslaken, Germany) as detailed recently by [ 27 ]. Total carotenoids was expressed in equivalent All-E-β-carotene and pro-vitamin A as mcg retinol activity equivalent (RAE) taking a bioconversion ratio of 12:1 for all-E-β-carotene.…”

Section: Methodsmentioning

confidence: 99%

Plasma Metabolome Profiling by High-Performance Chemical Isotope-Labelling LC-MS after Acute and Medium-Term Intervention with Golden Berry Fruit (Physalis peruviana L.), Confirming Its Impact on Insulin-Associated Signaling Pathways

et al. 2021

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Purpose: Golden berry (Physalis peruviana L.) is an exotic fruit exported from Colombia to different countries around the world. A review of the literature tends to demonstrate a hypoglycaemic effect with an improvement in insulin sensitivity after oral ingestion of fruit extracts in animal models. However, little is known about their potential effects in humans, and very little is known about the mechanisms involved. This study aimed at identifying discriminant metabolites after acute and chronic intake of golden berry. Method: An untargeted metabolomics strategy using high-performance chemical isotope-labelling LC-MS was applied. The blood samples of eighteen healthy adults were analysed at baseline, at 6 h after the intake of 250 g of golden berry (acute intervention), and after 19 days of daily consumption of 150 g (medium-term intervention). Results: Forty-nine and 36 discriminant metabolites were identified with high confidence, respectively, after the acute and medium-term interventions. Taking into account up- and downregulated metabolites, three biological networks mainly involving insulin, epidermal growth factor receptor (EGFR), and the phosphatidylinositol 3-kinase pathway (PI3K/Akt/mTOR) were identified. Conclusions: The biological intracellular networks identified are highly interconnected with the insulin signalling pathway, showing that berry intake may be associated with insulin signalling, which could reduce some risk factors related to metabolic syndrome. Primary registry of WHO.

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Monitoring and modelling of physicochemical properties of papaya chips during vacuum frying to control their sensory attributes and nutritional value

Cited by 11 publications

References 43 publications

Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

Effect of vacuum frying and atmospheric frying on the quality and protein oxidation of squid (Loligo chinensis)

Plasma Metabolome Profiling by High-Performance Chemical Isotope-Labelling LC-MS after Acute and Medium-Term Intervention with Golden Berry Fruit (Physalis peruviana L.), Confirming Its Impact on Insulin-Associated Signaling Pathways

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