Optimizing drying and storage for edible mushrooms: Study on gamma irradiation levels, drying temperatures, and packaging materials with SVM-based predictions

The control of dried product quality is crucial for preservation and marketability. In this study, the effects of gamma irradiation doses (0, 1.2, 2.4, and 3.6 kGy) and drying temperatures (50, 60, and 70 °C) on the drying rate, lightness (L∗), and texture firmness of mushroom slices were evaluated. In addition, dried samples were packaged in three materials: polyethylene, polypropylene, and a silicone nanoemulsion-based nanocomposite. After four months, the effect of packaging on L∗ and firmness were assessed. Higher irradiation doses and drying temperatures significantly (P < 0.01) enhanced drying rates, ranging from 0.39 g/g∙min for control samples at 50 °C to 0.95 g/g∙min for 3.6 kGy and 70 °C. Higher irradiation doses and lower temperatures yielded better L∗ values (74–78) and texture firmness (41–50 N). Packaging materials and drying conditions significantly affected (P < 0.01) texture firmness, while packaging showed no significant effect (P > 0.01) on L∗. The Support Vector Machine (SVM) algorithm accurately predicted change in L∗ and texture firmness after six months of storage, with the Pearson universal kernel producing the highest correlation coefficients (0.996, 1.000, and 1.000). This kernel outperformed the others in estimating parameter changes within the integrated SVM-based modeling framework. Overall, gamma irradiation effectively reduced drying time while maintaining product quality, presenting a viable alternative to expensive industrial drying. Nanocomposite packaging preserved the appearance characteristics of the dried mushrooms, and the SVM algorithm demonstrated strong potential for predicting quality changes prior to processing.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-05-08
DOI
https://doi.org/10.1016/j.csite.2025.106288
Citations
1
Primary Topic
Phytochemicals and Antioxidant Activities
Type
article
Field-Weighted Citation Impact
0.77
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article

Optimizing drying and storage for edible mushrooms: Study on gamma irradiation levels, drying temperatures, and packaging materials with SVM-based predictions

Soleiman Abbasi, K. Selvi, Mohammad Hadi Khoshtaghaza, Ehsan Fartash Naeimi et al.
1 citations
Case Studies in Thermal Engineering
Phytochemicals and Antioxidant Activities
0.77
article

Optimizing drying and storage for edible mushrooms: Study on gamma irradiation levels, drying temperatures, and packaging materials with SVM-based predictions

Soleiman Abbasi, K. Selvi, Mohammad Hadi Khoshtaghaza, Ehsan Fartash Naeimi, Mariana Ionescu
article en
1 citations

Abstract

The control of dried product quality is crucial for preservation and marketability. In this study, the effects of gamma irradiation doses (0, 1.2, 2.4, and 3.6 kGy) and drying temperatures (50, 60, and 70 °C) on the drying rate, lightness (L∗), and texture firmness of mushroom slices were evaluated. In addition, dried samples were packaged in three materials: polyethylene, polypropylene, and a silicone nanoemulsion-based nanocomposite. After four months, the effect of packaging on L∗ and firmness were assessed. Higher irradiation doses and drying temperatures significantly (P < 0.01) enhanced drying rates, ranging from 0.39 g/g∙min for control samples at 50 °C to 0.95 g/g∙min for 3.6 kGy and 70 °C. Higher irradiation doses and lower temperatures yielded better L∗ values (74–78) and texture firmness (41–50 N). Packaging materials and drying conditions significantly affected (P < 0.01) texture firmness, while packaging showed no significant effect (P > 0.01) on L∗. The Support Vector Machine (SVM) algorithm accurately predicted change in L∗ and texture firmness after six months of storage, with the Pearson universal kernel producing the highest correlation coefficients (0.996, 1.000, and 1.000). This kernel outperformed the others in estimating parameter changes within the integrated SVM-based modeling framework. Overall, gamma irradiation effectively reduced drying time while maintaining product quality, presenting a viable alternative to expensive industrial drying. Nanocomposite packaging preserved the appearance characteristics of the dried mushrooms, and the SVM algorithm demonstrated strong potential for predicting quality changes prior to processing.

Case Studies in Thermal EngineeringVol. 72
Tarbiat Modares University (IR), Ondokuz Mayıs University (TR), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 31%
Phytochemicals and Antioxidant Activities
0.77
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