Shelf life predictive model for postharvest shiitake mushrooms

Li, Yanjie; Ding, Shudong; Wang, Yanxin

doi:10.1016/j.jfoodeng.2022.111099

Cited by 21 publications

(6 citation statements)

References 32 publications

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“…Zhao et al (2022) melaporkan bahwa perubahan susut bobot produk segar dapat dianalisa dan diprediksi dengan menggunakan persamaan kinetika dan Arrhenius. Li et al (2022) juga melaporkan bahwa perubahan tekstur, kadar air, dan susut bobot dapat dianalisa dengan menggunakan persamaan kinetika dan Arrhenius. Penelitian dengan dua variasi perlakuan dapat dianalisa lebih lanjut dengan menggunakan analisis regresi polinomial orde kedua.…”

Section: Pendahuluan Latar Belakangunclassified

ANALISIS MATEMATIS PERUBAHAN KUALITAS KOLANG-KALING (Arenga pinnata) PADA PENYIMPANAN MODIFIED ATMOSPHERE PACKAGING (MAP)

Fatharani

Bintoro

Saputro

2023

JRPB

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Kolang-kaling merupakan produk minimally processed yang masih akan terus menunjukkan perubahan kualitas selama penyimpanan. Produk ini memiliki transpirasi yang tinggi sehingga cepat menunjukkan tanda-tanda kerusakan produk, seperti tekstur, kadar air, dan susut bobot. Diperlukan inovasi penyimpanan untuk memperlambat kerusakan produk, salah satunya adalah Modified Atmosphere Packaging (MAP). Tujuan dari penelitian ini adalah melakukan analisis matematis dan memodelkan perubahan kualitas tekstur, kadar air, dan susut bobot selama penyimpanan dengan variasi perlakuan suhu ruang penyimpanan dan ketebalan kemasan MAP kolang-kaling selama penyimpanan. Variasi perlakuan yang digunakan adalah suhu ruang penyimpanan 5, 15, dan 28℃ dan ketebalan kemasan 30, 50, dan 80µm. Pengukuran tekstur, kadar air, dan susut bobot masing-masing dilakukan dengan menggunakan texture analyzer, oven, dan timbangan digital. Perubahan tekstur, kadar air, dan susut bobot kolang-kaling selama penyimpanan pada sistem MAP dianalisa dengan menggunakan persamaan kinetika dan dimodelkan dengan menggunakan Persamaan Arrhenius dan regresi polinomial orde kedua. Pada analisis kinetika, didapatkan orde untuk setiap parameter perubahan kualitas tekstur, kadar air, dan susut bobot masing-masing adalah orde kedua, pertama, dan nol. Persamaan Arrhenius dan regresi polinomial orde kedua dapat digunakan untuk memodelkan perubahan tekstur, kadar air, dan susut bobot kolang-kaling selama penyimpanan pada sistem MAP dengan rerata nilai R² masing-masing sebesar 0,9164 dan 0,9160. Kedua persamaan tersebut dapat digunakan untuk penyimpanan kolang-kaling pada sistem MAP dengan rentang suhu ruang penyimpanan 5-28℃ dan ketebalan kemasan 30-80µm.

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Section: Pendahuluan Latar Belakangunclassified

ANALISIS MATEMATIS PERUBAHAN KUALITAS KOLANG-KALING (Arenga pinnata) PADA PENYIMPANAN MODIFIED ATMOSPHERE PACKAGING (MAP)

Fatharani

Bintoro

Saputro

2023

JRPB

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“…This methodology is briefly described in Figure 1. Thenceforth, shelf-life methodologies that use PCA proved to be efficient in identifying and selecting attributes that directly influence food degradation [11,[17][18][19][20][21][22][23][24][25][26][27].…”

Section: Principal Components Analysis (Pca)mentioning

confidence: 99%

“…OPLS-DA has emerged as a valuable technique in shelf-life studies, particularly for identifying significant patterns under various storage and processing conditions. Thenceforth, shelf-life methodologies that use PCA proved to be efficient in identifying and selecting attributes that directly influence food degradation [11,[17][18][19][20][21][22][23][24][25][26][27].…”

Section: Orthogonal Projections To Latent Structures-discriminant Ana...mentioning

confidence: 99%

Multivariate Analysis in Accelerated Shelf-Life Assessment—An Overview

Lima,

Pereira,

Pintado

et al. 2023

The 4th International Electronic Conference on Applied Sciences

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“…The Arrhenius model is the most widely used equation for describing the kinetics of quality change with temperature. The combination of a kinetic model based on the reaction order (e.g., zeroth-, first-, and second-order) and the Arrhenius model has previously been applied for shelf-life prediction (Li et al, 2022a). Among the parameters, cellulose and PC1 scores showed an acceptable fit (R 2 >0.8).…”

Section: Kinetic Analysis and Accelerated Shelf-life Testing For Shel...mentioning

confidence: 99%

“…Accelerated shelf-life testing (ASLT) has been widely used to estimate the shelf-life of food. ASLT is usually performed using the Arrhenius equation, which describes the relationship between temperature and reaction rate during storage (Li et al, 2022a;Zhao et al, 2022). However, the results of ASLT may differ based on the quality attributes selected, since it involves only one quality attribute.…”

Section: Introductionmentioning

confidence: 99%

Shelf-life prediction of fresh ginseng packaged with plastic films based on a kinetic model and multivariate accelerated shelf-life testing

Park,

Choi,

Park

et al. 2023

Korean J. Food Preserv.

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The purpose of this study was to monitor changes in the quality of ginseng and predict its shelf-life. As the storage period of ginseng increased, some quality indicators, such as water-soluble pectin (WSP), CDTA-soluble pectin (CSP), cellulose, weight loss, and microbial growth increased, while others (Na2CO3-soluble pectin/NSP, hemicellulose, starch, and firmness) decreased. Principal component analysis (PCA) was performed using the quality attribute data and the principal component 1 (PC1) scores extracted from the PCA results were applied to the multivariate analysis. The reaction rate at different temperatures and the temperature dependence of the reaction rate were determined using kinetic and Arrhenius models, respectively. Among the kinetic models, zeroth-order models with cellulose and a PC1 score provided an adequate fit for reaction rate estimation. Hence, the prediction model was constructed by applying the cellulose and PC1 scores to the zeroth-order kinetic and Arrhenius models. The prediction model with PC1 score showed higher R2 values (0.877-0.919) than those of cellulose (0.797-0.863), indicating that multivariate analysis using PC1 score is more accurate for the shelf-life prediction of ginseng. The predicted shelf-life using the multivariate accelerated shelf-life test at 5, 20, and 35°C was 40, 16, and 7 days, respectively.

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Shelf life predictive model for postharvest shiitake mushrooms

Cited by 21 publications

References 32 publications

ANALISIS MATEMATIS PERUBAHAN KUALITAS KOLANG-KALING (Arenga pinnata) PADA PENYIMPANAN MODIFIED ATMOSPHERE PACKAGING (MAP)

ANALISIS MATEMATIS PERUBAHAN KUALITAS KOLANG-KALING (Arenga pinnata) PADA PENYIMPANAN MODIFIED ATMOSPHERE PACKAGING (MAP)

Multivariate Analysis in Accelerated Shelf-Life Assessment—An Overview

Shelf-life prediction of fresh ginseng packaged with plastic films based on a kinetic model and multivariate accelerated shelf-life testing

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