scholarly journals Shelf-life prediction of strawberry at different temperatures during storage using kinetic analysis and model development

2018 ◽  
Vol 42 (8) ◽  
pp. e13693
Author(s):  
Wenjun Wang ◽  
Weixin Hu ◽  
Tian Ding ◽  
Xingqian Ye ◽  
Donghong Liu
Keyword(s):  
Shelf Life ◽  
Kinetic Analysis ◽  
Life Prediction ◽  
Model Development ◽  
Shelf Life Prediction ◽  
Different Temperatures

Quality changes and shelf life prediction of cooked cured ham stored at different temperatures

2021 ◽  
Author(s):  
Miao Ran ◽  
Laping He ◽  
Cuiqin Li ◽  
Qiujin Zhu ◽  
Xuefeng Zeng
Keyword(s):  
Shelf Life ◽  
Life Prediction ◽  
Storage Temperature ◽  
Back Propagation ◽  
Plate Count ◽  
Quality Changes ◽  
Ann Model ◽  
Shelf Life Prediction ◽  
Different Temperatures ◽  
Aerobic Plate Count

Cooked cured ham is a ready-to-eat food that is popular among consumers. Stored temperature has a key effect on the quality and shelf life of ham. In this work, the quality changes and shelf life prediction of cooked cured ham stored at different temperatures were investigated. Sensory evaluation, physical and chemical indicators, and aerobic plate count were determined. Results showed that high storage temperature of cooked ham accelerates quality deterioration. Partial least squares (PLS) regression analysis based on the variable importance for projection (VIP) identified nine important variables for predicting the shelf life of cooked cured ham. Compared with either PLS or back-propagation artificial neural network (BP-ANN), the hybrid PLS–BP-ANN model better predicts the shelf life of cooked cured ham using the nine important variables. This study provides a theoretical basis and data support for the quality control of cooked cured ham and a new idea for research on the shelf life prediction of cooked cured ham.

scholarly journals Shelf life prediction of carica seeds powder using accelerated method

2021 ◽  
Vol 653 (1) ◽  
pp. 012055
Author(s):  
S D Astuti ◽  
S Lestari ◽  
Erminawati ◽  
S Widarni ◽  
G Wijanarko ◽  
...  
Keyword(s):  
Shelf Life ◽  
Life Prediction ◽  
Shelf Life Prediction

Optimized Rules-Based Non-Destructive Monitoring System for Chilled Chicken Quality Evaluation and Shelf Life Prediction

2021 ◽  
Author(s):  
Jinchao Xu ◽  
Xue Liu ◽  
Stevan Stankovski ◽  
Ruiqin Ma ◽  
Xiaoshuan Zhang ◽  
...  
Keyword(s):  
Shelf Life ◽  
Monitoring System ◽  
Life Prediction ◽  
Quality Evaluation ◽  
Shelf Life Prediction ◽  
Non Destructive

E-nose for Shelf-Life Prediction of Climacteric Fruits

2021 ◽  
Author(s):  
Sunil Karamchandani ◽  
Bhavya Sekhani ◽  
Kartik Nair ◽  
Krina Shah
Keyword(s):  
Shelf Life ◽  
Life Prediction ◽  
Shelf Life Prediction

Shelf-life prediction from induction period calorimetric measurements on materials undergoing autocatalytic decomposition

1990 ◽  
Vol 68 (11) ◽  
pp. 2111-2114 ◽  
Author(s):  
Lee D. Hansen ◽  
Delbert J. Eatough ◽  
Edwin A. Lewis ◽  
Robert G. Bergstrom ◽  
Damaris Degraft-Johnson ◽  
...  
Keyword(s):  
Shelf Life ◽  
Induction Period ◽  
Heat Generation ◽  
Life Prediction ◽  
Autocatalytic Reaction ◽  
Calorimetric Measurement ◽  
Autocatalytic Decomposition ◽  
Calorimetric Measurements ◽  
Shelf Life Prediction ◽  
Degradation Reaction

The shelf- or use-life of a material which decomposes by an autocatalytic reaction is shown to be inversely proportional to the rate of heat generation during the induction period of the degradation reaction. Calorimetric measurement of the rate of heat generation during the induction period takes only a few hours. It can often be done at or very near the actual storage or use temperature of the material. Measurements on Lovastatin (2-methylbutanoic acid 1,2,3,7,8,8a-hexahydro-3,7-dimethyl-8-[2-(tetrahydro-4-hydroxy-6-oxo-2H-pyran-2-yl)ethyl]-1-naphthalenylester) are used as an example of this application. Keywords: autocatalytic, calorimetry, oxidation, decomposition, Lovastatin, Mevacor.

scholarly journals Erratum to: Quality Changes and Shelf-Life Prediction of a Fresh Fruit and Vegetable Purple Smoothie

2017 ◽  
Vol 10 (10) ◽  
pp. 1905-1906
Author(s):  
Gerardo A. González-Tejedor ◽  
Ginés Benito Martínez-Hernández ◽  
Alberto Garre ◽  
Jose A. Egea ◽  
Pablo S. Fernández ◽  
...  
Keyword(s):  
Shelf Life ◽  
Life Prediction ◽  
Fresh Fruit ◽  
Quality Changes ◽  
Fruit And Vegetable ◽  
Shelf Life Prediction
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