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Dietary Lycopene: Its Properties and Anticarcinogenic Effects.
- Preeti Singh, G. K. Goyal
- Medicine, Biology
- Comprehensive reviews in food science and food…
- 1 June 2008
This review outlines the background information dealing with lycopene and presents the most comprehensive and current understanding of its potential functional role in human health. Expand
Effect of Modified Atmosphere Packaging (MAP) and Storage on the Chemical Quality of Paneer
Traditional food packaging protects food from external contamination, oxygen, water vapour and light. However, newer packaging technologies such as Modified Atmosphere Packaging (MAP) do more than… Expand
Shelf-Life Extension of Fresh Ready-to-Bake Pizza by the Application of Modified Atmosphere Packaging
Combined effects of modified atmosphere packaging (MAP) and refrigeration (7±1 °C) were studied on shelf-life extension of ready-to-bake pizza. The gas atmospheres in the present study included four… Expand
Radial Basis (Exact Fit) Artificial Neural Network Technique for Estimating Shelf Life of Burfi
High correlation was found between training and validation data, indicating that the developed Radial basis (exact fit) ANN models are good for estimating the shelf life of burfi. Expand
Time - Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese
Time-Delay ANN models with multilayer are quite efficient in predicting the shelf life of processed cheese stored at 78 o C. Expand
Time-delay single layer artificial neural network models for estimating shelf life of burfi
Time-delay single layer artificial neural network models were developed for estimating the shelf life of burfi stored at 30oC. Input variables for the models were moisture, titratable acidity, free… Expand
Combined Effect of Refrigeration and Modified Atmosphere Packaging on the Shelf Life of Ready-to-Serve Pizza: Biochemical and Sensory Attributes
Shelflife prediction of processed cheese using artificial intelligence ANN technique.
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared for predicting the shelf life of processed cheese stored at 30o C. Soluble nitrogen, pH, Standard… Expand