Abstract
Pathogenic microorganism contamination of food and feed is a serious problem worldwide. The use of microorganism to preserve food and feed has gained importance in recent years due to the demand for the reduced use of chemical preservatives by consumers and the increasing number of microbial species resistant to antibiotics and preservatives. Lactic acid bacteria (LAB) not only produce various antimicrobial compounds that are considered important in the bio-preservation of food and feed and are both cost-effective and safe. At present, many pieces of data have shown that LAB, as a bio-preservative, can improve the quality of food and feed and prolong their shelf life. This review summarises these findings and demonstrates that LAB are promising biological agents for food and feed safety.
Acknowledgements
The financial support of TianJin Social Science Planning Program (No. TJGLWT11-08) is gratefully acknowledged.
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©2014 by Walter de Gruyter Berlin / Boston
Artikel in diesem Heft
- Frontmatter
- Review Article
- The Effect of Lactic Acid Bacteria in Food and Feed and Their Impact on Food Safety
- Research Articles
- Milk-Coagulating Extract Produced from Solanum aethiopicum Shum Fruits: Multivariate Techniques of Preparation, Thermal Stability and Effect on Milk Solids Recovery in Curd
- Optimal Removal of Experimental Points to Determine Apparent Thermal Diffusivity of Canned Products
- Mathematical Modelling of Heat Transfer in Mortadella Bologna PGI during Evaporative Pre-Cooling
- Preparation of Oxidized Starch Using Environment Friendly Chlorine Dioxide as Oxidant
- Assessment of Quality Attributes of Banana Slices Dried by Different Drying Methods
- Effects of High Hydrostatic Pressure Treated Mung Bean Starch on Characteristics of Batters and Crusts from Deep-Fried Pork Nuggets
- Exergy and Energy Analysis, Drying Kinetics and Mathematical Modeling of White Mulberry Drying Process
- Convective Drying of Apples: Kinetic Study, Evaluation of Mass Transfer Properties and Data Analysis using Artificial Neural Networks
- Identification of Eggshell Crack using BPNN and GANN in Dynamic Frequency Analysis
- Optimization of Osmotic Dehydration of Seedless Guava (Psidium guajava L.) in Sucrose Solution using Response Surface Methodology
- Effects of Screw Speed and Sesame Cake Level on Optimal Operation Conditions of Expanded Corn Grits Extrudates
- Evaluation and Optimization of Steam and Lye Peeling Processes of Sweet Potato (Ipomea batatas) using Response Surface Methodology (RSM)
- Physical Properties of Naked Oat Seeds (Avena nuda L.)
Artikel in diesem Heft
- Frontmatter
- Review Article
- The Effect of Lactic Acid Bacteria in Food and Feed and Their Impact on Food Safety
- Research Articles
- Milk-Coagulating Extract Produced from Solanum aethiopicum Shum Fruits: Multivariate Techniques of Preparation, Thermal Stability and Effect on Milk Solids Recovery in Curd
- Optimal Removal of Experimental Points to Determine Apparent Thermal Diffusivity of Canned Products
- Mathematical Modelling of Heat Transfer in Mortadella Bologna PGI during Evaporative Pre-Cooling
- Preparation of Oxidized Starch Using Environment Friendly Chlorine Dioxide as Oxidant
- Assessment of Quality Attributes of Banana Slices Dried by Different Drying Methods
- Effects of High Hydrostatic Pressure Treated Mung Bean Starch on Characteristics of Batters and Crusts from Deep-Fried Pork Nuggets
- Exergy and Energy Analysis, Drying Kinetics and Mathematical Modeling of White Mulberry Drying Process
- Convective Drying of Apples: Kinetic Study, Evaluation of Mass Transfer Properties and Data Analysis using Artificial Neural Networks
- Identification of Eggshell Crack using BPNN and GANN in Dynamic Frequency Analysis
- Optimization of Osmotic Dehydration of Seedless Guava (Psidium guajava L.) in Sucrose Solution using Response Surface Methodology
- Effects of Screw Speed and Sesame Cake Level on Optimal Operation Conditions of Expanded Corn Grits Extrudates
- Evaluation and Optimization of Steam and Lye Peeling Processes of Sweet Potato (Ipomea batatas) using Response Surface Methodology (RSM)
- Physical Properties of Naked Oat Seeds (Avena nuda L.)