Journal•ISSN: 0148-6187
The Beverage Industry
BNP Media
About: The Beverage Industry is an academic journal. The journal publishes majorly in the area(s): Extraction (chemistry) & Fermentation. It has an ISSN identifier of 0148-6187. Over the lifetime, 67 publications have been published receiving 78 citations.
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Journal Article•
TL;DR: In this paper, the evolution and current situation of hydrogen peroxide sterilization in aseptic packaging systems are reviewed, including the selection and resistance of tested microorganisms in sterilization systems using hydrogen Peroxide, the evaluation of related sterilisation systems and the research on required count reduction in packaging material sterilization.
Abstract: The evolution and current situation of hydrogen peroxide sterilization in aseptic packaging systems are reviewed,including the selection and resistance of tested microorganisms in sterilization systems using hydrogen peroxide,the evaluation of related sterilization systems and the research on required count reduction in packaging material sterilization,with a view of providing some references for the evaluation of aseptic packaging systems.
3 citations
Journal Article•
TL;DR: The analysis model of artificial customer's beverage taste was sets up based upon the principle of fuzzy mathematics and the method of neural network and the error tested with real data, which proved that the model was feasible.
Abstract: The analysis model of artificial customer's beverage taste was sets up based upon the principle of fuzzy mathematics and the method of neural network. In order to make it convenient for common readers to use, the realization route and method in MATLAB Software Package was explained. The network was trained and the error tested with real data, which proved that the model was feasible.,
2 citations
Journal Article•
TL;DR: The application of ANN to the beverage industry is summarized, including the classification and grading of raw materials, the design of formulas, sensory evaluation and prediction, quality identification and packaging.
Abstract: Having the unique ability of processing data non-linearly and adaptively, Artificial Neural Network (ANN) is widely used in the chemical industry, communication, etc. In the paper, the application of ANN to the beverage industry is summarized, including the classification and grading of raw materials, the design of formulas, sensory evaluation and prediction, quality identification and packaging.
2 citations
Journal Article•
TL;DR: In this article, a pre-column derivation RP-HPLC was used for determining hydroxyproline (Hyp) in milk powder and other dairy products, and good linearity was observed within the range from 0 to 2.05 mmol/L (r=0.99991).
Abstract: The method of determining hydroxyproline (Hyp) in milk powder and other dairy products was developed by pre-column derivation RP-HPLC. After acid hydrolysis,Hyp in samples was derived with AQC. A gradient elution was used to separate Hyp from other 18 amino acids by symmetry C18 column. And Hyp was determined with PDA detector at 248.0 nm. The mobile phase was phosphate buffered solution-water-acetonitrile. Good linearity was observed within the range from 0 to 2.05 mmol/L(r=0.99991). The recoveries were 95.1-101%,and the reproducibility(n=7)was 1.3%. The method was simple,steady, sensitive and accurate.
2 citations
Journal Article•
TL;DR: In this article, the effects of different homogenization conditions (stages, pressure, times) on the stability of microencapsulated lipid lotion are studied with particle size distribution as the analysis index.
Abstract: The effects of different homogenization conditions (stages, pressure, times) on the stability of microencapsulated lipid lotion are studied with particle size distribution as the analysis index, with a view of providing some references for the preparation of microencapsulated lipid lotion.
2 citations