کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5740077 1412156 2018 10 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
A model for the influences of soluble and insoluble solids, and treated volume on the ultraviolet-C resistance of heat-stressed Salmonella enterica in simulated fruit juices
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
A model for the influences of soluble and insoluble solids, and treated volume on the ultraviolet-C resistance of heat-stressed Salmonella enterica in simulated fruit juices
چکیده انگلیسی


- Logarithmic linear inactivation behavior was observed in all tested SFJ systems.
- DUV-C from SFJ systems determined by CCRD significantly fit into quadratic model.
- Individual factors, factor interactions and quadratic influences were observed.
- Model validation with unique SFJ systems showed acceptable predictive efficacy.

This study was conducted to determine the effects of intrinsic juice characteristics namely insoluble solids (IS, 0-3 %w/v), and soluble solids (SS, 0-70 °Brix), and extrinsic process parameter treated volume (250-1000 mL) on the UV-C inactivation rates of heat-stressed Salmonella enterica in simulated fruit juices (SFJs). A Rotatable Central Composite Design of Experiment (CCRD) was used to determine combinations of the test variables, while Response Surface Methodology (RSM) was used to characterize and quantify the influences of the test variables on microbial inactivation. The heat-stressed cells exhibited log-linear UV-C inactivation behavior (R2 0.952 to 0.999) in all CCRD combinations with DUV-C values ranging from 10.0 to 80.2 mJ/cm2. The DUV-C values obtained from the CCRD significantly fitted into a quadratic model (P < 0.0001). RSM results showed that individual linear (IS, SS, volume), individual quadratic (IS2 and volume2), and factor interactions (IS × volume and SS × volume) were found to significantly influence UV-C inactivation. Validation of the model in SFJs with combinations not included in the CCRD showed that the predictions were within acceptable error margins.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Microbiology - Volume 69, February 2018, Pages 72-81
نویسندگان
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