Accuracy of microbial growth predictions with square root and polynomial models
作者： ML Delignette-Muller , L Rosso , JP Flandrois
DOI: 10.1016/0168-1605(94)00158-3
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摘要: The results of growth predictions using square root and polynomial models published in 14 papers were studied. Errors on quantities practical interest such as lag time, generation time or the required to reach a given increase number cells, are analyzed. distribution these errors was examined with perspective use predictive food industry. Highly unsafe significant average observed some cases. A good knowledge accuracy seems essential for their efficient safe use, example predict shelf life product. Yet, authors generally gave no pragmatic information things relative error range predicted variables. Problems robustness when tested different conditions noticed, which corroborates necessity systematic validation new data.
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sci-hub.se 参考文章(16)
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