Deak T, Beuchat L R
Department of Food Science and Technology, University of Georgia, Griffin 30223-1797.
Int J Food Microbiol. 1994 Nov;23(3-4):405-17. doi: 10.1016/0168-1605(94)90166-x.
In recent years, modeling for the purpose of predicting microbiological spoilage of foods has gained much interest. Predictive modeling requires a concentrated mathematical and experimental approach; to collect data of adequate quality is a technically demanding task when several experimental parameters are involved. Rapid, non-traditional, automated techniques are particularly useful in modeling. Of these, electrometric techniques appear to be most promising. Indirect conductimetry was used to study the effect of temperature, aw, pH and potassium sorbate concentration on the growth of Zygosaccharomyces bailii. The automated Malthus 2000 instrument proved to be convenient for gathering a large amount of data that were then used to develop polynomial models describing the response of the yeast to combinations of experimental factors in terms of conductimetric detection time and maximum rate of change in conductance. Results demonstrated that indirect conductimetry is suitable for monitoring the effect of environmental factors on the growth and activity of Z. bailii and perhaps other food spoilage yeasts.
近年来，以预测食品微生物腐败为目的的建模受到了广泛关注。预测建模需要集中的数学和实验方法；当涉及多个实验参数时，收集高质量的数据是一项技术要求很高的任务。快速、非传统的自动化技术在建模中特别有用。其中，电测技术似乎最有前景。采用间接电导法研究了温度、水分活度、pH值和山梨酸钾浓度对拜耳接合酵母生长的影响。事实证明，自动化的马尔萨斯2000仪器便于收集大量数据，这些数据随后被用于建立多项式模型，该模型根据电导检测时间和电导最大变化率描述酵母对实验因素组合的响应。结果表明，间接电导法适用于监测环境因素对拜耳接合酵母以及可能其他食品腐败酵母生长和活性的影响。
