冷藏大黄鱼特定腐败菌CHAID生长模型的验证

Validation of CHAID growth model of specific spoilage organisms in chilled large yellow croaker

为了预测冷冻水产品中微生物生长情况,建立特定腐败菌生长的模型十分重要。传统的生长动力学模型在处理具有缺省值的数据时准确度会下降,并且对微生物生长稳定期的预测有一定的偏差。该文以大黄鱼为例,选用卡方自动交叉检验(CHAID)方法建立特定腐败菌的生长模型,并与传统生长动力学模型进行比较。研究结果确认了弧菌是影响大黄鱼品质的特定腐败菌;基于CHAID方法所构建的预测模型准确性与数据量和数据变化率有关,并且在微生物指数生长期的预测准确性比传统生长动力学模型低,但在微生物生长的稳定期、数据变化较大的情况下比传统模型具有较高的准确性。因此基于CHAID的冷藏鱼类特定腐败菌的生长模型可以应用于预测产品中腐败微生物。

In order to predict the spoilage of microorganism in frozen fish, it is important to establish the growth model of specific spoilage organisms (SSO). The traditional growth kinetics model decreased accuracy when dealing with default data and has deviation at stable stag of microbial growth. In this paper, CHAID (chi-square automatic interaction detection) method was used to predict SSO growth of large yellow croaker compared with traditional growth kinetics model. The results showed that Vibrio was SSO of large yellow croaker. The accuracy of predicted data changed with the data quantity and the data change rate. CHAID method was less than growth kinetics model at exponential stage, but was more accurate at stable stage and large quantity of data. So modeling for growth of specific spoilage organisms in chilled fish based on CHAID can be used to predict the spoilage of microorganism.