Development of prediction models to estimate the total number of mesophilic aerobic and lactic acid bacteria of squid rings that were cooked before marinating

B. Kılınç, Fevziye Nihan Bulat, Sevcan Demir Atalay
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Abstract

This study was conducted in order to develop different statistical models for estimating the bacterial count of squid rings marinated with lemon juice and mineral water after cooking. The marination ratios and times were as follows: (10:90; 90:10; 50:50; 100:100/100 g squid ring) and (1, 3, 6, 12, 24, 48 and 72 h), respectively. The effects of marination ratios and times on the microbiological and sensory changes of the cooked squid rings were observed at 4°C. Pathogenic bacteria (Vibrio spp., Staphylococcus aureus and Escherichia coli) were not found in the cooked (C) and cooked marinated (CM) squid rings in the present study. The TMC (total mesophilic aerobic bacteria counts) of all groups were determined as consumable at 72 h, whereas the TMC of C and CM samples (C7, CM7, CM14, CM21, CM28) increased to 5.92, 5.83, 5.71, 5.57 and 5.42 log cfu/g, respectively. Regression models were created to estimate the TMC and lactic acid bacteria count (LBC) of cooked squid rings during the marination process at 4°C to determine the increasing rates of bacterial growth of samples. As a result of this study; when compared with Model I and Model II; both of them can be preferred for predicting the TMC of C and CM samples. The variability in the TMC of C and CM squid samples was obtained as 93% in Model I, whereas the variability in the TMC of these samples was observed as 91% in Model II. So, these two models performed well, and they can be used for predicting the TMC of C and CM samples. Additionally, Model III was also developed for estimating the prediction value of LBC of cooked squid samples during the marination process at 4°C. This model was also determined very good performance (86%) to estimate the predicting values of LBC and it can be very essential together used with Model I or Model II for marinated fishery products to estimate the real shelf-life.
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建立了鱿鱼腌制前熟环中嗜酸性好氧菌和乳酸菌总数的预测模型
本研究的目的是建立不同的统计模型来估计柠檬汁和矿泉水浸泡后鱿鱼环的细菌数量。腌制比例和腌制次数如下:(10:90;挺;50:50;100:100/100 g鱿鱼环)和(1、3、6、12、24、48和72 h)。在4℃条件下,观察腌制比例和腌制次数对熟鱿鱼环微生物学和感官变化的影响。本研究在煮熟的(C)和腌制的(CM)鱿鱼环中未发现致病菌(弧菌、金黄色葡萄球菌和大肠杆菌)。在72 h时,各组的TMC(嗜中氧好氧细菌总数)均为可耗菌,而C和CM样品(C7、CM7、CM14、CM21、CM28)的TMC分别增加到5.92、5.83、5.71、5.57和5.42 log cfu/g。建立回归模型,估算4°C腌制过程中熟鱿鱼环的TMC和乳酸菌计数(LBC),以确定样品中细菌生长的增长率。作为这项研究的结果;与模型一和模型二比较;两者均可用于预测C和CM样品的TMC。在模型I中,C和CM鱿鱼样品的TMC变异性为93%,而在模型II中,这两种样品的TMC变异性为91%。因此,这两个模型表现良好,可以用于预测C和CM样品的TMC。此外,还建立了模型III,用于估算熟鱿鱼样品在4°C腌制过程中的LBC预测值。该模型在估计LBC预测值方面也有很好的表现(86%),可以与模型1或模型2结合使用,对腌制水产品的实际货架期进行估计。
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