首页> 外文期刊>Acta microbiologica et immunologica Hungarica: A quarterly of the Hungarian Academy of Sciences >Estimation of bacteriological spoilage of pork cutlets by electronic nose.
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Estimation of bacteriological spoilage of pork cutlets by electronic nose.

机译:用电子鼻估算猪排的细菌变质。

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摘要

The utility of chemosensor array (EN) signals of head-space volatiles of aerobically stored pork cutlets as a non-invasive technique for monitoring their microbiological load was studied during storage at 4, 8 and 12 degrees C, respectively. The bacteriological quality of the meat samples was determined by standard total aerobic plate counts (TAPC) and colony count of selectively estimated Pseudomonas (PS) spp., the predominant aerobic spoilage bacteria. Statistical analysis of the electronic nose measurements were principal component analysis (PCA), and canonical discriminant analysis (CDA). Partial least squares (PLS) regression was used to model correlation between microbial loads and EN signal responses, the degree of bacteriological spoilage, independently of the temperature of the refrigerated storage. Sensor selection techniques were applied to reduce the dimensionality and more robust calibration models were computed by determining few individual sensors having the smallest cross correlations and highest correlations with the reference data. Correlations between the predicted and "real" values were given on cross-validated data from both data reduced models and for full calibrations using the 23 sensor elements. At the same time, sensorial quality of the raw cutlets was noted subjectively on faultiness of the odour and colour, and drip formation of the samples. These preliminary studies indicated that the electronic nose technique has a potential to detect bacteriological spoilage earlier or at the same time as olfactory quality deterioration.
机译:在分别于4、8和12摄氏度的温度下存储过程中,研究了有氧存储猪排顶空挥发物化学传感器阵列(EN)信号作为监测其微生物负荷的非侵入性技术的用途。肉样品的细菌学质量由标准的总需氧菌盘数(TAPC)和选择性估计的假单胞菌(PS)菌种(主要有氧腐败菌)的菌落数确定。电子鼻测量的统计分析是主成分分析(PCA)和规范判别分析(CDA)。偏最小二乘(PLS)回归用于建模微生物负荷与EN信号响应,细菌变质程度之间的相关性,而与冷藏库的温度无关。应用传感器选择技术来减少尺寸,并通过确定与参考数据具有最小互相关和最高相关性的几个单个传感器来计算更鲁棒的校准模型。预测值和“实际”值之间的相关性在来自两个数据缩减模型的交叉验证数据上给出,并使用23个传感器元件进行了全面校准。同时,在气味和颜色的缺陷以及样品滴落的形成上,主观地注意到了生猪排的感官质量。这些初步研究表明,电子鼻技术具有在嗅觉质量下降的早期或同时检测细菌腐败的潜力。

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