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Evaluation of the Spoilage of Raw Chicken Breast Fillets Using Fourier Transform Infrared Spectroscopy in Tandem with Chemometrics

机译:化学计量学结合傅里叶变换红外光谱法评估生鸡肉胸脯肉的腐败

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The aim of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy as a rapid and accurate technique to detect and predict the onset of spoilage in fresh chicken breast fillets stored at 3, 8, and 30 A degrees C. Chicken breasts were excised from carcasses at 6 h post-mortem; cut in fillets; packed in air; stored at 3, 8, and 30 A(0)C; and periodically examined for FTIR, pH, microbiological analysis, and sensory assessment of freshness. Partial least squares regression allowed estimations of total viable counts (TVC), lactic acid bacteria (LAB), Pseudomonas spp., Brochothrix thermosphacta, Enterobacteriaceae counts and pH, based on FTIR spectral data. Analysis of an external set of samples allowed the evaluation of the predictability of the method. The correlation coefficients (R-2) for prediction were 0.798, 0.832, 0.789, 0.810, 0.857, and 0.880, and the room mean square error of prediction were 0.789, 0.658, 0.715, 0.701, 0.756 log cfu g(-1) and 0.479 for TVC, LAB, Pseudomonas spp., B. thermosphacta, Enterobacteriaceae, and pH, respectively. The spectroscopic variables that can be linked and used by the models to predict the spoilage/freshness of the samples, pH, and microbial counts were the absorbency values of 375 wave numbers from 1,700 to 950 cm(-1). A principal component analysis led to the conclusion that the wave numbers that ranges from 1,408 to 1,370 cm(-1) and from 1,320 to 1,305 cm(-1) are strongly connected to changes during spoilage. These wave numbers are linked to amides and amines and may be considered potential wave numbers associated with the biochemical changes during spoilage. Discriminant analysis of spectral data was successfully applied to support sensory data and to accurately bound samples freshness. According to the results presented, it is possible to conclude that FTIR spectroscopy can be used as a reliable, accurate, and fast method for real time freshness evaluation of chicken breast fillets during storage.
机译:这项工作的目的是评估傅立叶变换红外(FTIR)光谱技术作为一种快速准确的技术的潜力,该技术可以检测和预测在3、8和30 A摄氏度下存储的新鲜鸡胸肉鱼片的腐败变质。死后6小时从尸体上切下乳房;切鱼片;空气包装储存在3、8和30 A(0)C;并定期检查FTIR,pH,微生物分析和新鲜感官评估。偏最小二乘回归允许根据FTIR光谱数据估算总生存数(TVC),乳酸菌(LAB),假单胞菌属,嗜热性溴化拟杆菌,肠杆菌科计数和pH。对一组外部样本的分析可以评估该方法的可预测性。预测的相关系数(R-2)为0.798、0.832、0.789、0.810、0.857和0.880,预测的均方差为0.789、0.658、0.715、0.701、0.756 log cfu g(-1)和TVC,LAB,假单胞菌属,嗜热芽孢杆菌,肠杆菌科和pH分别为0.479。模型可以链接并用于预测样品的变质/新鲜度,pH和微生物计数的光谱变量是375波从1,700到950 cm(-1)的吸收值。主成分分析得出的结论是,波数在1,408至1,370 cm(-1)和1,320至1,305 cm(-1)之间与损坏期间的变化密切相关。这些波数与酰胺和胺有关,可以认为是与腐败过程中生化变化相关的潜在波数。光谱数据的判别分析已成功应用于支持感官数据和准确绑定样品的新鲜度。根据给出的结果,可以得出结论,FTIR光谱可以用作可靠,准确和快速的方法,用于存储期间鸡胸肉的实时新鲜度评估。

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