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Determination of fatty acid composition and consistency of raw pig fat with near infrared spectroscopy

机译:近红外光谱法测定生猪脂肪的脂肪酸组成和稠度

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摘要

For the production of high quality meat products, processors demand firm pig fat. About 20 years ago, Swiss slaughter houses established a titrimetric method to determine the so-called fat score (an index of double bonds in the fat) as a quality control measure. Since 2005, an NIR method has been applied to determine the fat score in two processing plants. The use of toxic solvents and reagents was thus avoided and the work needed considerably reduced. The result, nevertheless, is an unspecific measure of the sum of double bonds. The aim of this study was to evaluate the potential of determining the fatty acid composition more specifically or even to predict fat consistency traits directly in pig fat without extracting the lard. For this purpose a total of 155 samples of pig fat was scratched from the outer layer of the backfat at the slaughter line according to the official fat score method. The collected fat was mixed with a rotor-stator homogeniser, before NIR spectra were recorded. The fatty acid composition was analysed using gas chromatography and the solid fat content was measured by differential scanning calorimetry. The proportion of saturated fatty acids (SFA), monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) was validated with relative standard errors of prediction [SEP] of 0.9%, 1.6% and 4.7% and coefficients of determination (r{sup}2) of 0.98, 0.88 and 0.96, respectively. The validation of the proportion of very long chain PUFA resulted in a SEP of 7.6% and an r{sup}2 of 0.88. The solid fat content (at 10℃ and 20℃) was also estimated with sufficient precision and accuracy (n=80; SEP= 2.9% and 3.2%, r{sup}2=0.94 and 0.96, respectively). NIR, therefore, provides the potential to establish more specific measures for pig fat quality than the original fat score method.
机译:为了生产高质量的肉类产品,加工者需要稳定的猪脂肪。大约20年前,瑞士的屠宰场建立了一种滴定法,以确定所谓的脂肪评分(脂肪中双键指数)作为质量控制措施。自2005年以来,已经在两个加工厂中采用了NIR方法来确定脂肪评分。因此避免了有毒溶剂和试剂的使用,并且大大减少了所需的工作。但是,结果是对双键总和的不确定测量。这项研究的目的是评估更具体地确定脂肪酸组成的潜力,甚至可以直接预测猪脂肪中的脂肪稠度特征而无需提取猪油。为此,根据官方的脂肪评分方法,从宰杀线的背脂外层刮下总共155个猪脂肪样品。在记录近红外光谱之前,将收集的脂肪与转子-定子均质器混合。使用气相色谱法分析脂肪酸组成,并通过差示扫描量热法测量固体脂肪含量。验证了饱和脂肪酸(SFA),单不饱和脂肪酸(MUFA)和多不饱和脂肪酸(PUFA)的比例,预测的相对标准误差[SEP]为0.9%,1.6%和4.7%,测定系数为(r {sup} 2)分别为0.98、0.88和0.96。验证超长链PUFA的比例可得出SEP为7.6%,r {sup} 2为0.88。还以足够的精度和准确度估计了固态脂肪含量(在10℃和20℃时)(n = 80; SEP = 2.9%和3.2%,r {sup} 2 = 0.94和0.96)。因此,与原始脂肪评分方法相比,NIR提供了建立猪脂肪质量更具体指标的潜力。

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