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Preliminary Study using Visible and SW-NIR Analysis for Evaluating the Loss of Freshness in Commercially Packaged Cooked Ham and Turkey Ham

机译:使用可见光和SW-NIR分析进行初步研究以评估商业包装的熟火腿和火鸡火腿的新鲜度损失

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摘要

A non-destructive Vis-NIR spectroscopy (400-1000 nm) method was developed to evaluate the loss of freshness of sliced and commercially packaged cooked ham and turkey ham without any sample manipulation. The spectra were recorded at 0, 30, 40, and 60 days using a camera, spectral fdter (400-1000 nm) and a halogen floodlighting system which had been were developed and calibrated for the purpose. Physico-chemical, biochemical, and microbiological properties such as pH, total volatile basic nitrogen (TVB-N), ATP breakdown compounds, and colony-forming units were determined to predict the degradation of freshness. The image spectra obtained from visible and SW-NIR spectroscopy were related to the storage time of the samples. A PLS-DA model was developedindependently for packaged or unpackaged samples using the second derivative of the spectra. Mean R2 prediction obtained for cooked ham was 0.915 and 0.949 for Turkey ham. The technique developed could be applied to monitoring the freshness of commercialpacked cooked ham and turkey ham as a non-destructive technique. Further studies will be needed to check the spectra obtained from samples of different commercial brands in order to evaluate more precisely the efficiency of the method.
机译:开发了一种无损Vis-NIR光谱(400-1000 nm)方法,以评估切片和商业包装的熟火腿和火鸡火腿的新鲜度损失,而无需进行任何样品处理。使用照相机,光谱滤光片(400-1000 nm)和卤素泛光照明系统在0、30、40和60天记录了光谱,并已为此目的进行了开发和校准。确定了物理化学,生物化学和微生物学性质,例如pH,总挥发性碱性氮(TVB-N),ATP分解化合物和菌落形成单位,以预测新鲜度的降低。从可见光谱和SW-NIR光谱获得的图像光谱与样品的储存时间有关。使用光谱的二阶导数分别针对包装或未包装的样品开发了PLS-DA模型。煮熟火腿的平均R2预测值是土耳其火腿,分别为0.915和0.949。所开发的技术可以作为一种非破坏性技术,用于监测商品包装的熟火腿和火鸡火腿的新鲜度。为了更精确地评​​估该方法的效率,将需要进一步的研究以检查从不同商业品牌的样品获得的光谱。

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