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Determining the efficacy of a biosensor to detect calpastatin, a meat tenderness indicator.

机译:确定生物传感器检测钙压抑素(一种肉嫩度指标)的功效。

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An instrumental tenderness detection system that can be used at the time of grading to sort beef carcasses based on their predicted tenderness value would be a valuable tool for the beef industry. A biosensor that can accurately predict calpastatin, the inhibitor of the enzyme responsible for increased tenderness due to aging, has been investigated as a tenderness detection system. Two trials were conducted to determine the efficacy of developed biosensors. Longissimus dorsi samples from between the 12th and 13th rib of the beef carcass (n = 21 and n = 11) were extracted from beef carcasses at 0, 24, 36 and 48 h postmortem for trial one and at 0 and 48 hr for trial two. These samples were assayed for calpastatin by traditional laboratory methods and with the newly-developed biosensors. The biosensor used in trial one was an optical fiber biosensor and trial two was a capillary tube biosensor. Warner-Bratzler shear force was also performed on a steak from each carcass. In trial one, correlations were generated from each sampling period to determine the most closely correlated sampling times between the traditional assay and the biosensor. The results indicated that the measurement with highest correlations between the calpastatin and optical fiber biosensor were taken at 48 hr postmortem (r = 0.5966, P = 0.007), suggesting that this is the best time for use of the biosensor in an online grading system. While the correlation was lower for the capillary tube biosensor in trial two, there was less variation in the 0 hr capillary tube biosensor than the 0 hr pre-column (P = 0.006) and post-column optical fiber biosensors (P = 0.047), therefore this is a more promising system. This research further advances the development of the biosensor and makes online assessment of calpastatin one step closer to reality. The current biosensor would be useful in laboratory determination of the presence of biologically active calpastatin concentrations because of the reduction in time in laboratory procedure.
机译:可以在分级时根据其预测的嫩度值使用一种工具嫩度检测系统对牛肉car体进行分类,这将是牛肉行业的宝贵工具。作为压痛检测系统,已经研究出了一种生物传感器,该传感器可以准确地预测钙蛋白酶抑制素,该酶是导致衰老导致压痛增加的酶的抑制剂。进行了两项试验,以确定已开发的生物传感器的功效。在第1次试验的死后0、24、36和48 h从牛肉0体的第12至13肋骨(n = 21和n = 11)中提取背最长肌样品,在第2次试验的0和48 hr从牛尸体中提取。通过传统的实验室方法和新开发的生物传感器对这些样品的钙蛋白酶抑制剂进行了测定。试验一中使用的生物传感器是光纤生物传感器,试验二中使用的是毛细管生物传感器。还对来自每个car体的一块牛排施加了Warner-Bratzler剪切力。在试验一中,从每个采样周期生成相关性,以确定传统测定与生物传感器之间最紧密相关的采样时间。结果表明,钙蛋白酶抑素与光纤生物传感器之间相关性最高的测量是在死后48小时进行的(r = 0.5966,P = 0.007),这表明这是在在线分级系统中使用生物传感器的最佳时间。尽管在试验2中,毛细管生物传感器的相关性较低,但0小时毛细管生物传感器的变化要比0小时柱前(P = 0.006)和柱后光纤生物传感器(P = 0.047)小,因此,这是一个更有希望的系统。这项研究进一步推动了生物传感器的发展,并使钙调他汀的在线评估更加接近现实。由于实验室过程中时间的减少,当前的生物传感器将可用于实验室确定生物活性钙抑素浓度的存在。

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