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Innovative photonic system in radiofrequency and microwave range to determine chicken meat quality

机译:用于确定鸡肉质量的创新型射频和微波光子系统

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Nowadays, one of the most important challenges of poultry industry is to determine individually the meat quality class (pale, soft and exudative, normal and dark, firm and dry meats) by non-invasive, accurate and fast technique. For this purpose, dielectric spectra in radiofrequency and microwave ranges were studied. In radiofrequency range, the permittivity was measured by a non-destructive sensor conformed by three points with blunt-ended electrodes connected to an Agilent 4294A impedance analyser, and in microwave range an Agilent 85070E open-ended coaxial probe connected to an Agilent E8362B Vector Network Analyser were used. This work demonstrates the direct relation between the pH evolution and the dielectric constant at alpha-dispersion, and also, that the main structural proteins degradation has direct relation with the dielectric constant at beta-dispersion, being possible to segregate meat depending on the level of protein degradation. Finally, this paper ends with a classification model for quality poultry meat based on a photonic analysis at radiofrequency range by using the Traffano-Schiffo model.
机译:如今,家禽业面临的最重要挑战之一是通过无创,准确和快速的技术来单独确定肉类的质量等级(苍白,柔软和渗出,正常和深色,坚硬和干燥的肉类)。为此,研究了射频和微波范围内的介电谱。在射频范围内,介电常数是通过无损传感器进行测量的,该传感器由三个点组成,末端连接到Agilent 4294A阻抗分析仪的钝端电极,在微波范围内,将Agilent 85070E开放式同轴探针连接到Agilent E8362B矢量网络使用分析仪。这项工作证明了pH演化与α分散时介电常数之间的直接关系,而且,主要结构蛋白的降解与β分散时介电常数具有直接关系,可以根据肉的水平分离肉。蛋白质降解。最后,本文基于Traffano-Schiffo模型,基于射频范围的光子分析,建立了优质家禽肉的分类模型。

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