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Discrimination between fresh, chilled, and frozen/thawed chicken based on its skin's spectrochemical and optical properties

机译:基于皮肤分布和光学性质的新鲜,冷藏和冷冻/解冻鸡的歧视

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Monitoring of the spectrochemical and optical properties of biomaterials has been widely utilized in many biomedical applications for both diagnosis and therapy. Recently, these nondestructive, noninvasive technologies have been used to inspect the quality and safety of food products. In this work, samples from chicken breast skin were investigated spectrochemically and optically to distinguish between fresh, frozen/thawed, and chilled chicken to reveal the adulteration of fresh meat and commercial fraud. Spectrochemical analysis was carried out using the Laser-Induced Fluorescence (LIF) technique. In the LIF setup used, a diode-pumped solid-state laser was used as a pump laser at lambda= 266 nm. The LIF spectra were then analyzed statistically using the principal component analysis (PCA) method, while optical analysis was conductedviameasurement of the parameters of the absorption and scattering of laser light (lambda= 405 nm) on the chicken's skin. The optical absorption and scattering coefficients were acquired using an integrating sphere with a combination of the Beer-Lambert law and the Kubelka-Munk mathematical model. The spatial distribution of light at the sample surface was modeled using Monte-Carlo simulation and finite element solution of the diffusion equation to visualize the results. The potential of the LIF technique combined with principal component analysis in discriminating between the three chicken categories was validated by measuring the optical parameters as well as the simulation model. Besides, the discriminative ability of the proposed method was evaluated using receiver operating characteristic (ROC) curves, which showed sensitivity in discriminating fresh and frozen samples of 0.82 and 0.74 in fresh-chilled separation. These investigations demonstrate the capability of using LIF and proper software forin situcommercial fraud detection,i.e., in supermarkets and/or meat supplier centers.
机译:在许多生物医学应用中广泛用于诊断和治疗的许多生物医学应用中,监测生物材料的光谱和光学性质。最近,这些非经破坏性的非侵入性技术已被用来检查食品的质量和安全性。在这项工作中,通过鸡胸肉皮肤的样品进行调查,光谱化,并光学地区分新鲜,冷冻/解冻和冷藏鸡以揭示新鲜肉类和商业欺诈的掺假。使用激光诱导的荧光(LiF)技术进行分积液分析。在所用的LIF设置中,在Lambda = 266nm处用作泵激光器的二极管泵浦固态激光器。然后使用主成分分析(PCA)方法统计地分析LIF光谱,而光学分析是对鸡皮肤的吸收和散射的参数进行的参数进行。使用与Beer-Lambert Law和Kubelka-Munk数学模型的组合的整合球获得了光学吸收和散射系数。使用Monte-Carlo模拟和扩散方程的有限元溶液模拟样品表面的光的空间分布,以可视化结果。通过测量光学参数以及仿真模型,验证了LIF技术与主要成分分析相结合的电位。此外,使用接收器操作特征(ROC)曲线评估所提出的方法的判别能力,其显示在新鲜冷冻分离中鉴别0.82和0.74的新鲜和冷冻样品的敏感性。这些调查展示了使用LIF和适当的软件伪造于Situcommercial欺诈检测的能力,即超市和/或肉类供应商中心。

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