Abstract:
Bioelectrical impedance analysis (BIA) was established to quantify diverse cellular characteristics. This technique has been widely used in various species, such as fish, poultry, and humans for compositional analysis. This technology was limited to offline quality assurance/detection of woody breast (WB); however, inline technology that can be retrofitted on the conveyor belt would be more helpful to processors. Freshly deboned (n = 80) chicken breast fillets were collected from a local processor and analyzed by hand-palpation for different WB severity levels. Data collected from both BIA setups were subjected to supervised and unsupervised learning algorithms. The modified BIA showed better detection ability for regular fillets than the probe BIA setup. In the plate BIA setup, fillets were 80.00% for normal, 66.67% for moderate (data for mild and moderate merged), and 85.00% for severe WB. However, hand-held BIA showed 77.78, 85.71, and 88.89% for normal, moderate, and severe WB, respectively. Plate BIA setup is more effective in detecting WB myopathies and could be installed without slowing the processing line. Breast fillet detection on the processing line can be significantly improved using a modified automated plate BIA.
摘要:
建立了生物电阻抗分析(BIA)以量化各种细胞特征。该技术已广泛应用于各种物种,比如鱼,家禽,和人类进行成分分析。该技术仅限于离线质量保证/木质乳房(WB)的检测;但是,可以在传送带上改装的内联技术对处理器更有帮助。从本地处理器收集新鲜去骨的(n=80)鸡胸肉片,并通过手诊分析不同的WB严重程度。对从两个BIA设置收集的数据进行监督和无监督学习算法。与探针BIA设置相比,修饰的BIA对常规片显示出更好的检测能力。在盘子BIA设置中,正常鱼片为80.00%,中度为66.67%(轻度和中度合并的数据),重度WB为85.00%。然而,手持式BIA显示正常77.78、85.71和88.89%,中度,和严重的WB,分别。平板BIA设置在检测WB肌病方面更有效,并且可以在不减慢处理线的情况下安装。使用改进的自动化板BIA可以显著改善处理线上的乳房圆角检测。