猪、牛、山羊生皮的电子鼻表征清真皮加工产品特性的可视化数据比较

Yogi Putra, Y. Darvina, Yulkifli
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引用次数: 0

摘要

市场上各种产品存在可疑的清真声明,引起了消费者,特别是穆斯林的关注。因此,准确识别清真皮肤产品的需求变得至关重要。本研究的重点是利用视觉特征数据来区分猪皮与其他常用的原料,如牛皮和山羊皮。数据是通过使用基于化学计量学的电子鼻仪器对样品进行分析获得的,该仪器通过金属氧化物半导体传感器(TGS 26xx和TGS8xx)检测挥发性有机化合物(VOCs)。样品包括猪皮、牛皮和山羊皮,并测量了它们的特定气味,并用线形图表示,揭示了传感器检测到的不同气味模式。分析结果显示,猪皮中挥发性有机化合物的浓度最高,且呈上升趋势,表明猪皮中挥发性有机化合物的浓度较高,气味强烈。牛皮挥发性有机化合物浓度较低,呈中等趋势线;山羊皮挥发性有机化合物浓度较低,但具有较强的气味特性。分析采用线性判别分析(LDA)方法,通过生成线形图进一步证实了这些特征,显示出显著差异,特别是在猪皮中。LDA曲线图对原始猪皮、牛皮和山羊皮数据进行了清晰的分组。判别函数1占分组的89.13%,判别函数2占10.87%,因此判别函数的总价值为100%。综上所述,本研究基于猪皮和牛/山羊皮的气味特征和传感器数据建立了明确的区分。LDA图是识别清真产品特征的一种有价值的视觉工具。通过使用这种方法,消费者,特别是那些寻求清真认证的皮肤产品的消费者,可以做出明智的选择,并对他们的购买决策更有信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Pig, Cow and Goat Raw Skin Using E-Nose for Visual Data Comparison of Characteristics of Halal Skin-Processed Products
The presence of questionable halal claims for various products in the market presents concerns among consumers, particularly Muslims. As a result, the need to accurately identify halal skin products has become crucial. This study focuses on differentiating pig skin from other commonly used raw materials such as cow skin and goat skin by utilizing visual characteristic data. The data was obtained through the analysis of samples using a chemometric-based electronic nose instrument, which detected volatile organic compounds (VOCs) through metal oxide semiconductor sensors (TGS 26xx and TGS8xx). The samples consisted of pig skin, cow skin, and goat skin, and their specific odors were measured and represented in line graphs, revealing distinct odor patterns detected by the sensors. The analysis revealed that pig skin exhibited the highest and increasing trend line, indicating a higher concentration of VOCs and an intense odor. Cow skin displayed a moderate trend line with lower concentrations of VOCs, while goat skin showed a lower trend line compared to cow skin but possessed strong odor properties. The analysis employed the linear discriminant analysis (LDA) method, which further confirmed these characteristics by generating line graphs that demonstrated significant differences, particularly in pig skin. The LDA plot graphs presented clear groupings of the original pig skin, cow skin, and goat skin data. Discriminant function 1 accounted for 89.13% of the grouping, while discriminant function 2 accounted for 10.87%, resulting in a total value of 100% for the discriminant function. In conclusion, this research establishes a clear distinction between pig skin and cow/goat skin based on their odor characteristics and sensor data. The LDA plot graphs serve as a valuable visual tool for identifying the characteristics of halal products. By utilizing this approach, consumers, especially those seeking halal-certified skin products, can make informed choices and have greater confidence in their purchasing decisions.
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