Muhammad Yudha Syahputra, A. Juniawan, S. Suprapto, F. Kurniawan
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引用次数: 0
摘要
肉类是消费最多的食品之一。肉类消费的增加导致一些商人伪造肉类的身份以获取利润。经常发生的肉类掺假事件是用猪肉代替牛肉。这种掺假情况对消费者非常不利,因此有必要找出一种方法来识别所售肉类的种类。傅立叶变换红外(FTIR)振动光谱法已被开发用于分析牛肉和猪肉的种类。FTIR测量是用切好的生肉样品进行的,没有进一步的准备。测量得到牛肉和猪肉4000 ~ 500 cm -1波数的红外光谱数据,并用主成分分析(PCA)统计方法对数据进行分析。通过主成分分析得到的投影结果可以表示通过主成分1和主成分2区域显示的测量产生的所有数据。基于这些投影,可以对牛肉和猪肉剖面区域进行适当的分类。
Vibration Spectroscopy Potential for Beef and Pork Determination
—Meat is one of the most foodstuff consumed. The increasing consumption of meat had led some traders to falsify the identity of meat for gaining profit. The meat adulteration case that often occurs is substituting the beef with pork. This adulteration case is very detrimental to consumers, therefore a method to identify the type of meat sold is very necessary. The vibration spectroscopy method, Fourier Transform Infra Red (FTIR), had been developed to analyze the type of beef and pork. The FTIR measurement was carried out with cut raw meat samples without further preparation. The Data obtained from the measurement are infra-red spectrum from beef and pork from 4000-500 cm -1 wavenumber and then the data was analyzed with Principle Component Analysis (PCA) statiscticall method. Projection result with PCA obtained data reduction that can represent all data generated from measurements shown through the Principle Component 1 and Principle Component 2 regions. Based on those projection, beef and pork profile area can be classified properly.