A hyperspectrum-based method for detecting triphosadenine and the bacterial count in a sausage

• Main Authors: JUAN FRANCISCO GARCIA MARTIN, MAKINO YOSHIO, FENG CHAOHUI, YOSHIMURA MASATOSHI
• Format: Patent
• Language: Chinese; English
• Published: 25.09.2018
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

A hyperspectrum-based method for detecting triphosadenine and the bacterial count in a sausage is disclosed. The method includes (1) preparing ready-to-eat sausage samples with different storage days,and scanning the sausage samples with a hyperspectrum detecting instrument to obtain hyperspectrum images; (2) pretreating the hyperspectrum images by utilizing multivariate scatter correction, variable normalization and a derivative method; (3) selecting 10 characteristic wavebands by a regression coefficient method; (4) building a multiple linear regression model of sausage ATP and characteristic wavebands; and (5) subjecting the model in the step (4) to data reconstitution in reshape2 in the R language program, and then performing lattice to perform color surface representation on an ATP value calculated according to the model. The hyperspectrum-based method can achieve efficient detection of distribution of the inside ATP and the bacterial count and the detection accuracy is as high as 98.99%. 本发明提供了种基于高光谱检测香