Application Of Spectral Analysis Technology In The Food And Medicine Testing

Food quality and safety is a scientific discipline describing handing,preparation,and processing,storage condition in ways that prevent food il ness and provide high quality.The traditional technology and method for evaluation and measurement is time-consuming,expensive and damaging.While spectroscopic technology overcome some of these difficulties.Many researchers were paying more and more attentions on the new detective technology.There are several valuable spectroscopic techniques including mid-infrared(MIR)spectroscopy,Raman spectroscopy,and spectral imaging mainly related to hyperspectral imaging(HSI).There are growing interests in spectroscopic techniques due to convenience,nondestructive,non-invasive,cost-effective and quick response.At present,the spectrum detection technology is widely used for classification of livestock and poultry,aquatic products,and variety identification.Agricultural products,fruits and vegetables were also been detected.In the paper,some of these techniques were noted and some of their applications were also involved.1.Using hyperspectral imaging to distinguish pork and beefThe collected hyperspectral imaging information was analyzed by using the principal component analysis(PCA).Then two modeling methods,artificial neural network(ANN)and support vector machine classification(SVM),were used to recognize 20 predictive samples of pork and beef for each,respectively.The results showed that the correct recognition rates above two kinds of classification model were respectively 97.5%,100%.And the accuracy of support vector machine classifica t io n model was up to 100%.The successful application of hyperspectral imaging technology to test and classify pork and beef has been proved fast,accurate and nondestructive.2.Raman spectroscopic study of structural changes in pork muscle proteins during frozen storageBy analyzing the Raman spectrum changes of different freezing-thawing process with pork,which can be drawn that the 785 nm laser light source was more excellent than using 532 nm laser light source with detecting the Raman spectrum of pork.The Raman signal in the range of 800-1200cm-1 can be saved completely.With the increase of frozen times,the Raman peak intensity decreases at 1645-1685cm-1 assigned to Amide I.A decrease in α-helices attributed the intensity decrease of the C-C stretching band(940 cm-1)in frozen pork muscle.After two months of frozen pork,the intens it y ratio of two bands 1650cm-1 and 1450cm-1(I1650/I1450)was decreased,which shows that the structural of pork protein had been destroyed.3.On-line monitoring of methanol and glycerol during Health Care Products synthesis processWe used Fourier transform mid-infrared spectroscopy(FTIR)and Attenuated Total Reflectance(ATR)infrared accessories to achieve glycerol and methanol infrared process monitoring in the process of health care products synthesis.Application of PLS to establish the forecast models of glycerol and methanol had good prediction ability.General y,correlation coefficient(R2)of glycerol and methanol infrared models were 98.65% and 98.09%,respectively.Finally,we have successfully monitored to the change trend of the glycerol and methanol content in the process of health products synthesis.Result showing that: glycerol and methanol run out after they were put in the reaction kettle 40 h and 6 h later.It is cleanly that the infrared spectrum detection technology can ful y achieve glycerol and methanol infrared process monitoring in the process of health products synthesis.