Study On Patulin Enrichment Based On Inactivation Microorganism And Rapid Decetion By Using FT-IR/NIR Spectroscopy

Patulin,a secondary metabolite from variety of fungal,widely found in rotten apples and apple juice,also in pear grapes,strawberries and peaches.Because of the physiological and biochemical toxicity of patulin including carcinogenic,teratogenic,mutagenic effects and immunotoxicity has become one of the main factors causing the quality of fruit and juice drinks and human health hazards,so,it is necessary to establish a secure method for rapid detection of patulin.Rencently,adding biosorbents has become a new method to removal patulin,which has the advantage of maintaining commercial quality of juice or juice products while removing patulin.FTIR/NIR spectroscopy is fast,does not require to add chemical reagents,and need little biomass.The study about combining the biosorbents after adsorbing patulin with rapid detection is still relatively little,So there is much room for development of the method.The sudy screen unadsorbed biosorbents as blank control,and do processing and analysis after adsorption by inactivation microorganisms in different systems,establish the qualitative and quantitative analysis of patulin in water and juice concentrate,and construct analytical testing model to satisfy the needs of rapid detection of patulin.The results of this study are as follows:1.three bacteria selecting from five lactic acid and five yeast were able to remove patulin from the water,and the adsorption capacity is different subject to the incubation time,temperature and pH.With incubation time increasing,the rate of adsorption increased,eventually absorbing all out after 48 h.As the cultured temperature increasing,the patulin removal rate increased and reached the maximum removal of lactic acid in 37? and 48?,yeast reached the maximum removal in 28 ?.As pH increasing,the removal of patulin has also increased.At pH5.0,10 strains showed a maximum absorption rate.Under this condition,determined Saccharomyces cerevisiae 7#,Lactobacillus rhamnosus 6149 and Bifidobacterium Lactobacillus 6071 for the experiment.Taking into account the experimental equipment and energy consumption,the culture condition is determined as 37?(Lactobacillus rhamnosus 6149 and Bifidobacterium Lactobacillus 6071)and 28?(Saccharomyces cerevisiae 7#),18 hand pH 5.0.2.Using inactivated microbial cells is an effective method of removing patulin,and different microorganisms has different ability to adsorption patulin.The adsorption of Saccharowmyces cerevisiae 7#was 72.13%,Lactobacillus rhamnosus 6149 and Bifidobacterium Lactobacillus 6071 was 51.14%and 53.83%,respectively.3.Using the inactivate microorganisms as medium to establish Artificial network and linear analysis prediction mode of three strains based on patulin solution.Accuracy of model checking are higher and the rapid detection of patulin by microorganisms can be realized which is based on FTIR/NfIR.4.In the system of apple juice concentrate,using principal component analysis combined with MLP and RBF neural network modeling approach,established a model and the experimental results show that the model works well,and the MLP neural network modeling is slightly better than the RBF neural network modeling.That is,for the purposes of the model,MLP neural network based on Fourier transform infrared spectroscopy is more suitable for microbial cells adsorption for rapid detection of patulin.5.Using a combination of principal component analysis and partial least squares method,reduced the uncontrollable factors of spectrum,improved the accuracy of model checking,established quantitative analysis with Fourier Transform Near Infrared Spectroscopy for inactivation microbial cells of the patulin adsorption model in concentrated apple juice.Three.strains in apple juice concentrate adsorption system for quantitative detection of patulin model showed a good predictability.