Construction Of 3D Printing System And Hyperspectral Imaging Detection Of Polyphenol In Aronia Melanocarpa

In recent years,the nutritional value and function of Aronia melanocarpa(AM)have been recognized more and more,and the market demand has been expanding.AM polyphenol(AMP)content is the key to the evaluation of the quality of AM,but there are few nondestructive testing and application studies of AMP.Hydrogel is a kind of gel with 3D polymer network structure formed by physical or chemical crosslinking,which has the function of directional delivery.3D Food Printing(3DFP)is a processing method to realize customized food and precision nutrition,which belongs to the future food value chain system.However,there are few researches on AM gels and application of 3DFP.Firstly,in this study,through the construction of AM/Methyl cellulose(MC)gel system with good AMP loading performance and strong printable property of 3D food printing(3DFP),the effects of 3DFP processing on AM/MC gel system structure,physical property,function,and AMP effect of loading were explored to reveal the mechanism of system construction and the effects on the system during processing.Secondly,the AM and AM/MC gel image information was collected by Hyperspectral imaging(HSI),and combined with AMP content measured by Folinol method.Then,the AM maturity discrimination model and AMP content detection model of AM and AM/MC gel were established based on HSI technology.Finally,the influence of 3DFP processing on the structure,physical properties,function,and CA effect of MC/Hyaluronic acid(HA)hydrogel system loaded with Chlorogenic acid(CA)was explored,and the printability and applicability of hydrogel in 3DFP processing was revealed.The following results are obtained:1.The loading AMP gel system to meet the printability requirements of 3DFP processing was AM fruit pulp:methylcellulose:pea albumin:hyaluronic acid=100:14:1:1.Compared with other ratios and before 3DFP processing,the best loading AMP gel system processed by 3DFP exhibited the lowest deviation of 4.19%,highest hardness,highest elasticity,least adhesion,compact structure,uniform porosity,difficulty in collapsing,good support,high degree of crosslinking,and good water retention.Additionally,they could be stored for 14 d at 4°C.After post-curing,the AMP gel of AMP release rate and good sustained release effect in gastrointestinal digestion,which conformed to the Ritger–Peppas equation model.The results revealed that the gel system had good printability and applicability for 3D printing.2.The UVE-SVM model after multiple scattering correction showed the best performance among all established discriminant models,with the comprehensive recognition rate of 94.62%,R_c~2of 0.9712,and accuracy of 100%.The CARS-SVM model after median filter exhibited the best efficiency in detection of polyphenol content,with the Rc2 of 0.8331.In addition,we proved that the polyphenol content in AM was visual.3.Among the established models for the detection of AM/MC gel polyphenol content,the model with the best effect was the CARS-SVM model after Median Filter pretreatment,R_c~2=0.8796.Twenty AM/MC gel validation models were randomly selected,and R~2=0.9511 was obtained,indicating that the CARS-SVM model has good predictive performance.4.The loading CA hydrogel system for 3DFP processing was water:methyl cellulose:hyaluronic acid:CA=100:8:0.5:0.5.Compared with other ratios and pre-printing samples,3DFP products of this system after 3DFP processing of the deviation was the smallest,which was 13.40%,and had the highest hardness,maximum elasticity,minimum adhesion,compact structure,uniform porosity,not easy to collapse,good support,and the best printing molding.3DFP processing had a good optimization effect on the physical structure of hydrogel,and did not change the chemical properties of hydrogel;CA embedding rate was 22.09%higher than before3D printing.In gastrointestinal digestion simulation,the CA release rate of 3DFP processed samples was significantly higher than that of 3DFP processed samples,showing a good sustained release effect,and its in vitro release was consistent with the Ritger-Peppas equation model.The results showed that the hydrogel system had good printability and applicability,and 3DFP processing can significantly improve the loaded CA hydrogel and its functional factor CA release.In conclusion,both AM/MC gel and CA hydrogel in this study have good printability and applicability,providing a certain theoretical basis for 3D printing applications of fruit pulp and gels as raw materials.In addition,the AM maturity discrimination model based on hyperspectral,AMP content detection model and AM/MC gel polyphenol content detection model all have good predictive performance,providing a theoretical basis for HSI application in the field of berries and gels.