This article studied the distribution of volatile organic compounds (VOCs) expose to colorimetric sensors array on stored rice. COMSOL Multiphysics software was utilized to simulate the flow field in reaction chambers, where arc baffle with different curvature in different position were employed for optimization. It was observed that the velocity field was the most uniform when the curvature of baffle was 3.3 and the vertical distance from the front end of the baffle to the inlet was 1.5 cm. The research results revealed that color changes of the sensors exposed to the same VOCs in the designed chamber were more uniform than that of free volatilization chamber. Fresh and aged rice samples were 100% correctly identified by principal components analysis when the designed chamber was used, while the recognition percentage was 90% using the free volatilization chamber. Practical applications This work presents a nondestructive method for the discrimination of aged rice. The data and figures presented clearly suggest the optimized chamber can extremely improve the reaction between volatile organic compounds and colorimetric sensor array. When the optimized reaction chamber was performed to detect the fresh and aged rice, all of the samples were discriminated successfully. This research results supports a potential way for fast, nondestructive detection of freshness in rice industry.
An olfactory visualization system conducts a qualitative or quantitative analysis of volatile organic compounds (VOCs) by utilizing the sensor array made of color sensitive dyes. The reaction chamber is important to the sensor array’s sufficient and even exposure to VOCs. In the current work, a reaction chamber with an arc baffle embedded in the front of the air inlet for drainage effect was designed. The velocity of field and particle distribution of flow field in the reaction chamber was simulated by COMSOL Multiphysics. Through repeated simulation, the chamber achieved optimal result when the baffle curvature was 3.1 and the vertical distance between the baffle front end and the air inlet was 1.6 cm. Under the new reaction chamber, principal component analysis (PCA) and linear discriminant analysis (LDA) were employed to identify vinegar samples with different storage time through analyzing their VOCs. The LDA model achieved optimal performance when 8 principal components (PCs) were used, and the recognition rate was 95% in both training and prediction sets. The new reaction chamber could improve the stability and precision of an olfactory visualization system for VOCs analysis, and achieve the accurate differentiation and rapid discrimination of Zhenjiang vinegar with different storage time.
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