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Intellectualization is an important direction of drying development and artificial intelligence (AI) technologies have been widely used to solve problems of nonlinear function approximation, pattern detection, data interpretation, optimization, simulation, diagnosis, control, data sorting, clustering, and noise reduction in different food drying technologies due to the advantages of self-learning ability, adaptive ability, strong fault tolerance and high degree robustness to map the nonlinear structures of arbitrarily complex and dynamic phenomena. This article presents a comprehensive review on intelligent drying technologies and their applications. The paper starts with the introduction of basic theoretical knowledge of ANN, fuzzy logic and expert system. Then, we summarize the AI application of modeling, predicting, and optimization of heat and mass transfer, thermodynamic performance parameters, and quality indicators as well as physiochemical properties of dried products in artificial biomimetic technology (electronic nose, computer vision) and different conventional drying technologies. Furthermore, opportunities and limitations of AI technique in drying are also outlined to provide more ideas for researchers in this area. [ABSTRACT FROM AUTHOR]

The present study aimed at investigating the characteristics of monosodium glutamate (MSG) microcapsules. Spray-drying was used to prepare the microcapsules, in which the core material (MSG) was coated with gum Arabic (GA) and maltodextrin (MD), and the weight ratio of MD with GA was 1:2. The characteristics of microcapsules were evaluated by scanning electron microscopy (SEM), moisture content, particle size, Fourier-transform infrared (FTIR), differential scanning calorimeter (DSC), thermogravimetry analysis (TGA), release behavior, the flavor, and taste in hot-pot. Few concave wrinkles were observed on the quasispheres surface of microcapsules coated with GA and MD. The particle size of the microcapsules ranged from 14.00 to 30.00 µm in the mean diameter, and moisture content was 2.08%. An FTIR study indicated a successful packet of MSG by wall materials and the formation of MSG microcapsules during spray drying. Results of DSC and TGA showed that hybrid encapsulation was conducive to the improvement of thermal stability of MSG. In the release of hot-pot study, tests of slow-release, electronic nose, and electronic tongue demonstrated that MSG microcapsules were available in hot water conditions to release. The MSG microcapsules coated with GA and MD exhibited long time for slow-release. Therefore, spraying drying is a suitable approach to manufacture slow-released powdered microcapsules. [ABSTRACT FROM AUTHOR]