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Thermal cooking is one of the major application scenarios of edible oils in Chinese cooking. Cooking oil fume (COF), which is generated from edible oils during thermal cooking, is a complex mixture of solid particles, liquid droplets and gaseous volatile organic compounds (VOCs), and COF imposes adverse effects on both the indoor atmosphere and human health. In the present review, we first elucidate the compositional characteristics of the two major harmful substances in COF, particulate matter (PM) and VOCs and their emission status during the thermal cooking of edible oils, and then summarize the influences of COF exposure on human respiratory diseases and other related health risks. Next, the major factors that affect the composition and emission characteristics of COF are discussed from the perspectives of thermal cooking methods, types of cooking ingredients, and the quality and basic properties of edible oils. Finally, an outlook is given on the optimization of edible oil processing technologies based on the compositional characteristics of COF and the development of new processing technologies, raw materials and pathways for future edible oils in the future in order to achieve precise and moderate processing of edible oils that is green with low energy consumption and to produce high-quality, nutritious and healthy edible oils for use in Chinese cooking. This review could provide some references for the future development of edible oil and fat processing technologies, and may be of guiding significance to improving the nutritional quality and safety of edible oils and fats and even helping to achieve the national strategic goals of “Healthy China” and “Double Carbon”.

In the process of airborne radar parameters estimation, the adaptive sum and the difference beam can be distorted near the main lobe clutter region, and there is a coupling between the angle and Doppler frequency parameter estimated, which leads to severe degradation of the parameters estimation performance of the traditional sum and difference pulse estimation method. This paper proposes an adaptive iterative monopulse estimation method for airborne radar based on space-time constraints. This method firstly uses derivative constraints and zero point constraints to ensure that the formed difference beam is the optimal difference beam. Secondly, the generalized single pulse method is used to estimate the parameters, which solves the mutual coupling problem between multi-parameter estimation. Finally, it adopts an adaptive iterative method, which further improves the estimation accuracy of target parameters. The computer simulation results verify the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

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