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Summary Fruits and vegetables (F&V) provide people with a variety of essential vitamins, antioxidants and dietary fibre, thus constituting integral components of human diet. With the surge of interest in F&V, their consumption ratio has kept increasing in recent years. Unfortunately, microorganisms and pesticide residues on the surfaces of F&V may be hazardous to humans. As an emerging technology, electrolysed water (EW) shows great application potential in reducing these hazards. EW treatment not only effectively removes microorganisms from F&V but also degrades pesticide residues on their surfaces. In addition, EW treatment affects the physiological metabolism of harvested F&V, which is conducive to maintain their sensory quality and nutritional value. This article reviews the principles of EW preparation, advantages and disadvantages, and the application of EW in F&V in the last decade, including disinfection of irrigation water, removal of pesticide residues, disinfection after harvest its effects on physicochemical parameters and enzyme activity of F&V, etc. Moreover, the combination of EW and other technology, including ozone, short‐time heat treatment, ultraviolet irradiation and ultrasound, to further improve the quality control effects of F&V is discussed.

Near infrared hyperspectral imaging (NIR-HSI) with a spectral range of 900 to 1700 nm was for the first time used to predict the changes of sugar content in Lingwu jujube during storage. Monte Carlo method was adopted to detect outliers, and multiple scattering correction (MSC), standard normal variate transformation (SNV), and Baseline were used to optimize modeling. Competitive adaptive reweighted sampling (CARS), interval variable iterative space shrinkage approach (iVISSA), and interval random frog (IRF) were used to select optimal wavelengths. In addition, partial least square regression (PLSR) and support vector machine (SVM) modeling based on optimal wavelengths were compared. The results showed that 30, 30, and 24 wavelengths were selected by CARS; 106, 87, and 112 feature wavelengths were selected by iVISSA; and 96, 71, and 83 optimal wavelengths were selected by IRF for sucrose, fructose, and glucose, respectively. The CARS-PLSR models provided the best results for fructose and glucose, and iVISSA-SVM model was better for sucrose. The results indicated that NIR-HSI model may be used as a rapid and nondestructive method for the determination of sugar content in jujubes.

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In this work, to evaluate the role of acidic electrolyzed water (AEW) combined with vacuum precooling (VP) treatment in fresh goji preservation, the physicochemical properties and anti‐oxidation indexes of goji berries were compared between the AEW+VP‐treated and control (VP treatment) groups during storage at 4, 7, and 10°C. The results showed that AEW+VP could effectively inhibit the decrease in L* and a* values, reduce the respiratory rate, delay the loss of vitamin C content, and maintain higher total soluble solid (TSS) content. Compared to the control, AEW+VP‐treated goji maintained higher catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD) activity. Therefore, AEW+VP treatment could effectively improve the storage quality and extend the shelf life of fresh goji berries. Practical applications Acidic electrolyzed water, a clean and environmentally friendly preservation technology, combined with vacuum precooling extended the shelf life of fresh goji berries while delaying the aging of goji berries at different storage temperatures. In this sense, AEW+VP had certain stability in enhancing the storage quality and extending the shelf life of goji berries, which can be regarded as an effective strategy for promoting the preservation of agricultural products.