Graphical Abstract

Microwave heating was applied to isomerize maltose to maltulose, using arginine as a catalyst. The energy absorbed per unit volume of the reaction solution (energy density) was calculated and at an energy density of 600 J/mL, the highest maltulose yield (28%–30%) was obtained.

Progressive stirred freeze concentration was applied to three craft beers, evaluating the effect of operative parameters over the vital statistics of beer. Furthermore, a response optimization allows for changes in the ethanol content, total solids, color, and bitterness, possibly classifying them as new beer styles.

It is important to understand the effect of different farming systems on the engineering properties and nutritional quality of the coconut. These data are essential to modify the primary and secondary post-harvest processing equipments and to improve the performance of the equipments.

Through the application of air-drying at room temperature, it is possible to produce crystallized fruits with the low-calorie sugar allulose, and the application of UV-A light dehydration can potentially recover the osmotic sugar solutions for their reutilization.

This study explored the impact of aqueous ozone treatment on chlorpyrifos degradation in cucumbers, optimizing conditions using both response surface methodology (RSM) and artificial neural network-genetic algorithm (ANN-GA). While both models demonstrated high predictability, the ANN optimized conditions surpassed RSM in chlorpyrifos degradation, resulting in enhanced physicochemical and microbial qualities in cucumbers.

The results of this study indicated that HHP was able to modify the functional properties of SPI at different temperature and pH conditions.

Kinetic modeling of valuable phenolic compounds extraction from strawberry and apple agro-industrial by-products helps food industry to reduce the environmental impact by standardizing the extraction process and promoting sustainable practices valorizing these biowastes.

Three methods were used to upgrade and maintenance the model, which are based on updated data, direct correction-based method, and similar band-based method. And the prediction model was established after combining the CARS method for wavelength selection to compare the prediction effect of different models.

The deep-bed drying kinetics and thermodynamic parameters of high-moisture parboiled paddy (ASD-16) were investigated using a reversible airflow fixed bed dryer (RAFBD). The RAFBD—designed for energy efficiency, cost-effectiveness, and reliability—proved effective in drying 30 kg of ASD-16 with hot air temperatures ranging from 50 to 80°C and velocities of 0.1 and 0.15 m/s.

This research aimed to study the inactivation of polyphenol oxidase and peroxidase enzymes in standardized pineapple juice (22°Brix/acid) during continuous ohmic heating. Inactivation kinetic modeling showed that the Weibull distribution model was the best-fit kinetic model to predict enzyme inactivation based on statistical parameters and Akaike information criteria.

To address the problem of poor crack recognition in poultry eggs under fixed light-source intensity (LSI), an online detection system using adaptive LSI for eggshell cracks detection is initially developed.

Pulsed light treatment effictively reduces microbial load in RTD mango juice with added short chain fructooligosaccharides while retaining quality attributes.

Pearl millet starch nanoparticles enhance film thickness and mechanical strength. Its nanoparticles improve moisture resistance and water vapor barrier properties. Enhanced water solubility in films with starch nanoparticles indicates improved water resistance. The composite films with starch nanoparticles demonstrate elevated biodegradability.

This study pioneers the improvement of screw pressing for fodder radish seed oil extraction, comparing it with hydraulic pressing and Soxhlet extraction. The focus is on assessing oil yield, throughput, and fatty acid composition through response surface methodology. The oil extracted under optimized conditions meets quality standards.

A multi-physical field simulation model was used to simulate the heat and mass transfer of carrot rotating motion under the microwave electric field, focusing on the influence of different intermittent times on carrot drying quality. Five modes with different intermittent schedules were designed and compared with simulation and experiment.

An oscillating heat pipe has been implemented on a rice paddy dryer to harness energy from residual heat. The study indicates that the duration of drying is directly influenced by the thickness of the paddy layer. The occurrence of multimodal behavior is observed in the thicker layer of paddy due to the requirement of the hot air to first undergo the drying process for the lower layer before proceeding to dry the upper layer. Upon installation of the oscillating heat pipe, energy consumption is decreased by 39.4%–63.7%.

The effect of ultrasound (US) as pretreatment and during osmotic dehydration (OD) was evaluated. US affected the solids gain and water loss from carrots during OD and US during OD resulted in better quality of products.

This study utilized salts-sensitive colorimetric sensor array (CSA) and hyperspectral imaging (HSI) system combined with multivariate analysis to realizing the quantitative detection of salt, moisture and lipid content of salted duck eggs. The results showed that salt-sensitive CSA and the HSI system performed well in detecting salted duck eggs.

This study compared five target detection algorithms and four lightweight target detection networks to select the optimal model. Subsequently, improvements were made to the ESNet network and Soft EIoUNMS to enhance the accuracy and inference speed of lightweight detection for densely packed millet. The challenges of precise millet detection in complex scenarios were successfully addressed.

Applying purely chemical-free modification method of roasting, that is dry-heat treatment, on hulled Kodo starch within restricted moisture (15%–20%), for a very short time (45–90 s), was evaluated on its physicochemical properties.

Convective drying of banana slices with US application is numerically simulated. The technique uses an optimization algorithm to determine D and h, rather than conventional slope-based methods. A cosine-type function was adequate to describe D's behavior. Simulated results are in agreement with experimental results.

Prediction models were constructed to determine the ages of eggs by using spectroscopy and chemometrics.

Need-based tank cleaning approach: Cleaning jet pathways of adaptive jet cleaner corresponding to assumed cleaning intensity of tank geometries with different fouling characteristics.

Development, discussion, and validation of a new modeling approach for the extraction of bioactive compounds from by-products using natural deep eutectic solvents. In this work, the extraction of phenolic compounds from spent coffee grounds was analyzed. This new approach overcomes some gaps related to the kinetic extraction models and the surface response methodology.

Energy-efficient and cleaner method of nanofiltration is applied to concentrate the rutin from the model plant extract. A scale-up setup has been designed and simulated to check the feasibility of the process at the commercial level.

The quality attributes of extruded snacks, including expansion, density, hardness, crispiness, crystallinity, and morphology, are notably influenced by mung bean flour content, barrel temperature, and feed moisture. Mung bean flour offers a promising option for improving snack quality, reducing starch digestibility, and increasing available protein for digestion.

• Our study delves into the application of AI technology in pivotal areas, including carcass categorization, automation, intelligent processing, and the detection of meat quality.
• Our study is expected to inspire further research on AI technology in the meat processing industry and provide a reference for researchers.

This study addresses global food access challenges, highlighting the impact of population growth. It explores atmospheric and subatmospheric drying methods, emphasizing the effectiveness of solar drying for energy savings. The review delves into artificial neural networks for predictive modeling in food drying, revealing a growing interest in environmentally friendly and energy-efficient drying techniques, including ultrasonic, infrared radiation, and electrohydrodynamic methods for improved control and shorter durations.

Pulsed electric field would be a very promising technology for drying fruits and vegetables by enhancing drying while maintaining or enhancing the nutritional quality of the final products.