Journal of Food Process Engineering最新文献

The growing global emphasis on sustainable, plant-based proteins is showcasing more obscure Indian pulses like horse gram, moth bean, rice bean, winged bean, adzuki bean, khesari, and lablab bean. These pulses have a protein content (15%–45%) and essential amino acids as well as bioactive compounds that promote public health. Many of the species thrive in areas with drought potential, making them both nutrient-dense and robust in an adverse setting. Ultrasound-Assisted Extraction (UAE) has emerged as a possible green technology for utilizing these pulses. The UAE utilizes acoustic cavitation for cell wall disruption and shows significant improvement in protein recovery at pH 8–9 and 30°C–50°C with an ultrasound treatment time of 20–30 min, while also decreasing solvent and energy requirements relative to traditional methods. Besides yield, UAE also improved protein solubility, digestibility, and functionality, thereby characterizing these proteins for use in functional foods, nutraceuticals, plant-based products, including dairy replacements, health drinks, and meat substitutes. This review highlights the dietary importance, agricultural advantages and ecological benefits of lesser-known Indian pulses along with operational modalities and improvement measures of the UAE. Given the challenges like unknown variability of raw materials, and not enough clinical evidence, the UAE's use of sustainable technologies along with India's rapidly growing functional food market (expected value USD 10 billion by 2025) make it a strategic tool for sustainable agriculture, strengthening economic opportunities and addressing global nutritional needs.

Fruit bars are snack products obtained by mushing fruit, adding sugar, pectin, and other ingredients, and drying the resulting mixture. The aim of this study was to investigate the effects of spent coffee grounds (SCGs), a valuable waste product of the coffee industry, on the physicochemical and bioactive properties of a snack fruit bar enriched with bioactive properties after mushing apricot fruit. Results showed that apricot bars containing 2.5%, 5%, and 7.5% SCGs had higher phenolic, flavonoid, antioxidant activity (ABTS and DPPH), ascorbic acid, and total carotenoid contents compared to the control group. Especially, the fruit bar containing 7.5% SCG stood out in terms of tested bioactive properties. Therefore, it has been determined that the antioxidant and phenolic compounds found in SCGs are also reflected in fruit bars. Furthermore, α-amylase and lipase inhibition values were increased in the enriched fruit bars, and the potential of the developed fruit bars to exhibit antidiabetic and antiobesity properties was improved. Furthermore, the intestinal phase phenolic compound bioaccessibility values of the enriched fruit bars (87.40%–133.3%) were higher than the SCG-free control fruit bar (91.7%). The potential for creating an alternative product with improved nutritional and economic benefits by adding a waste product rich in bioactive compounds such as SCGs to the fruit bar formulation was evaluated. Such products could be considered a new alternative to a functional snack product group rich in bioactive substances that could be incorporated into today's diet.

To address fruit and branch damage in mechanized sea buckthorn harvesting, this study investigates the dynamic response and damage mechanisms using the Finite Element Method (FEM) and vibration experiments. Vibration parameters were analyzed via Continuous Wavelet Transform (CWT). Key mechanical properties of branches were determined, and a fruit detachment acceleration model, along with damage indices, was established. Results indicated a fruit rupture strength of 1.577 MPa. The main contribution lies in integrating multiple approaches to elucidate vibration-induced damage mechanisms and quantify critical harvesting parameters. The use of optimized vibration parameters, with a frequency of 16.3 Hz and an acceleration of 2.5 g (g = 9.80 m/s²), was shown to improve the fruit harvest rate while minimizing damage. This study offers essential technical insights for designing efficient sea buckthorn vibration harvesters.

Smallholder farmers are vital to agricultural development and food security in developing countries, but face challenges like water waste, land degradation, low crop yields, and high costs due to inefficient conventional irrigation systems. To overcome these challenges, this manuscript proposes a starfish optimization algorithm (SFOA) for the smart center pivot irrigation system (SCPIS), integrating IoT-based environmental monitoring for efficient small-farm management by minimizing water loss. The input data was collected from agriculture crop yield dataset. The proposed SFOA method is used to optimize environmental factors like temperature, humidity, and CO₂ concentration to improve crop growth and resource utilization. The major objective is to minimize water loss by making precision agriculture technology accessible and cost-effective for small farmers, while comparing irrigation strategies to evaluate crop yield, water savings, and use efficiency, and assessing Christiansen's uniformity coefficient (CU) and application efficiency to optimize water use and productivity. The performance of the proposed method is implemented and compared with various existing methods on the MATLAB platform, such as attractiveness-based particle swarm optimization (APSO), Anti-Coronavirus Optimization Algorithm (ACVO), and Genetic Algorithm (GA). The proposed SFOA method reduces its water usage to 35% and the annual benefit increases by 325$ per hectare, demonstrating its economic and environmental benefits improving irrigation efficiency and crop productivity compared to existing methods. The outcomes indicate that the proposed SFOA technique substantially improves irrigation efficiency, crop yield, and water conservation, while enhancing economic returns and energy savings, thereby providing both environmental and financial benefits for smallholder farmers.

To achieve rapid and accurate classification of coated corn varieties, a dataset containing five types of coated corn was constructed, with an original resolution of 640 × 640 pixels, comprising a total of 6715 images. In order to reduce the excessive reliance of classification models on dataset preprocessing, three improved modules—namely the ES-FCA Block structure, LSK-FourBranch Model structure, and WP convolution structure—were proposed based on the YOLOv8 model framework. These three improved modules were sequentially combined to build a new backbone network, leading to the development of a lightweight classification model with multistage downsampling for feature extraction (YOLOv8-ES-LSK), which is specifically designed for the classification of coated corn varieties. Compared with deep learning network models such as EfficientNet, EfficientViT, ViT, ResNet50, and YOLOv11-cls, the proposed model has demonstrated excellent experimental performance, with a maximum classification accuracy of 97.99%, and the number of parameters and computational complexity are 0.77 M and 1.8 FLOPs, respectively. Experimental results indicate that the approach of multiple downsampling-based feature extractions enables effective extraction of features from coated corn varieties with high similarity. Meanwhile, the proposed model achieves both efficient classification and lightweight and efficient performance. Specifically, model inference conducted via ONNX Runtime has yielded favorable classification results, laying a solid foundation for the potential deployment of the model on edge devices. Furthermore, we have also developed a complete set of coated corn sorting system, along with its accompanying nondestructive testing (NDT) software platform.

Fruit leathers offer an innovative and sustainable alternative for fruit preservation, extending shelf life and reducing food waste. This work aims to review and update the knowledge on the production of fruit leather. It analyzes their production process from fruit selection to the final product, with a special focus on formulation and employed drying techniques as well as their effects on preserving organoleptic and nutritional properties. In addition, this work gives information about the effect of additives on the final product quality. Furthermore, advances in the incorporation of hydrocolloids, sugars, and antioxidants to enhance texture, stability, and sensory acceptance are highlighted. This review highlights the lack of standardized analytical criteria, which complicates the comparison of findings across different studies in the field of fruit leather formulation and drying technologies. Promising drying technologies such as refractance window and cast-tape drying warrant further pilot-scale validation and techno-economic assessment. Expanding functional formulations and optimizing sustainability will be key to broader industrial adoption.