Foods最新文献

The pistachio nut (Pistacia vera L.) is a rich and high-quality source of protein, as is its waste. This study investigated the potentials of pistachio nut waste proteins to obtain bioactive peptides exhibiting antioxidative and antibacterial activities, and their amino acid profile. Enzymatic hydrolysis with pepsin, trypsin, chymotrypsin, and savinase was applied to the pistachio protein isolate (PPI) obtained from pistachio waste. In addition, solid-state fermentation (SSF) was applied to defatted pistachio with Bacillus subtilis, and peptides were produced. The highest degree of hydrolysis was obtained at 28.2% by using pepsin (p < 0.05). The highest ABTS radical scavenging activity was found as 232 µmol TE/g defatted pistachio (d.b.) for trypsin hydrolysate (p < 0.05). The maximum DPPH radical scavenging activity was found as 70.2 µmol TE/g defatted pistachio (d.b.) by hydrolysis with savinase. After gel filtration, the highest ABTS radical scavenging activity was found to be 0.1166 mg TE/mL in the T7 sample (p < 0.05), while the highest DPPH scavenging activity was found to be 0.0573 mg TE/mL in the S8 sample (p < 0.05). The sample showing the highest antibacterial activity was chymotrypsin hydrolysate with MIC = 0.378 mg/mL against Staphylococcus aureus. The total amino acid contents (TAA) of PPI, hydrolysate samples, and the SSF sample ranged from 63.136 to 76.665 g/100 g protein. It was also seen that proteins and peptides obtained from pistachio waste have a rich amino acid profile, especially Asp and Tyr, and good antioxidant activity.

Enzyme technology, characterized by high efficiency, environmental compatibility, and precise controllability, has become a pivotal biocatalytic approach for quality enhancement and nutritional improvement in modern food industries. This review summarizes recent advances and underlying mechanisms of enzyme applications in food processing optimization, nutritional enhancement, and functional food development. In terms of process optimization, enzymes such as transglutaminase, laccase, and peroxidase enhance protein crosslinking, thereby markedly improving the texture and stability of dairy products, meat products, and plant-based protein systems. Proteases and lipases play essential roles in flavor development, maturation, and modulation of sensory attributes. From a nutritional perspective, enzymatic hydrolysis significantly improves the bioavailability of proteins, minerals, and dietary fibers, while simultaneously degrading antinutritional factors and harmful compounds, including phytic acid, tannins, food allergens, and acrylamide, thus contributing to improved food safety and nutritional balance. With respect to functional innovation, enzyme-directed production of bioactive peptides has demonstrated notable antihypertensive, antioxidant, and immunomodulatory activities. In addition, enzymatic synthesis of functional oligosaccharides and rare sugars, glycosylation-based modification of polyphenols, and enzyme-assisted extraction of plant bioactive compounds provide novel strategies and technological support for the development of functional foods. Owing to their high specificity and eco-friendly nature, enzyme technologies are driving food and nutrition sciences toward more precise, personalized, and sustainable development pathways. Despite these advances, critical research gaps remain, particularly in the limited mechanistic understanding of enzyme behavior in complex food matrices, the insufficient integration of multi-omics data with enzymatic process design, and the challenges associated with translating laboratory-scale enzymatic strategies into robust, data-driven, and scalable industrial applications.

Cicada black tea is made from Empoasca onukii-infested tea leaves. The biochemical differences between Cicada black tea and regular black tea, and the dynamic changes in volatile components during processing, remain unclear. This study focused on the withering and fermentation stages, which most significantly affect the quality of black tea, to systematically investigate cicada black tea aroma formation. Ninety volatile compounds were identified, among which 12 key volatiles significantly contributed to the aroma characteristics. During withering, floral and fruity aromas were enhanced. Fermentation primarily intensified honey-like and sweet notes, which were mainly regulated by carotenoid-derived volatiles with low odor thresholds, such as β-Damascenone. Withering to a moisture content of 55% (17 h) and fermenting for 5 h comprised the optimal processing parameters to achieve the best aroma attributes. These insights into the mechanism of Cicada black tea aroma formation will lead to improved processing techniques to enhance its unique flavor.

Packaged discretionary foods that are energy-dense and nutrient-poor are widely available in the current food environment, potentially contributing to overconsumption and excessive energy intake over time. Factors such as on-pack visual cues (for example, front-of-pack image and food units per serving) and structural features (for example, package transparency) have an important role in nudging consumers towards better portion control. As little is known regarding the presence of these features on packaged discretionary foods in the current retail context, this study aimed to examine the presence of such cues on packaged discretionary foods in Australian supermarkets. Six common packaged snacks were selected: ice-cream, chocolate, lollies, sweet biscuits, savoury biscuits and crisps. Data were collected by in-store visits and using retail websites. A total of 1930 products were included; the majority were share packs (n = 1419, 73.5%), followed by multipacks (n = 385, 19.9%) and single packs (n = 126, 6.5%). Less than half of the share pack products (47%) had front-of-pack images aligned with the manufacturer-suggested serving sizes on the Nutrition Information Panel. Structural features, including transparency, partitioning and resealability, were less common and identified in less than 30% of packaged snacks. Overall, the findings showed that on-pack visual cues and structural features are not commonly used for portion control in packaged discretionary foods in Australian retail settings. Opportunities exist to improve on-pack cues and guides to support better portion size decisions.

This is the first investigation that attempts to synthesize chitosan-loaded vanillin nanoformulation (vanillin-Nf) as a novel edible coating agent to prolong the storage life of Indian gooseberry (amla). Different concentrations of vanillin were encapsulated into chitosan via ionic gelation approach using sodium tripolyphosphate as a cross-linker. Vanillin-Nf 1:1 (w/v) exhibited maximum loading capacity (2.502 ± 0.008%) and encapsulation efficiency (54.483 ± 1.165%). The physico-chemical characterization of vanillin-Nf through SEM, DLS, FT-IR, and XRD techniques confirmed effective incorporation of vanillin into the chitosan biomatrix and formation of spherical nanocapsules, with a mean particle size of 232.83 nm, zeta potential +69.66 mV, and polydispersity index 0.296. The in vitro release profile of vanillin exhibited a biphasic and regulated release pattern. The application of vanillin-Nf as an edible coating solution on amla (Phyllanthus emblica L.) fruits was highly effective in reducing decay incidence up to 42.84% and extended their shelf-life to 15 days at 25 ± 2 °C. The vanillin-Nf coating significantly reduced weight loss in amla fruits (24.39 ± 1.02%) in comparison to control. In addition, vanillin-Nf coating also helped in preserving the key quality parameters, including pH, chlorophyll content, total soluble solids, total phenols, and antioxidant capacity of Indian gooseberries to a substantial extent at the end of storage. Collectively, our findings indicate that vanillin-Nf coating is an effective post-harvest approach for controlling decay, prolonging shelf-life, and maintaining the nutritional attributes of Indian gooseberries, highlighting its potential for commercial application in the food and agriculture industry.

Aronia melanocarpa, a plant with nutrient-rich fruits, with application in the food and pharmaceutical industry, has been extensively investigated but, nevertheless, the exploration of the secondary metabolites profile from its by-products remains quite limited. The main objective of this study was to evaluate the possibility of using some different natural mineral waters from Romania, as green solvents, for the extraction of bioactive compounds from aronia stems and fruits by applying eco-compatible working techniques (maceration for 24 h, and ultrasonication at room temperature and 50 °C for 30 min). The effect of five natural mineral waters (one with medium and four with low mineral content) on the extraction capacity and phytochemical profile of stems and fruits' extracts was monitored using fast and efficient analysis techniques (electrochemical, spectroscopic, and chromatographic) and compared with that of classical solvents. The results showed that, in the case of stems, extraction by maceration was, for all types of water used, the most efficient, followed by ultrasonication at room temperature. Also, at the same time, in most cases, all mineral waters showed better performance than distilled water, and the highest efficiency of the extraction process was recorded for natural water with a medium mineralization level. The similarity observed in the phytochemical profiles of aqueous extracts from the aronia stems and the fruits highlights both the potential of this by-product as a source of bioactive compounds and the efficiency of natural mineral waters as green extraction solvents.

To improve the gel quality of low-salt shrimp surimi gel (SSG) from Pacific white shrimp (Litopenaeus vannamei), L-arginine (L-Arg), L-lysine (L-Lys), and L-proline (L-Pro) were used as partial substitutes for NaCl. The effect of the three amino acids on gel properties, protein conformation, microstructure, and in vitro digestion of low-salt SSG were systematically analyzed. Macro-/microstructural analyses revealed that L-Arg, L-Lys, and L-Pro promoted denser three-dimensional networks in low-salt SSG with smaller pore sizes. Compared with the low-salt control (LC) group, the addition of L-Arg, L-Lys, and L-Pro significantly increased the gel strength of low-salt SSG. Cooking loss was significantly decreased from 10.80% (LC group) to 1.89-4.31%. Protein solubility and turbidity results demonstrated that all amino acids markedly enhanced protein solubilization and inhibited protein aggregation. L-Arg and L-Lys mainly promoted hydrogen and disulfide bonds, but reduced hydrophobic interactions and ionic bonds. L-Arg impaired digestibility only in the gastric phase, whereas L-Lys suppressed digestibility across both gastric and intestinal phases. Through molecular docking technology, ASN-238 and LYS-187 of myosin (the dominant gel-forming protein) are the key shared binding residues with three amino acids. These findings suggest that amino acids provide a feasible approach to specifically modulate the gel characteristics of low-salt surimi products.

This study aimed to systematically optimize the fermentation process for xylanase production by Aspergillus tubingensis FS7Y52, elucidate its enzymatic properties, and evaluate its application potential in the biodegradation of agricultural wastes. Key influencing factors were initially identified through single-factor experiments, followed by the screening of significant factors using the Plackett-Burman design. The optimal values were then approached employing the steepest ascent path method and Response Surface Methodology. The final determined optimal fermentation conditions were: corn husk (20-40 mesh) 40 g/L, tryptone 13.7 g/L, Tween-20 0.75 g/L, pH 6.5, fermentation temperature 42.1 °C, fermentation time 2 days, shaking speed 140 rpm, inoculum size 1 × 10⁷ spores/30 mL, and liquid loading volume 30 mL/250 mL. Under these conditions, xylanase activity reached 115.23 U/mL, representing a significant increase of 90.7% compared to pre-optimization levels. Studies on enzymatic properties revealed that the enzyme exhibited maximum activity at pH 5.0 and 55 °C, and demonstrated good stability within the pH range of 4.5-7.0 and at temperatures below 50 °C. In the degradation of agricultural waste, the enzyme system produced by this strain exhibits significant degradation effects on agricultural waste. A pronounced additive effect exists between xylanase and cellulase. When the dosages were 2430 U/g and 15.7 U/g for xylanase and cellulase, respectively, the maximum reducing sugar release reached 23.3%. The degradation rates of cellulose, hemicellulose, and lignin reached 57.8%, 51.9%, and 55.0%, respectively. Additionally, the strain itself exhibits significant degradation effects on substances such as cellulose in agricultural waste, achieving degradation rates of 78.8%, 70.8%, and 52.5% for cellulose, hemicellulose, and lignin, respectively. This study provides a solid theoretical foundation and technical support for the efficient production of xylanase by A. tubingensis and its industrial application in the resource utilization of agricultural wastes. From an economic perspective, the optimized strategy significantly enhances enzyme production efficiency while reducing substrate consumption and operational costs per unit of enzyme produced. This makes the resulting enzyme mixture more economically viable for large-scale applications. The utilization of this enzyme system to convert tobacco stems into sugars represents a compelling case for agricultural wastes reuse. It transforms residual biomass into high-value products, contributing to a circular bioeconomy by reducing waste and creating new renewable alternatives to conventional products. It provides an economically viable solution for the high-value utilization of woody lignocellulosic biomass.

With the sustained expansion of global meat consumption, advanced freezing and thawing technologies have become essential to preserve quality and extend shelf life within the food supply chain. This review systematically consolidates recent progress by examining fundamental principles, conventional techniques, emerging multi-physics methods (e.g., high-pressure-, ultrasound-, and electric field-assisted processing), and the integration of artificial intelligence (AI). It details the mechanism of ice-crystal formation and its impact on meat quality attributes. While conventional methods remain prevalent, their limitations in controlling ice crystallization are evident. Emerging technologies demonstrate superior capability in regulating ice morphology, thereby mitigating cellular damage. AI applications, including numerical simulation, quality monitoring via machine learning, and predictive modeling of thawing parameters, show considerable potential to enhance processing efficiency-though challenges in data scarcity and model generalizability remain. Collectively, these advancements form an integrated "theory-technology-intelligence" framework, supporting the development of more sustainable, efficient, and quality-focused meat processing systems.

To enhance the screening efficiency of bioactive peptides, an AI-driven approach was employed to screen DPP-IV inhibitory peptides from goat blood proteins by an integrated in silico, in vitro, and machine learning strategy. Furthermore, the inhibitory mechanism of DPP-IV inhibitory peptides was elucidated by kinetics, molecular docking and simulation. Additionally, their in vitro digestive stability was assessed. In silico results revealed that goat blood proteins were promising precursors of DPP-IV inhibitory peptides, while bromelain was the optimal protease. Their peptide sequences were further identified by peptidomics and predicted by self-developed machine learning models (LightGBM) to identify the potent DPP-IV inhibitory peptides. Two novel DPP-IV inhibitory peptides were identified (FPL and FPHFDL). Enzyme kinetics, molecular docking and molecular simulation data indicated that FPL served as a competitive inhibitor, whereas FPHFDL was a non-competitive inhibitor. Overall, the integrative in silico and in vitro strategy is feasible for rapid screening of DPP-IV inhibitory peptides from goat blood proteins.