Search Results (290)

Reducing post-harvest losses of cereal crops is a key challenge for ensuring global food security amid the limited arable land and growing population. This study investigates the effectiveness of electron beam irradiation (5 MeV, ILU-10 accelerator) as a physical decontamination method for various cereal crops cultivated in Kazakhstan. Samples were irradiated at doses ranging from 1 to 5 kGy, and microbiological indicators—including Quantity of Mesophilic Aerobic and Facultative Anaerobic Microorganisms (QMAFAnM), yeasts, and molds—were quantified according to national standards. Experimental results demonstrated an exponential decline in microbial contamination, with a >99% reduction achieved at doses of 4–5 kGy. The modeled inactivation kinetics showed strong agreement with the experimental data: R² = 0.995 for QMAFAnM and R² = 0.948 for mold, confirming the reliability of the exponential decay models. Additionally, key quality parameters—including protein content, moisture, and gluten—were evaluated post-irradiation. The results showed that protein levels remained largely stable across all doses, while slight but statistically insignificant fluctuations were observed in moisture and gluten contents. Principal component analysis and scatterplot matrix visualization confirmed clustering patterns related to radiation dose and crop type. The findings substantiate the feasibility of electron beam treatment as a scalable and safe technology for improving the microbiological quality and storage stability of cereal crops. Full article

Molds readily grow on wet books, documents, and other library materials where they ruin them chemically, mechanically, and aesthetically. Poor maintenance of libraries, failures of Heating, Ventilation, and Air Conditioning (HVAC) systems, roof leaks, and storm damage leading to flooding can all result in accelerated fungal growth. Moreover, when fungal spores are present at high concentrations in the air, they can be linked to severe respiratory conditions and possibly to other adverse health effects in humans. Climate change and the accompanying storms and floods are making the dual potential of fungi to biodegrade library holdings and harm human health more common. This essay is intended for microbiologists without much background in mycology who are called in to help librarians who are dealing with mold outbreaks in libraries. Our goal is to demystify aspects of fungal taxonomy, morphology, and nomenclature while also recommending guidelines for minimizing mold contamination in library collections. Full article

Pleurotus ostreatus is a mushroom species renowned for its abundant nutritional and medicinal properties. Nevertheless, the yield of its fruiting bodies has long remained at a standstill, making it arduous to achieve substantial improvements. Because the traditional composting approach for enhancing the yield of Pleurotus ostreatus has drawbacks such as a long duration and a high susceptibility to mold contamination, incorporating nutritional supplements into the culture medium of P. ostreatus has emerged as a relatively straightforward yet effective approach to enhancing its yield. This study was predicated on the roles of nucleotides and nucleosides in cellular metabolism and signal transduction. These substances were applied during the cultivation process of P. ostreatus to investigate their impact on the growth and nutritional composition of this mushroom. The findings of this study demonstrate that the supplementation of nucleotides and nucleosides not only improved the yield and biological efficiency of P. ostreatus but also increased its dietary fiber content and amino acids. Furthermore, this research has disclosed that nucleotides and nucleosides exert a notable influence on the lignocellulolytic enzyme system. This investigation provides a scientific foundation for the development of novel yields—enhancing agents for P. ostreatus and offering new insights into cultivation techniques for the progress of P. ostreatus cultivation techniques in both academic and practical arenas. Full article

This study investigates hazardous emissions from foundry binder systems, comparing organic resins (phenolic urethane, furan, and alkaline-phenolic) and clay-bonded green sand with inorganic alternatives (sodium silicate and geopolymer). The research was conducted at the Fundaciόn Azterlan pilot plant (Spain), involving controlled chamber tests for the production of 60 kg iron alloy castings in 110 kg sand molds. The molds were evaluated under two configurations: homogeneous systems, where both mold and cores were manufactured using the same binder (five trials), and heterogeneous systems, where different binders were used for mold and cores (four trials). Each mold was placed in a metallic box fitted with a lid and an integrated gas extraction duct. The lid remained open during pouring and was closed immediately afterward to enable efficient evacuation of casting gases through the extraction system. Although the box was not completely airtight, it was designed to direct most exhaust gases through the duct. Along the extraction system line, different sampling instruments were strategically located for the precise measurement of contaminants: volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), phenol, multiple forms of particulate matter (including crystalline silica content), and gases produced during pyrolysis. Across the nine trials, inorganic binders demonstrated significant reductions in gas emissions and priority pollutants, achieving decreases of over 90% in BTEX compounds (benzene, toluene, ethylbenzene, and xylene) and over 94% in PAHs compared to organic systems. Gas emissions were also substantially reduced, with CO emissions lowered by over 30%, NO_x by more than 98%, and SO₂ by over 75%. Conducted under the Greencasting LIFE project (LIFE 21 ENV/FI/101074439), this work provides empirical evidence supporting sodium silicate and geopolymer binders as viable, sustainable solutions for minimizing occupational and ecological risks in metal casting processes. Full article

Maize is one of the most important agricultural crops that has been cultivated in the Republic of Croatia for centuries. Fusarium mycotoxins as secondary metabolites of molds that naturally contaminate maize crops can have negative effects on human and animal health, but also on economic aspects. The aim of this study was to monitor the trend of natural occurrence of Fusarium mycotoxins in maize crops from Croatia during a period of 10 years, from 2014 to 2024. A total of 1285 maize samples were analyzed for the contents of zearalenone (ZEN), deoxynivalenol (DON), fumonisins B (FUM) and T-2/HT-2 toxin (T-2/HT-2) using validated ELISA methods. A high occurrence of the analyzed mycotoxins was found in all years examined, e.g., for ZEN 15–64%, DON 47–95%, FUM 60–96% and T-2/HT-2 24–89%. In addition, their concentrations ranged from 3.2–10,990 μg/kg, 18–25,000 μg/kg, 29–18,180 μg/kg and 9–595 μg/kg, respectively. The mycotoxin concentrations were found to differ from year to year, with an increasing trend observed for FUM and T-2/HT-2 in terms of concentrations and an increasing trend in the occurrence of all mycotoxins, with the exception of T-2/HT-2. Full article

The presence of filamentous fungi with toxigenic ability from the Aspergillus genera is frequently found in maize kernels, and this can lead to decay and mycotoxin contamination of the kernels. In this study, we morphologically and molecularly characterized 45 isolates of Aspergillus section Nigri originating from maize and small grains (wheat, triticale, and spelt) in Serbia. Based on morphological traits, they were classified into two morpho groups. Representative isolates from both morpho groups were further molecularly characterized through sequencing of ITS, CaM and RPB2 genes in order to compare species composition, which could affect specific mycotoxicological risks. Morpho GroupI was molecularly identified as Aspergillus welwitschiae and morpho GroupII as Aspergillus tubingensis. Phylogenetic analysis of the CaM gene revealed that the Serbian Aspergillus welwitschiae isolate belongs to the H8 haplotype, while A. tubingensis isolates clustered into two subclusters. This is the first report of A. tubingensis as the causal agent of black mold of small grains (wheat, triticale and spelt) in Serbia. This distribution underscores the ecological preferences of species within the genus Aspergillus Section Nigri across various agricultural products. It emphasizes the importance of comprehending their occurrence, distribution, aggressiveness and potential for mycotoxin production in food safety assessments. Full article

Staphylococcus aureus (S. aureus) poses a significant threat to public health and safety, and enhancing the monitoring of S. aureus in food is essential to curb and prevent foodborne transmission. In order to obtain strains for more convenient and rapid use in quality control or quantitative analysis, this study designed a ready-to-use “ball-in-ball” microsphere based on a novel cryoprotectant combined with drop freeze-drying technology. When using a cryoprotectant that contains 1.5% bovine serum albumin, 4.5% trehalose, 8.2% polyethylene glycol 8000, and 4.1% D-mannitol, the survival rate of S. aureus can reach 98.2 ± 2.6%. This cryoprotectant effectively prevents S. aureus from shrinking, deforming, and damaging cell walls. Additionally, it shows desirable protective efficiency for other Gram-positive bacteria. The molding of microspheres is efficient and cost-effective, demonstrating good uniformity and stability without the need for pre-freezing. The moisture content and the count of S. aureus showed no significant changes over 90 days at −20 °C. In the simulated contaminated sample, the recovery rate of S. aureus in milk and green tea was 83.1–93.7%. This study could provide a practical approach to improve the monitoring efficiency of S. aureus and shows potential as a generalized strategy for preparing ready-to-use strains related to food safety. Full article

Conventional horticultural fertilization frequently leads to nutrient loss and environmental contamination, driving interest in biodegradable controlled-release systems. This work developed soy protein isolate (SPI) matrices containing 5 wt.% FeSO₄·7H₂O using injection. The matrices were evaluated for crosslinking, mechanical properties, water uptake (WUC), soluble matter loss (SML), iron-release kinetics in water and soil, and biodegradability under composting conditions. Injection-molded samples achieved very high crosslinking with moderate rigidity and water absorption and delivered iron rapidly in water, while compression-molded samples exhibited slightly lower crosslinking but greater stiffness, higher WUC, minimal SML, and sustained iron release. Notably, both processing methods yielded comparable iron-release profiles in soil and complete biodegradation within 71 days. Overall, compression molding produces SPI-based matrices with superior mechanical strength and water retention, positioning them as an ideal solution for long-lasting, sustainable nutrient delivery in horticulture. Full article

Honey is a sugar-rich product produced by Apis mellifera bees, with significant variability in properties due to the influence of geographic and climatic conditions and the predominant flora in the production region. Economically, beekeeping is an activity that generates profit and fulfills environmental and social functions, reinforcing the pillars of sustainability. This study aimed to characterize samples of honey sold in southern Brazil, including physicochemical analyses, the detection of microbiological contaminants with potential impact on human health, and the detailed identification of bacterial composition through the Next-Generation Sequencing (NGS). The present study was divided into five main stages: (1) sample collection; (2) sample fractionation; (3) physicochemical analysis; (4) microbiological analysis; (5) 16S metataxonomy analysis. The physicochemical analyses agreed with the regulated values, indicating the good quality of the honey and the absence of adulteration. The microbiological analyses indicated the absence of Salmonella spp., in addition to a low count of total coliforms. The limits for molds and yeasts were exceeded in three samples, indicating non-compliance with current MERCOSUR legislation. Metabarcoding analysis identified a total of 15,736 OTUs divided into three different genera: Bacillus (41.54%), Lysinnibacillus, and Rossellomorea, all belonging to the Bacillaceae family. Some pathogenic species were identified, namely the Bacillus cereus group and Bacillus pumilus. Our results point to an increased need for surveillance, as honey contamination can lead to public health problems, requiring improvements in legislation and control parameters. Full article

Seed quality is vital for agricultural productivity, as it directly influences the crop yield and resilience to environmental stressors. This study evaluated the effectiveness of a pulsed electric field (PEF) treatment in enhancing the tomato (Solanum lycopersicum) seed quality, seedling growth, and microbial safety. Tomato seeds were treated with PEFs at energy levels ranging from 1.07 to 17.28 J, and several parameters were assessed, including the germination rate, normal seedling development, tolerance to cold and salinity stress, electrical conductivity, and microbial inactivation. The highest germination rate (72.81%) was observed at 15.36 J on the seventh day of germination, whereas the highest normal seedling rate (94.62%) was recorded at 17.28 J (p ≤ 0.05). The germination under cold stress (5 days at 24 °C) was highest, with a 46.67% germination observed at both 1.92 and 10.88 J. PEF-treated seeds exposed to 100 and 200 mM of NaCl exhibited significantly improved germination compared to the controls (p ≤ 0.05). The electrical conductivity (EC) was more influenced by the incubation time than by the PEF intensity, as the EC of all samples showed a significant increase from 4 to 8 h. The samples treated with 17.28 J exhibited the highest germination rates under salt stress, reaching 62.00 ± 0.90% and 50.00 ± 0.60% under 100 mM and 200 mM of NaCl, respectively (p ≤ 0.05). The initial mean counts of the total mesophilic aerobic bacteria and the total mold and yeast—4.00 ± 0.03 and 3.06 ± 0.03 log cfu/g, respectively—were reduced to undetectable levels by the application of 17.28 J, with higher energy levels yielding greater inactivation. These findings demonstrate that the PEF is a promising technique for enhancing seed quality, promoting seedling vigor, and reducing microbial contamination, supporting its application in sustainable agriculture. Full article

Automated food safety inspection systems rely heavily on the visual detection of contamination, spoilage, and foreign objects in food products. Current approaches typically require extensive labeled training data for each specific hazard type, limiting generalizability to novel or rare safety issues. We propose a zero-shot detection framework for visual food safety hazards that enables the identification of previously unseen contamination types without requiring explicit training examples. Our approach adapts and extends the Knowledge-Enhanced Feature Synthesizer (KEFS) methodology to the food safety domain by constructing a specialized knowledge graph that encodes visual safety attributes and their correlations with food categories. We introduce a Food Safety Knowledge Graph (FSKG) that models the relationships between 26 food categories and 48 visual safety attributes (e.g., discoloration, mold patterns, foreign material characteristics) extracted from food safety databases and expert knowledge. Using this graph as the prior knowledge, our system synthesizes discriminative visual features for unseen hazard classes through a multi-source graph fusion module and region feature diffusion model. Experiments on our newly constructed Food Safety Visual Hazards (FSVH) dataset demonstrate that our approach achieves 63.7% mAP in zero-shot hazard detection, outperforming state-of-the-art general zero-shot detection methods by 6.9%. Furthermore, our framework demonstrates robust generalization to fine-grained novel hazard categories while maintaining high detection performance (59.8% harmonic mean) in generalized zero-shot scenarios where both seen and unseen hazards may occur simultaneously. This work represents a significant advancement toward automated, generalizable food safety inspection systems capable of adapting to emerging visual hazards without a costly retraining process. Full article

Penicillium expansum, a major postharvest pathogen, causes blue mold decay in apples, resulting in substantial economic losses and mycotoxin contamination. Despite the importance of effector proteins in fungal pathogenicity, the role of metalloproteases in P. expansum remains unclear. Here, we characterize an effector candidate, PeMep, through whole genome sequencing and functional analyses. Functional validation confirmed the secretory capacity of its signal peptide via yeast assays and subcellular localization. Deletion of PeMep significantly impaired fungal growth (23% reduction), conidiation (23.3% decrease), and germination efficiency. The ΔPeMep mutant exhibited hypersensitivity to osmotic, oxidative, and thermal stresses, highlighting its vital role in environmental adaptability. Importantly, pathogenicity assays revealed attenuated virulence in the ΔPeMep mutant, with 15–30% smaller lesion sizes on apples and delayed hyphal penetration compared to the wild-type, demonstrating that PeMep is essential for the pathogenic process of P. expansum 3.3703. These findings identify PeMep as a potential multifunctional effector protein crucial for fungal development, environmental adaptation, and pathogenicity in P. expansum 3.3703, providing a novel target for postharvest disease management. Full article

Aspergillus flavus, a common food contaminant, poses health and economic risks. Previous research showed that recombinant Puroindoline B protein (rPINB) inhibited A. flavus by disrupting its cell wall, membrane, nuclear function, mitochondrial activity, and oxidative stress. This study used transcriptome technology to explore the impact of rPINB on A. flavus gene expression and created gene deletion strains to test the sensitivity to rPINB. RNA-Seq identified the differentially expressed genes (DEGs) affecting cell wall synthesis, membrane transport, oxidative stress, spore formation, and aflatoxin production. The MFS transporter genes AFLA_106900 (mfs1) and AFLA_106910 (mfs2) were crucial for an inhibitory effect of rPINB. The mutants exhibited reduced sensitivity to rPINB-mediated inhibition, indicating lower growth, sunken conidia, and shriveled hyphae, compared to the wild-type strain. The results also demonstrated decreased sensitivity to the stress agents affecting cell membranes, osmotic balance, and oxidation, alongside a significant reduction in AFB1 production in gene-deleted strains. These results suggested that mfs1 and mfs2 were essential for rPINB protein’s inhibition of A. flavus growth, laying the groundwork for the mold control strategies using plant proteins. Full article

The rapid growth of the world’s population is generating escalating demands for food production. Global food demand is expected to increase by 35% to 56% between 2010 and 2050. Therefore, food mass production is becoming more challenging. The chemicalization of food production, processing, transport, packaging, and storage is almost impossible to avoid. These factors, along with environmental pollution, contribute to the increase in food product contamination. Xenobiotics appearing in food, including a variety of toxic substances (heavy metals, acrylamide, polycyclic aromatic hydrocarbons), and pathogens (pathogenic bacteria, fungi, molds, and yeast-producing mycotoxins) can threaten consumers’ safety and have negative economic implications. In this regard, the introduction of effective detoxification methods appears to be very important. It can be accomplished by physical, chemical, and biological means. Many reports have proved that probiotics are useful in food biodetoxification. Probiotics effectively reduce food contamination (at various stages of food production) and, moreover, annihilate toxins present in the human body. Many in vitro studies have confirmed the biodetoxification properties of probiotics, demonstrating that they diminish the toxic effects of the main types of food contaminants (heavy metals, polycyclic aromatic hydrocarbons, pesticides, mycotoxins, nitrates and nitrites, acrylamide, alkylphenols, biogenic amines, and dioxins). Probiotics produce various bioactive compounds, including antimutagenic, antioxidant, and anti-carcinogenic compounds. Their protective and beneficial influence on human microbiota can modulate host inflammatory processes, inhibit carcinogenesis, and modify immune resistance. Detoxification with probiotics is environment-friendly and, unlike physical and chemical methods, does not adversely affect the nutritional value and quality of food. In addition, probiotics in food are associated with well-known human health benefits; therefore, as a functional food, they have gained common consumer acceptance. The large-scale application of biodetoxification methods in both agriculture and the food industry is a challenge for the future. Based on contemporary research, this review provides the mechanism of probiotic biodetoxification, possible applications of various probiotics, and future trends. Full article

Cereal grains and nuts are the world’s most produced food and the economic backbone of many countries. Food safety in these commodities is crucial, as they are highly susceptible to mold growth and mycotoxin contamination in warm, humid environments. This review explores hyperspectral imaging (HSI) integrated with machine learning (ML) algorithms as a promising approach for detecting and quantifying mycotoxins in cereal grains and nuts. This study aims to (1) critically evaluate current non-destructive techniques for processing these foods and the applications of ML in identifying mycotoxins through HSI, and (2) highlight challenges and potential future research directions to enhance the reliability and efficiency of these detection systems. The ML algorithms showed effectiveness in classifying and quantifying mycotoxins in grains and nuts, with HSI systems increasingly adopted in industrial settings. Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. This review contributes to a deeper understanding of the integration of HSI and ML for food safety applications in cereal grains and nuts. By identifying current challenges and future research directions, it provides valuable insights for advancing non-destructive mycotoxin detection methods in the food industry using HSI. Full article