As consumer awareness of food quality and its grading continues to increase, there is a growing focus on developing effective, reliable and non-destructive methods for assessing food freshness. Aquatic product freshness indicators are typically constructed from sensitive materials and fixed carriers. These materials react with specific substances generated during the degradation process of aquatic product freshness, converting the chemical reaction results into signals that are easily observable and interpretable by consumers, such as color changes, electrical signals, or fluorescence signals. This review summarized the common sensitive materials used in aquatic product freshness indicators and their application progress. It particularly explored various preparation methods for these indicators, along with their advantages and limitations, including solution casting, spin coating, impregnation-drying, electrospinning, 2D printing, and 3D printing technologies. Additionally, strategies to enhance the performance of freshness indicators were discussed from multiple perspectives. The use of functional additives, encapsulation techniques, and chemical modifications could improve the stability of the indicators, while methods like dye blending, metal ion complexation, and colorimetric arrays had proven effective in enhancing their sensitivity. Finally, the article outlined the opportunities and challenges for future research in food freshness, aiming to provide insights for the development of intelligent food packaging freshness indicators.

With the continuous extension and increasing complexity of the global food supply chain, coupled with the rapid emergence of new business models, novel foods and innovative commercial practices, food fraud has become a growing concern and a global issue. In recent years, the risks posed by food fraud to food safety, public health and consumer confidence have been widely reported. This paper systematically reviewed the various definitions and classifications of food fraud currently recognized internationally, with a particular focus on analyzing the functionalities and applications of major global food fraud databases. It also summarized and analyzed mitigation measures for food fraud, guidelines and standards for vulnerability assessments, and related evaluation tools. Furthermore, the paper elaborated on the research progress in food fraud detection technologies, highlighting the applications and limitations of traditional detection methods, and explores the prospects of emerging technologies. Special emphasis was placed on the importance of integrating multiple detection technologies, big data, and artificial intelligence in enhancing detection efficiency and accuracy. Finally, the paper provided relevant recommendations, aiming to offer insights and references for addressing food fraud issues in China.

As the demand for meat products has risen sharply, ensuring the quality and freshness of meat has become a major challenge for the industry. It is known that meat spoilage is a complex biochemical process involving the action of microorganisms and the accumulation of various compounds, during which many characteristic substances are produced, such as biological amines, volatile basic nitrogen, hypoxanthine, hydrogen sulfide, etc. However, the traditional methods of freshness assessment are time-consuming and not precise enough to provide accurate detection results. Therefore, this review focused on introducing some emerging detection technologies, including biosensors, gas sensors, electronic noses, electronic tongues and spectroscopic techniques, covered their principles and applications. These technologies could not only rapidly and non-destructively assess the freshness of meat but also provided clear information on the overall safety and quality of meat products, reducing waste caused by spoilage. Finally, the review discussesed the trends of future meat freshness detection technologies, which were expected to become more advanced, intelligent and user-friendly providing more efficient and intelligent solutions for the food industry.

Foodborne pathogens contamination is a major global challenge in the field of food safety. Traditional detection methods are limited by issues such as time-consuming processes and complex operational requirements. In recent years, bacteriophage-based biosensors have emerged as a promising research focus for the detection of foodborne pathogens due to their high specificity, sensitivity, and rapid detection capabilities. Bacteriophages, acting as biological recognition elements, can specifically bind to target bacteria and achieve rapid detection through signal transduction methods such as optical, electrochemical and magnetic signals. This review systematically summarized the research progress in bacteriophage-based biosensors for foodborne pathogenic bacteria detection, with a particular focus on the design principles, technical advantages and application prospects of optical biosensors, electrochemical biosensors, magnetic biosensors, and multimodal/multifunctional integrated sensors. These sensors show great potential for applications in food safety, environmental monitoring and clinical diagnostics. In the future, as bacteriophage resources become more abundant and with the advancement and integration of bioinformatics and artificial intelligence technologies, bacteriophage-based biosensors are expected to enable the development of more efficient detection tools and large-scale applications. These advancements will provide robust technical support for food safety, environmental monitoring and clinical diagnostics, holding significant research and societal value.

Pesticide application is one of the effective measures to prevent crop diseases and insect pests in agricultural production. However, large-scale use of pesticides also brings food pesticide residues, which brings safety risks to human health. It is of great significance for food safety to clarify the spatial distribution and metabolic transfer pathway of pesticides in food. Traditional detection and analysis methods can only perform qualitative and quantitative analysis of pesticides, unable to directly observe their distribution in food. The emergence of mass spectrometry imaging technology has enabled visual analysis of pesticide residues in food, with advantages such as high sensitivity, high spatial resolution and ease of operation. It has become an important analytical tool for pesticide residue detection. This paper summarized the research progress of mass spectrometry imaging technology for pesticide residue detection in food over the past 5 years, both domestically and internationally. It focused on outlining the principles, characteristics and differences between various types of mass spectrometry imaging techniques. Additionally, it reviewed the application studies of mass spectrometry imaging technology in detecting pesticide residues in food (including different sources of food and different types of pesticides), finally analyzed the deficiencies and challenges of mass spectrometry imaging technology in pesticide residue detection, and proposed the future prospects. This paper aims to provide a reference for the research and innovation development of mass spectrometry imaging technology in pesticide residue detection.

Objective To establish a rapid analytical protocol for the detection of multiple pesticide residues in fruits and vegetables on bioluminescence inhibition of enzyme receptor. Methods Regarding sensitivity as the index of investigating, the effects of the extraction solvent and reaction time were separately investigated. The pretreatment protocol and detection conditions parameters were optimized. Then, the sensitivity, false positive rate, false negative rate and cross-reactivity of the method were evaluated. Results The findings demonstrated that the enzyme receptor bioluminescence technique was capable of concurrently identifying several pesticide residues within fruits and vegetables, with a sensitivity that complies with the GB 2763—2021 National food safety standards-Maximum residue limits of pesticides in food. The false negative rate was 0%, the false positive rate was less than 5%, and the cross-reactivity rate was less than or equal to 0.10%. Comparative analysis utilizing both the bioluminescence inhibition of enzyme receptor and the conventional national standard method was conducted on fruit and vegetable samples sourced from the market, yielding congruent results. Conclusion The bioluminescence inhibition of enzyme receptor established in the present study is deemed suitable for the rapid assessment of pesticide residues in fruits and vegetables. It is appropriated for oversight by local regulatory bodies and assists companies in improving their internal quality control, which is highly important for boosting the quick detection ability of pesticide residues.

Objective To establish a method for the rapid extraction of Datura stramonium Linn. seeds, Datura stramonium Linn. flowers, Datura stramonium Linn. shells, Datura stramonium Linn. leaves and Datura stramonium Linn. stems and simultaneous determination of scopolamine, racanisodamine and atropine by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Methods The Datura stramonium Linn. seeds were extracted with methanol, flowers were extracted with ethanol and others were extracted with 1% formic acid solution. An ACQUITY UPLC BEH C₁₈ (100 mm×2.1 mm, 1.7 μm) column was used for the qualitative and quantitative analysis of scopolamine, racanisodamine and atropine by external standard method in multiple reaction monitoring (MRM) mode using 0.1% formic acid aqueous solution-methanol as the mobile phase in a gradient elution and electrospray ionization with a positive ion source. Results Scopolamine, racanisodamine and atropine showed good linearity (r≥0.999) in the range of mass concentrations from 0.1 to 10.0 ng/mL. Limits of detection were 30-76 μg/kg, limits of quantitation were 80-253 μg/kg. The average recoveries of the 3 alkaloids at the low, medium and high spiked concentration levels ranged from were 81.9%-117.0%, and the relative standard deviations (RSDs) were 0.7%-7.2%. Conclusion The method is simple, rapid, accurate, can provide reliable technical support for the determination of scopolamine, racanisodamine and atropine in Datura stramonium Linn..

Objective To enhance the bioavailability of longan kernels, investigate the bioactive properties of their polyphenols from different cultivars. Methods In this study, polyphenolic compounds were extracted and purified from longan kernels of 8 cultivars (Chuliang, Daguangyan, Shuangzimu, Shuizhang, Fenglisui, Thai, Shixia and Fuyan). The antioxidant and antibacterial functions were analyzed by 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging capacity test, 2,2’-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) and inhibition zone experiment, and the differences among different varieties were compared Results Polyphenols from all longan kernels exhibited substantial antioxidant activity, with DPPH and ABTS highest scavenging rates reaching 98.70% and 91.88%, respectively. Moreover, these polyphenols effectively inhibited the growth of Staphylococcus aureus, Listeria monocytogenes and Bacillus subtilis, with inhibition zone diameters ranging from 17.0 to 22.6 mm. The results of the half-maximal inhibitory concentration of polyphenols extracted from longan kernels of different cultivars indicated that Shuangzimu longan exhibited the highest inhibition rate against Staphylococcus aureus, at 82.50%. Similarly, Shixia longan showed the highest inhibition rate against Listeria monocytogenes, at 84.60%. Thai longan had the highest inhibition rate of Bacillus subtilis, which was 83.8%. Correlation analysis showed that the correlation coefficients between total phenol content and DPPH free radical and ABTS cation free radical were higher than 0.9, indicating that 8 varieties of longan kernel polyphenols had good antioxidant capacity. The total phenol content of Fuyan longan showed medium correlation to its resistance to Bacillus subtilis and Listeria monocytogenes (correlation coefficient 0.8-0.9). Specifically, Shuangzimu and Shixia longans demonstrated inhibitory effects against Staphylococcus aureus, while Thai longan showed strong inhibitory ability against Bacillus subtilis, and Shuliang longan effectively inhibited Listeria monocytogenes. Conclusion This study investigates the variation in total phenolic content as well as the antioxidant and antibacterial properties of longan kernel polyphenols across different cultivars. These observed differences may provide targeted selection of longan kernel polyphenols for specific applications and serve as a reference for understanding their biological activities across cultivars.

Objective To explore a method for rapid detection of thiabendazole residue in dairy products using molecular fluorescence differential addition method. Methods The optimal experimental conditions for the molecular fluorescence differential addition method were determined through single factor experiments, and this method was applied to determine the content of thiabendazole in dairy products. Results The residue of thiabendazole in dairy products ranged from 0.1580 to 0.1611 mg/kg, with a limit of detection was 0.0018 μg/mL and a limit of quantification was 0.0060 μg/mL. The relative standard deviation of the results was 0.75% (n=6), and the recovery rates ranged from 99.4% to 106.7%. A comparison with GB 23200.87—2016 National standards for food safety-Determination of thiabendazole residues in milk and dairy products-Fluorescence spectrophotometry showed no significant differences between the two methods based on F-test and t-test analysis. Conclusion This method eliminates the need to construct a calibration curve and measure blank solutions, offering advantages such as simplicity, sensitivity, rapidity, high recovery rates and accurate results. The proposed method is suitable for the rapid detection of thiabendazole residue in dairy products and provides a new detection technique for the determination of thiabendazole residues in dairy products.

Objective To develop specific antibodies against Fusarium graminearum and establish a double-antibody sandwich-enzyme linked immunosorbent assay (DAS-ELISA) for detecting the contamination of Fusarium graminearum in Triticum aestivum. Methods The fungal lysate antigen of Fusarium graminearum was prepared by physical grinding. Monoclonal antibody (mAb) against Fusarium graminearum were developed using hybridoma technology. The performance parameters of mAbs, such as specificity and affinity, were measured. The optimal combination conditions of the prepared mAbs and polyclonal antibody (pAb) were explored using the checkerboard method, and then the DAS-ELISA method was established. The sensitivity and repeatability of the method were evaluated, and the method was applied to the detection of naturally infected Triticum aestivum samples. Results The mAb 1C4F3 and pAb FG2801 against Fusarium graminearum were successfully prepared. The mAb showed no cross-reaction with other fungi, indicating strong specificity. The affinity constant was 1.26×10⁷ L/mol, suggesting high affinity. A DAS-ELISA method for Fusarium graminearum was established, with a limit of detection of 1.223 μg/mg and a standard curve range of 1.56-100.00 μg/mg. The reliability of the method was verified by detecting 96 naturally infected samples collected from major Triticum aestivum-producing areas in China. A significant positive correlation was found between the content of Fusarium graminearum and the content of deoxynivalenol (DON) in the samples (r²=0.8897). Therefore, the DAS-ELISA could not only be used for the rapid detection of Fusarium graminearum but also for evaluating the DON contamination in the samples. Conclusion The DAS-ELISA developes in this study enables rapid and quantitative determination of Fusarium graminearum in Triticum aestivum. Simultaneously, it allows for a swift assessment of the DON contamination level in samples. Characterized by high accuracy and reliability, this method holds considerable application potential in monitoring Fusarium graminearum contamination in Triticum aestivum crops both in the field and post-harvest.