Objective To study and analyze the mycotoxins contamination status of Castanea mollissima in Huairou District during one year of cold storage. Methods Taking Castanea mollissima produced in Huairou District as the research object. Castanea mollissima samples of 5 varieties, including 3113, Huaijiu, Huaihuang, Yanhong, and Huahua were collected from the 4 highest yielding townships in Huairou District. They were stored in a cold storage for one year and sampled once a month. The content of 21 kinds of fungal toxins was determined by ultra performance liquid chromatography-mass spectrometry. Results During the storage period, a total of 11 fungal toxins were detected, including tentoxin, alternariol, tenuazonic acid, nivalenol, zearalenone, fumonisin B₁, fumonisin B₂, fumonisin B₃, alternariolmethylether, ochratoxin A, and sterigmatocystin. The detection rate and value of Alternaria toxins were relatively high. According to the analysis of sampling locations, the number of fungal toxins detected in the 4 townships increased from 66 to 79, with no significant difference or clear pattern. Based on the analysis of storage time, the number of fungal toxins detected in chestnuts showed an overall upward trend with the extension of storage time. The detection rate of fungal toxins was relatively low in the 1 to 6 months of storage, with 4-5 cases detected each month. By the 7th month, the detection of fungal toxins increased to 12 cases, and from the 9th month onwards, all 17 samples were detected. Conclusion The Castanea mollissima shall be consumed and processed less than 6 months of storage after harvest according to the perspective of mycotoxins contamination. The overall detection rate of fungal toxins shows a monthly upward trend. There is no regularity in the detection of fungal toxins in different chestnut planting areas and varieties, and there is co-contamination in Castanea mollissima samples during storage. Further analysis and research on the pollution risk of Alternaria toxins in chestnuts is needed.

In recent years, the impact of the food supply chain on carbon emissions has become a topic of great concern. Therefore, under the national “dual carbon” and “healthy China” strategies, the emergence of plant-based foods, represented by plant-based meat products, can simultaneously meet the national demand for low-carbon transformation and the increasing consumer demand for high-protein food intake, while optimizing the dietary structure of residents and improving their nutritional and health levels. This article elaborated on the main processing technologies of plant-based meat products, introduced the research progress of 3 main nutritional components of protein, dietary fiber, and lipids in plant-based meat products, and provided a systematic review of the health functions of consuming plant-based meat products, such as improving cardiovascular diseases, preventing obesity, maintaining intestinal health, and enhancing physical exercise functions. The aim is to promote the green and sustainable development of the food industry through the production of low-carbon emission meat products, build a healthy dietary pattern, improve the health level of the people, and provide a certain theoretical basis for the further research and development of plant-based meat products.

Objective To evaluate the effect of Phyllanthus emblica L. and Lyciumbarbarum L. compound on sleep improvement in mice. Methods Balb-c mice were used as the research subjects and randomly divided into 5 groups: Control group, positive drug group, low-dose group of Phyllanthus emblica L. and Lyciumbarbarum L. compound (3.75 g/kg), medium-dose group (7.50 g/kg), and high-dose group (15.00 g/kg). Each mice received a single dose daily for 30 consecutive days. The efficacy in improving sleep in mice was assessed through direct sleep experiments, pentobarbital sodium subthreshold dose hypnosis experiments, pentobarbital sodium sleep time extension experiments, and barbiturate sodium sleep latency experiments. Additionally, the levels of 5-hydroxytryptamine (5-HT), dopamine (DA), tryptophan hydroxylase (TPH), and γ-aminobutyric acid (GABA) in the brain tissue of mice were measured using enzyme-linked immunosorbent assay colorimetric kits. Results The results showed that compared with the control group, the 3 dose groups of the combination of Phyllanthus emblica L. and Lyciumbarbarum L. compound increased the sleep rate of mice by 50%, 70%, and 90%, respectively. Additionally, all 3 dose groups significantly prolonged the pentobarbital sodium-induced sleep time in mice (P<0.01), and the high-dose group had a significantly longer sleep time than the positive drug group (P<0.01). Furthermore, the medium and high-dose groups of Phyllanthus emblica L. and Lyciumbarbarum L. compound significantly shortened the sleep latency of mice (P<0.05 or P<0.01). The measurement of neurotransmitter indicators showed that compared with the control group, the Phyllanthus emblica L. and Lyciumbarbarum L. compound, significantly increased the levels of 5-HT and GABA in the brain tissue of mice (P<0.01 or P<0.05) and significantly reduced the content of DA (P<0.01). However, it had no significant effect on the TPH content in the brain tissue of mice (P>0.05). Conclusion The Phyllanthus emblica L. and Lyciumbarbarum L. compound has a significant effect on improving sleep in mice.

Anthocyanidins are important secondary metabolites in tea plant with significant health benefits, such as antioxidant and anti-inflammatory properties, as well as prevention of cardiovascular diseases. They play a key role in the coloration of purple tea leaves, and their biosynthesis is regulated by both endogenous and exogenous factors. This paper systematically reviewed the metabolic regulation mechanism of anthocyanin in tea plant, with emphasis on discussing different varieties and characteristics of purple tea, biosynthesis pathways, regulatory networks, the influence of external environments, degradation mechanisms, and prospected the future research direction, so as to better analyze the molecular regulation mechanism of anthocyanin biosynthesis in tea leaves, accurately regulate leaf color in tea plant artificially, and provide reference value for cultivating anthocyanin-rich tea plant varieties.

Objective To explore the factors affecting the accuracy of sulfur dioxide detection in preserves and its quality control. Methods Adopt internal quality control measures such as blank experiments, negative matrix testing, negative matrix labeling, quality control sample testing, and personnel parallelism and external quality control to conduct sulfur dioxide testing on preserved fruits. Verifyed the experimental effect with Z value, in depth discussion and analysed of the problems encountered in the process of sulfur dioxide detection and their solutions. Propose technical points for controlling and eliminating experimental deviations. Results The laboratory had passed measurement review and proficiency testing by the series of quality control measures formulated. Conclusion GB 5009.34—2022 National standards for food safety-Determination of sulfur dioxide in food acid-base titration method for detecting sulfur dioxide in food is prone to result deviation. This study proposes the development of various quality control measures, problems encountered during the detection process and their solutions, technical points for controlling and eliminating experimental deviation, which can help improve the accuracy of sulfur dioxide detection, and provide experimental references for other testing institutions to carry out this project.

Objective To detect aflatoxin B₁ (AFB₁) in peanut oil by laser induced fluorescence and explore the effects of temperature on the detection results. Methods The spectral information of AFB₁ contaminated peanut oil at temperatures of 10, 20, 30, 40 and 50 ℃ was collected, linear discriminant analysis (LDA) model was established for qualitative analysis, and partial least squares regression model was established for quantitative analysis. Results The accuracy of the single-temperature LDA detection model in predicting samples at this single temperature exceeded 84%. The global LDA model was lower prediction accuracy than the single-temperature LDA model. The partial least squares regression (PLSR) model could not achieve quantitative prediction at either single temperature or mixed temperature. The PLSR quantitative model developed for single-variety peanut oil demonstrated optimal stability at 20 °C, yielding the most accurate sample predictions. Conclusion This study proposes that a global model can be established during qualitative discriminant analysis to adapt to the impact of temperature on the detection process. In quantitative analysis, the single temperature model can achieve more accurate predictions than the global model.

Objective To prepare of Lycium barbarum and Hordeum vulgare lozenges and study of its safety quality. Methods The wolfberry and barley were ground into powder and sifted, mixed 1:1 into Lycium barbarum and Hordeum vulgare powder, kneaded into a dough with butter, and put into a grinding tool for tablet drying. The determination of toxic and harmful microorganisms and basic nutritional indexes including moisture, ash, protein, fat and starch was carried out on Lycium barbarum and Hordeum vulgare lozenges. The sensory evaluation team will score the product for sensory evaluation. Results No toxic and harmful components were detected in the lozenges of Lycium barbarum and Hordeum vulgare, and the moisture content was about 5.84%. The ash content was about 3.34%. The protein content was about 12.34%. The fat content was about 17.01%. The starch content was about 47.35%. The finished lozenge had uniform color and no special spots, complete shape without breakage, smooth taste with slight graininess, and moderate sweetness and sourness. Conclusion In this study, the utilization rate of wolfberry was improved by combining wolfberry and highland barley into lozenges, which promote the development of highland barley industry and provide a new way for wolfberry-related products.

Chinese sour bamboo shoot, as a traditional fermented food, is mainly made from fresh bamboo shoots through natural fermentation or inoculated fermentation. It is widely popular in Southern China due to its unique flavor and rich nutritional content. Sour bamboo shoots are rich in cellulose, vitamins, minerals, and various beneficial microorganisms, offering significant nutritional value. Their distinctive sour taste and aroma primarily originate from volatile and non-volatile compounds produced during the fermentation process, including lactic acid, acetic acid, esters, and alcohols. In recent years, with the development of modern fermentation technology, researchers have made significant progress in the selection of fermentation strains, optimization of fermentation conditions, and product quality control of sour bamboo shoots. This article reviewed the main nutritional components, flavor compounds, and the research progress of its fermentation technology, providing a theoretical basis for improving the production process of pickled bamboo shoots, enhancing product flavor quality, and achieving standardized production.

Objective To establish a method for the determination of advanced glycation end products (AGEs) and 5-hydroxymethylfurfural (5-HMF) in loquat fruit paste by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Methods AGEs solution was obtained by extracting loquat fruit paste with pure water and treating with ultrasonic, centrifugation, solid-phase extraction and ammonia methanol solution elution, then separated by using gradient elution with 0.1% formic acid in water and methanol as the mobile phase. The detection method employed multi-reaction monitoring with positive ion. The 5-HMF solution was obtained by extracting the fruit paste in pure water, followed a liquid-liquid extraction with ethyl acetate, solid-phase extraction and 10% methanol elution. The extracts were analyzed at 30 ℃ with 10% methanol in water as mobile phase. Results It was found that the linearity of all the targets was good in the concentration range. The limits of detection and limits of quantification of each target substance were lower than 1 [AGEs/(ng/mL); 5-HMF/(µg/mL)], which could fulfill the requirements of detecting trace substances. The relative standard deviations (RSDs) of all the substances were less than 10%, and lower than 0.6% in the range of 16 hours of sample waiting time. The recoveries of all the substances were higher than 85%. Conclusion Results indicate that the method meet the basic requirement for quantitative analysis and has good accuracy and stability, which offers a detection means of studying on quality and safety of heat-processed fruit and vegetables.

Objective To establish a method for the determination of 8 kinds of fungal toxins in rice noodles with liquid-liquid dispersion extraction and multifunctional purification by high performance liquid chromatography-tandem mass spectrometry. Methods Rice noodle samples were added with isotopic internal standards, and extracted by shaking with acetonitrile water (80:20, V:V) for 25 min. After liquid-liquid dispersion extraction, a multifunctional purification column was used for purification. The 8 kinds of target compounds were separated on HSS T3 column, with acetonitrile-water (0.1% formic acid) used as the mobile phase for gradient elution, and detected under positive and negative ionization and multiple reaction monitoring mode, determined with retention time and characteristic ion pairs, quantified with internal standard method. Results This method had a good linear relationship in detecting 8 kinds of fungal toxins within the corresponding range. The correlation coefficients (r) of the target compounds were 0.9954-0.9998. The limits of detection were 0.10-10.00 μg/kg, and the limits of quantification were 0.30-30.00 μg/kg. The average recoveries of rice noodle samples at low, middle and high standard additions were 75.8%-112.0%, and the relative standard deviations were 2.9%-5.9%. The detection and analysis of 8 kinds of fungal toxins in 21 kinds of rice noodle samples in the market showed that all the toxins were detected except HT-2. Conclusion The pretreatment of sample is simple, the method is accurate and sensitive, which can be used to determine the content of 8 kinds of fungal toxins in rice noodles.