Objective To investigate the distribution of Escherichia coli (E. coli) contamination in fruits sold in some cities and counties of Hainan Province, and to analyze the isolates for drug resistance, aiming at identifying the risk of foodborne E. coli and evaluating its potential impact on food safety. Methods Isolation and identification of E. coli in samples and detection of drug resistance of E. coli isolates by VITEK 2 method. Results A total of 51 strains of E. coli were isolated from 240 fruit samples, with a detection rate of 21.3%. 19 strains of E. coli were drug-resistant, with a resistance rate of 37.3%, including 7 single-resistant and 12 multi-resistant strains. Comparative analysis of the distribution of E. coli in different regions and fruits showed that fruit species and sampling locations had a significant effect on the distribution of Escherichia coli. Conclusion The distribution of E. coli in commercially available fruits is widespread and drug-resistant, the detection of pathogenic bacteria distribution and drug resistance in fruits should be strengthened, and this study also provides an important reference basis for food safety management and monitoring.

As a new supervision mode, intelligent supervision is being explored in the field of food safety in China. By integrating modern information technologies such as big data, cloud computing, the Internet of Things and artificial intelligence, intelligent supervision aims to realize the whole-process monitoring, risk early warning and efficient response to food safety. This study aims to explore the application and prospect of smart supervision in the field of food safety. By integrating modern information technology, smart supervision can effectively improve supervision efficiency, reduce food safety risks, and enhance public confidence in food safety. At the same time, for the challenges faced by smart regulation, this paper discusses how to improve the legal and regulatory framework of smart regulation, strengthen technological innovation, enhance public participation, and how to build a multi-participation regulatory mechanism to ensure the healthy development of smart regulation in the field of food safety in China.

With the development of China’s economy, people’srequirements for water quality are getting higher and higher. In orderto protect water resources, we need to do a good job of water qualitymonitoring, real-time monitoring of water quality indicators, timelyfind the trend of water quality changes, and analysis and prediction.The accurate determination of the permanganate index $\left({\mathrm{{COD}}}_{\mathrm{{Mn}}}\right)$ ,as a key indicator for evaluating the degree of pollution by organicmatter and reductive inorganic matter in water bodies, is of greatsignificance. The purpose of this paper is to discuss the qualitycontrol methods during the determination of permanganate index in waterin order to improve the accuracy and reliability of the results.

University laboratory as an important base of scientific research and teaching, safety management is very important. Effective laboratory management plays an important role in ensuring the smooth operation of practical teaching and scientific research and the safety of teachers and students. This study focuses on the current situation and challenges of the safety management of specialized biological laboratories related to agriculture, focusing on four core elements of laboratory management system, reagent management, equipment management and waste liquid treatment. Through the construction of scientific management system, explore the safety management system of biological laboratories related to agriculture, aiming to improve the safety management ability of scientific research laboratories in local universities under the background of new agricultural science.

With the continuous deepening of the national institutional reform process, the social functions of drug regulatory departments have become increasingly prominent, and there is an urgent need to strengthen the implementation of responsibilities, improve the work framework system, and enhance the effectiveness of drug adverse reaction monitoring. Based on this, this article first introduces the importance of strengthening the monitoring of adverse drug reactions and analyzes the composition of the elements of adverse drug reaction monitoring. On the basis of exploring the current situation and difficult issues of adverse drug reaction monitoring by drug regulatory authorities, combined with relevant practical experience, this paper proposes methods and countermeasures for drug adverse reaction monitoring by drug regulatory authorities under institutional reform, including improving the establishment of monitoring institutions and strengthening the management of reporting units.

Objective To establish a rapid, accurate and sensitive gaschromatography-mass spectrometry (GC-MS) method for the detection ofdichloroacetic acid (DCA) and trichloroacetic acid (TCA) in drinkingwater samples, and to evaluate the performance and practical applicationof the method. Methods The samples were pretreated by liquid-liquidextraction derivatization technology and then analyzed by GC-MS. ${50\mu }\mathrm{L}$ and ${100\mu }\mathrm{L}$ of DCA and TCAstandards were prepared into mother solutions with concentrations of ${5\mu }\mathrm{g}/\mathrm{{mL}}$ and ${10\mu }\mathrm{g}/\mathrm{{mL}}$ ,respectively, and then diluted with methanol to form a series ofstandard solutions with concentration gradients for the establishment ofstandard curves. 1,2-Dibromopropane was used as the internal standardsubstance to prepare an internal standard extract of ${166.1\mu }\mathrm{g}/\mathrm{L}$ tocorrect the error in the sample analysis process. The spike recoveryexperiment was carried out on ultrapure water to evaluate the accuracyand precision of the method, and the detection limit of the method wasdetermined by the signal-to-noise ratio (S/N) method. Finally, 103drinking water samples were tested to analyze the contents of DCA andTCA. Results The linear ranges of the standard curves were $1 \sim {20}\mathrm{{\mug}}/\mathrm{{mL}}$ for DCA and $1\sim {40}\mathrm{{\mu g}}/\mathrm{{mL}}$ for TCA, withcorrelation coefficients $\left({r}^{2}\right)$ greater than 0.99,recoveries of 99.4%~114.3%, RSDs less than 3.541%, and detection limitsof ${0.1\mu }\mathrm{g}/\mathrm{L}$ and ${0.2\mu }\mathrm{g}/\mathrm{L}$ for DCA and TCA, respectively. The contents of DCA and TCA in 103drinking water samples were lower than the national standard limits,with average concentrations of ${0.25\mu}\mathrm{g}/\mathrm{L}$ and ${0.48\mu}\mathrm{g}/\mathrm{L}$ , respectively, and the data werestatistically significant $\left({P<{0.05}}\right)$ . Conclusion The GC-MS method has good linearity, accuracy, precision and sensitivity, and can meet the needs of drinking water safety monitoring. The method was applied to 103 drinking water samples, and the results showed that the drinking water quality met the national standards and was not seriously contaminated by DCA and TCA.

Total nitrogen, as a fundamental indicator for water quality monitoring, is an important indicator for measuring the degree of water pollution, self purification status, and eutrophication. It is of great significance for evaluating water quality and protecting the ecological environment. This article explores the main factors affecting the detection process of total nitrogen in water using ultraviolet digestion spectrophotometry. By optimizing the detection process through methods such as sample self influencing factors, digestion process control, and reagent and drug purification, the problem of high experimental blank has been effectively solved, and the reliability and accuracy of the detection have been improved.

With the deepening of double first-class"construction in Chinese universities, the introduction of a large number of scientific research talents, the rapid expansion of scientific research laboratories, the laboratories of science and technology departments are facing the dilemma of limited space and unreasonable layout, at the same time, safety check tasks at all levels are continuously detailed, quantified and standardized. In view of the lack of professional safety inspection personnel, heavy safety inspection tasks, hidden danger rectification is not in place and other problems, this paper puts forward solutions at the college level. This paper explores how to optimize the existing safety inspection system at the college level, and systematically and professionally carry out special rectification of the safety hazards in the laboratory under its jurisdiction. In practice, explore how to better mobilize resources such as lab safety officers and students so that lab safety becomes a habit that can be cultivated, which in turn promotes lab safety at the college and university levels.

As the core component of the current power system of automobiles, the durability of key components has a decisive impact on the overall performance and safety of the vehicle. The purpose of this article is to explore an efficient method for evaluating the durability of core components of automotive engines, in order to improve the reliability of components and the safety of the entire vehicle. The article examines the current development trend of durability assessment technology and analyzes the limitations of existing technologies. Propose a comprehensive evaluation method that integrates experimental verification and numerical simulation, which can effectively evaluate the durability of components in different working environments. Through experimental verification and data analysis, the accuracy and efficiency of the proposed method were verified, and future research directions and improvement suggestions were predicted and anticipated.

This study aims to respond to the call of the Dali Bai Autonomous Prefecture Ecological Environment Bureau to intensify monitoring of the Erhai Lake area and its main rivers, and conduct long-term and continuous monitoring of the chemical oxygen demand (COD) and dissolved oxygen (DO) in the river channel entering Erhai Lake in Dali Manjiang. By deeply analyzing nearly 170 sets of monitoring data and drawing a relationship diagram between COD and DO, we have a deep understanding of the relationship between these two water quality indicators in the river channel entering Erhai Lake in Dali Manjiang. This study not only provides strong data support for further monitoring and control of the river channel entering Erhai Lake, but also provides a scientific basis for promoting the protection of Erhai Lake. By revealing the relationship between COD and DO, it is possible to more accurately assess the water quality of the river channel entering Erhai Lake, so as to more effectively formulate and implement environmental protection measures and contribute to the sustainable and healthy development of the ecological environment of Erhai Lake.