Objective This study was aimed at the accurate determination of heavy metals in water quality by inductively coupled plasma mass spectrometry (ICP-MS), so as to improve the analysis accuracy and provide scientific basis for water quality monitoring. Methods The water samples were collected for filtration and acidification. Agilent 7700x was used to detect lead, cadmium, arsenic and mercury according to EPA 6020B standard. The power, argon flow rate and sample introduction rate were optimized. Results The single factor analysis of variance showed that the optimized ICP-MS significantly improved the sensitivity and accuracy of heavy metal detection. RSD was less than 5% in repeated experiments, and the recovery rate was 95%~105%. Conclusion This study successfully improved the accuracy of water quality analysis, and the optimization method provided reliable technical support for environmental monitoring.

Objective The application of quality control chart in the quantitative detection of Staphylococcus aureus in milk was discussed by collecting the routine detection process of Staphylococcus aureus in milk and testing the results of Staphylococcus aureus in quality control samples simultaneously. Methods Monitoring the detection data by utilizing the center line of the single value control chart and the moving range control chart, an upper warning limit, a lower warning limit, an upper control limit and a lower control limit, standard error and data point inside and outside the boundary of the range control chart are used to monitor and evaluate the laboratory detection process, and the status of the personnel, instruments and reagents in the experimental detection process is judged. Results By observing the range of test data and analyzing the distribution characteristics and changes of data, the results showed that single value control chart and moving range control chart could effectively monitor the detection process of Staphylococcus aureus in milk, and the data results were reliable. Conclusion The construction of the quality control chart provides an effective means of food hygiene quality control for laboratory testing of the project, and helps to promote the smooth development of the quality control work in the laboratory testing process.

Water quality safety is the key to ensuring human health and sustainable social development. With the increase of pollutants and the upgrading of detection technology, multi-parameter analyzers play a core role in water quality detection. This article reveals the important role of multi-parameter analyzers in efficient and accurate assessment of water quality. Special attention was paid to its outstanding performance in the detection of heavy metals, toxic substances and microbial contamination, and its significant advantages such as high efficiency, automation, multi-parameter simultaneous detection and remote monitoring were detailed. The development trend of miniaturization, intelligence and networking of multi-parameter analysis instruments provides important technical support and scientific basis for improving the efficiency and accuracy of water quality detection, ensuring water quality safety, and promoting ecological protection and sustainable development. And provide a more rigorous and scientific reference basis for the design and implementation of similar testing projects.

This paper discusses the significance of the construction of open sharing platform for large instruments and equipment, and analyzes the main problems existing in the construction of large instrument sharing platform in local undergraduate colleges, such as insufficient investment funds, imperfect sharing mechanism, weak testing level and insufficient utilization of instruments and equipment. The paper puts forward some practical suggestions on the construction of the open sharing platform of large instruments and equipment by increasing the capital investment, improving the open sharing mechanism, assembling and strengthening the experimental technical team, and developing and mining the testing

With the rapid development of technology and the deepening of digital transformation, inspection and testing institutions are confronted with significant challenges in the digitization and intelligent transformation of equipment management. This paper aimed to discuss the application of intelligent equipment management in inspection and testing institutions, analyze the current status of equipment management in inspection and testing institutions, point out existing problems and shortcomings, and propose specific scenarios for the application of artificial intelligence, big data analysis, automation control and Internet of things technology in intelligent equipment management, so as to achieve equipment predictive maintenance and optimize equipment resource allocation, remote control and information sharing to improve the efficiency of equipment management, ensure the quality of testing, to meet the increasingly complex testing needs. This paper also discussed the advantages of digital intelligent management in improving instrument and equipment testing efficiency, ensuring testing quality and reducing operating costs, summarized the important role of digital intelligent management in inspection and testing institutions, looked forward to the future trend, and put forward development suggestions, in order to provide reference and reference for promoting the digitalization and intelligent transformation of equipment management in inspection and testing institutions.

With the rapid development of China's economic market, the safety evaluation of mechanical and electrical products has become a key link for enterprises to enhance their competitiveness. Through the application of systematic functional risk assessment, the standardization and scientific nature of safety evaluation of mechanical and electrical products can be improved. This paper mainly analyzes the difference between mechanical and electrical product safety evaluation and general evaluation and the specific application of functional hazard assessment in mechanical and electrical product safety evaluation. The results show that functional hazard assessment can comprehensively and scientifically evaluate the safety performance of mechanical and electrical products, and provide strong support for the selection of products with higher cost performance. It also provides useful reference and guidance for practical application, and further promotes the development of safety evaluation of electromechanical products in our country.

Objective To optimize the ultrasonic extraction technologyof flavonoids, polyphenols and saponins from Mirabilis himalaica, and toevaluate their antioxidant activities. Methods Based on the singlefactor tests of ethanol concentration, liquid-solid ratio, extractiontemperature and extraction time, Box-Behnken response surface method wasused to optimize the extraction process of flavonoids, polyphenols andsaponins. The antioxidant activity of DPPH, ABTS, superoxide anion andhydroxyl radical was investigated in vitro. Results The optimizedultrasonic extraction technology was ${60}\%$ ethanol concentration, ${30}\mathrm{\;{mL}}/\mathrm{g}$ liquid-solid ratio, 50℃ extractiontemperature and 55 min extraction time. The extracts had strongscavenging effect on free radicals. Conclusion It is proved that theoptimized ultrasonic extraction technology of flavonoids, polyphenolsand saponins from Mirabilis himalaica is reasonable, and the extractshave antioxidant activity in vitro.

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.

Objective Gray mold is an important disease in thestrawberry production process, which seriously affects its yield andquality. This article aims to study the resistance of gray moldpathogens in different strawberry production areas in Zhejiang Provinceto fludioxonil, in order to clarify the current use status and futuremedication strategies of this fungicide. Methods This article uses themycelial growth rate method to conduct indoor toxicity testing on 184strains isolated from strawberry gray mold disease samples in 7 regionsof Zhejiang Province, in order to determine their sensitivity tofludioxonitril and count the frequency of occurrence of resistant andsensitive strains. Results The results showed that the strawberry graymold strain in Quzhou area had the highest sensitivity to fludioxonil,with an average ${\mathrm{{EC}}}_{50}$ value of ${0.014\mu }\mathrm{g}/\mathrm{{mL}}$ ,while the strawberry gray mold strain in Huzhou area had the lowestsensitivity to fludioxonil, with an average ${\mathrm{{EC}}}_{50}$ value of ${0.032\mu }\mathrm{g}/\mathrm{{mL}}$ and asensitivity baseline of ${0.018\mu}\mathrm{g}/\mathrm{{mL}}$ and the sensitive baseline value forthe whole province is ${0.018\mu}\mathrm{g}/\mathrm{{mL}}$ . Conclusion At present, a few lowresistant strains have appeared in the Zhejiang region, indicating thatthe strawberry gray mold fungus has developed certain resistance tofludioxonitril. The sensitivity baseline value has increased compared toprevious research results, but the overall level of drug resistance isstill controllable.

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.