Objective To evaluate the uncertainty evaluation for the determination of imidacloprid in Caidian lotus root by ultra performance liquid chromatography-tandem quadrupole mass spectrometry. Methods According to GB/T 20769 - 2008 Determination of 450 pesticides and related chemicals residues in fruits and vegetables-Liquid chromatography-tandem mass spectrometry, the content of imidacloprid in Caidian lotus root was determined and the mathematical model was built. According to the provisions of JJF 1135-2005 Evaluation of measurement uncertainty in chemical analysis and JJF 10591-2012 Technical specification for evaluation and representation of measurement uncertainty, the uncertainty was quantified by scientific analysis, and the extended uncertainty of imidacloprid content in Caidian lotus root　was finally calculated. Results When the residue imidacloprid in Caidian　lotus root was ${0.322}\mathrm{{mg}}/\mathrm{{kg}}$ , the　relative standard synthetic uncertainty was 0.08689 and the expanded　uncertainty was ${0.0560}\mathrm{{mg}}/\mathrm{{kg}}$ . The　determination results were　 $\left({{0.322}\pm {0.0560}}\right)\mathrm{{mg}}/\mathrm{{kg}},P ={95}\%, k = 2$ . Conclusion The main sources of uncertainty in　the determination of imidacloprid in Caidian lotus root by ultra　performance liquid chromatography-tandem quadrupole mass spectrometry　are the preparation of standard solution, sample pretreatment and　measurement process of the measuring instrument.

With the continuous development of China's manufacturing industry and the increase in international trade, the requirements for product quality and safety are constantly increasing. Enterprises need to establish a modern and comprehensive laboratory to provide strong technical support for themselves and ensure the quality and international competitiveness of their products. Taking the laboratory construction of auto parts manufacturing enterprises as an example, this paper studied the process and method of industrial product testing laboratory construction, summarized the general process and method of laboratory construction, Including needs assessment and project planning, site selection and space design, equipment procurement and installation, personnel recruitment and training, quality management system establishment, laboratory safety and environmental protection, laboratory information and digitization, continuous improvement and technological innovation, etc., and put forward relevant suggestions to provide theoretical reference for the construction of related laboratories.

Objective Analyze and evaluate the measurement uncertainty of phenylethanolamine A residue in beef using liquid chromatography tandem mass spectrometry. Methods By analyzing the detection process and mathematical model, the main sources of uncertainty in the residual amount of phenylethanolamine A are determined: uncertainty caused by detection equipment, uncertainty caused by standard and sample weighing, uncertainty caused by laboratory temperature, uncertainty caused by transfer and constant volume, uncertainty caused by sample pretreatment, and uncertainty caused by experimental repeatability. Results The measurement uncertainty of each component was calculated and the relative standard uncertainty $\left({{u}_{\mathrm{{rel}}}={0.11}}\right)$ was synthesized for the detection of phenylethanolamine A residue in beef by liquid chromatography-tandem mass spectrometry. The expanded uncertainty of the determination results was $\mathrm{U}\left( X\right)={0.11}\mathrm{{g}}/\mathrm{{kg}}$ . The detection result of measuring phenylethanolamine A in beef by liquid chromatography tandem mass spectrometry was: $X=\left({{0.51}\pm {0.11}}\right)\mathrm{{\mu g}}/\mathrm{{kg}}, k =2$ . Conclusion The detection equipment had the greatest impact on the measurement uncertainty of phenylethanolamine A residue, followed by sample pre-treatment, experimental repeatability, and transfer and constant volume. In daily testing, attention should be paid to the condition of the instruments and equipment, timely verification and calibration should be carried out, the experimental process, transfer and constant volume operation should be standardized, so that to minimize the impact of the above factors on measurement uncertainty as much as possible.

Objective To evaluate the risk of pesticide residues in cucurbit vegetables in Guizhou Qiandongnan Prefecture. Methods LC-MS and GC-MS was used for determination of residues of the level of 50 pesticide residues in cucurbit vegetable samples collected randomly from Guizhou Qiandongnan Prefecture. Results It showed that Pesticide residues were detected in 15 samples of 100 cucurbit vegetables, 8 pesticides were detected, 20 times in total, The average value of food safety index in cucurbit vegetables related to pesticide residues did not exceed the national maximum residue limit in Guizhou Qiandongnan Prefecture. Conclusion Our findings suggest that the potential hazard level of pesticide residues in cucurbit vegetables in Guizhou Qiandongnan Prefecture is acceotable.

College electrical and electronic laboratories play a crucial role in conducting fundamental and advanced education and teaching activities. In order to improve the overall safety of electrical and electronic laboratories in colleges and universities, eliminate safety hazards and prevent safety accidents. This paper analyzes and summarizes the common unsafe factors in electrical and electronic laboratories in colleges and universities. These unsafe factors include physical unsafe factors and human unsafe factors. Physical related unsafe factors involve experimental equipment and experimental environment, while human related unsafe factors involve laboratory managers, experimental instructors and students. Based on an analysis of these unsafe factors, this paper puts forward specific measures for electrical and electronic laboratory safety management, including strengthening the safety management of experimental equipment and experimental environment, improving the safety management level of laboratory staff, enhancing the awareness of safety responsibility of experimental instructors, and eliminating unsafe behavior of students. These measures provide a certain security guarantee for the construction and development of electrical and electronic laboratories.

Traditional textile testing methods have problems of subjectivity and inefficiency, and the testing method based on artificial intelligence technology provides a new way to solve these problems. This paper first summarizes the traditional textile inspection methods, including visual inspection, manual inspection and traditional machine vision inspection technology. Then, the textile testing and analysis methods based on artificial intelligence technology are introduced, including data acquisition and preprocessing, feature extraction and selection, testing model design and training, and testing result analysis and evaluation. Through the application of artificial intelligence technology, the automation, efficiency and accuracy of the textile testing process can be achieved, which brings new possibilities for the quality control and production optimization of the textile industry. Experimental results show that the detection accuracy of the proposed method is improved by 23.5% compared with the traditional method. Therefore, the textile testing method based on artificial intelligence technology can be widely promoted and applied in practice.

Fluorescence probe technology refers to a technical means of labeling the substance to be measured with fluorescence probe, enabling qualitative and quantitative analysis of the measured substance. Fluoride ion is one of the important trace elements in human body, proper intake of fluoride ion can help prevent tooth decay and osteoporosis, while excessive intake of fluoride ion can cause a variety of diseases. Therefore, it is of great significance to develop fluorescence probes that can detect fluoride ions in organisms. The latest scientific research results were converted into comprehensive designing experiment "the synthesis of fluorescence probe and detection of fluorine ions in aqueous phase". Through the implementation of the experiment, the students' ability of organic synthesis, the operation of optical analytical instruments and the analysis of experimental data will be greatly improved.

Objective The color analysis equipment "plasma colorimeter" developed by customization was used to analyze the color of plasma prepared by whole blood composition, summarize the color parameter range of normal, reddish and chyle plasma, and explore the feasibility of formulating quantitative standards for plasma appearance. Methods The collected 2U whole blood was randomly selected, the same amount of normal, reddish and chyle plasma was separated and prepared, the proportion of parameters of red, green and blue in the appearance of plasma was collected by plasma colorimeter, the laws of each parameter were summarized by statistical methods, and the differences between the three plasma parameters were compared. Results Between normal plasma and reddish plasma, the proportion of parameter red was significant different (P>0.05), while those of parameter green and parameter blue were not significant different (P<0.05); Between normal plasma and chyle plasma, the difference of proportion of parameter green was significant (P>0.05), those of parameter red and blue are not significant (P<0.05). Between normal plasma and reddish plasma, the proportions of red, green and blue in reddish plasma and chyle plasma were all significantly different (P<0.05) Conclusions The quantitative values of color in plasma appearance can be obtained by using plasma colorimeter, and these values can provide a basis for digital and accurate judgment of plasma appearance, further to effectively improving the efficiency of blood station work.

Objective To understand the soil status of rural soil health in Fushun City from 2017 to 2020, and to provide specific data for formulating related policies and assessing soil risks. Methods The specific data of rural soil health in Fushun city from 2017 to 2020 were monitored and analyzed. 20 monitoring sites were randomly selected for soil monitoring, and the content of parasites, heavy metals and other related indexes in soil were determined. Results Lead content reached ${645}\mathrm{{mg}}/\mathrm{{kg}}$ in Dawang village in 2020; Zhongtong village reached ${2035}\mathrm{{mg}}/\mathrm{{kg}}$, cadmium content reached ${1.22}\mathrm{{mg}}/\mathrm{{kg}}$, and other indicators were not exceeded. Conclusion The results showed that the rural soil health status of Fushun city from 2017 to 2020 was generally good, but some areas in some years also exceeded the standard, and continued to strengthen monitoring to prevent problems.

With the rapid development of digital technology, digital in the field of education online learning platform, manufacturing factory automation, financial industry mobile payment and other industries widely and far-reaching application. The digital transformation and upgrading of university laboratory asset management can realize real-time tracking and monitoring of assets, automated management processes, data analysis and optimization of decision-making, improve security and accuracy, and provide convenient query and traceability functions, improve management efficiency, reduce costs, and promote the compliance and efficient circulation and use of data assets. This paper analyzes the current situation of laboratory assets management in universities, discusses the significance and challenges of the digital transformation of laboratory assets management in the new era, and puts forward specific countermeasures for the digital transformation of laboratory assets management in universities.