This article aims to study common technical issues in the monitoring of building energy-saving materials and propose quality monitoring and management measures. In the process of building energy-saving buildings, energy-saving materials play an indispensable core role, and their performance and quality directly determine the level of building energy-saving efficiency. The quality inspection of energy-saving building materials is a key link in evaluating the qualification of building energy-saving projects and needs to be taken seriously. On the basis of analyzing the importance of building energy-saving material testing, this article explores the common problems in current energy-saving material quality testing, and proposes targeted improvement plans and response strategies based on practical experience and relevant national regulations.

In EMC (Electromagnetic Compatibility) testing, radiation testing occupies an important position and has significant influence. Based on the requirements of relevant job positions in enterprises for EMC test engineers, we conducted two rounds of lectures to sort out, research, and think and analyze, and developed a small and economical radiation disturbance test training platform. On the one hand, it avoids the high cost of dark room construction and the shortage of space, and on the other hand, it fills the gap in radiation interference testing teaching and helps students prepare for entering enterprises, helping them better adapt to the needs of enterprise job positions. This paper aims to develop a small and economical radiation interference test training platform, mainly explaining the development process from two aspects of key equipment and system design and construction to meet the needs of teaching and research, and also has guiding value for actual engineering applications.

With the increasing prosperity of the toy market, children are exposed to a wide variety of toys, but the hidden harmful chemical substances can not be ignored. The purpose of this paper is to focus on the analysis of common toxic and harmful substances in the toy manufacturing process, through technological innovation and application, the improvement of standards and regulations and other measures to ensure that the toy market products are safe and harmless, protect children from harmful substances, provide scientific basis and practical guidance for government regulators, manufacturers and consumers, and promote the healthy development of the toy industry. Protect children's right to healthy growth.

Objective To establish a method for the determination of total boron in soil by alkali fusion-inductively coupled plasma emission spectrometry to meet the quality control requirements of the third national soil census. Methods In this experiment, the alkali fusion method was used for sample pretreatment. By optimizing experimental conditions and screening the optimal curve preparation method, three standard substances with different contents were determined by inductively coupled plasma atomic emission spectrometry. Results The linear equation and correlation coefficient of the calibration curve prepared with experimental water are$y ={1171.470x}+ {12.981}\left({{r}^{2}= {1.000}}\right)$. The accuracy test was carried out with national standard substances, and the relative error is 13%~33%. The linear equation and correlation coefficient of the curve prepared with matrix matching solution are$y ={818.529x}+ {10.124}\left({{r}^{2}= {0.999}}\right)$. The accuracy test was carried out with national standard substances, and the relative error is${1.9}\%\sim {7.7}\%$. Conclusion This shows that preparing the calibration curve with matrix matching solution can eliminate the matrix interference caused by alkali fusion and obtain satisfactory results.

The normal module operating temperature (NMOT) of photovoltaic modules plays an important role in analyzing the actual power generation performance of the modules, but it is difficult to accurately measure. In the experimental teaching of heat transfer course, the introduction of photovoltaic module temperature rise cases has expanded the scope of teaching cases, cultivated students' ability to solve engineering problems of photovoltaic module temperature rise modeling using heat transfer mechanisms, and broadened their knowledge of factors affecting photovoltaic power generation. Finally, the theoretical calculation method for the temperature rise characteristic model of photovoltaic modules was analyzed, and experiments were designed to verify the accuracy of the model. The validated model was used to calculate the NMOT of photovoltaic modules

Testing laboratory resources are an important support for teaching and scientific research in universities. How to evaluate the utilization efficiency of testing laboratories through big data analysis and make targeted optimization suggestions is of great significance to improving the testing capabilities and resource utilization efficiency of universities. Based on the big data analysis method, this article starts from the aspects of testing laboratory usage data collection, storage, analysis, visualization, etc., builds a testing laboratory usage efficiency evaluation model, and proposes an optimization strategy. The study found that the evaluation of testing laboratory usage efficiency needs to comprehensively consider multi-dimensional indicators such as frequency of use, duration, equipment utilization, sample processing capacity, testing accuracy, testing cycle, etc. Data collection and processing are key links. In response to the problems discovered in the assessment, optimization measures such as strengthening planning management, improving the reservation system, optimizing layout, and establishing incentive mechanisms were proposed. This study has certain reference value for promoting the informatization of testing laboratory management and improving testing capabilities and efficiency.

This study aims to develop a rapid detection method based on multiplex real-time quantitative PCR technology for accurate identification and quantification of common pathogenic bacteria on face masks, to assess the hygienic condition of masks and control nosocomial infections. Methods Using TaqMan probe-based real-time fluorescence quantitative PCR as the core technology, specific primers and fluorescently labeled probes were designed and optimized for simultaneous quantification of specific gene sequences from three pathogens through one-tube multiplex detection. The experiment began by screening specific target genes and sequences from the NCBI database and designing primers and probes. Subsequently, quality testing of primers and probes was conducted, and standard samples were prepared through amplification of specific sequences and TA cloning. Finally, standard curves were established, and mask samples were tested. Results After optimizing experimental conditions, an efficient and stable multiplex real-time quantitative PCR detection system was successfully established. The detection efficiency of standard samples for three pathogens was evaluated at different concentration gradients. The detection data showed that the primers and probes had high specificity for target pathogens, and the amplification efficiency and signal intensity met experimental requirements. In the detection of mask samples, the method accurately quantified the genomic DNA copy numbers of Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus hemolyticus, thereby assessing the degree of microbial contamination on masks. Conclusion The rapid detection method for pathogenic bacteria on masks based on multiplex real-time quantitative PCR technology demonstrates high sensitivity, specificity, and speed, providing strong technical support for clinical and public health

The safety of university laboratories is a fundamental guarantee for promoting the continuous development of education and scientific research, and for teachers and students to carry out work and study smoothly. In China's vigorous promotion of the construction of "Double First Class” universities, the existing management methods and personnel configuration are unable to meet the current national requirements for laboratory safety management in universities. Building a scientific, comprehensive, practical, and easy-to-use laboratory safety management platform is an important issue that universities urgently need to study and solve. This article analyzes the necessity of building a laboratory safety management platform in universities under the current information technology background. Based on the actual work of Xinjiang University, a laboratory safety management system construction plan is proposed, and the system operation effect is analyzed to achieve systematic and intelligent management of the laboratory. It has played a positive role in supporting the cultivation of innovative talents and standardizing laboratory management, and has achieved certain results.

Objective To study the application of SERS technique in the quantitative detection of antibiotic residues in poultry meat and evaluate its potential in food safety monitoring. Methods The SERS principle and enhancement factor calculation were introduced, and the influence of the shape and size of nanoparticles on SERS effect was analyzed experimentally and simulated. Different concentrations of antibiotic residues were detected through SERS, and the detection sensitivity and linear response were evaluated. Results SERS was reliable at${0.8}\mathrm{{nmol}}/\mathrm{L}$antibiotic concentration, the linear response range was${0.1}\sim {1000}\mathrm{{nmol}}/\mathrm{L}$, the${r}^{2}$was 0.999, and the enhancement factor was stable at${10}^{6}$. Conclusion SERS technology has high sensitivity and good linear response, which is suitable for the detection of antibiotic residues in food safety monitoring.

Objective To explore the application effect of C-reactive protein combined with blood routine and blood culture in the diagnosis of bacteremia. Methods In this study, 69 patients with suspected bacteremia examined from May 2023 to May 2024 were selected as the observation group. In order to more intuitively understand the application value of the three combined detection methods, 69 healthy patients in the same period were selected as the experimental group. Analysis of blood routine indexes, strain distribution in blood culture and C-reactive protein detection data in both participating groups. Results In the blood cultures. Results A total of 8 strains were detected in the blood culture of 69 suspected bacteremia patients in the observation group. Among the two strains with high detection rate, except gram-negative bacteria and gram-positive bacteria, the two strains with the highest detection rate were staphylococcus 25 strains. Escherichia coli 16 granules, and 16 E. coli with detection rate of${23.19}\%$. WBC$\left({{15.45}\pm {2.18}}\right)\times {10}^{9}/\mathrm{L}$, NEU$\left({{81.24}\pm {2.84}}\right)\%$, LYM$\left({{53.24}\pm {2.68}}\right)\%$, C-reactive protein levels (53.24±2.68) mg/L, WBC (6.45±1.28)×10${}^{9}$/L, NEU (62.41±2.34)%, LYM (26.45±2.18)%, and C-reactive protein levels$\left({{6.28}\pm {1.25}}\right)\mathrm{{mg}}/\mathrm{L}$. WBC, NEU, LYM and C-reactive protein levels in patients with suspected bacteremia in the observation group were significantly higher than those of healthy patients in the experimental group$\left({P <{0.05}}\right)$. Of the 69 suspected bacteremia, 66 were positive and 3 were negative. Among them, 63 cases were positive in blood culture, 58 cases were positive in blood routine test, 56 cases were positive in C-reactive protein test, and 66 cases were positive in C-reactive protein combined with blood routine and blood culture test. Among the four detection methods, C-reactive protein combined with blood routine and blood culture test were no different with the confirmed results. Conclusion In clinical diagnosis and detection of suspected bacteremia patients, C-reactive protein combined with blood routine and blood culture can maximize the accuracy of detection data, and the combined diagnosis of the three is of higher clinical value.