Objective To discuss the dispersion and correlation of granite in Foshan, analyze the causes of the dispersion and the measures to reduce the dispersion. Methods 10 groups of granite samples from a place in Foshan were selected for laboratory tests of physical and mechanical properties, and the data were analyzed statistically. Results The water content, bulk density, particle density and uniaxial compressive strength of granites in this area have a certain correlation, and there are discretization. Conclusion Analysis of the correlation and discreteness of test results is helpful to improve the reference value of test data and provide theoretical support for engineering applications.

Laboratory is an important structure in the field of health inspection, and the management level of laboratory directly affects the effect of disease control and prevention. In recent years, with the vigorous development of the laboratory field, the emergence of many new laboratory reagents and laboratory technologies has effectively improved the efficiency of clinical laboratory, but it also poses new challenges to the development of existing laboratory management. The lack of reagent management system, the lack of talent team construction and the inability of information technology advantages are one of the practical difficulties of laboratory management at this stage. It is difficult to avoid the influence of human factors on the quality of inspection, and it is impossible to promote the high-quality development of inspection work. In recent years, with the development of emerging technology industry, emerging technology has potential value in the optimization management of laboratory. This paper reviews four emerging technologies, namely automation pipeline, artificial intelligence technology, cloud management platform and virtual simulation, aiming to solve the problem of lack of reagent management system in traditional laboratory inspection management and difficulty in highlighting the advantages of information technology. So as to promote the inspection laboratory management system update iteration, towards the direction of digital, scientific development.

Objective To study the automatic iodine analyzer to detectthe content of iodine in urine, so as to provide a scientific andefficient method for the majority of urinary iodine detection workers. Methods The linear range and correlation coefficient, detection limit,precision and accuracy of the method were tested to understand thefeasibility of the method. Results The linear range of this method is $0 \sim {400}\mathrm{{\mug}}/\mathrm{L}$ , the linear equation was $\lg A =- {0.0014C}+ {0.0013}$ , thecorrelation coefficient(r)was 0.9998, and the Limit of Detection (LD)was ${3.9\mu }\mathrm{g}/\mathrm{L}$ ,the relative standard deviation (RSD) was ${2.7}\%\sim {4.3}\%$ ; the detectionresults of low and high concentrations of urinary iodine referencematerials were in the range of uncertainty; 50 urine samples of pregnantwomen were randomly selected for iodine determination. By comparing theautomatic iodine analyzer with the manual method, the relative deviationof the results is $-{9.9}\%\sim {12.8}\%$ , which meets thequality control requirements of the National Reference Laboratory foriodine deficiency disorders for 3 consecutive years, he participated inthe national external quality control examination of IDD laboratoriesand passed all of them. Conclusion The linear range, correlationcoefficient, detection limit, precision and accuracy of the method aresatisfactory, and the method has a high degree of automation, reducingthe detection time and the workload of the staff, at the same time, ithas advantages in toxicity and waste disposal, so the automatic iodineanalyzer method is suitable for the determination of iodine in urine,especially for the detection of large-scale urine iodine, suitable forpopularization.

Socialized environmental monitoring, as one of the important approaches for environmental monitoring in China, directly affects the effectiveness of our country's environmental protection efforts. However, at present, there are many quality issues in the socialized environmental monitoring data in China, which need continuous improvement and refinement. Therefore, this paper conducts an in-depth analysis of the existing data quality problems in the domestic socialized monitoring industry through literature research methods, clarifies the main factors affecting the quality of socialized environmental monitoring data in China, and proposes targeted countermeasures from the perspectives of optimizing management systems, improving personnel quality, and upgrading technical equipment. The research conclusions are of great significance for improving the socialized environmental monitoring system in China and enhancing the overall level of environmental protection in our country.

As an important component of the new energy vehicle field, fuel cell vehicles are powered by the process of hydrogen gas passing through fuel cells to generate electricity. The quality of hydrogen directly affects the efficiency and lifespan of fuel cells, therefore ensuring the high quality of hydrogen is crucial. This article comprehensively explores the relationship between fuel cell vehicles and hydrogen quality, existing hydrogen quality detection technologies and their limitations, and focuses on several new rapid detection technologies, including hydrogen sensor technology, spectral analysis technology, and mass spectrometry analysis technology, as well as their applications in hydrogen quality detection of fuel cell vehicles.

New requirements have been put forward for biosafety in the new era, and it is also listed as a top priority. Medical universities are the cradle of medical talents. Microbiology, as an important subject in basic medicine which combine the theory and practice. Based on the biosafety problems existing in microbiology teaching laboratories, it is extremely urgent to optimization. Through analyzing the current situation of microbiology teaching laboratory, this article mainly discusses the current situation and optimization of microbiology teaching laboratories. In line with student-centered teaching conception, contains the safety awareness of teachers and students, laboratory safety management, and existing safety risks, so as to improve the scientific and specification of microbiology teaching laboratories.

With the rapid development of technology, traditional building material testing methods face many challenges, such as low efficiency, high cost, and insufficient accuracy. Therefore, introducing intelligent technologies such as artificial intelligence, machine learning, and the Internet of Things has become a key way to improve the efficiency and accuracy of building material detection. Artificial intelligence algorithms can achieve intelligent recognition and evaluation of building materials through a large amount of data learning and training, thereby improving the accuracy and speed of detection. At the same time, the application of Internet of Things technology makes the process of building material testing more intelligent and automated, achieving real-time monitoring and data transmission. In addition, the application of machine learning algorithms has also provided new ideas and methods for building material detection, further improving the accuracy and reliability of detection through deep data analysis and pattern recognition. Therefore, applying intelligent technology to material testing in construction projects is expected to bring revolutionary changes to the construction industry.

Microbial testing is of high importance in grassroots disease control centers. Effective microbial testing can ensure the disease prevention ability of grassroots disease control centers. In order to better implement disease control work, grassroots disease control centers attach great importance to the completion of microbial testing work. However, based on the completion of microbiological testing in some grassroots disease control centers in certain regions, there are still some omissions that have not been rationalized in the implementation process, which has had a certain impact on the application value of microbiological testing. Based on the consideration of the importance of microbiological testing in grassroots disease control centers, this article explores common problems and countermeasures in microbiological testing in grassroots disease control centers, in order to promote the improvement of microbiological testing accuracy. Targeted comprehensive analysis work is carried out from multiple aspects such as grassroots disease control center staff, equipment and instruments, and work environment, in order to achieve precise control and effective handling of related issues.

Smart laboratories play an important role in scientific research and production, however, they also face safety risks and management challenges. Building a smart laboratory safety management platform system can help laboratory managers comprehensively manage laboratory safety risks. In order to effectively manage the safety issues of smart laboratories, this study aims to build a comprehensive smart laboratory safety management platform system. By formulating the use of inspection equipment, the management of hazardous chemicals in the laboratory, the laboratory environment monitoring, and ensuring capital investment, a laboratory safety funding guarantee system is built. Through innovative applications of Internet of Things technology and other measures, the functions of the smart laboratory safety management platform system are realized, so that the safety and management efficiency of the laboratory are improved.

Objective A method was developed for the simultaneous determination of calcium, boron and sodium in Bombyx batryticatus by Inductively coupled plasma mass spectrometry (ICP-MS). Methods Microwave Digestion was used as the pretreatment method. The contents of Ca, B and Na in 25 batches of Bombyx batryticatus were determined by ICP-MS and analyzed by multivariate statistics. Results The three elements had a good linear relationship (r>0.995), the recoveries were in the range of 80%~120%, the reproducibility RSD<5%, the reproducibility RSD<5% and the stability RSD<5% within 1 day. Conclusion the method is simple and accurate, and can be used for the quantitative study of three elements in Bombyx batryticatus. The results can provide reference for the quality control and origin study of Bombyx batryticatus.