Objective To establish a method for benzo[α]pyrenedetermination in prepared Radix Rehmanniae by molecularly imprintedsolid phase extraction coupled with ratio fluorescence detection. Methods The molecularly imprinted polymers (BaP-MMIPs) were prepared bysol-gel method using dendritic-grafting magnetic nanoparticle as thesupporting material and benzo $\left\lbrack \alpha \right\rbrack$ pyreneas the template. Benzo[ $\alpha$ ]pyrene in the prepared sample wasseparated and enriched by BaP-MMIPs as dispersive SPE materials, and wasdetected by ratio fluorescence determination. The calibration curve wasobtained by measuring the fluorescence intensity ratios $\left({{\mathrm{I}}_{436}/{\mathrm{I}}_{604}}\right)$ of benzo $\left\lbrack \alpha\right\rbrack$ pyrene in different concentrations. ResultsBaP-MMIPs showed remarkable selectivity, high efficiency and stable,which were successful applied as solid phase extraction materials forthe trace benzo[a]pyrene determination in prepared Radix Rehmanniae.Good linearity was achieved in range of 0.14~3.0 $\mu \mathrm{g}/\mathrm{{mL}}$ . The LOD was ${80}\mathrm{{ng}}/\mathrm{{mL}}\left({\mathrm{S}/\mathrm{N}=3}\right)$ and LOQ was ${112.5}\mathrm{{ng}}/\mathrm{{mL}}\left({\mathrm{S}/\mathrm{N}={10}}\right)$ . The average recoveries of benzo $\left\lbrack \alpha \right\rbrack$ pyrenewere 89.5%-106.8% with the RSD≤3.6%. Conclusion The method is accurate,selective, high sensitive, reproducible, economical, simple and fast.The research has profound significance for the benzo[a]pyrene monitoringin Traditional Chinese Medicine.

Objective To verify the accuracy of rapid detection results for sulfur dioxide. Methods Distillation iodine titration method was used to detect 598 batches of food samples in the rapid detection project, and the accuracy of the rapid detection results was analyzed. Results The overall accuracy of the sulfur dioxide rapid detection project was 93%, with a positive accuracy of 94% and a negative accuracy of 96%. The accuracy is less affected by the factors of rapid detection personnel, ranging from 92% to 94%; The fluctuation range of food variety factors is 75% to 100%; The fluctuation range of fast inspection product factors is 83% to 100%. The quick test results have a moderate degree of consistency with the laboratory results, with a Kappa value of 0.465. The higher the sulfur dioxide content in the sample, the more obvious the quick test results are, and the higher the accuracy of the quick test results.Continuously strengthening the management of rapid inspection products, selecting suitable food varieties, and sampling representative samples can further improve the accuracy of results. Conclusion The data from this validation proves that the fast detection method has high accuracy and can meet the requirements of on-site risk screening, effectively preventing food safety risks.

With the gradual depletion of natural sand resources, the replacement of natural sand by machine-made sand is an inevitable trend, and the performance of machine-made sand has a certain impact on the workability, mechanics and durability of concrete. In 2023, Zhenjiang Construction Engineering Quality Inspection Association carried out the comparison of machine-made sand laboratories, analyzed the testing ability level of each laboratory and identified the problems existing in the laboratory, and carried out technical analysis on the factors affecting the detection results of machine-made sand methylene blue value, stone powder content and crushing index, and put forward relevant suggestions.

In the context of high-quality development in China, some operating methods of the traditional inspection and testing industry can no longer meet the actual testing needs, and the rise and development of digitalization and intelligence will promote the revolutionary transformation of the inspection and testing industry. This paper introduced the iron ore moisture detection and control system, and discussed its application in moisture detection. Firstly, the pain points and risks of the traditional inspection methods of iron ore were analyzed, and the concept and significance of the iron ore moisture detection and control system were introduced. The module composition and operation methods of the iron ore moisture detection and control system were introduced in detail, including the design of hardware equipment, cloud computing and process management and control applications. Finally, examples were demonstrated and analyzed. The advantages and application prospects of iron ore moisture detection and control system in inspection and testing industry were demonstrated. It provides a theoretical basis for the digitization and intellectualization of iron ore moisture detection.

Informatization construction is a necessary means to realize the quality management of ecological environmental monitoring. This paper took the construction practice of the ecological environment monitoring quality management system in Guangxi as an example, combined with the problems existing in inspection and testing institutions, and used information technology to propose a system construction and design based on quality management as the goal. Quality control was carried out from multiple perspectives such as monitoring process, standard methods, data review, system judgment, and process supervision, realizing the full process management and traceability of ecological environment monitoring, accelerating the construction of standardized, standardized, refined, intelligent, and precise quality management, which helped to promote the high-quality development of ecological environment intelligent monitoring.

Objective To realize the intelligentization and visualization of laboratory management and effectively improve the efficiency and quality of inspection work by taking the digital scheme of building drug inspection laboratory in Taizhou Pharmaceutical Inspection Institute as an example. Methods Through the mode of “internet+technology service", the whole process of "one-stop" service was realized in scientific experiment, technology research and development, safety evaluation, industry cultivation and other aspects at drug testing institution. Results Since the operation of the digital laboratory of Taizhou Institute of Drug Control for 2 years, more than 6,700 drug testing reports had been completed, 21 sets of high-end instruments and equipments with a value of 25 million yuan had been shared freely through the "drug inspection pass" service platform, providing efficient services for more than 200 enterprises and institutions, completing 2960 batches of entrusted testing business, reducing the laboratory operation cost by 20%, solving 280 technical problems for pharmaceutical enterprises, directly reducing the cost of more than 400000 yuan for pharmaceutical enterprises, shortening the service cycle to 10~15 working days after entrusted by the enterprise through the platform, and improving the efficiency by 30%. Conclusion The foundation of digital laboratory enables the testing institution to achieve comprehensive, efficient and accurate management and coordination, improve the efficiency and quality, improve the scientific and normative nature of testing work, provide high-efficiency and high-quality services for the development of pharmaceutical enterprises, and provide solid technical support for the digital, precise and intelligent governance of drug supervision work.

This paper discusses the importance and related requirements of discipline in geological experiment testing, including operation discipline, data discipline, safety discipline, confidentiality discipline and team discipline. It elaborates on how to keep discipline by strengthening discipline awareness, strengthening training and learning, establishing supervision mechanism, setting an example and taking serious accountability measures. It emphasized the key role of strict discipline in ensuring the smooth progress of geological experiment and test work, achieving reliable results and promoting the development of geological undertakings, and called on all personnel engaged in geological experiment and test work to always bear in mind the discipline requirements, work solidly with a high sense of responsibility and mission, and lay a solid foundation for geological scientific research and resource development and utilization.

Objective To investigate the laboratory detectioncapability of the determination of hexachlorocyclohexane pesticideresidues in plant extract concentrates of various laboratories under thegroup. Methods Using plant extract concentrate as the substrate, $\beta$ -hexachlorocyclohexane and $\delta$ -hexachlorocyclohexane was used asthe target substance, and a comparison sample was prepared by adding amatrix. After uniformity and stability verification, robust statisticalalgorithm A was used to calculate the robust mean and robust standarddeviation. The laboratory detection ability of hexachlorocyclohexanepesticide residues in plant extract concentrate was evaluated based onthe $Z$ -ratio score. Results Theuniformity and stability test results of the comparison samples meet therequirements, and the satisfaction rate of the detection of pesticideresidues in plant extract concentrate is 100%. The participatinglaboratories have good detection capabilities. Conclusion Compared withproficiency testing, inter laboratory comparisons have the advantages oflow cost and convenient organization, making them an effectivesupplement to proficiency testing activities.

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.

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.