Objective To determine the content of inorganic arsenic inshellfish and aquatic products by high performance liquidchromatography-inductively coupled plasma mass spectrometry, and toevaluate the food safety according to the content level of inorganicarsenic. Methods Four kinds of shellfish products were randomlypurchased from local markets and extracted by soaking in acid solution.After separation and filtration, the content of inorganic arsenic in theextracted solution was determined. Results The average inorganic arseniccontent of the 4 kinds of shellfish products were 0.067 ~0.140 mg/kg forPaphia undulata, 0.120 ~0.470 mg/kg for clam Philippines, 0.061 ~0.140mg/kg for clam white, and ${0.056}\sim {0.190}\mathrm{{mg}}/\mathrm{{kg}}$ for Sinonovacula constricta, respectively. The highest content ofinorganic arsenic was found in Philippinarum clam. Conclusion Thecontent of inorganic arsenic in shellfish products sold in Foshan Cityin 2023 does not exceed the limit value of ${0.5}\mathrm{{mg}}/\mathrm{{kg}}$ ofChina’s national food safety standard. Common shellfish aquatic productsare generally safe to eat. However, it is still necessary to be cautiousabout eating high-risk shellfish products and pay attention to thoroughcooking and processing. At the same time, it is necessary to strengthenthe awareness of food safety, strengthen the supervision and managementof such aquatic products, and carry out food safety knowledge publicityand health education.

Objective To supervise and evaluate the rapid testing laboratory of edible agricultural products, and to check the implementation of local rapid testing. Methods On the basis of the relevant evaluation rules of Guangdong administration for market regulation, combined with the relevant requirements of the government's rapid inspection laboratory operation and management, a comprehensive evaluation of the rapid inspection laboratory was conducted from the aspects of laboratory site, rapid inspection system establishment, completion situation, sampling situation, original records, follow-up treatment, quick inspection products and equipment management. Results The supervision and evaluation of 12 government rapid inspection laboratories for edible agricultural products was carried out, and the comprehensive scores were all above 89 points. Each government rapid inspection laboratory assessed 6 blind samples, only E government rapid inspection laboratory blind sample assessment accuracy rate did not reach 100%. The results of supervision and evaluation were satisfactory. Conclusion The rapid inspection laboratory of local edible agricultural products has achieved certain results in giving play to the 'firewall' of rapid inspection and screening, but there are still some problems and risk points. It is suggested to start with personnel training, original records, rapid inspection products and equipment management, rapid inspection quality control, supervision and assessment, so as to promote the continuous improvement of the detection ability of the rapid inspection laboratory.

Spinning disk confocal microscope isa widely used optical instrument. This article take the live cell spinning disk confocal system of the large-scale instrument sharing platform of Wenzhou Medical University as an example, to introduce the basic technical principles and open sharing status of this instrument. Based on actual operating conditions, thisarticle explores the content and methods of training to further improve the effectiveness and feasibility of the training mode, providing a reference for relevant technical personnel.

With the continuous increase in the number and scale of university laboratories, traditional management models face many drawbacks such as low efficiency, resource waste, and safety hazards. In order to address these drawbacks, artificial intelligence technology has gradually been introduced into the intelligent management of university laboratories. This article aims to explore the application of artificial intelligence in the management of university laboratories, analyze its role in resource optimization, security management, equipment maintenance, and data analysis, and promote the better application of artificial intelligence in the intelligent management of university laboratories.

Objective To explore the implementation effect of thequality improvement model based on the backtracking system in thehospital inspection department. Methods 102 patients who implemented theconventional quality management model in the inspection department ofthe hospital from September 2021 to September 2022 were selected as thecontrol group, and 102 patients who implemented the quality improvementmodel based on the quality management system in the inspectiondepartment of the hospital from October 2022 to October 2023 wereselected as the observation group. The two groups of inspectiondepartment personnel (24) are all members of the same group.Compare theassessment and scoring of the two groups of inspection departmentpersonnel, the quality of the inspection and the patient satisfaction. Results Compared with the control group, the data obtained showed thatthe theoretical knowledge, operating skills, service quality, equipmentmaintenance and maintenance, equipment use process, and equipmentmanagement ability scores of the inspection department personnel in theobservation group were higher, and the differences were meaningful froma statistical point of view $\left({P<{0.05}}\right)$ ; compared with the control group, thequality inspection effect, safety management, ward management andworking environment scores of the inspection department personnel in theobservation group were higher, and the differences were meaningful froma statistical point of view $\left({P<{0.05}}\right)$ ; Compared with the control group, the dataobtained showed that the patient satisfaction of the observation groupwas higher, and the differences were meaningful from a statistical pointof view $\left({P<{0.05}}\right)$ ; Compared with the control group, thepatient satisfaction of the observation group was higher, and thedifferences were meaningful from a statistical point of view $\left({P <{0.05}}\right)$ ; The dataobtained compared with the control group, the patient satisfaction ofthe observation group was higher, and THE differences were meaningfulfrom a statistical point of view $\left({P<{0.05}}\right)$ . Conclusion The application of the qualityimprovement model based on the backtracking system to the hospitalinspection department can improve the assessment and scoring of itsinspectors and the quality of inspections, and the patient satisfactionis higher and the implementation effect is better.

Objective To investigate the agglomeration of particulate matter at the air-leaf interface and provide guidance for the prevention and control of particulate matter and greening planning. Methods In this study, the effects of temperature and wind speed on plant coagulation effect were studied by using a self-developed system of coagulation effect based on aerosol smoke box, and the coagulation effect of particulate matter in the leaves of 10 common green tree species in Shanghai was measured. Results The coagulation effect of plant leaves is affected by external conditions, which increases and then decreases with the increase of temperature and is positively correlated with wind speed; among different plants, the coagulation effect of coniferous species is greater than that of broad-leaved species, small-leaved species is greater than that of large-leaved species. Conclusion The results of the study can provide scientific basis for the key prevention and control management of haze, the plant configuration mode of green space community and the selection of urban greening tree species.

Objective To explore and analyze the value of seruminflammatory indexes, D-dimer (D-D) and bone biochemical indexes inwound healing of patients with fractures. Methods The clinical data of92 patients with fracturesin the hospitalwere retrospectively analyzedfrom March 2021 to February 2023. The above patients were divided intodelayed group $(n ={47}$ , delayedfracture healing) and normal group $(n={47}$ , normal fracture healing). The levels of high-sensitivityC-reactive protein (hs-CRP), procalcitonin (PCT), D-D and bonebiochemical indexes (bone gla protein (BGP), type I procollagen aminoterminal peptide (PINP), type I collagen cross-linked carboxy terminalpeptide (CTX), bone alkaline phosphatase (BALP) were compared betweengroups. Pearson analysis was used to analyze the correlation between theabove indexes and delayed fracture healing. Receiver operatingcharacteristic curve (ROC) was adopted to evaluate the predictive valueof the above indexeson predicting delayed fracture healing. Results Thelevels of hs-CRP, PCT, D-D and CTX in delayed group were higher thanthose in normal group $\left({P<{0.05}}\right)$ while the levels of BGP, PINP and BALP werelower than those in normal group $\left({P<{0.05}}\right)$ . Serum hs-CRP, PCT, D-D and CTX in patientswith fractures were positively correlated with delayed fracture healing $\left({P <{0.05}}\right)$ , andBGP, PINP and BALP were negatively correlated with delayed fracturehealing $\left({P<{0.05}}\right)$ . Under the ROC curve, the areas under thecurves (AUCs) of hs-CRP, PCT, D-D, CTX, BGP, PINP, and BALP inpredicting delayed fracture healing were 0.693, 0.810, 0.722, 0.763,0.746, 0.868 and 0.839, the sensitivities were 59.57%, ${59.57}\%,{72.34}\%,{59.57}\%,{85.11}\%,{93.62}\%$ and 76.60%, and the specificities were 78.72%,97.87%,65.96%,89.36%,59.57%, 72.34% and 80.85% respectively. Conclusion hs-CRP, PCT, D-D andbone biochemical indexes are closely related to delayed fracture healingin patients with fractures, which should be paid attention to inclinical practice.

Objective Goal by verifying the performance indicators of16 items such as alanine aminotransferase (ALT), the performance of thedetection system of BS-2800M, a fully automatic biochemical analyzerproduced by Mindray manufacturer, which was newly put into use in thislaboratory was evaluated, so as to improve the work quality of thelaboratory and ensure the accuracy and reliability of the test results. Methods According to the accuracy, precision, linear range and referenceinterval of the test items, the performance of 16 test items such asalanine aminotransferase (ALT) was evaluated. No unacceptableperformance was found in the evaluation process, indicating that theanalytical performance of the test method was accepted and met therequirements of clinical specimen detection. The entire validationprocess is based on the Requirements of the Guidelines for theAccreditation of Quality and Competence of Medical Laboratories in theField of Clinical Chemistry Examination, referring to the requirementsof CLSI EP15-A3, EP6, C28-A2 and EP15-A23 documents. Results Therelative bias of 16 items was $<1/2$ total allowable error (TEa). The coefficient of variation(CV) in precision batch was $<1/4$ tea, the total CV was $<1/3$ tea, the b values of 16 items were in the range of ${1.00}\pm {0.03}$ , and ${r}^{2}$ was $\geq {0.95}$ . The maximum dilution andclinical reportable range were verified and met the requirements. Conclusion The accuracy, precision, linearity and clinical reportablerange of the 16 tested items meet the requirements of quality objectivesand can be used for clinical detection.

With the rapid development of information technology and the deepening implementation of digital transformation, digital management has been applied to various fields and industries. To meet the quality requirements regardless of improvement, third-party inspection and testing institutions are constantly trying innovative digital management methods to improve the efficiency and accuracy of their equipment management and monitoring. This paper deeply discussed the current situation and existing problems of equipment management in third-party inspection and testing institutions, and proposed feasibility analysis and application scenarios for the intelligent management and application of equipment numbers in third-party inspection and testing institutions. This paper improved the efficiency of equipment management by automating intelligent equipment and implementing data monitoring, and integrated and analyzed equipment data by using data intelligent management to provide data support for accurate decision-making.

With the development of higher education and the improvement of scientific research level, university laboratories have become an important place for cultivating talents and conducting scientific research. The cross-integration of discipline development puts forward higher requirements for the construction of laboratory safety education system. Therefore, it is very important to establish a perfect laboratory safety education system in colleges and universities. This paper focuses on the construction and practice of laboratory safety education system in colleges and universities, and constructs a standardized safety education system from eight elements: educational objectives, educational models, educational objects, teaching staff, educational content, educational methods, assessment and conditions guarantee. Through the system construction and practice, it aims to improve the safety awareness and coping ability of laboratory personnel, reduce the incidence of safety accidents and provide a strong guarantee for the safe operation of university laboratories.