Objective At present, the systematic study of heavy metals releasing law from ceramic disc sealed water faucet is lack in domestic. At the same time, nozzle production enterprises also lack relevant knowledge, so it is necessary to study this to provide a scientific basis for the green and sustainable development of the nozzle industry. Methods Through the laboratory simulation method, the inductively coupled plasma mass spectrometer was used to analyze and test the precipitation of heavy metal pollutants in the nozzle, and systematically studied the precipitation law of heavy metal pollutants in the ceramic sheet sealed nozzle. Results Through testing and analysis, the material of the surface nozzle material also determines the precipitation type of heavy metal pollutants. The immersion time and the concentration of inorganic salt in water quality are directly proportional to the precipitation of heavy metals. The lead brass nozzle effectively reduces the precipitation of lead and chromium heavy metals through the lead removal process; the precipitation of lead is reduced by 81% to 86%, and the precipitation of chromium is reduced by 52% to 56%. Conclusion Enterprises can choose suitable materials and processes to produce nozzles according to their own conditions. Consumers should avoid exposure to excessive heavy metals according to their use.

The current national standard employs the phenol-sulfuric acid method for quantifying the curdlan content. However, due to inadequate dispersion of some curdlan particles in the solvent caused by agglomeration during dissolution in a 0.1mol/L sodium hydroxide solution, the results of content detection were found to be unstable. The samples were treated by magnetic stirring, homogenizer dispersion and ethanol dispersion. It was found that: The ethanol effectively disperses the curdlan sample in the sodium hydroxide solution, preventing it from agglomerating. The ethanol method effectively and efficiently addresses the pain point in determining the content of curdlan, offering valuable insights for enhancing the detection methodology.

Objective Comparison of two methods for determining ammonium ion content in ambient air${\mathrm{{PM}}}_{2.5}$. Methods $1/4$ of the quartz filter membrane used to collect ambient air particles${\mathrm{{PM}}}_{2.5}$ was cut into pieces, and ultrasound extracted by ultra-pure water, then centrifuged and filtered, and last the content of ammonium ion in${\mathrm{{PM}}}_{2.5}$ was respectively determined by flow injection method and ion chromatography. Result The fitting curve of${\mathrm{{NH}}}_{4}^{+ }$ measured by ion chromatography in the range of${0.5}\sim {10.0}\mathrm{{mg}}/\mathrm{L}$ is$\mathrm{y}= {0.0710}+ {0.2214}\mathrm{x}- {0.0058}{\mathrm{x}}^{2},\mathrm{r}= {0.9997}$ . The detection limit of${\mathrm{{NH}}}_{4}^{+ }$ in${\mathrm{{PM}}}_{2.5}$ is calculated to be${0.017}\mathrm{{\mu g}}/{\mathrm{m}}^{3}$ , with a quantification limit of${0.068\mu }\mathrm{g}/{\mathrm{m}}^{3}$ , the recovery rate is between${91.0}\%\sim {96.6}\%$ , and the RSD is${0.05}\%\sim {0.08}\%\left({\mathrm{n}= 6}\right)$ . The linear relationship of ammonium ion concentration measured by flow injection analysis in the range of${0.02}\sim {1.00}\mathrm{{mg}}/\mathrm{L}$ is good, with$\mathrm{y}= {22.576}\mathrm{x}+ {0.1333},\mathrm{r}= {0.9999}$ . The detection limit is${0.003}\mathrm{{\mu g}}/{\mathrm{m}}^{3}$ , and the quantification limit is${0.012\mu }\mathrm{g}/{\mathrm{m}}^{3}$ with the recovery rate of${105}\%\sim {114}\%$ and the RSD between${0.54}\%\sim {2.06}\%\left({\mathrm{n}= 6}\right)$ . Using the two methods to measure 16 filter membrane samples, there was no statistically significant difference in the measurement results$\left({\mathrm{t}= {1.080},\mathrm{P}> {0.05}}\right)$. Conclusion Both of the two methods have a good linear relationship, with good precision and accuracy. Compared with ion chromatography, flow injection analysis has the advantages of lower detection limit and shorter detection time.

Objective To study the determination of total phosphorus in carbon compound lithium iron phosphate by direct carbon removal gravimetric method. Methods After the sample was decomposed by perchloric acid and the carbon in the sample was removed at the same time, the yellow quinoline phosphomolybdate was precipitated by the reaction of orthophosphoric acid with the precipitant quinomolymonone in the acidic medium. The phosphorus content could be obtained by filtration, washing, drying and weighing. Results The carbon removal by perchloric acid was complete and clear, and the steps of filter and carbon removal were reduced. The precision and accuracy tests of the method were carried out by optimizing the conditions. The relative standard deviation (RSD) of the method was less than 0.2%, and the recovery rate of standard addition was 98.4% ~ 101.1%. The biggest advantage of this method is that carbon is directly removed in the digestion process, eliminating the influence of carbon encapsulation on phosphorus determination, no need to filter carbon removal, shorten the operation process, short analysis time, high content of phosphorus is determined by classical gravimetric method, which has high precision and accuracy, and can provide rapid and accurate results for production. Conclusion This method is suitable for the rapid and accurate determination of total phosphorus in carbon complex lithium iron phosphate.

Objective By means of High Performance Liquid Chromatography (HPLC), the extraction method and content determination method of $\alpha$ -cyperone were explored to achieve the purpose of accuracy, reliability, convenience and easy operation. Methods High performance liquid chromatography was used. The chromatography was performed on Agilent Eclipse Plus $\left({{150}\times {4.6}\mathrm{\;{mm}},5\mathrm{\;{\mu m}}}\right)$ silica gel column with mobile phase consisted of methanol-water (70:30) and UV-VIS spectrometer. The flow rate was ${1.0}\mathrm{{mL}}/\mathrm{{min}}$ . The detection wavelength was ${240}\mathrm{\;{nm}}$ . The column temperature was ${35}^{\circ }\mathrm{C}$ . Results The results showed a good linear relationship in the linear range of ${0.02314}- {0.46287}\mathrm{{mg}}/\mathrm{{mL}}$ with ${\mathrm{R}}^{2}= 1$ , the average recovery rate of ${99.84}\%$ and relative standard deviation (RSD)=0.09%. Conclusion The method has the advantages of simple operation, high sensitivity, good repeatability, accuracy and reliability, and can be used to determine the content of $\alpha$ -cyperone in order to control the quality of cyperone effectively.

Driven by the development of nanotechnology, silver nanomaterials are widely used in the field of sensing due to their catalytic performance, conductivity, and optical properties. The silver nano triangular sensing array has become a research hotspot in the field of biochemical substance detection, supported by its performance in multi-component simultaneous detection and high sensitivity. Based on this, this article summarizes the synthesis methods, characteristics, and research progress of sensing arrays of silver nano triangles, and focuses on the practical applications of colorimetric sensing arrays, surface enhanced Raman scattering, and other technologies in biochemical substance detection, providing useful references for research and practice in related fields.

Objective To establish a rapid method for the determination of neutral degreaser concentration by quantitative acid addition and nonlinear fitting, and to solve the problem of titration method and weighing method lack of accuracy and detection efficiency. Methods Prepare the working curve solutions of different concentrations by using the degreaser original solution, and measure the $\mathrm{{pH}}$ value after adding a quantitative amount of acid.The relationship function between the $\mathrm{{pH}}$ value and the concentration of degreaser is obtained by non-linear fitting, and then the concentration in the production sites degreasing solution is calculated by the function.Explore the amount of acid added, curve fitting method, and fitting order, and determine the optimal experimental conditions. Results The method was applied to the rapid determination of neutral degreaser concentration, with a relative standard deviation (RSD) of 0.85% to 1.17% and a recovery rate between 98.52% to 103.34%. Conclusion The new method proposed in this study is accurate, reliable, simple and rapid.And overcomes the shortcomings of traditional titration and gravimetric methods, it can effectively guide the application of neutral degreaser and improve the surface quality of metal materials.

Objective To establish a method for the determination of six phthalates [diisobutyl phthalate (DIBP), di-n-butyl phthalate (DBP), di(2-butoxy)ethyl phthalate (DBEP), dicyclohexyl phthalate (DCHP), di(2-ethyl)hexyl phthalate (DEHP) and diisononyl phthalate (DINP)] in semi-solid food by gas chromatography-mass spectrometry (GC-MS/MS). Methods The optimization of chromatography and mass spectrometry conditions, the comparison of pretreatment extraction methods, and the selection of purification columns were carried out. The samples were extracted with an organic solvent, and the supernatant was purified by a solid phase extraction column made of ethylenediamine-N-propylsilane/silica gel (PSA/Silica) composite packing glass, and separated by a capillary column TG-5MS (${{30}\mathrm{\;m}}\times {0.25}\mathrm{\;{mm}}\times {0.25}\mathrm{\;{\mu m}}$). The optimal conditions were selected by mass spectrometry full scan (SCAN) mode, and then by feature selective ion monitoring scan mode (SIM) detection, the retention time and qualitative ion fragment abundance ratio were qualitatively analyzed, and the external standard method was used for quantitative analysis. Results The separation was completed within 26.5 min. Linear range: DINP had a good linear relationship in the concentration range of${0.2}\sim {5.0}\mathrm{{\mu g}}/\mathrm{{mL}}$, with$\mathrm{r}> {0.9995}$, and the other five species had a good linear relationship in the range of ${0.02}\sim {0.50\mu}\mathrm{g}/\mathrm{{mL}}$, with$>\mathrm{r}{0.9995}$。The limit of quantification was${9.0}\mathrm{{mg}}/\mathrm{{kg}}$, DINP was ${0.3}\mathrm{{mg}}/\mathrm{{kg}}$, and the others were ${0.5}\mathrm{{mg}}/\mathrm{{kg}}$, and the three-level standard solution was added to the two dipping materials and bottom materials, respectively: DINP was 20,40 and ${60}\mathrm{{mg}}/\mathrm{{kg}}$, and the others were 4,6 and 8 $\mathrm{{mg}}/\mathrm{{kg}}$, and the recovery rates were 89.1%~101%. The RSD % was less than 3.8%. Conclusion This method has simple pretreatment, good selectivity, sensitivity and accuracy, and can be widely used for the determination of plasticizers in semisolid composite seasonings.

This study aims to explore the specific application of non-destructive testing technology in quality control of pouring molds, in order to improve the accuracy and reliability of mold manufacturing. Mainly using ultrasonic testing technology to detect mold materials, in order to accurately identify defect locations and evaluate material stress distribution. At the same time, infrared thermal imaging technology is used to monitor the temperature distribution and processing parameters of the mold surface, in order to evaluate the surface quality. The research results indicate that non-destructive testing technology has significant advantages in quality control of pouring molds and can effectively improve the level of quality control. I hope that through the research in this article, we can effectively improve the technological level of the mold manufacturing industry and promote its development.

To explore the limitations of the low air pressure test methods for electronic and electrical products, and to propose ways to optimize and improve the test methods. To analyze the influence of low air pressure environment on the performance, reliability and life of electronic products, and to summarize the important role of low air pressure test in the reliability assessment of electronic products. From the four aspects of test equipment, test conditions, test point arrangement and data processing methods, suggestions are made to improve the low air pressure test methods. For the test equipment, it is proposed to adopt new vacuum pumps, high vacuum chamber materials, optimize the sealing structure, and introduce precise temperature control algorithms; for the test conditions, it is proposed to reasonably select the air pressure value and rate of change according to the product environment, match the temperature conditions, and take into account the test efficiency and failure incentives; for the test point layout, it is proposed to focus on the key devices and weak structures, and adopt suitable wiring materials and direction design; for the data processing method, it is proposed to improve the low air pressure test method. For the data processing method, it is suggested to introduce new methods such as machine learning and signal processing to explore the failure law and performance trend, and focus on the visualization of the analysis results. Strengthening the research on low air pressure test methods is of great significance to enhance the reliability of electronic products and promote their application in rail transportation, aerospace and other fields, which requires the joint efforts of industry, academia and research institutes.

Objective To improve temperature check technology for resistance to thermal shock of ceramic cookware products and to enhance the work efficiency. Methods By using different temperature testing tools of infrared thermometer and compact spot finder infrared camera to test resistance to thermal shock of samples, and the experimental steps and results were compared and analyzed. Results For infrared thermometer, manual handheld operation is required to detect the bottom temperature of a sample, which has low safety and poor detection repeatability; For the compact spot finder infrared camera, it can be connected to a computer for automation to detect temperature of sample, which can achieve the temperature visualization, easy to operate, more safety and reliable. Conclusion The experimental data shows that the compact spot finder infrared camera provides safe and reliable technical support for the detection of resistance to thermal shock of ceramic cookware. This experiment provides technical guidance for improving the quality of ceramic cookware products.

With the rapid development of information technology, laboratory information management has become a key means to improve research efficiency and quality. This article delves into the application and significant benefits of laboratory information management in data processing, resource utilization, team collaboration, and research innovation. By implementing electronic data management, online resource scheduling, cross regional collaboration platforms, and advanced data analysis, information management not only improves research efficiency, but also promotes the improvement of research quality and innovation capabilities. The further development of information technology will make laboratory management more efficient, secure, and collaborative, providing strong support for scientific research.

With the acceleration of globalization and the advancement of technology, testing laboratories are playing an increasingly important role in ensuring product quality and compliance with international standards. Compliance management is key to ensuring the safe, effective, and lawful operation of laboratories and is crucial for enhancing work efficiency and ensuring the quality of services. This paper provides a comprehensive assessment of compliance management and analyzes its key elements, aiming to assist testing laboratories in enhancing their compliance and strengthening their market competitiveness.

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.

As an indispensable scientific research equipment in the construction of university laboratories, large instruments are the basis and guarantee for teaching and scientific research. The utilization rate of large instruments is also related to the formation and play of national scientific and technological innovation ability, which is of great significance to the construction of an innovative country. This paper explores and discusses the main problems existing in the management and sharing efficiency of large instruments in universities, and puts forward corresponding countermeasures to provide ideas for solving the management problems of large instruments in laboratories.

College pharmacy teaching laboratory is an important place to train pharmaceutical technology practical talents, involving many disciplines, equipment and chemicals, which will bring a large number of unsafe factors, and a little carelessness will cause personal, property and environmental safety accidents. Therefore, safety management should be strengthened. Based on the practice of laboratory safety management, this paper analyzes the current situation and problems of safety management, and believes that it can be improved from the aspects of safety system, safety education, hardware construction and targeted management of each laboratory, so as to effectively improve the safe operation of the laboratory.

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.

The types and characteristics of hazards in university environmental laboratories are diverse, and the risk classification and prevention network barrier construction of hazards have a significant promoting effect on the management of hazards in university laboratories. The article adopts the method of system engineering to classify and statistically analyze the hazards in environmental laboratories; Based on the theory of accident risk chain, multi-level comprehensive evaluation method, and Murphy's law, a risk classification index system and prevention network barrier for environmental laboratory hazards have been constructed. The results indicate that: (1) The hazards in the laboratory are divided into two levels: risk factors and risk units. The risks of risk factors and risk units are divided into five levels: extreme danger, severe danger, significant danger, potential danger, and slightly dangerous. (2) Experimental materials, process equipment, environment, personnel, and safety management constitute the risk chain of experimental accidents. The occurrence of accidents is a chain event, and is greatly reduced by building layers of defense barriers. Building a prevention network barrier based on experimental projects, with division of labor and responsibility among all experimental personnel, interlocking of material, environmental, human and management, grading and precise supervision of hazardous units throughout the entire cycle, in all aspects, is a strong guarantee for laboratory safety.

This study will start with the current problems in the safety and management of multi campus university laboratories, and explore new methods and approaches for intelligent management and security system design of laboratories based on the perspective of the Internet of Things. We will use Internet information technology to build a resource sharing, fully open and efficient experimental teaching platform, build a laboratory management system based on the big data era, monitor the whole process before, during and after the experiment through the collection and analysis of data generated by the use and operation of various instruments and equipment, find problems in the experiment in time, carry out targeted guidance, effectively warn laboratory hazards, improve laboratory safety management efficiency, push laboratory management to a higher level, and achieve the win-win effect of talent training, scientific innovation, and safety management.

With the rapid development of medical science, laboratories in medical departments of higher education institutions have become the core areas for innovation and teaching. The precise research equipment in the laboratory is the cornerstone for conducting cutting-edge research and medical experimental teaching. However, the complexity, high value, and rapid iterative updates of laboratory equipment require a more refined management model to ensure optimal instrument performance and extend its lifespan. In the face of increasingly fierce international competition, efficient management of laboratory instruments is particularly important: it directly affects the progress and quality of laboratory research, as well as the academic status and educational quality of the entire department.

Large-scale scientific instruments sharing-platform is an important public platform of scientific research, talent training, and social service of the universities. It is also important component of "double first-class" construction in the university. It has analyzed and summarized the equipment purchase and technical teams' construction of the large-scale scientific instruments sharing-platform of School of Physics science and Technology, Lanzhou University in this paper. And the safety management of scientific laboratory, the standardized operation and sharing of instruments have been introduced. Furthermore the construction scheme of outstanding large-scale scientific instruments sharing-platform was discussed, which has been to offer direction of improving the management level and enhancing the efficiency of large-scale instruments platform in the university.

In the era of rapid development of information technology, more and more research and development enterprises are seeking innovative research and development models, learning advanced research and development concepts, and achieving the transformation of traditional research and development to digital research and development. This article took Xin'an Chemical Group as an example to share practical experience and introduce the research and development model based on integrated product development (IPD) as the concept, combined with the construction of product lifecycle management (PLM) scientific research information management system, to explore and achieve the process of enterprise digital transformation, improved enterprise research and development level, and enhanced core competitiveness, so as to provide reference for the development of related enterprises.

In order to better achieve the population health goals in the 14th Five-Year Plan, the information system of the centers for Disease Control and prevention at all levels from the national to the local level is constantly upgraded and improved, and the continuous improvement of information technology and the sharing of various types of data will promote the integration and application of emerging technologies, thus accelerating the development of information technology in the centers for disease control and prevention to intelligence. This paper explored the development path from digitization to intelligence in the information construction of disease prevention and control institutions (abbreviated as a disease control institution), analyzed the existing digitization and intelligent application of disease control institution, and provided solutions for the high-quality intelligent transformation of disease control institution; put forward that the information construction and development of disease control institution should be guided by the combination of digital innovation technology and expert experience, seized the current technological development opportunities, gave full play to their own professional and technical advantages, focused on improving their own technological transformation strength, uphold the characteristics of disease control, made up for functional defects, and achieve high-quality development of public health.

In the process of production and inspection of biological products, a large amount of relevant data will be generated, but there are problems such as low digital management and inconvenient work in the data processing process. This paper constructed a trend analysis system based on the characteristics of trend analysis in the quality control of biological products. Based on the research and development of laboratory information management system (LIMS) and FineReport (FR), the system integrated the relevant technologies of instrument data acquisition and inspection data cleaning, used the shewhart control chart to complete the collection, cleaning and summary of the detection data, and provided statistics, analysis and visual monitoring, alarm and other functions to improve the quality and efficiency of the trend analysis of biological products. The stability and variability in production and testing were tracked to provide reference for the scientific management of biological products.

The permanganate index is a titration analysis based on redox reactions used to characterize the degree of organic and inorganic reducing substances in water. The explores the reaction mechanism of the acidic potassium permanganate method and elucidates the possible sources of error in the detection of permanganate index, in order to improve the accuracy of water quality testing. In summary, the accuracy of the permanganate index can be affected by various factors, including titration errors, oxidation reaction errors, and other sources of error. The effective solutions and precautions for experimental operations based on an analysis of these sources of error.

Food safety has always been one of the focus of social concern, and elemental analysis of food testing laboratory as an important means to ensure product safety, its quality control is crucial. This paper first introduces the key role of food laboratory element analysis in ensuring product safety and the main ways of food testing laboratory element analysis. Then, the paper focuses on the problems in quality control and puts forward a series of effective quality control strategies. It is hoped to provide useful guidance for the quality control of elemental analysis in food testing laboratories to ensure food safety and public health.

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.

Objective To analyze the impact of microbial detection technology on food inspection results. Method 100 samples of food to be tested from a testing institution between January 2023 and December 2023 were selected as the research subjects, all of which underwent fluorescence PCR and traditional national standard methods. The microbiological testing techniques were observed and recorded in the food inspection results. Result Among the 100 food samples to be tested, 52 were fruits, 34 were vegetables, and 14 were meat. Among the 10 food samples sampled, 4 were Escherichia coli, followed by 3 Staphylococcus aureus and 2 were Salmonella. According to the traditional national standard method, 4 were Escherichia coli, and 3 were Salmonella and Staphylococcus aureus; Among the 100 food samples from 3 categories, the highest contamination rates were found in raw animal meat, raw poultry meat, and aquatic products. A total of 17 samples were contaminated, and the most pathogenic bacteria detected were Escherichia coli, Staphylococcus aureus, and Salmonella. Conclusion Microbial detection technology can detect pathogenic microorganisms in food, distinguish specific types, and has good application value.

The gas chromatograph uses gas as the mobile phase, and the sample to be measured is brought into the column by the carrier gas after gasification in the gasification chamber, and the components are separated in the column and detected by the detector. The baseline is the comprehensive performance of the performance of the gas chromatograph in operation, and the failure of each part of the instrument, the change of operating conditions and external conditions and other factors will be reflected on the baseline, so the cause and location of the fault can be judged according to the baseline.

Objective To investigate the content of pesticide residues and exogenous heavy metal pollutants in 10 commonly used Chinese crude drugs (Morindae officinalis radix; Citri grandis exocarpium; Polygoni multiflori radix; Amomi Fructus; Pogostemonis Herba; Baphicacanthis Cusiae Rhizoma et Radix; Radix Kadsurae Coccineae; Bruceae Fructus; Arecae Semen; Alpiniae Oxyphyllae Fructus) from 200 batches from different regions in Lingnan, in order to provide a basis for quality control of southern medicine. Methods The content of the exogenous pollutants such as heavy metals, harmful elements, pesticides in 10 commonly used Chinese crude drugs was measured according to Pharmacopoeia of The People's Republic of China (2020 edition)(hereinafter referred to as Chinese Pharmacopoeia), in order to determine and analyze the measurement results. Result The pesticide residues and limits of lead, arsenic, cadmium, mercury, and copper in Polygoni multiflori radix, Baphicacanthis Cusiae Rhizoma et Radix, Radix Kadsurae Coccineae, Arecae Semen and Alpiniae Oxyphyllae Fructus all meet the requirement of the Chinese Pharmacopoeia. Morindae officinalis radix, Citri grandis exocarpium, and Amomi Fructus all have heavy metal non-compliance, while Pogostemonis Herba has pesticide residue non-compliance. Conclusion For the studied varieties, pesticide residue control is good, and it is necessary to focus on monitoring lead and mercury elements.

With the increasingly serious environmental pollution, food may be affected by various new pollutants, such as microplastics and heavy metals. Therefore, it is necessary to continuously study the detection methods of new pollutants to ensure the overall safety of food. This article makes a deep thinking and innovative discussion on food testing work under the background of food safety.

Objective Therefore, the purpose of this study is to verify and optimize the microbial contamination control strategies during the production of sterile injections to ensure product safety and improve production quality. Methods A randomized trial design was conducted between January 2022 and December 2023, a traditional control strategy between January 2022 and December 2022, and a post-optimized strategy between January 2023 and December 2023. By comparing the microbial pollution under different strategies, combining with the production environment monitoring, process process analysis and operator behavior code assessment, the effectiveness of the control strategy is comprehensively evaluated, and the strategy is optimized. Results The study found that the optimized strategy greatly reduced the risk of microbial contamination and improved production efficiency and product quality. Conclusion The validation and optimized microbial contamination control strategy has significant results in the production of sterile injection, which provides a strong guarantee to ensure the sterility and safety of the injection products. In the future, the production process will be continuously monitored, and the control strategy will be dynamically adjusted according to the actual situation to meet the changing production environment and regulatory requirements.

Objective Judging the performance stability of atomic fluorescence spectrometer in the Laboratory. Methods We performed intermediate check to atomic fluorescence spectrometer. We test the detection limits, measurement repeatability, linear error and accuracy of the instrument for arsenic reference substances. Results Verifiable indicators are in line with the standard requirements. Conclusion This method is simple and feasible, and the performance of the atomic fluorescence spectrometer in the laboratory is stable.

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.

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.

Recombinant collagen dressings are currently a popular skin care product in the market, which can form a protective layer on the wound and act as a physical barrier. Used for the care of non chronic wounds (such as superficial wounds, laser/photon/fruit acid skin replacement/micro plastic surgery wounds), providing a microenvironment for wound healing. The detection of recombinant collagen protein in application products is one of the reliable indicators to ensure product quality. This article investigates the applicability of the identification method for a recombinant collagen liquid dressing. The applicability of a identification method for a recombinant collagen liquid dressing was studied. Peptide map method, $\mathrm{N}$ -terminal amino acid sequence method, and isoelectric focusing electrophoresis method were used to identify the recombinant collagen in the experimental sample, and the detection results showed that the peptide map method and N-terminal amino acid sequence method were applicable to the sample. However, the isoelectric focusing electrophoresis method did not detect any bands, so this method is not applicable. When choosing the identification method for recombinant collagen, enterprises should consider the actual situation of the product and adopt appropriate methods.

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 Comparing two detection methods for chlamydial trachomatis in the genital tract (GeneXpertⓇ CT/NG and Roche® Cobas 4800 CT/NG), we summarize their respective advantages and disadvantages to provide references for the promotion and application of these two methods. Methods During a field survey conducted in a sample hospital, a convenience sampling method was employed to select 60 patients. Vaginal swabs were collected from these patients for testing using the GeneXpert® CT/NG system, while urine samples were collected for testing with the Roche® Cobas 4800 CT/NG system. Staff members were tasked with recording and compiling data related to the testing process, including the time taken for testing, the cost of testing, and the positive detection rates. This data was then used to compare the two testing methods. Results The testing time for Roche® Cobas 4800 CT/NG is 293 minutes, while the testing time for GeneXpertⓇ CT/NG is 92.95 minutes. In other words, the testing time for Roche® Cobas 4800 CT/NG is 3.15 times longer than that of GeneXpert® CT/NG; When the number of tests conducted in the sample hospital reaches 3000 cases, the cost of Roche® Cobas 4800 CT/NG testing is approximately 1/5 of that of GeneXpert® CT/NG testing. As the number of tests increases, when the volume reaches 200,000 cases, the unit cost of Roche® Cobas 4800 CT/NG testing is approximately 1/3 of the unit cost of GeneXpert® CT/NG testing; Among the 60 participants in this study, 11 cases of CT positive patients were detected by GeneXpert® CT/NG, with a CT positive rate of 0.183. Roche®Cobas 4800 CT/NG detected 10 cases, with a CT positive rate of 0.167. Conclusion The GeneXpert® CT/NG test has a significant time advantage, as it takes less time and provides faster results; The Roche® Cobas 4800 CT/NG test has a cost advantage, with lower detection costs; The GeneXpert® CT/ NG test has a higher positive detection rate.