Objective A 4-mercaptobenzoic acid/polypeptide-modifiedgold nanoparticle modified surface enhanced Raman spectroscopy (SERS)sensor was developed for rapid detection ofAg ${}^{+ }$ in water. Methods $\;\mathrm{A}{\mathrm{{Ag}}}^{+ }$ surfaceenhanced Raman spectroscopy sensor was constructed by combining aspecificAg ${}^{+ }$ peptiderecognition sequence (RFPRGGDD) with 4-mercaptobenzoic acid, and datawas read using a portable Raman spectrometer. Results In theconcentration range of ${10}\sim {850}\mathrm{{nmol}}/\mathrm{L}$ ,the linear relationship was good, the correlation coefficient $\left({r}^{2}\right)$ was 0.98345, thelimit of detection was ${36}\mathrm{{pmol}}/\mathrm{L}$ , thestandard recoveries were ${95.28}\%\sim {102.9}\%$ , and therelative standard deviations were 0.79%~3.73%. Conclusion The method has high response speed, good selectivity and low detection limit, and is suitable for rapiddetection of Ag+ in water.

Objective To establish an optimal method for thedetermination of available copper, iron, manganese and zinc in soil inSanpu. Methods AB-DTPA leaching and inductively coupled plasmaspectrometry were used to determine the available $\mathrm{{Cu}},\mathrm{{Fe}},\mathrm{{Mn}}$ and $\mathrm{{Zn}}$ in soilsimultaneously. Results The detection limit and precision met theanalysis requirements, and the high accuracy of copper, iron andmanganese were in the concentration range of ${0.50}\sim {100}\mathrm{{mg}}/\mathrm{L}$ ,and zinc was in the concentration range of ${0.25}\sim {10.0}\mathrm{{mg}}/\mathrm{L}$ .The linear relationship was good, and the correlation coefficients wereall above 0.999 . The detection range of the method was in the range of ${0.06}\sim {0.69}\mathrm{{mg}}/\mathrm{{kg}}$ ,and the blank test results were stable. The precision of the methods wasless than 5.0%, and the parallel differences of the samples were allwithin the qualified range. The available iron, manganese and copper,zinc in the sample are different by one to two orders of magnitude, andthe determination can still obtain accurate results. Conclusion Thedetection limit and precision of this method meet the requirements ofanalysis, and the accuracy is high, which is suitable for the detectionof available copper, iron, manganese and zinc in soil.

Objective To optimize the conditions for the determinationof total $\alpha$ and total $\beta$ radioactivity in drinking water andimprove the accuracy of the experiment. Methods On the basis ofmeasuring the residue content in drinking water, the total $\alpha$ and $\beta$ radioactivity values in drinkingwater were determined by improving evaporation and concentration processand optimizing reagent conditions. Results In this study, the amount ofresidue, $\alpha$ and $\beta$ radioactivity increased, and thetest time was reduced compared with the traditional method. Conclusion The method significantly improves the accuracy of results and testingefficiency and can be further optimized. It provides certain researchsignificance in the quality control of laboratory measurements.

Objective To study and improve medical equipment fault diagnosis techniques by utilizing system state detection methods to quickly and accurately diagnose faults in medical equipment without schematics, thereby enhancing the efficiency and accuracy of equipment maintenance. Methods This study employed the system state detection method, using online testers and digital oscilloscopes to establish a system state database for the equipment. The study involved 20 common medical devices from a hospital, including blood oxygen monitors and laminar flow fan frequency converters. When equipment failures occurred, traditional fault localization methods were first used to narrow the fault range to the board level. Subsequently, online testers and digital oscilloscopes were used for component comparison testing, combined with previous successful cases for fault diagnosis. Results Among the 20 medical devices, 18 were successfully diagnosed and repaired, achieving a fault diagnosis accuracy rate of 90%. Specific cases included successfully eliminating ADC chip faults in the PM9000 monitor's blood oxygen board and E2PROM faults in the laminar flow fan frequency converter. By establishing a system state database and case database, the efficiency of equipment fault diagnosis was significantly improved, with the average diagnosis time reduced by 30%. Conclusion System state detection can effectively enhance the accuracy of medical equipment fault diagnosis and should be further promoted to optimize maintenance management.

Objective To investigate the disintegration and dissolutionproperties of alprogesterone as a feed additive under differentenvironmental conditions, and to develop a suitable tablet for pig farmfeeding. Methods The prescription was screened by 3-factor and 3-levelorthogonal test, and the disintegration time, dissolution and appearancequality of the tablets were tested. Results The disintegration time ofthe optimized allyl gestrel was $7\sim {15}\mathrm{\;{min}}$ , which was better than $2 \sim 5\mathrm{\;{min}}$ of conventionaltablets. Conclusion The optimized dissolution and content of allylgestrel meet the standard, which is convenient for sows to consume andcan meet the feeding needs of pig farms.

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 improve the detection method of bulk densityof powder materials, in order to improve the accuracy and efficiency ofthe detection results of cement. Methods Through the improvement ofauxiliary metal rod rotation technology at the pipe to loosen thematerial and make it fall naturally, the detection data before and afterthe improvement of cement volume density detection technology werecompared to find a more environmentally friendly, faster and accuratetest method. Results The improved test data did not fluctuate due to theequipment displacement, and the cement bulk density remained at ${1.03}\mathrm{\;g}/{\mathrm{{cm}}}^{3}$ inthe loose state, the whole test process took a short time ( ${1.5}\mathrm{\;{min}}$ ), there was no dustin the test process, and the test results did not exceed the errorrange, all of which were better than the measured data before theimprovement. Conclusion The improved test method can improve theaccuracy and precision of cement performance test more scientifically,and can make the test results closer to the real value, which isfeasible, has certain social and economic value, and is worthpopularizing.

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.

In modern society, food and drug safety is a major issue related to public health and social stability. With the progress of science and technology, the application of information technology in food and drug inspection and testing has become the key to improve the efficiency and accuracy of testing. This paper aims to discuss the specific application and role of information technology in food and drug inspection and testing. From automated detection to advanced data analysis, from remote monitoring to the application of blockchain technology, information technology is gradually changing the face of food and drug inspection and testing, providing strong technical support to ensure product quality and public health and safety. Through comprehensive analysis of these technologies, this article aims to provide reference and guidance for the research and practice of informationization in the field of food and drug testing.

Objective This study aims to establish an efficient andaccurate method for the determination of zinc content in mineral samplesbased on the flame absorption method of atomic absorptionspectrophotometer, in order to meet the growing demand for metal elementdetection in various fields. Methods The zinc content was determined byatomic absorption spectrophotometer, combined with pretreatment samples,experimental procedure, optimization of instrument measurementconditions and establishment of standard curve. Results The establishedmethod has high precision and accuracy, the recovery rate is99.1%~99.9%, and the correlation coefficient is 0.9998 . The detectionlimit of the method was ${0.1}\mathrm{{\mug}}/\mathrm{{mL}}$ , indicating that the method had goodquantitative analysis ability. Conclusion The method has not only highsensitivity and selectivity, but also simple operation and reliableresults, which is of great significance for environmental protection andoptimal utilization of resources.