With the application of surveying and mapping technology in land management, urban planning, resources exploration, environmental protection, disaster prevention and other fields in our country, the demand for surveying and mapping talents is strong, and the construction and management of surveying and mapping engineering laboratories in colleges and universities play an increasingly prominent role in personnel training. At present, the phenomenon of insufficient area of surveying and mapping engineering laboratories in colleges and universities, the updating and maintenance of instruments and equipment are not timely, and the management measures are not in place is more prominent. On the basis of analyzing the existing problems, this paper explores how to strengthen the scientific management of laboratory from the aspects of marking, placing, registration management, maintenance and repair of instruments and equipment.

Objective To compare the diagnostic value and healtheconomic value of rapid detection of mycobacterium tuberculosis andrifampicin resistance (XpertMTB/RIF), mycobacterium nucleic acidPCR-fluorescent probe detection (MTB-NTM-PCR) and RNA isothermalamplification real-time fluorescence detection (SAT-TB) in detectingbronchial alveolar lavage fluid (BALF) in smear-negative pulmonarytuberculosis Be worth. Methods A retrospective analysis was conducted on100 patients with clinically diagnosed pulmonary tuberculosis butnegative sputum smears admitted to Guiyang Public Health TreatmentCenter from January 2019 to July 2022. All patients had negative sputumsmears for three consecutive times and underwent fiberoptic bronchoscopyin the fiberoptic bronchoscopy room of our hospital. BALF specimens weresimultaneously tested by smear acid-fast staining, GeneXpert MTB/RIF,MTB-PCR and SAT-TB detection methods. Taking the final clinicaldiagnosis of pulmonary tuberculosis as the gold standard, the diagnosticefficiency of the three methods and cost-effectiveness analysis werecalculated. Results The positive rates of XpertMTB/RIF, MTB-PCR andSAT-TB in 100 BALF samples were 53.00%, 43.00% and 35.00%, respectively.Taking clinical diagnosis as the gold standard, the positive rates ofXpertMTB/RIF $\left({{\chi }^{2}= {21.459}, P<{0.001}}\right)$ , MTB-PCR $\left({{\chi }^{2}= {17.695}, P<{0.001}}\right)$ , SAT-TB $\left({{\chi }^{2}= {12.631}, P<{0.001}}\right)$ and clinical diagnosis were statisticallysignificant. The sensitivity of XpertMTB/RIF, MTB-PCR, SAT-TB,XpertMTB/RIF+MTB-PCR, XpertMTB/RIF+SAT-TB, MTB-PCR+SAT-TB and the threecombined detections were 64.20%, 53.09%, 43.21% and 67, respectively ${90}\%,{66.67}\%,{58.02}\%,{69.14}\%$ ; Thespecificity was ${94.74}\%,{100.00}\%,{100.00}\%,{94.74}\%,{94.74}\%,{100.00}\%$ ,94.74%, respectively. ROC analysis showed that The AUC of XpertMTB/RIF,MTB-PCR, SAT-TB, XpertMTB/RIF+MTB-PCR, XpertMTB/RIF+SAT-TB,MTB-PCR+SAT-TB and the combined detection were 0.795, 0.765, 0.716 and0.813, respectively 0.807, 0.790, 0.819. Conclusion In the rapiddetection of negative tuberculosis, it is not recommended to select theabove three tests at the beginning of diagnosis and treatment. In termsof cost effectiveness, MTB-PCR can be used as the preferred diagnosticmethod for smear-negative pulmonary tuberculosis.

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 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.

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.

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.

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.

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.

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.