Objective To establish an ultra high performance liquid chromatography-triple quadrupole tandem mass spectrometry (UPLC-MS/MS) method for simultaneous determination of the characteristic components of Ophiopogon japonicus and Liriope spicata (Thunb.) Lour. var. prolifera Y. T. Ma saponins B and Liriope muscari (Decne.) Baily saponins C in Xuanmai Ganju granules. Methods Xuanmai Ganju Granules were extracted by methanol ultrasound and analyzed using OMNI Orca${\mathrm{C}}_{18}$chromatography column (${2.1}\mathrm{\;{mm}}\times {100}\mathrm{\;{mm}},{2.6\mu }\mathrm{m}$). The mobile phase was eluted using a gradient elution of${10}\mathrm{{mmol}}/\mathrm{L}$ammonium acetate solution and methanol. The column temperature was set to${40}^{\circ}\mathrm{C}$, and the injection amount was${1\mu }\mathrm{L}$. The contents of methyl ophiopogon flavanone$\mathrm{A}$and methyl ophiopogon flavanone$\mathrm{B}$in Ophiopogon japonicus, as well as saponin B in Liriope spicata (Thunb.) Lour. var. prolifera Y. T. Ma and saponin C in Liriope muscari (Decne.) Baily, using an electrospray ion source (ESI), a simultaneous scanning mode of positive and negative ions, and a multi reaction monitoring mode. Results Methyl ophiopogon flavanone A, methyl ophiopogon flavanone B, saponin B from Liriope spicata (Thunb.) Lour. var. prolifera Y. T. Ma, and saponin C from Liriope muscari (Decne.) Baily have good linear relationships within their respective ranges, with $r$ values greater than 0.996 and recovery rates ranging from 90.6% to 99.8%. Conclusion This method has the advantages of simple and fast pre-treatment, high sensitivity, and accurate and reliable results. It can be used to determine the feeding situation of Ophiopogon japonicus mixed with Liriope spicata (Thunb.) Lour. in commercially available Xuanmai Ganju Granules and provide legal basis for regulatory authorities.

The comprehensive scientific research experimental platform of university affiliated hospitals integrates medical treatment, scientific research and teaching, which is the pioneer field of medical research and the core element of scientific and technological innovation system. This paper aims to analyze the current situation and dilemma of safety management of scientific research experimental platform, combined with national policies, take the affiliated hospital of Youjiang Medical University for Nationalities as an example, and introduce the practical experience of safety management of comprehensive scientific research platform in affiliated hospitals of universities. It includes comprehensively strengthening the safety awareness of scientific research personnel, comprehensively improving the safety management system and process, rationally planning the construction layout of scientific research platform, and enabling scientific research platform safety management, etc., providing a referable safety management mode of scientific research platform for affiliated hospitals of universities.

In recent years, with the increasing concern of the public regarding drug safety, the detection capabilities of drug inspection systems have been continuously improving. There has been an explosive growth in the number of drug inspection equipment, which poses new challenges for equipment quality management. Currently, there are some issues in the equipment quality management of drug inspection units. This article analyzes the problems existing in the equipment quality management of drug inspection units and proposes corresponding improvement suggestions and measures. The aim is to provide scientific and effective management approaches for the equipment quality management of drug inspection departments, and to collectively strive for improved efficiency in drug inspection equipment quality management.

Objective To study the determination of mercury and arsenic content in soil by microwave digestion/atomic fluorescence method. Methods In this study, microwave digestion was used as the pretreatment, by optimizing the digestion temperature, digestion solution dosage and other parameters, digested with aqua regia (a mixture of hydrochloric acid and nitric acid), and the contents of mercury and arsenic in the samples were determined by atomic fluorescence. Results The results showed that the correlation coefficients of the standard curves of mercury and arsenic were 0.9996 and 0.9999, and the detection limits of the method were 0.0011 mg/kg and${0.0096}\mathrm{{mg}}/\mathrm{{kg}}$, respectively. The relative standard deviation of parallel experiments was${1.3}\%\sim {8.7}\%$, all of which were within 10%. The recoveries were 91.2%~117.4% and 86.0%~98.0%, respectively. The measured values of the certified reference materials are all within the theoretical range. Conclusion By optimizing digestion temperature, digestion solution dosage and other parameters, the method is accurate, simple, reliable and has good practicability.

Objective To establish a rapid method for the determination of benzo [a] pyrene in vegetable oil by liquid-liquid extraction-high performance liquid chromatography. Methods The sample was extracted by acetonitrile oscillation, and after centrifugation, the supernatant was taken and passed through${0.22\mu }\mathrm{m}$filter membrane, and injected into high-performance liquid chromatograph for measurement. Results were quantified using matrix external standard method. Results Benzo [a] pyrene had a good correlation in the linear range of${0.5}- {20.0}\mathrm{{\mu g}}/\mathrm{{kg}}$, and the correlation coefficient${r}^{2}$was$\geq {0.9990}$. The recoveries at 0.5,2.0 and${10.0}\mathrm{{\mu g}}/\mathrm{{kg}}$were${87.0}\%\sim {111.2}\%$, and the relative standard deviations were${2.2}\%\sim {14.2}\%$. The limits of detection and quantitation were${0.2\mu }\mathrm{g}/\mathrm{{kg}}$and${0.5\mu }\mathrm{g}/\mathrm{{kg}}$, respectively. Conclusion The method is simple, rapid and accurate, and is suitable for the determination of benzo [a] pyrene in vegetable oil.

Objective This study aims to improve the accuracy and reliability of the determination of active ingredient content in Enteritis Ning Granules by optimizing high-performance liquid chromatography (HPLC) technology, and comprehensively evaluate the uncertainty of the determination results. Methods In this study, the Agilent 1260 HPLC system was used to determine the content of gallic acid active ingredient in Enteritis Ning Granules by optimizing chromatographic conditions such as mobile phase ratio, detection wavelength, column temperature, and solvent. At the same time, establish mathematical models toquantify multiple sources of uncertainty such as instrument errors, operational errors, and sample preparation errors. Results The optimized chromatographic technique significantly improved the sensitivity and accuracy of detecting active ingredients in Enteritis Ning Granules. The content of gallic acid is${27.5}\mathrm{{mg}}$, the chromatographic peak shape is symmetrical, and the separation degree and theoretical plate number have reached the ideallevel. The uncertainty analysis shows that the total uncertainty is small$\left({{U}_{\text{total }}={5.40}\%}\right)$, indicating that the optimized chromatographic technique has high reliability. Conclusion This study successfully optimized the HPLC method for determining the content of Enteritis Ning Granules, and demonstrated the accuracy and reliability of the method through a comprehensive evaluation of uncertainty. This provides a more accurate and reliable analytical method for the quality control of Enteritis Ning Granules, and also offers a new methodology for the modernization analysis of traditional Chinese medicine preparations.

In this study, a detection method based on infrared thermal imaging technology is developed for the defect detection problem of agricultural distribution network lines. This method combines advanced laser technology and infrared thermal imaging analysis to effectively improve the accuracy and efficiency of detection. The laser device is used to thermal motivate the rural distribution network line from multiple angles, and then the thermal image data is collected through an infrared thermal imager. The in-depth analysis of the thermal images accurately identifies the tiny cracks and other potential defects in the line. Experimental data show that this method can significantly improve the SNR of defect identification and reduce the missed detection rate, and it is an efficient detection technology adapted to meet the needs of modern agricultural power grid. This technology not only optimizes the detection process, but also greatly shortens the detection time, and improves the operation safety and reliability of the rural distribution network.

Objective To prepare cultivated soil standard material for agricultural soil testing process to ensure that the test process is closer to the actual test samples. Methods The candidate samples prepared by drying, crushing, grinding, mixing, packing, using the$F$test uniformity test, examined the long-term stability of the candidate in storage for more than 18 months and short-term stability of simulated transportation conditions, invited 10 long undertake the soil standard material value laboratory cooperation value, using a variety of test methods and the current advanced and reliable test methods, copper and nickel test, the sample with the average as the specified value, the final synthesis uncertainty. Results Developed by soil composition analysis standard material uniformity is good, for 18 months of stability monitoring, through the calculation evaluation for 5 years, the fixed value project comprehensive accurate, reasonable uncertainty assessment, the relative extension of copper uncertainty is${6.5}\%$, the relative uncertainty of total nickel is${6.7}\%$, better than similar concentration of other same grade of soil national standard material. Conclusion The standard material is widely used and can be used for soil composition analysis in agriculture, forestry, environment and geochemistry.

Objective To study the killing effect of glycine combined with iodophor disinfectant on drug-resistant Staphylococcus aureus. Methods Neutralizing agent identification and suspension quantitative killing experiment were used to observe the effect of glycine compound combined with iodophor disinfectant in killing drug-resistant Staphylococcus aureus. Results Iodophor can kill Staphylococcus aureus, with a dilution sterilization efficiency of 63.7%. At the same time, the addition of 4% glycine and a synergistic iodophor disinfectant found a sterilization rate of 79.6%. When killing Staphylococcus aureus in suspension, there was a significant promotion of sterilization effect, which was significantly different from the group with only iodophor$\left({P <{0.01}}\right)$. Conclusion Glycine compounds can significantly enhance the killing effect of iodine on Staphylococcus aureus and increase the sensitivity of bacteria to disinfectants.

Due to the strong randomness of fault distribution and low reliability of detection results in zinc oxide lightning arresters, a fault detection method for zinc oxide lightning arresters based on infrared thermal imaging technology is proposed. The FLIR T600 infrared thermal imager with a resolution of${640}\times {480}$pixels is used to capture thermal sensing images of lightning arresters. The fault area is identified through temperature characteristics of the fault location and binary image processing, and the detection output of temperature abnormal areas is obtained. The test results show that the detection results of different areas of the zinc oxide lightning arrester device are completely consistent with the manual detection results, and there are no missed or false detections.