Objective To explore the comprehensive quality evaluation of Panax notoginseng based on high performance liquid chromatography (HPLC) multi-component quantification combined with grey relational analysis. Methods HPLC was used to simultaneously determine the contents of notoginsenoside R1, ginsenoside Rg1, Re, Rb1, and Rd in Panax notoginseng samples from different origins and different commercial specifications. A comprehensive quality evaluation model was established by combining the grey relational method. Results The established method simultaneously determined the contents of notoginsenoside R1, ginsenoside Rg1, Re, Rb1, and Rd, with good methodological investigation results. The grey relational method could distinguish between samples from authentic origins, qualified samples, and unqualified samples. Conclusion The fusion model of HPLC multi-component quantification and grey relational analysis was constructed to accurately evaluate the quality of Panax notoginseng, providing a scientific evaluation basis.

Objective In order to ensure the quality control of enterprise production products and improve detection efficiency, a high-performance liquid chromatography method for Benzyl Propionate Oxadiazon Granules is established. Methods The HPLC method was used to separate and determine the contents of Benzyl Propionate Oxadiazon Granules which contained the active ingredients mentioned above. In the method, the column ZORBAX Eclipse Plus${\mathrm{C}}_{18}$(${4.6}\mathrm{\;{mm}}\times {50}\mathrm{\;{mm}},{1.8}\mathrm{\;{\mu m}},{600}\mathrm{\;{Bar}}$) was used and the mixture of acetonitrile, isopropanol and 0.05% phosphoric acid solution was used as the mobile phase, and${245}\mathrm{\;{nm}}$was the selected wavelength in the determination. Results It has been found that bensulfuron methyl, pretilachlor, and oxadiazon not only have high chromatographic peak purity under this analytical method, but also have a good linear relationship. The peak purity of bensulfuron methyl in this product is 992, with a recovery rate of 98.82%. The peak purity of pretilachlor is 993.3, with a recovery rate of 99.88%. The peak purity of oxadiazon is 999.3, and the recovery rate is 99.22%. Conclusion This chromatographic method is stable and suitable for quality control analysis of this product.

With the continuous development of biotechnology, cell products have been widely used in medicine and regenerative medicine, and quality control is crucial. Enzyme linked immunosorbent assay (ELISA) is one of the detection methods known for its high sensitivity and specificity, and it is essential in the quality inspection of cell products. In view of this, this article further explores the application of ELISA and other laboratory techniques in the quality inspection of cell products.

Objective Early diagnosis of breast cancer is of paramount importance. We aim to utilize deep learning models to accurately detect the nipple area in Automated Breast Ultrasound (ABUS) data, ensuring reliable technical diagnostic support for breast tumors at an early stage. Methods Based on the YOLO series models, we locate and detect the nipple in ABUS coronal plane images, providing a positional reference for tumor diagnosis. Results The YOLO series models have all performed well. Particularly, the YOLOv5s model achieved a high precision rate of 0.955, a recall rate of 0.925, and a frame rate of 243, meeting the clinical diagnostic requirements. Conclusion The YOLOv5 model has demonstrated excellent performance in the ABUS nipple localization task. This technology provides crucial technical support for the early detection of breast tumors, with significant clinical implications.

Objective To study the correlation between acute upper respiratory tract infection pathogenetic testing and traditional Chinese medicine (TCM) diagnosis and treatment, and to provide an objective basis for TCM diagnosis and treatment. Methods 316 patients with acute upper respiratory tract infection (AURI) admitted to our hospital between January 2023 and January 2024 were randomly selected as the study subjects, and the patients were subjected to blood routine examination and pathogen antibody examination to explore the relationship between patients' TCM diagnostic typing and patients' pathogen antibody examination. Results The percentage of viral infection in 316 AURI patients was 52.53%, mycoplasma infection was 6.01%, and bacterial infection was 5.06%. Acute upper respiratory tract infection (AURI) caused by adenovirus, parainfluenza virus, and syncytial virus infection was mainly characterized by wind-cold bundling of the surface syndrome in traditional Chinese medicine (TCM); Epstein-Barr virus (EBV) and coxsackievirus infection was mainly characterized by cold-heat intermingling syndrome in TCM; influenza virus infection was mainly characterized by wind-heat violation of the surface syndrome in TCM; bacterial, pneumonia, and mycoplasma infection were mainly characterized by wind-heat violation of the surface syndrome in TCM; and bacterial, pneumonia, and mycoplasma infection were mainly characterized by wind-heat violation of the surface syndrome. AURI caused by Mycoplasma infections was mainly characterized by wind-heat syndrome; AURI caused by viral and bacterial infections was mainly characterized by cold-heat syndrome. Conclusion There is a significant correlation between the TCM diagnostic typing of AURI caused by different pathogens, and the TCM diagnostic typing can effectively predict the type of infection of the patients and provide reasonable guidance for the clinical treatment of the patients.

This paper summarizes the application status of ICP-MS technology in the detection of trace heavy metals in water bodies. The main problems of complex matrix interference, polyatomic ion interference, memory effect and insufficient mass resolution are analyzed, and the optimization countermeasures of optimizing the working parameters of collision reaction pool, adopting mathematical correction model, improving injection system and applying high resolution mass spectrometry are proposed. The research shows that, through system optimization and technical innovation, it is expected to improve the application efficiency of ICP-MS in water trace heavy metal detection, and provide reliable technical support for water environment quality monitoring.

Objective Establish a detection methodology that can quickly, easily, and in large quantities analyze and detect the blood concentration of valproic acid, and can be applied to evaluate the bioequivalence of Sodium Valproate Sustained-Release Tablets in healthy volunteers. Methods Organize subjects to take the test and reference formulations of 0.5 g sodium valproate sustained-release tablets, collect blood samples, and prepare plasma samples. Determine the concentration of valproic acid in plasma using the established ultra performance lc-mass spectrometry/mass spectrometry (UPLC-MS/MS). Results Under fasting and postprandial conditions, both formulations were bioequivalence in terms of absorption rate and degree. Conclusion This experiment established an accurate and rapid UPLC-MS/MS method for detecting the content of valproic acid in human plasma samples. Two formulations have bioequivalence.

Gas chromatography technology is an important analytical method in the detection of pesticide residues in food. It provides reliable technical support for food safety by separating and detecting pesticide components in samples. However, the technology faces challenges during its application, such as complex sample pretreatment, insufficient detection sensitivity and selectivity, and poor accuracy and reproducibility of results. To address these issues, this paper describes the application and optimization strategies of gas chromatography technology in the inspection of pesticide residues in food. These include optimizing sample pretreatment methods to improve detection efficiency, technological improvements to enhance detection sensitivity and selectivity, and quality control measures to ensure the accuracy and reproducibility of test results. Through these optimization strategies, the application effect of gas chromatography technology in the detection of pesticide residues in food can be significantly improved, providing stronger technical support for ensuring food safety.

As the key tool of petroleum exploration and exploitation, the technical level of petroleum guide equipment and instrument directly affects the efficiency and safety of petroleum engineering. At the same time, in the production process of petroleum products, laboratory testing technology also plays an irreplaceable role, and the integrated application of the two is more critical to the development of petroleum engineering. This paper discusses the integrated application of petroleum guidance equipment and laboratory testing technology in petroleum engineering, aiming to improve the efficiency and accuracy of petroleum exploration, exploitation and product testing. Through the detailed analysis of the advanced nature of guiding equipment and instruments and the latest progress of laboratory testing technology, this paper proposes the specific strategy and implementation path of the two fusion application. Research shows that this integrated application can not only significantly improve the production efficiency and safety of petroleum engineering, but also provide strong support for the high-quality development of the oil industry.

Objective In response to the low accuracy of online detection of total sulfur content in natural gas, a research on online detection method based on gas chromatography-mass spectrometry (GC-MS) technology is carried out. Methods By designing an efficient online sampling method, continuous and stable collection of natural gas samples is achieved, ensuring the representativeness of the tested samples. At the same time, combining the high-resolution and strong qualitative capabilities of GC-MS, detection and analysis conditions for total sulfur content in natural gas are set, and corresponding result calculation algorithms are developed to ensure the accuracy and reliability of the detection results. Results The comparative experiments show that the detection results of the samples tested by the proposed method are highly consistent with the actual total sulfur content, and the deviation is very small. The specific numerical deviation is within$\pm {0.2}\mathrm{{mg}}/{\mathrm{m}}^{3}$, which is significantly smaller than that of the comparison method. Conclusion This method can not only accurately and quickly determine the total sulfur content in natural gas, but also significantly improve the detection accuracy compared with the existing methods, which can effectively meet the strict requirements of natural gas quality monitoring and environmental protection, and provide strong technical support for the online monitoring of total sulfur content in natural gas industry.