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.

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.

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.

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.

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.

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 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.

With the needs of national scientific research and teaching in the new era, the types of chemicals in university laboratories are gradually increasing, and the treatment of laboratory waste liquid has attracted more and more people's attention. Improper treatment methods will bring harm to the surrounding environment and even people's healthy life. Article combined with the existing laboratory waste liquid source management is not standard, waste liquid disposal channel is not open, compare three common laboratory waste liquid disposal way, draw lessons from the advanced experience of foreign university waste liquid disposal, it is pointed out that it is necessary to clarify the main responsibility, strengthen source management, strengthen specification consciousness, through process management, multilateral coordination, dredge waste disposal way to achieve laboratory waste liquid feasible, easy, legal, compliance emissions.

Testing laboratory resources are an important support for teaching and scientific research in universities. How to evaluate the utilization efficiency of testing laboratories through big data analysis and make targeted optimization suggestions is of great significance to improving the testing capabilities and resource utilization efficiency of universities. Based on the big data analysis method, this article starts from the aspects of testing laboratory usage data collection, storage, analysis, visualization, etc., builds a testing laboratory usage efficiency evaluation model, and proposes an optimization strategy. The study found that the evaluation of testing laboratory usage efficiency needs to comprehensively consider multi-dimensional indicators such as frequency of use, duration, equipment utilization, sample processing capacity, testing accuracy, testing cycle, etc. Data collection and processing are key links. In response to the problems discovered in the assessment, optimization measures such as strengthening planning management, improving the reservation system, optimizing layout, and establishing incentive mechanisms were proposed. This study has certain reference value for promoting the informatization of testing laboratory management and improving testing capabilities and efficiency.

Chenpi is an important Chinese herbal medicine and seasoning. Their quality and safety have drawn considerable concerns by consumers. The possible chemical risk substances such as pesticides, heavy metals and mycotoxins in Chenpi will have a negative impact on the health and safety of consumers. In order to reduce and avoid the quality and safety problems, researchers have utilized a variety of analytical techniques to develop novel analytical methods for the detection of hazardous chemical substances in Chenpi. The research progress on detection techniques for the quality and safety of Chenpi in recent years is reviewed in this paper, which is anticipating to provide a certain theoretical support and technical guidance for relevant researchers.