As a hexadentate macrocyclic ligand,NOTA(1,4,7-triazacyclononane-N,N′,N″-triacetic acid) has demonstrated revolutionary potential in coordination chemistry and biomedicine due to its unique N₃O₃ coordination mode and rigid structure.This review systematically elucidates the coordination chemistry of NOTA,revealing its high thermodynamic stability achieved through synergistic nitrogen-oxygen coordination,along with its size selectivity and stepwise kinetic regulation mechanisms.In practical applications,NOTA and its functionalized derivatives have become pivotal tools for radionuclide labeling,driving advancements in targeted PET imaging probes,multimodal imaging systems,and theranostic platforms.Innovative studies highlight that NOTA derivatives significantly enhance probe hydrophilicity and tumor-targeting efficiency via click chemistry and PEGylation strategies.Furthermore,NOTA-based chelation has achieved breakthroughs in antibacterial applications and smart drug delivery systems.This review also addresses challenges in clinical translation,including kinetic limitations of chelation and metabolic stability issues,while envisioning future prospects for intelligent NOTA systems in precision medicine.

With the growing demand for environmental protection,public health and intelligent life in modern society,more and more attention has been paid to the research and development of various pollutant monitoring sensors.Spinning materials and nanofiber materials are ideal for building flexible sensors due to their high specific surface area,good flexibility,and adjustable pore structure.In this paper,the basic characteristics of flexible spinning materials and their applications in sensors are introduced,and the research progress of combining fluorescent materials with spinning materials is discussed.Then,the advantages of spinning materials in the monitoring of environmental pollutants were analyzed,including their flexibility,light weight and high responsiveness.Finally,the application of flexible spinning materials in pollutant monitoring,health monitoring and smart devices in the future is prospected,which provides a new perspective for further research in related fields.

Based on the AI-powered course framework,a “multi-dimensional penetration” teaching design for the Inorganic Chemistry course has been developed,integrating the “Online-Offline”,“Flipped Classroom”, and “Single-Track Dual-Path” teaching modes under the guiding philosophy of “Intelligent Integration and Symbiosis,Innovation and Synergistic Advancement”. By leveraging AI to enhance learning diagnostics,instructional design,data analysis,3D models,digital avatars for explanations,and intelligent systems,the entire teaching process and content are optimized.This addresses key challenges in inorganic chemistry—such as intensive mathematical derivations,abstract theories,and fragmented knowledge—by fostering dynamic collaboration and intellectual synergy among teachers,students,and human-machine interactions.It empowers multi-dimensional integration through teacher-student co-creation and mutual advancement,enabling precise matching of teaching resources,personalized learning pathways,and diversified competency development.Incorporating seven major ideological and political themes,the design organically blends professional knowledge transmission with moral education elements,creating a coherent ideological and political education framework that maximizes relevance and impact.Emphasizing diverse assessment methods—including process-oriented and outcome-based evaluations—the approach achieves comprehensive competency assessment and fulfills talent cultivation objectives.

This article introduces the important role of organic synthetic methodology in drug synthesis,engineering plastics,supramolecular chemistry,organic semiconductor materials,theoretical chemistry,and other fields.It emphasizes that organic synthetic methodology,as a central science,provides impetus for the development of various disciplines,and calls on higher education to attach importance to the development of organic synthetic methodology and actively engage in research in this field.

The interdisciplinary integration of safety while teaching chemistry courses can effectively improve the safety ability of students and the future safety production level of the chemical industry.The integration teaching mode of safety literacy into chemistry course is established in this study.The online “safety chain” of accident case display,consequence analysis,probability exploration and countermeasure design is organically integrated into the online and offline “chemistry chain” of chemistry course preview,chemical substance study,reaction condition research and chemistry homework practice,forming a“double-chain four-level”progressive integration teaching design of safety awareness stimulation,internalization of safety responsibility,improvement of safety skills and output of safety culture.The effect of “implicit” safety literacy improvement is observed and evaluated in a“three-stage”manner,covering the entire “explicit” assessment process of chemical professional knowledge from pre-class exploration,in-class practice,to after-class homework.The application results showed that the integration teaching mode had effectively enhanced the safety literacy of students in the learning of polymerization knowledge of “Polymer Chemistry”,the proportion of excellent post-class assignments of which had increased by 16%.The process of teacher design,teacher-student discussion,and student practice has promoted safety culture dissemination in the chemistry industry and the continuous improvement of the integration teaching mode of safety literacy into chemistry courses.

Physical Chemistry,as a core course in the field of chemistry,not only shoulders the crucial mission of constructing and inheriting the disciplinary knowledge system,but also holds significant and unignorable value in the construction of curriculum-based political and ideological education.Its rich history epitomizes the indomitable contributions of scientists and is imbued with ideological and political insights,effectively bridging the gap between professional knowledge and ideological and political nurturing.This paper endeavors to investigate the integration of chemical history within physical chemistry curricula,along with the seamless incorporation of ideological and political education elements into teaching methodologies.This approach not only boosts students’ enthusiasm for learning and fosters a deeper comprehension of intricate physical chemistry concepts,ultimately enhancing educational outcomes,but also nurtures in students a sound outlook on life,the world,and values.By subtly weaving these elements into the fabric of education,it accomplishes the dual objectives of imparting knowledge and shaping moral character,thereby fulfilling the fundamental educational mission of “cultivating individuals with both ability and integrity.”

To fulfil the role of mass spectrometry instruments in talent cultivation,we have established a platform combining MOOCs and virtual simulations for student learning and training.Guided by student needs,we implement refined and hierarchical management,incorporate mass spectrometry operation training into course instruction,research activities,and science popularization activities,promote instrument open sharing,enable students to learn through application and apply through learning,transform traditional approaches to teaching,learning,and using mass spectrometry instruments.This approach enhances the depth and breadth of practical skills development,improves the scientificity,development,and sustainability of instrument management,and forms an“informatized,hierarchical,and open”management model.It achieves a virtuous cycle of “instrument management-scientific innovation-talent development,” and provides an exemplary model for the open operation and educational functions of other large-scale instruments.

To address the issues of traditional titration experiments,such as time-consuming procedures,subjective endpoint determination,and a teaching focus limited to endpoint observation rather than in-depth investigation of the entire reaction process,this experiment deeply integrated computer vision technology with classical titration analysis,proposing a deep learning-based method for analyzing titration reaction kinetics.By simulating manual titration operations with a magnetic stirrer and combining smartphone video capture with YOLO-series convolutional neural network models,precise identification and measurement of color change-decolorization phenomena and pH variations during the titration process was achieved.Based on a pre-constructed database,this study utilized machine learning methods to determine the time difference between indicator coloration and decoloration in the titration system.A three-dimensional relationship among titrant volume,colordecolorationtime,and pH value was established,and the titration reaction kinetic was further investigated.By leveraging artificial intelligence and other advanced technologies,this study overcomes the limitations of conventional experimental operations.The interdisciplinary methodology expands the pedagogical dimensions and provides a novel paradigm for the digital design of analytical chemistry experiments.

The gas-liquid equilibrium phase diagram determination experiment of ethanol-cyclohexane two-component system is an important undergraduate physical chemistry experiment.However,the traditional teaching program has limitations due to the simple conclusions and content.In this study,machine learning approaches were used to upgrade this experiment with digitalization and intelligence.The random forest model trained on 9124 different components of the gas-liquid equilibrium dataset achieves accurate prediction of the gas-liquid equilibrium phase diagram of ethanol-cyclohexane and its derivatives.SHAP analysis reveals that the key factor affecting the morphology of the phase diagram is the boiling point difference of the two components.A round of teaching practice shows that the digitized and intelligent design scheme not only deepened students’ understanding of gas-liquid equilibrium phase diagram,but also provided an interactive platform for students to explore different forms of phase diagram through data analysis and model interpretation,and enhances the attractiveness of the course.This research promoted the deep integration of data intelligence technology and chemical experimental teaching,and was expected to play a demonstration role in the field of experimental teaching.

To cultivate high-quality professionals with innovative thinking and practical abilities,the polymer teaching team at Jilin University,leveraging the national first-class discipline and major construction,has introduced cutting-edge research achievements into experimental teaching,establishing an integrated teaching mode between polymer chemistry experiments and polymer physics experiments.Taking the reversible addition-fragmentation chain transfer(RAFT) polymerization experiment as an example,this paper elaborates in detail on the specific implementation of this integrated experimental teaching mode.Practice has shown that the implementation of this teaching mode broadens students’ academic horizons,enhances their scientific literacy and comprehensive analytical abilities,stimulates their learning interests and innovative thinking,provides valuable insights for the reform of polymer experiment teaching,and offers new perspectives for the efficient management of undergraduate laboratories.

This study employs an artificial intelligence symbolic regression method to analyze the sucrose hydrolysis experimental data,reproducing a kinetics equation consistent with chemical principles and optimizing the rate constant evaluation.For the symbolic regression analysis of sucrose hydrolysis polarimetry data,this study proposes:when the accurate value of α_∞ is known,the transformed data ln(α_t-α_∞) should be used;when α_∞ is unknown or difficult to measure,exponential regression should be performed on the polarimetry data α_t.Through comparative validation with traditional fitting methods,this study confirms the effectiveness of this AI-driven data processing approach and analyzes its advantages and limitations in practical applications.

Taking the“Device Fabrication”module as an example,this paper presents the application of a technology integrating knowledge graphs with large language models(LLMs) in organic electronics education.By leveraging the natural language processing capabilities of LLMs to enhance the dynamic interaction and intelligent reasoning functions of knowledge graphs,the study elucidates their pivotal role in consolidating teaching resources and optimizing instructional pathways.

In response to the 2023 Ministry of Education directive on pilot reforms in vocational education,which mandates aligning core courses with occupational standards and integrating emerging technologies,this study addresses the disconnection of core courses in pharmaceutical programs from job competency requirements and the deviation in evaluation.Taking the course Pharmaceutical Analysis and Testing Technology as a case study,the research applies the Outcome-Based Education(OBE) approach to modular curriculum redesign.Following a“backward design,forward implementation,and continuous improvement”framework,curriculum objectives were first derived from competency requirements.Subsequently,the curriculum was restructured into a four-stage modular system:Basic Cognition,Specialized Reinforcement,Comprehensive Application,and Innovative Expansion,ensuring both modular independence and progressive cohesion.Innovatively,a“dual-scenario,three-stage”teaching model integrated with PDCA cycles is implemented,and a dual-dimensional“skill-literacy”evaluation system is constructed.Implementation results indicate significant improvements:student satisfaction reached 93%,and job adaptability was enhanced,thereby effectively bridging the gap between talent cultivation and industry needs.This study provides a practical reference for reforming core courses in pharmaceutical-related programs.

In response to the issues such as insufficient integration of medicine in the basic chemistry curriculum for medical schools,abstract and difficult-to-understand theories,and weak student motivation,a“medical situation-driven”teaching mode has been developed.This mode leverages Lingnan regional culture,typical clinical diseases,century-old university historical resources,medical knowledge of life processes,and clinical medication cases as carriers to concretize abstract chemical principles into perceivable medical phenomena.This approach effectively stimulates students’ learning interests and professional identity,significantly enhancing their ability to analyze and transfer chemical knowledge in medical contexts.Teaching practice demonstrates that situation teaching not only optimizes course effectiveness and quality and promotes the restructuring of course content but also fosters interdisciplinary integration of medical and basic sciences.Furthermore,it naturally incorporates ideological and political elements,cultivating students’ scientific thinking,cultural confidence,inheritance of traditional Chinese medicine culture,and a sense of professional mission.This achieves a deep integration of value shaping and ability development.This curriculum reform represents an important practice in cultivating interdisciplinary medical talents and advancing medical education reform.

This study presents an OBE-driven reform of the coatings technology course developed through the Guangdong Provincial First-Class Course,which is specifically designed to meet the talent demands of the coating industry in the Guangdong-Hong Kong-Macao Greater Bay Area.The reform establishes an integrated“objectives-content-methods-assessment”teaching system through industry demand-oriented backward design,featuring a reconstructed three-level modular curriculum and innovative blended online-offline teaching approaches.By creating collaborative industry-academia platforms with regional leading enterprises,the program achieves deep integration of theoretical knowledge and engineering practice.The curriculum organically integrates ideological elements including engineering ethics and innovation spirit throughout all teaching processes.Supported by multi-dimensional evaluation and continuous quality improvement mechanisms,the reform has yielded significant improvements in students’ engineering practice capabilities,establishing an effective paradigm for applied engineering curriculum reform.

The rapid advancement of generative artificial intelligence(GAI) presents both unprecedented opportunities and challenges for education.To evaluate the potential of GAI in college chemistry education,this study selected 29 open-ended chemistry questions spanning different levels of Bloom’s cognitive taxonomy to assess the problem-solving capabilities of five major GAI models:ChatGPT-4.0,Kimi Assistant,Doubao,ERNIE Bot,and iFlytek Spark.The results reveal notable disparities in the models’ capabilities,especially in areas such as chemical mechanism elucidation,chemical calculation and synthesis analysis.These findings provide insights and recommendations for GAI application and future optimization in chemistry education.The study’s core innovations include two breakthroughs:First,it systematically compared the adaptability of five GAI models in teaching scenarios,addressing a gap in research that primarily focused on single models.Second,grounded in project-based learning(PBL) among first-year medical students,it establishes an integrated “AI assessment—critical thinking cultivation” framework supported by empirical evidence from the learner’s perspective.This student-centered approach not only enhanced students’ deeper understanding of chemistry but also reduced the risks associated with overreliance on AI,offering methodological support and practical guidance for the deeper integration of artificial intelligence into chemistry education.

In Chinese context,the concepts of byproducts and side products are ambiguous,and they correspond to the same Chinese term.Herein,we introduce the differences between byproducts and side products,and suggest two different Chinese terms to respectively correspond to byproducts and side products.It will be benefactory for one to deliver accurate academic communications if he/she masters the conceptual differences.We also suggest the Chinese textbooks to update their contents in association with byproducts and side products in the coming edition.

For students majoring in“chemistry”in engineering universities,it is very important to enhance their interests in learning chemistry and complete the transition from college to university.Therefore,Northwestern Polytechnical University took the lead in offering the course“History of Chinese Chemistry”in the Strong Foundation Program of“Chemistry”.By setting reasonable course content,teaching methods,and assessment methods,students’ disciplinary literacy in chemistry can be effectively enhanced,promoting their transition from major to university and laying a foundation for their subsequent professional learning.