Covalent organic frameworks(COFs) are a novel class of polymeric materials composed of lightweight elements such as C,H,N,and O,connected by covalent bonds.They possess outstanding advantages including high specific surface area,high porosity,low density,ordered pore channels,and controllable structures,which have attracted significant attention from researchers.This article synthesizes recent research achievements by domestic and international scholars,summarizing the preparation methods of β-ketoenamine-based COFs(TpPa-1) and their composite materials.Additionally,it reviews the research progress in the applications of TpPa-1 and its composites in fields such as separation,adsorption,catalysis,and energy storage.Finally,corresponding suggestions are proposed to address existing challenges.

As the core paradigm for understanding the material world in chemistry,structural analysis at the atomic-molecular level forms the foundation for comprehending the properties and transformation patterns of matter.The stereochemical structure of covalent molecules/ions,as a key concept spanning secondary to university chemistry curricula,plays a pivotal role in cultivating students’ microscopic analytical abilities and constructing their chemical thinking frameworks.This study focuses on the content continuity issues between current secondary school textbooks and university curricula on this topic.Through systematic comparative analysis,it identifies teaching challenges such as fragmented theoretical models and discontinuities in cognitive pathways.To address this,this paper integrates Lewis theory,valence shell electron pair repulsion theory,hybridization theory,and molecular orbital theory to construct a progressive analytical framework:“electron pairing → spatial arrangement → orbital hybridization → delocalization effects”. By clarifying the applicability boundaries of each theory,this framework helps students smoothly adapting to the study of chemistry courses at the university level,strengthens the bridging function of freshman-level courses,and promotes seamless continuity between basic and higher chemistry education.

The multidimensional integrated curriculum system has been established by deeply integrating information technology with curriculum teaching,solidifying the foundation of digital resource construction,and merging online and offline learning,ideological and political education with professional courses,industry and academia,science and education,theory and practice,virtual and reality.Firstly,we have aimed to strengthen the multidimensional nature of knowledge and deepen the high-level nature of course content by constructing course ideological and political education cases,practical training projects,course knowledge bases,and knowledge graph databases.And then the teaching team has built the “six focus” course ideological and political case library,and innovated the “seven integration” teaching measures,implemented the AI powered online and offline hybrid “six linkage” teaching design,strengthened interactivity,and thus constructed the “6-7-6” course teaching system.Furthermore,the students’ academic and practical innovation abilities have been enhanced by empowering teaching with scientific research,applying scientific research linkage to serve teaching practice.By utilizing the teaching and practical platforms that integrates online and offline teaching,as well as in class and out of class collaboration,guided by comprehensive assessment and evaluation throughout the entire process and in all aspects,we have implemented the teaching reform and innovation in Analytical Chemistry based on “ideological and political education,digital intelligence empowerment,and multidimensional integration”,and achieved the trinity educational goal of knowledge imparting,ability cultivation,and value shaping.

The School of Chemistry and Environmental Engineering of Changchun University of Science and Technology has innovatively established a dual-track collaborative training system of“academic guidance+growth escort”,exploring a new mode for cultivating top-notch chemistry talents in the new era.This mode has experienced teachers serving as class advisors,forming a joint educational force with counselors.Class advisors and research advisors are responsible for academic guidance,and through the“Elite Growth Program”,they implement academic planning,research training,and guidance for subject competitions.Counselors focus on providing growth support,establish dynamic growth files,and offer full-cycle tracking services such as psychological counseling and career planning.Through the collaborative education of“professional mentors+ideological and political mentors”,it not only strengthens students’ scientific research and innovation capabilities but also cultivates their sense of mission and responsibility to serve the country through science and technology.The implementation has achieved remarkable results.The postgraduate study rate of the 2024-2025 graduates exceeded 60%(82.4% were admitted to 985/211 universities),organically integrating knowledge imparting,ability cultivation and value guidance.This provides replicable practical experience for provincial universities to cultivate top-notch chemistry talents of the new era.

There are a large number of abstract concepts and physical explanations in polymer physics.The difficulty is how to make the knowledge more intuitive so understanding of students can be easier and deeper.Visualization of the knowledge through images or animations is an effective way to solve this problem.In this work, teaching of chain conformation is taken as an example to demonstrate artificial intelligence(AI) assisted visualization teaching.AI was used to develop a simulation program,which can show random walking of polymer chain in three-dimensional space and calculate statistical parameters such as mean square end-to-end distance.By combining pre-set question,computer simulation,and guided discussions,rather positive feedback have been achieved in classroom teaching.This exploration demonstrates the great potential of using AI to assist visualization teaching in the course of polymer physics.

To address the abstract nature of chemical reaction kinetics and improve student comprehension and engagement,this study applies a student-centered approach combining the BOPPPS teaching mode with digital learning strategies.The instructional design integrates tools such as courseware,digital boards,Rain Classroom,VR-based virtual simulations,and digital avatars into all phases of BOPPPS,including Bridge-in(B),Objective(O),Pre-assessment(P),Participatory Learning(P),Post-assessment(P),and Summary(S).This method facilitates active learning through smart technologies and strengthens conceptual understanding.Teaching practice shows that the mode effectively develops students’ scientific thinking,enables practical problem solving,and significantly increases both participation and knowledge retention.It offers a valuable reference for innovating instruction in abstract topics such as chemical kinetics teaching.

On the basis of the foundational experiment of acetanilide preparation,a comprehensive organic chemistry experiment of“preparation and characterization of N-(4-methylphenyl)pyrrole-2,5-dione”was developed.In this experiment,maleic anhydride and p-toluidine were employed as starting materials to synthesize N-(4-methylphenyl)pyrrole-2,5-dione via a two-step process:ring-opening amidation followed by cyclization and dehydration,using triethylamine as a catalyst and acetic anhydride as a dehydrating agent.The product was characterized through melting point measurement and spectroscopic techniques including IR,¹H NMR and ¹³C NMR.The experimental procedure involved a series of fundamental organic laboratory operations,such as constant pressure addition,ice-water bath cooling,reflux heating,recrystallization,vacuum filtration,oil bath heating,and drying.This experiment not only deepens students’ understanding of essential organic reaction mechanisms and reinforces basic laboratory skills,but also broadens their academic perspective and stimulates enthusiasm for learning,which plays an important role in the cultivation of high-level innovative talent.

Under the background of“New Engineering”education,chemistry laboratory courses need to strengthen research orientation and innovation cultivation.This study takes the catalytic hydrolysis of sodium borohydride for hydrogen production as an example and designs a comprehensive chemistry experiment integrating frontier research content with innovation training.The experiment involves catalyst synthesis,structural characterization,performance evaluation,and data analysis,forming a deeply integrated system of teaching and research.Teaching practice shows that this experiment helps enhance students’ research literacy,experimental skills,and innovative thinking,promotes the transformation from verification-based to research-oriented learning,and offers a valuable model for reforming comprehensive chemistry experiment teaching.

Integrating green chemistry principles into undergraduate laboratory education,this study develops an innovative teaching experiment through visible-light photocatalytic oxidation of 1-indanol to 1-indanone using ambient air as the oxidant,an acridinium salt photosensitizer,and acetonitrile solvent under 420～430 nm blue light irradiation for 1 hour(80% isolated yield).This protocol demonstrates superior sustainability over traditional metal-catalyzed or stoichiometric oxidant systems via mild conditions,operational safety,and high atom economy.The integrated“synthesis-monitoring-separation-characterization”pedagogy incorporates thin-layer chromatography for real-time reaction tracking,column chromatography for purification,NMR spectroscopy for structural confirmation,and exploratory modules for photosensitizer/solvent optimization.This design enables students to master organic photocatalysis,separation techniques,and spectral interpretation while enhancing scientific reasoning and green chemistry literacy,establishing a transferable mode for pharmaceutical intermediate synthesis education.

An interactive visualized instrument training mode based on digital technologies(artificial intelligence(AI) and interactive video) has been proposed to address the limitation of insufficient interactivity and weak independent operation ability of students in the traditional instrument training mode.Taking the atomic absorption spectrophotometer,a common instrument used in chemistry,environment,and related specialties,as an example,this research explores AI-generated mind maps for instrument principles learning and interactive video-based modules for operational training.The results demonstrate that this mode significantly enhances students’ comprehension of instrument principles and their hands-on operation skills,while reduces the training workload for laboratory technicians.This mode holds high potential for promoting independent operation of suitable instruments and provides valuable insights for innovative management and training practices of university laboratory equipment.

The marine chemical engineering technology resource database is built upon the modern apprenticeship talent training mode characterized by“one main line,two entities,four combinations,five alignments,and six collaborations”.It addresses the needs of the marine chemical engineering industry by establishing a curriculum system for the marine chemical engineering professional cluster featuring“shared foundational courses,differentiated professional courses and selective extended courses”.Functional modules including“one museum,two parts,three bases and four centers”are designed to achieve dynamic updating of data resources and the integration of training and practice.Additionally,artificial intelligence is integrated to enhance teaching and management efficiency,which supports the development of three core majors:marine chemical engineering technology,applied chemical engineering technology and analytical testing technology.Currently,26 standardized courses,10 466 exercises and 7 551 sources have been developed,serving 80 665 users.The teaching practice integrated by“positions,courses,competitions and certifications”has been effectively supported by the resource database project,which is a crucial platform for achieving maritime power strategy and responding to the development of new-quality productivity.

An innovative experiment was designed that integrates the fabrication of nano-metal electrochemical sensors,modern analytical testing techniques,and sensing detection into pharmaceutical engineering teaching,in order to enhance students’ comprehensive innovative capabilities.The experiment consists of three parts:research on the manufacturing process of bimetallic electrochemical sensors,performance analysis of bimetallic nanomaterials,and research on the detection method of rutin.Nano-metal materials were prepared by high-temperature carbonization,and their structure and performance were analyzed by scanning electron microscopy and X-ray diffraction.The electrochemical properties of rutin,including its stability and responses to pH,impedance,active surface area,scan rate,and interference resistance,were detected by cyclic voltammetry and differential pulse voltammetry.Through implementing this experiment,students can understand the basic knowledge of drug testing,familiarize themselves with the basic principles and testing steps of modern analytical testing technology,master the data analysis methods of drug analysis in this major,and thus improve their innovative practical ability and professional quality.

To address the disconnection between undergraduate laboratory teaching in non-chemistry majors(such as environmental,materials,and chemical engineering) and cutting-edge research and industry demands,this study designed and implemented a coagulation-sedimentation teaching experiment focused on emerging pollutants,using cerium oxide(CeO₂) nanoparticles as an example.Based on constructivist and inquiry-based teaching concepts,the experiment integrated classical water treatment techniques with frontier environmental issues and introduced a large language model(LLM) to assist students in quantitatively calculating the DLVO interaction energy barriers.The purpose of this experiment is to cultivate students’ engineering practice skills,data analysis abilities,and lifelong learning habits.This paper thoroughly describes the instructional design principles,implementation processes,a multidimensional evaluation system,and in-depth teaching reflections.The practical teaching experience demonstrated that the experimental approach is simple,safe,and effective in guiding students to investigate how coagulation dosage,pH,and other factors influence the removal mechanisms of emerging pollutants.By organically combining theoretical understanding,hands-on practice,and advanced tools,the approach significantly enhances students’ abilities and interest in addressing complex practical problems.This work provides valuable insights and serves as a reference for reforming chemical laboratory teaching for non-chemistry majors such as environmental science,materials science,chemical engineering,and biomedicine within the context of new engineering disciplines.

Novel energy catalysis technology serves as a vital means and guarantee for the“energy technology revolution.”Against the current backdrop of rapid advances in artificial intelligence(AI),cultivating professionals who possess both foundational AI knowledge and the ability to meet industrial demands is key to driving technological innovation.This is of great significance for achieving China’s energy independence and its“dual carbon”goals.In response to existing issues in practical talent training,such as outdated course content,outdated practical teaching modes,and insufficient application-oriented platforms,we have proposed an innovative practical education mode:“AI+Industry-Education Integration”,designed to address strategic national needs in energy catalysis.This mode introduces the latest research and industrial advances in AI and energy catalytic materials into the talent development process.By leveraging the academic strengths,alumni resources,and industry collaboration experience of“Double First-Class”universities such as Tianjin University and the University of Electronic Science and Technology of China in energy catalysis and AI,and by incorporating advanced interactive AI technologies,the program aims to cultivate interdisciplinary and innovative talents who can meet both industrial and academic development needs.Through ongoing exploration,this mode has already achieved positive outcomes:participating students have published several high-level research papers,won multiple awards in disciplinary competitions,and produced a range of practical results aligned with major national needs.We hope this mode can serve as a useful reference for similar universities.

In the age of artificial intelligence,scientific and innovative talents must be equipped with the capability to address scientific problems through computational thinking.Chemical kinetics simulation is introduced to the physical chemistry laboratory courses for pharmacy majors.Using Python,first-order reaction and consecutive reaction are employed as case studies to systematically explain the fundamental concepts and methodologies of scientific computing and modeling.Meanwhile,students are guided to perform kinetic simulations of enzymatic reactions and verify the Michaelis-Menten equation.This teaching practice breaks through the skill-based training mode and time-space constraint of traditional experiments,enhances students’ understanding of kinetic laws governing complex systems,and thereby achieves the goal of cultivating interdisciplinary innovative talents.

With the rapid development of computational chemistry and artificial intelligence technologies,their application in chemical education is becoming increasingly important.In current research and teaching practices,Python is gradually becoming a key tool in computational chemistry courses.Python language is widely used in teaching due to its open-source nature,rich scientific computing libraries(such as NumPy,SciPy,RDKit,ASE,PySCF),and excellent visualization support(such as Matplotlib,Plotly,PyMOL,VMD).Teaching practices show that Python not only helps students understand abstract chemical modeling and computational methods but also enables them to simulate,optimize,and visualize molecular systems firsthand.By combining machine learning techniques,students can experience a data-driven paradigm of chemical research,thereby enhancing their learning initiative and exploratory capabilities.

Addressing student misconceptions regarding the differing reactivity patterns of alkyl halides and alcohols in elimination reactions,this study employs Frontier Molecular Orbital(FMO) theory to elucidate the underlying mechanistic principles.Comparative analysis of the orbital energy matching requirements reveals the quantum chemical basis for the difficulty of E2 elimination in alcohols lacking β-electron-withdrawing groups,the high energy of the σ^*(C—O) LUMO orbital results in a large energy gap with the HOMO of common bases.In contrast,alkyl halides readily undergo reaction due to the significantly lower energy of the σ^*(C—X) orbital.Furthermore,using fluoroalkanes as a model system,the fundamental distinction between E1cb and E2 mechanisms(carbanion stabilization versus a concerted transition state) is clarified.This approach promotes student understanding of the electronic effects governing the reaction outcomes,effectively resolving student confusion.