1 Department of Mechanical Engineering, Zhejiang University, Hangzhou, China.
2 Department of Research and Innovation, Schrödinger Technologies Ltd, Kano State, Nigeria.
3 Department of Materials Science and Engineering, The Ohio State University, Columbus, USA.
4 Department of Chemical Engineering, Lagos State University, Ojo, Nigeria.
5 Department of Physics and Astronomy, East Texas A&M University, Commerce, USA.
6 Department of Chemistry, East Texas A&M University, Commerce, USA.
7 Department of Laboratory and Medical Pathology Mayo Clinic, Rochester, Minnesota, USA.
8 Department of Chemical Engineering, Faculty of Engineering, Carnegie Mellon University, USA.
9 Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, 2525 Pottsdamer Street, Tallahassee, FL 32310, USA.
10 Department of Industrial Design Engineering, Zhejiang University, Hangzhou, China.
World Journal of Advanced Research and Reviews, 2025, 26(03), 279-314
Article DOI: 10.30574/wjarr.2025.26.3.2188
Received on 30 April 2025; revised on 31 May 2025; accepted on 03 June 2025
Advanced material characterization is credited with unraveling the complex structures and properties of organic and inorganic materials, thereby supporting innovations in energy, electronics, catalysis, and the environment. This review comprehensively analyzes modern characterization techniques, classifying them into spectroscopic, microscopic, chromatographic, thermal, optical, and specialized advanced methods. Specific emphasis is given to how the techniques respond to the unique demands of organic and inorganic systems. The review also discusses emerging trends such as in-situ and operando analysis, multimodal approaches, high-throughput procedures, and the integration of machine learning for data interpretation. Applications in organic electronics, nanomaterials, catalysis, energy storage, environmental monitoring, and quantum technologies are discussed. Challenges and future outlook are critically discussed to guide the creation of more efficient and automated platforms for next-generation materials research.
Advanced Characterization; Organic Materials; Inorganic Materials; In-Situ Techniques; Multimodal Analysis; Machine Learning.
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Oresegun Olakunle Ibrahim, Reuben Zakari Kabantiyok, Egbuzie Daniel Chinemerem, Emmanuel Favour Oluwadarasimi, Md Samin Yeasar Zahan Sparsha, Usoshi Mohsin, Abraham Chibuikem Ikeji, Mohammed Issa Abdulrahman, Modupe Elizabeth Ojewumi and Sekete Maseala Camilla. Advanced characterization techniques for organic and inorganic materials: Emerging trends, innovations, and multidisciplinary applications. World Journal of Advanced Research and Reviews, 2025, 26(3), 279-314. Article DOI: https://doi.org/10.30574/wjarr.2025.26.3.2188