New Vistas of Chemistry: An Interdisciplinary Approach

Abstract Chemistry is rapidly evolving from a discipline focused primarily on molecules and reactions to an integrated, interdisciplinary field that addresses global challenges in energy, environment, health, and materials. This review-style paper surveys recent research and development trends that exemplify the convergence of chemistry with data science, materials engineering, environmental science, and industrial process engineering. Key developments include the application of artificial intelligence and machine learning to accelerate molecular design and drug discovery; advanced photocatalytic and combined treatment technologies for water remediation; electrochemical carbon capture and conversion strategies that integrate renewable electricity with CO₂ reduction; and improved analytical methods for detecting emerging contaminants such as per- and polyfluoroalkyl substances (PFAS). Representative analytical data (simulated for demonstration) illustrate how interdisciplinary experiments are reported and statistically assessed: a combined photocatalytic + adsorption treatment simulated dataset shows a mean PFAS reduction of 76.3% (SD 6.0%), with a paired t-test indicating highly significant reductions (t = 18.320, p < 0.0001). The paper discusses the role of high-resolution mass spectrometry, data fusion, and chemometrics in environmental monitoring and the challenges of translating lab-scale innovations into scalable, energy-efficient technologies. We conclude that interdisciplinary frameworks, supported by robust analytics and open-data practices, are essential to accelerate the translation of chemical discoveries into societal impact while ensuring environmental safety and sustainability.