The convergence of chemical engineering and nanotechnology has created revolutionary prospects in material design, catalysis, energy storage, and biomedical applications. This article examines the changing responsibilities of chemical engineers in the creation and development of functional nanomaterials – substances designed at the molecular or atomic level to exhibit specific characteristics and functions. The article discusses important synthesis methods such as sol–gel processing, chemical vapor deposition, and self-assembly. It also talks about how to combine computer modelling with process engineering ideas. To show how nanoscale advances can affect the actual world, the authors look at how they can be used in medicine delivery systems, nano-catalysts, and next-generation batteries. There are additional problems with scalability, reproducibility, and environmental safety. This shows how important chemical engineers are in connecting basic research with large-scale production. Chemical engineers are in a unique position to lead the creation and use of nanomaterials that are both useful and environmentally friendly, as the need for precision-engineered materials develops.

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1. Smith DK. Synthesis and characterisation of carbon nanotubes, gold nanorods, silica-coated nanocrystals, and binary nanocrystal superlattices. 2009.
2. Ariga K, Abe H, Ji Q, lvov YM. Halloysite and related mesoporous carriers for advanced catalysis and drug delivery. In: Functional Polymer Composites with Nanoclays. 2017. pp. 207–222. doi: 10.1039/9781782626725-00207.
3. Manning JRH, Brambila C, Rishi K, Beaucage G, Davies G-L, Patwardhan SV. Quality-by-design approach to process intensification of bioinspired silica synthesis. ACS Sustainable Chem Eng. 2024;12(12):4900–4911. doi: 10.1021/acssuschemeng.3c07624.
4. Bondi RJ. First-principles atomistic modelling for property prediction in silicon-based materials. 2011.
5. Lee Y. Electronic structure and quantum conductance of nanostructures. PhD thesis. Massachusetts Institute of Technology; 2006.
6. Wen C, Liu Y, Tao F. Bringing together surface science, nanoscience, and catalysis. Pure Appl Chem. 2010;83(1):243–252. doi: 10.1351/PAC-CON-10-11-04.
7. Yu X. Assembly of surface engineered nanoparticles for functional materials. PhD dissertation, University of Massachusetts; 2013. doi: 10.7275/cb61-mm94.
8. Solis EOP. Controlled formation of nanostructures with desired geometries: Robust dynamic paths to robust desired structures. 2009.
9. Ortiz de Zárate D, García-Meca C, Pinilla-Cienfuegos E, Ayúcar JA, Griol A, Bellières L, et al. Green and sustainable manufacture of ultrapure engineered nanomaterials. Nanomaterials (Basel). 2020;10(3):466. doi: 10.3390/nano10030466.
10. Marro N, Suo R, Naden AB, Kay ER. Constitutionally selective dynamic covalent nanoparticle assembly. J Am Chem Soc. 2022;144(31):14310–14321. doi: 10.1021/jacs.2c05446.
11. Marro N, della Sala F, Kay ER. Programmable dynamic covalent nanoparticle building blocks with complementary reactivity. Chem Sci. 2019;11(2):372–383. doi: 10.1039/c9sc04195h.
12. Gerbaud V, Joulia X. Molecular modelling for physical property prediction. In: Puigjaner L, Heyen G, editors. Computer Aided Process and Product Engineering. 2006. doi: 10.1002/9783527619856.ch4.
13. Stampfl KC, Reuter M, Scheffler M. Ab initio atomistic thermodynamics and statistical mechanics of surface properties and functions. In: Handbook of Materials Modeling. 2005. pp. 149–194. doi: 10.1007/978-1-4020-3286-8_10.
14. Valavala PK. Multiscale constitutive modelling of polymer materials. In: ASME International Mechanical Engineering Congress and Exposition. 2008. doi: 10.37099/mtu.dc.etds/417.
15. Kalweit NM, Shapiro E, Asproulis Drikakis D. Mesoscale flow and heat transfer modelling and its application to liquid and gas flows. J Nanophotonics. 2009;3(031960):1–15. doi: 10.1117/1.3269638.
16. Williamson EM, Brutchey RL. Using data-driven learning to predict and control the outcomes of inorganic materials synthesis. Inorg Chem. 2023;62(40):16251–16262. doi: 10.1021/acs.inorgchem.3c02697.
17. Moosavi SM, Jablonka KM, Smit B. The role of machine learning in the understanding and design of materials. J Am Chem Soc. 2020;142(48):20273–20287. doi: 10.1021/jacs.0c09105.
18. Kim JK. Novel materials for storing and converting energy in a sustainable way. Materials. 2020;13(11):2475. doi: 10.3390/ma13112475
19. Kim S. Engineering the morphology & interface of nano-sized metal oxides for highly efficient energy devices. In: New Frontiers in Materials Science. 2019. pp. 159–185. doi: 10.1002/9781394314935.ch9.
20. Mowbray DJ, García-Lastra JM, Larraza Arocena I, Rubio Á, Thygesen KS, Jacobsen KW. Computational design of chemical nanosensors: Transition metal doped single-walled carbon nanotubes. Mat Sci. 2011. doi: 10.48550/arXiv.1112.1052.
21. Koen KA. Sub-diffraction limited morphology characterisation in single noble metal nanoparticles and single conjugated polymer chains using optical microscopy techniques. 2017.
22. Mabrouk M, Das DB, Salem ZA, Beherei HH. Nanomaterials for biomedical applications: Production, characterisations, recent trends, and challenges. Molecules. 2021;26(4):1077. doi: 10.3390/molecules26041077.
23. Harish V, Tewari D, Gaur M, Yadav AB, Swaroop S, Bechelany M, et al. Review on nanoparticles and nanostructured materials: Bioimaging, biosensing, drug delivery, tissue engineering, antimicrobial, and agro-food applications. Nanomaterials (Basel). 2022;12(3):457. doi: 10.3390/nano12030457.

24. Silva DF, Melo ALP, Uchôa AFC, Pereira GMA, Alves AEF, Vasconcellos MC, et al. Biomedical approach of nanotechnology and biological risks: A mini-review. Int J Mol Sci. 2023;24(23):16719. doi: 10.3390/ijms242316719.
25. Windsor R, Cinelli M, Coles SR. Comparison of tools for the sustainability assessment of nanomaterials. Curr Opin Green Sustain Chem. 2018;12:69–75. doi: 10.1016/j.cogsc.2018.06.010.
26. Gatoo MA, Naseem S, Arfat MY, Dar AM, et al. Physicochemical properties of nanomaterials: Implications in associated toxic manifestations. Biomed Res Int. 2014;2014:498420. doi: 10.1155/2014/498420.
27. Duan H. Synthesis, integration, and characterisation of functional inorganic nanomaterials. 2009. Available from: https://web.wpi.edu/.
28. Mbah GN. Three-dimensional scaffolds of graphene, carbon nanotubes, and transition-metal oxides for applications in electronics, sensors, and energy storage. Science and Engineering of Materials. 2015.
29. Linkov I, Steevens J, Adlakha-Hutcheon G, Bennett E, Chappell M, Colvin V, et al. Emerging methods and tools for environmental risk assessment, decision-making, and policy for nanomaterials: Summary of NATO Advanced Research Workshop. J Nanopart Res. 2013;11(3):513–527. doi: 10.1007/s11051-008-9514-9.

 The convergence of chemical engineering and nanotechnology has created revolutionary prospects in material design, catalysis, energy storage, and biomedical applications. This article examines the changing responsibilities of chemical engineers in the creation and development of functional nanomaterials – substances designed at the molecular or atomic level to exhibit specific characteristics and functions. The article discusses important synthesis methods such as sol–gel processing, chemical vapor deposition, and self-assembly. It also talks about how to combine computer modelling with process engineering ideas. To show how nanoscale advances can affect the actual world, the authors look at how they can be used in medicine delivery systems, nano-catalysts, and next-generation batteries. There are additional problems with scalability, reproducibility, and environmental safety. This shows how important chemical engineers are in connecting basic research with large-scale production. Chemical engineers are in a unique position to lead the creation and use of nanomaterials that are both useful and environmentally friendly, as the need for precision-engineered materials develops.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Smith DK. Synthesis and characterisation of carbon nanotubes, gold nanorods, silica-coated nanocrystals, and binary nanocrystal superlattices. 2009.
2. Ariga K, Abe H, Ji Q, lvov YM. Halloysite and related mesoporous carriers for advanced catalysis and drug delivery. In: Functional Polymer Composites with Nanoclays. 2017. pp. 207–222. doi: 10.1039/9781782626725-00207.
3. Manning JRH, Brambila C, Rishi K, Beaucage G, Davies G-L, Patwardhan SV. Quality-by-design approach to process intensification of bioinspired silica synthesis. ACS Sustainable Chem Eng. 2024;12(12):4900–4911. doi: 10.1021/acssuschemeng.3c07624.
4. Bondi RJ. First-principles atomistic modelling for property prediction in silicon-based materials. 2011.
5. Lee Y. Electronic structure and quantum conductance of nanostructures. PhD thesis. Massachusetts Institute of Technology; 2006.
6. Wen C, Liu Y, Tao F. Bringing together surface science, nanoscience, and catalysis. Pure Appl Chem. 2010;83(1):243–252. doi: 10.1351/PAC-CON-10-11-04.
7. Yu X. Assembly of surface engineered nanoparticles for functional materials. PhD dissertation, University of Massachusetts; 2013. doi: 10.7275/cb61-mm94.
8. Solis EOP. Controlled formation of nanostructures with desired geometries: Robust dynamic paths to robust desired structures. 2009.
9. Ortiz de Zárate D, García-Meca C, Pinilla-Cienfuegos E, Ayúcar JA, Griol A, Bellières L, et al. Green and sustainable manufacture of ultrapure engineered nanomaterials. Nanomaterials (Basel). 2020;10(3):466. doi: 10.3390/nano10030466.
10. Marro N, Suo R, Naden AB, Kay ER. Constitutionally selective dynamic covalent nanoparticle assembly. J Am Chem Soc. 2022;144(31):14310–14321. doi: 10.1021/jacs.2c05446.
11. Marro N, della Sala F, Kay ER. Programmable dynamic covalent nanoparticle building blocks with complementary reactivity. Chem Sci. 2019;11(2):372–383. doi: 10.1039/c9sc04195h.
12. Gerbaud V, Joulia X. Molecular modelling for physical property prediction. In: Puigjaner L, Heyen G, editors. Computer Aided Process and Product Engineering. 2006. doi: 10.1002/9783527619856.ch4.
13. Stampfl KC, Reuter M, Scheffler M. Ab initio atomistic thermodynamics and statistical mechanics of surface properties and functions. In: Handbook of Materials Modeling. 2005. pp. 149–194. doi: 10.1007/978-1-4020-3286-8_10.
14. Valavala PK. Multiscale constitutive modelling of polymer materials. In: ASME International Mechanical Engineering Congress and Exposition. 2008. doi: 10.37099/mtu.dc.etds/417.
15. Kalweit NM, Shapiro E, Asproulis Drikakis D. Mesoscale flow and heat transfer modelling and its application to liquid and gas flows. J Nanophotonics. 2009;3(031960):1–15. doi: 10.1117/1.3269638.
16. Williamson EM, Brutchey RL. Using data-driven learning to predict and control the outcomes of inorganic materials synthesis. Inorg Chem. 2023;62(40):16251–16262. doi: 10.1021/acs.inorgchem.3c02697.
17. Moosavi SM, Jablonka KM, Smit B. The role of machine learning in the understanding and design of materials. J Am Chem Soc. 2020;142(48):20273–20287. doi: 10.1021/jacs.0c09105.
18. Kim JK. Novel materials for storing and converting energy in a sustainable way. Materials. 2020;13(11):2475. doi: 10.3390/ma13112475
19. Kim S. Engineering the morphology & interface of nano-sized metal oxides for highly efficient energy devices. In: New Frontiers in Materials Science. 2019. pp. 159–185. doi: 10.1002/9781394314935.ch9.
20. Mowbray DJ, García-Lastra JM, Larraza Arocena I, Rubio Á, Thygesen KS, Jacobsen KW. Computational design of chemical nanosensors: Transition metal doped single-walled carbon nanotubes. Mat Sci. 2011. doi: 10.48550/arXiv.1112.1052.
21. Koen KA. Sub-diffraction limited morphology characterisation in single noble metal nanoparticles and single conjugated polymer chains using optical microscopy techniques. 2017.
22. Mabrouk M, Das DB, Salem ZA, Beherei HH. Nanomaterials for biomedical applications: Production, characterisations, recent trends, and challenges. Molecules. 2021;26(4):1077. doi: 10.3390/molecules26041077.
23. Harish V, Tewari D, Gaur M, Yadav AB, Swaroop S, Bechelany M, et al. Review on nanoparticles and nanostructured materials: Bioimaging, biosensing, drug delivery, tissue engineering, antimicrobial, and agro-food applications. Nanomaterials (Basel). 2022;12(3):457. doi: 10.3390/nano12030457.

24. Silva DF, Melo ALP, Uchôa AFC, Pereira GMA, Alves AEF, Vasconcellos MC, et al. Biomedical approach of nanotechnology and biological risks: A mini-review. Int J Mol Sci. 2023;24(23):16719. doi: 10.3390/ijms242316719.
25. Windsor R, Cinelli M, Coles SR. Comparison of tools for the sustainability assessment of nanomaterials. Curr Opin Green Sustain Chem. 2018;12:69–75. doi: 10.1016/j.cogsc.2018.06.010.
26. Gatoo MA, Naseem S, Arfat MY, Dar AM, et al. Physicochemical properties of nanomaterials: Implications in associated toxic manifestations. Biomed Res Int. 2014;2014:498420. doi: 10.1155/2014/498420.
27. Duan H. Synthesis, integration, and characterisation of functional inorganic nanomaterials. 2009. Available from: https://web.wpi.edu/.
28. Mbah GN. Three-dimensional scaffolds of graphene, carbon nanotubes, and transition-metal oxides for applications in electronics, sensors, and energy storage. Science and Engineering of Materials. 2015.
29. Linkov I, Steevens J, Adlakha-Hutcheon G, Bennett E, Chappell M, Colvin V, et al. Emerging methods and tools for environmental risk assessment, decision-making, and policy for nanomaterials: Summary of NATO Advanced Research Workshop. J Nanopart Res. 2013;11(3):513–527. doi: 10.1007/s11051-008-9514-9.