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Nanomaterials
Volume 15
Issue 18
10.3390/nano15181395
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Review

Review of Current Achievements in Dendrimers and Nanomaterials for Potential Detection and Remediation of Chemical, Biological, Radiological and Nuclear Contamination —Integration with Artificial Intelligence and Remote Sensing Technologies

by
Agnieszka Gonciarz
1,*,
Robert Pich
1,
Krzysztof A. Bogdanowicz
2,
Witalis Pellowski
1,
Jacek Miedziak
1,
Sebastian Lalik
3,
Marcin Szczepaniak
1,
Monika Marzec
3 and
Agnieszka Iwan
1,*
1
Faculty of Security and Safety Research, General Tadeusz Kosciuszko Military University of Land Forces, Czajkowskiego 109, 51-147 Wrocław, Poland
2
Military Institute of Engineer Technology, Obornicka 136, 50-961 Wrocław, Poland
3
Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland
*
Authors to whom correspondence should be addressed.
Nanomaterials 2025, 15(18), 1395; https://doi.org/10.3390/nano15181395
Submission received: 23 July 2025 / Revised: 29 August 2025 / Accepted: 8 September 2025 / Published: 10 September 2025
(This article belongs to the Special Issue Advanced Nanomaterials for Bioimaging: 2nd Edition)
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Abstract

Current scientific and technological developments indicate that the need for dendrimers and nanomaterials should be taken into account in aspects such as the detection and remediation of chemical, biological, radiological and nuclear (CBRN) contamination. To evaluate the benefits of dendrimers in CBRN contamination, different characterization methods, toxicological evaluation, and recyclability must be used. The aim of this article is to systematize knowledge about selected nanomaterials and dendrimers as well as chemical, biological, radiological and nuclear (CBRN) hazards in accordance with the principles of green chemistry, engineering, technology and environmental safety. So far, many review articles on dendrimers and nanomaterials have focused on biomedical applications or environmental remediation. In this article, we discuss this topic in more detail, especially in relation to the integration of dendrimers with artificial intelligence and remote sensing technologies. We highlight interdisciplinary synergies—artificial intelligence for smarter design and remote sensing for deployment—that could bridge the gap between nanoscale innovation and real CBRN countermeasures.
Keywords: nanomaterials; dendrimers; CBRN; safety engineering nanomaterials; dendrimers; CBRN; safety engineering
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MDPI and ACS Style

Gonciarz, A.; Pich, R.; Bogdanowicz, K.A.; Pellowski, W.; Miedziak, J.; Lalik, S.; Szczepaniak, M.; Marzec, M.; Iwan, A. Review of Current Achievements in Dendrimers and Nanomaterials for Potential Detection and Remediation of Chemical, Biological, Radiological and Nuclear Contamination —Integration with Artificial Intelligence and Remote Sensing Technologies. Nanomaterials 2025, 15, 1395. https://doi.org/10.3390/nano15181395

AMA Style

Gonciarz A, Pich R, Bogdanowicz KA, Pellowski W, Miedziak J, Lalik S, Szczepaniak M, Marzec M, Iwan A. Review of Current Achievements in Dendrimers and Nanomaterials for Potential Detection and Remediation of Chemical, Biological, Radiological and Nuclear Contamination —Integration with Artificial Intelligence and Remote Sensing Technologies. Nanomaterials. 2025; 15(18):1395. https://doi.org/10.3390/nano15181395

Chicago/Turabian Style

Gonciarz, Agnieszka, Robert Pich, Krzysztof A. Bogdanowicz, Witalis Pellowski, Jacek Miedziak, Sebastian Lalik, Marcin Szczepaniak, Monika Marzec, and Agnieszka Iwan. 2025. "Review of Current Achievements in Dendrimers and Nanomaterials for Potential Detection and Remediation of Chemical, Biological, Radiological and Nuclear Contamination —Integration with Artificial Intelligence and Remote Sensing Technologies" Nanomaterials 15, no. 18: 1395. https://doi.org/10.3390/nano15181395

APA Style

Gonciarz, A., Pich, R., Bogdanowicz, K. A., Pellowski, W., Miedziak, J., Lalik, S., Szczepaniak, M., Marzec, M., & Iwan, A. (2025). Review of Current Achievements in Dendrimers and Nanomaterials for Potential Detection and Remediation of Chemical, Biological, Radiological and Nuclear Contamination —Integration with Artificial Intelligence and Remote Sensing Technologies. Nanomaterials, 15(18), 1395. https://doi.org/10.3390/nano15181395

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