## 5 Discussion  
In this study, it was assumed that due to the growth of pollution, migrations, and climate change threatening biodiversity, the directions of innovations in the CBRN field would mainly concern environmental and health issues. Sustainable Development Goals related to these notions would be supported. This hypothesis was confirmed by computer-aided analyses of words and clusters, manual coding of the content created from 156 publications indexed in the Scopus database (2017-April 2022), and matching of the codes with the SDGs and indication of the most frequent SDGs. As the research was based on bibliometrics and text mining, which included the creation of clusters, word/portmanteau word frequency queries, and coding, it had numerous limitations. The main concern is the interpretation of research results. One researcher interpreted single words, portmanteau words, and clusters. On the one hand, it can be treated as a weakness of the study; on the other hand, the meaning of the extracted data was explicit, so the potential biases in the interpretation could not be significant. Regarding the interpretation and subjectivity, there was another issue--coding. One researcher also created the codes. However, many of them can be treated as equivalents of the words and clusters. In this way, any risk of misinterpretation is low. The same situation concerns matching of the SDG to the codes. Again, the topical analysis relied on the explicit semantic meaning of the data, which can be perceived as justification for the researcher's point of view. Finally, a limitation is the choice of database (Scopus) and keywords. Therefore, as a further endeavor, the research could be repeated with another database and a set of keywords closely related to innovations in CBRN-related topics. For instance, a more detailed analysis could involve the Web of Science database, which, as was stated before, provides a greater number of publications for analysis. The quantitative and qualitative data could then be compared. Moreover, due to the database limitation, a large number of publications on CBRN innovations from grey literature, such as websites of projects, agencies, companies, or the Google Scholar engine, were not taken into account. The topics covered issues such as radiation monitoring [88], radiological hazard detection and identification [89], chemical hazards detection, identification, and monitoring [18], a simple particle separation technology for speeding up nuclear waste cleanup [90], an international nuclear fusion research and engineering megaproject--International Thermonuclear Experimental Reactor (ITER) [91], and AI and interoperable simulation for pandemics and crisis management [92]. A final limitation lies in formal considerations in the field of nuclear weapons. For obvious reasons, there are no literature reports on this subject. All activities in this area are prohibited, and unlawful research in this field is kept in the strictest secrecy. Future research may concern the misuse of the CBRN innovations by non-state actors such as criminal organizations or terrorists. In the literature, there are examples of scenarios in which technology supports terrorist activities; for instance, stealing radiological material from a hospital and selling it via the Dark Web to target civilians using a drone [93]. Further, critical technologies for CBRN terrorism are considered drones (used to deliver a weapon of mass destruction), the Dark Web (obtaining dual-purpose materials or equipment), malware (for chemical, biological, radiological, or nuclear facility cyberattacks), synthetic biology (resurrecting viruses), and 3D printing (DIY proliferation has new prospects) [93]. Other authors indicate the IT technology, including artificial intelligence and robotics [94]. Regarding new biotechnologies, computational biology and bioinformatics can also be misused to develop pathogens with enhanced virulence, drug resistance, or improved stability to withstand harsh environmental conditions.