Special Issue "Nuclear Analytical Chemistry: State of Art and New Trends in Activation Analysis"
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 6519
Interests: phthalates; bisphenol-A; plasticizers; microplastics; environment; human health; endocrine disruptors
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Interests: standards of ionizing radiation; secondary standards of the activity of radionuclides; gamma spectroscopy; standards of neutron activity; instrumental neutron activation analysis; radionuclide metrology
Among the different analytical techniques daily involved in research laboratories or routine analysis, radioanalytical methods are still the most effective for a precise and accurate knowledge of the element content. In recent decades, analytical techniques such as neutron activation analysis (NAA), photon activation analysis (PAA) and charged particle activation analysis (CPAA) have increased their importance, and their use has expanded to different real applications ranging from environmental problems to engineering topics up to medical issues. Even if their application is limited by the high costs and the need to have advanced technology equipment, these techniques represent the most accurate and sensitive analytical method for analyzing and investigating any sample in any situation.
This Special Issue would like to gather the state-of-the-art around radioanalytical methods worldwide: new investigated targets, new studied and industrialized detectors, and new involved technology. Along with these goals, any new theories possibly developed will also be welcome. The Special Issue is oriented toward analytical chemists particularly involved in radiochemical studies but also analytical chemists who have never used these techniques as well as physics researchers, physicians, toxicologists or other researchers involved in nuclear activities.
Prof. Pasquale Avino
Dr. Andrea Petrucci
Manuscript Submission Information
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- nuclear analytical methods (NAA/PAA/CPAA)
- radiochemical methods
- gamma spectrometry
- standard materials
- monte carlo simulation