Emerging scientific directions in plasma
technology for food decontamination
Mario Coccia National Research Council
of Italy
CNR-CERIS
Institute for Economic
Research on Firm and Growth
Collegio Carlo Alberto -
via Real Collegio, n. 30 10024 Moncalieri (Torino) – ITALY
Georgia Institute of Technology School of Public
Policy 685
Cherry Street, N.W. Atlanta, Georgia, US 30332-0345
Tel.: +39 011 68
24 925;
fax : +39 011 68
24 966; email:
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Ugo Finardi National Research Council
of Italy
CNR-CERIS
Institute for Economic
Research on Firm and Growth Collegio Carlo Alberto -
via Real Collegio, n. 30 10024 Moncalieri (Torino) – ITALY University of Torino
Department of
Chemistry and NIS-Centre of Excellence
via P. Giuria 7, 10125 Torino
Tel.: +39 011 68
24 923;
fax : +39 011 68
24 966; email:
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Abstract:The purpose of this research is to
analyze the evolutionary growth of knowledge in non-thermal plasma technologies
applied for food decontamination in order to pinpoint emerging scientific
directions. The sample uses 22,836 articles and 2,282 patents from Scopus/SciVerse
database in order to calculate the rate of scientific and technological growth
that may detect emerging technological trajectories and applications. Results
show that emerging plasma technology for food decontamination are mainly cold
atmospheric pressure plasma and gas plasma. Moreover, plasma seems to be a
promising technology for decontamination of fresh food from bacteria
Staphylococcus Aureus, Listeria Monocytogenes and Pseudomonas Aeruginosa,
respectively. However, key limitations are the relatively early state of
technology development, and the largely unexplored impacts of non thermal
plasma on nutritional qualities of treated foods. Nevertheless, this technology
shows promise for bio-decontamination and is the subject of active research to
enhance efficacy and open up crucial opportunities to industrial and social
safety.
Mario Coccia thanks
the colleagues of the Georgia Institute of Technology for scientific support.
In addition, he gratefully acknowledges financial support from the CNR -
National Research Council of Italy for visiting at Yale University and Georgia
Institute of Technology where this research has been developed. Ugo Finardi
acknowledges the help and spur of Proff. S. Coluccia and L. Battezzati
(University of Torino, Italy). We also thank Ceris-CNR staff and Prof. S. Rolfo
of CERIS-CNR for supporting this research field. We thank an anonymous referee
for detailed comments and suggestions. The usual disclaimer holds, however.
The authors in parentheses
(MC: Mario Coccia and UF: Ugo Finardi) have made substantial contributions to
the following tasks of research: Conception (MC); Design (MC and UF);
theoretical framework (MC & UF); acquisition of data (UF); modelling and
analysis of data (MC); interpretation of data (MC and UF); drafting of the
manuscript (MC and UF); critical revision of the manuscript for important
intellectual content (MC); statistical analysis (MC), supervision (MC). The
usual disclaimer holds, however.