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Microbiological Risk Assessment and Bioprocess Engineering

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Europe 2020 strategy (European Commission, 2010) calls a bioeconomy as a key element for smart and green growth in Europe. The development of a greener and more resource-efficient economy gives rise to new technologies and materials, which in turn may result in increased exposure to biological agents or combinations of different potentially harmful factors. For example, the expanding recycling industry employs an increasing number of workers which have to face various health problems (pulmonary, gastrointestinal and skin problems) as a result of exposure to biological agents such as airborne microorganisms. However, specific numbers for occupational diseases in this sector are still lacking. There are various workplaces and professional activities especially from the green industry for which exposure to microbiological agents occur unexpectedly and in an uncontrolled way. The issue of uncontrolled microbial exposure there is for example in waste treatment and for retrofitting activities, both growing sectors of employment in a greening society. As a result of the problem in the green industrial sector, there is a need to develop tools for risk assessment and prevention measures. In order to be able to develop suitable risk management strategies, a further development of detection and identification methods for biological agents is needed to cover the whole spectrum of microorganisms. the present paper focuses on the microbiological risk assessment in the context of the development of new and safe industrial products and processes of green industry (bioindustry and bioprocessing).
Rocznik
Strony
233--239
Opis fizyczny
Bibliogr. 20 poz., fig.
Twórcy
autor
  • Silesian Technical University, Poland
autor
  • Guangdong Technion-Israel Institute of Technology, China
autor
  • School of Ecological and Environmental Sciences, East China Normal University, China
Bibliografia
  • 1. Buchanan, R.L., Smith, J.L. and Long, W. (2000). Microbial risk assessment: dose-response relations and risk characterization. International Journal of Food Microbiology, 58 (1), pp. 159–172.
  • 2. CAC (Codex Alimentarius Commission) (1999). Principles and guidelines for the conduct of microbiological risk assessment. Document CAC/GL-30. FAO, Rome.
  • 3. CCFRA (2007). Industrial microbiological risk assessment: A practical guide (second edition). CCFRA Guideline 28.
  • 4. CCPS (2011). Guidelines for process safety in bioprocess manufacturing facilities.
  • 5. EU- OSHA (European Agency for Safety and Health at Work) (2010). ESENER — managing safety and health at work. Available at: http://osha.europa.eu/en/publications/reports/esener1_osh_management
  • 6. EU-OSH Priorities for occupational safety and health research in Europe: 2013-2020 (2013). Publications Office of the European Union. ISBN: 978-92-9240-068-2 doi: 10.2802/25457.
  • 7. EU-OSHA (European Agency for Safety and Health at Work) (2011). Foresight of new and emerging risks to occupational safety and health associated with new technologies in green jobs by 2020, phase II — key technologies. Available at: https://osha.europa.eu/en/publications/reports/foresight-green-jobs-key-technologies
  • 8. European Commission (2010). EUROPE 2020. A strategy for smart, sustainable and inclusive growth. Brussels COM(2010).
  • 9. European Parliament (2000). Directive 2000/54/EC.
  • 10. Gembalska-Kwiecień, A. (2017). Development of an Innovative Methodology Supporting Project Risk Management in the Manufacturing Company of the Automotive Industry. In: Proceedings of the 6th International Conference on Operations Research and Enterprise Systems. ICORES 2017, Porto, Portugal vol. 1, pp. 265-271.
  • 11. Havelaar, A.H., Evers, E.G. and Nauta, M.J. (2008). Challenges of quantitative microbial risk assessment at EU level. Trends in Food Science and Technology, 19, pp. S22–S29.
  • 12. Hebisch, R. and Linsel, G. (2012). Workers’ exposure to hazardous substances and biological agents in recycling enterprises. Gefahrstoffe — Reinhaltung der Luft, 72 (4), pp. 163–169.
  • 13. Midor, K. and Jąderko, K. (2017). Analysis of the energy potential of municipal solid waste for the thermal treatment technology development in Poland. International Conference on Advances in Energy Systems and Environmental Engineering - ASEE17, 2–5 July 2017 DOI: 10.1051/e3sconf/20172200116.
  • 14. Moreno, V.C., Giacomini, E. and Cozzani, V. (2016). Identification of major accident hazards in industrial biological processes. Chemical Engineering Transactions, 48 (3), pp. 679-684.
  • 15. Notermans, S. and Barendsz, A. W. (2002). The evaluation of microbiological risk assessment. In: Microbiological risk assessment in food processing. Brown M., Stringer M. (eds). CRC Press LLC Woodhead Publishing Limited, Cambridge England, pp. 5-43. ISBN: 1855735857.
  • 16. Pietrangeli, B. (2008). Biological risks in workplaces: Priorities for OSH research for risk assessment. Prevention Today, 4 (1), pp. 57–68.
  • 17. Reinert, D., Flaspöler, E., Hauke, A. and Brun, E. (2007). Identification of emerging occupational safety and health risks. Safety Science Monitor, 11 (3), pp. 16-24.
  • 18. Wandzich, D.E. and Płaza, G.A. (2017). New and emerging risks associated with „Green” workplaces. Workplace Health & Safety 65 (10), pp. 493-500.
  • 19. Wolniak, R. and Skotnicka-Zasadzień, B. (2014). The use of value stream mapping to introduction of organizational innovation in industry. Metalurgija, 53 (4), pp. 709-712.
  • 20. Wolniak, R., Skotnicka-Zasadzień, B. and Zasadzień, M. (2017). Application of the theory of constraints for continuous improvement of a production process - case study,3rd International Conference on Social, Education and Management Engineering (SEME 2017), Shanghai, pp. 169-173.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f12e5928-6511-45be-8b3a-402c9560b598
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