Research Article
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Consumer perceptions of food safety of fried mussel: Multiple correspondence analysis

Year 2020, Volume: 6 Issue: 1, 9 - 19, 01.01.2020
https://doi.org/10.3153/FH20002

Abstract

The
conscious society has begun to be more selective about food and the interest in
traditional food has increased. Ready to eat foods are sold even on traditional
food streets and food safety has been questioned. In the scope of the study,
food safety of the fried mussel consumed is investigated. This study aims to
evaluate food safety perceptions of fried mussel consumers through a survey
conducted in Sinop which is a province of Turkey. Data were collected through a
face-to-face survey and 234 respondents joined our research. Multiple
correspondence analysis methods were selected to find out the food safety
perception of customers.



As
a result of research, it was determined that of respondents under the age of 30
don’t have knowledge about food safety, but respondents over the age of 30 have
knowledge about food safety. Also, the respondents in the 45+ age group think
that fried mussel is healthy, while the 30-44 age group clearly think that they
are not healthy. Overall respondents have different views of different sea
products consumption, sales locations, hygienic conditions, and food safety.

Supporting Institution

This research has been supported by Sinop University Scientific Research Projects Coordination Unit.

Project Number

TOY 1901-16-44, 2016

References

  • Abdi, H., Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of Measurement and Statistics, 651-657.
  • Alfiero, S. Giudice, A.L., Bonadonna, A. (2017). Street Food and İnnovation: the food truck phenomenon. British Food Journal, 119(11), 2462-2476. https://doi.org/10.1108/BFJ-03-2017-0179
  • Benze'cri, J.P. (1969). Statistical analysis as a tool to make patterns emerge from data. In: Watanabe, S. (Ed.) Methodologies of Pattern Recognition (pp. 35-74). Academic Press, New York. https://doi.org/10.1016/B978-1-4832-3093-1.50009-2
  • Benze'cri, J.P. (1992). Correspondence analysis handbook. CRC Press, Pages 1-8, ISBN: 9780824784379.082478437
  • Bindu, J., Srinivasa- Gopal, T.K., Unnikrishnan -Nair, T.S. (2004). Ready‐to‐eat mussel meat processed in retort pouches for the retail and export market. Packaging Technology and Science, 17(3), 113-117. https://doi.org/10.1002/pts.637
  • Bindu, J, Ravishankar C.N, Srinivasa- Gopal, T.K. (2007). Shelf life evaluation of a ready-to-eat black clam (Villorita cyprinoides) product in indigenous retort pouches. Journal of Food Engineering, 78(3), 995-1000. https://doi.org/10.1016/j.jfoodeng.2005.12.040
  • Bindu, J., Mallick, A.K., Gopal, T.K.S. (2014). Thermal processing of fishery products in flexible and rigid containers. Fishery Technology, 51, 137-148.
  • Clausen, S.E. (1998). Applied Corrispondence Analysis. Sage, London, Pages 37-39, ISBN: 9780761911159 https://doi.org/10.4135/9781412983426
  • FAO (2011). Street foods: the way forward for better food safety and nutrition. Global forum on Food Security and Nutrition. Summary discussion no. 73. From 26 September to 21 October 2011. http://www.fao.org/fsnforum/sites/default/files/files/73_street_foods/summary_73_street_food_en.pdf (accessed date: 02.06.2018).
  • Greenacre, M.J. (1988). Correspondence analysis of multivariate categorical data by weighted least-squares. Biometrika, 75, 457-467. https://doi.org/10.1093/biomet/75.3.457
  • Greenacre, M. (2017). Correspondence analysis in practice. CRC press, Pages 137;241, ISBN: 9781315369983 https://doi.org/10.1201/9781315369983
  • Greenacre, M.J., Blasius, J. (1994). Correspondence Analysis in The Social Sciences, London, Academic Press, Pages 30-50, ISBN: 9780121045708
  • Greenacre, M., Blasius, J. (2006). Multiple correspondence analysis and related methods. Chapman and Hall/CRC, Pages 41-45, ISBN: 9780429141966 https://doi.org/10.1201/9781420011319
  • Gülse-Bal, H.S. Göktolga, Z.G., Karkacıer, O. (2006). The examination of consciousness level of consumers abaout food safety (A case of Tokat province). Tarım Ekonomisi Dergisi, 12(1), 9-18.
  • Hill, M.O. (1974). Correspondence analysis: A neglected multivariate method. Applied Statistics, 23(3), 340-54. https://doi.org/10.2307/2347127
  • Husson, F., Josse, J. (2014). Visualization and verbalization of data. Multiple Correspondence Analysis. IJ Blasius, and M. Greenacre, eds. Chapman & Hall/CRC, UK, Pages 165-219, ISBN 9781466589803 https://doi.org/10.1201/b16741
  • Husson, F., Josse, J., Le, S., Mazet, J., Husson, M.F. (2018) Package 'FactoMineR'. https://cran.r-project.org/web/packages/FactoMineR/FactoMineR.pdf (accessed date: 01.02.2018).
  • Kocatepe, D., Taşkaya, G., Turan H., Kaya, Y. (2016). Microbiological investigation of wild. cultivated mussels (Mytilus galloprovincialis L.1819) and stuffed mussels in Sinop-Turkey. Ukranian Food Journal, 5(2), 299-305. https://doi.org/10.24263/2304-974X-2016-5-2-9
  • Kocatepe, D., Tırıl, A. (2015). Healthy nutrition and traditionals foods. Journal of Tourism and Gastronomy Studies, 3(1), 55-63.
  • Kocatepe, D., Keskin, İ., Kaya, Y. (2019). The Effect of Frying-the Chemical, microbiological, and acrylamide composition of mussels as a street food. Journal of Aquatic Food Product Technology, 28(1), 117-128. https://doi.org/10.1080/10498850.2018.1563260
  • Le Roux, B., Rouanet, H. (2010). Multiple correspondence analysis (Vol. 07- 163). Sage. Los Angeles, London, New Delhi Pages 34-61, ISBN: 9781412968973 https://doi.org/10.4135/9781412993906
  • Lebart, L., Morineau, A., Warwick, K. (1984). Multivariate Descriptive Statistical Analysis. Correspondence Analysis and Related Techniques for Large Matrices. Wiley, New York, Pages: xvi + 231 https://doi.org/10.1002/asm.3150050207
  • Marras, S., Companion, M., de Cassia Vieira Cardoso, R. (2014). Street Food Culture, Economy, Health and Governance. Routledge, p. 275, ISBN: 978-1-13-802368-0
  • Nishisato, S. (1980). Analysis of Categorical Data: Dual Scaling and its Applications. University of Toronto Press, Toronto Pages 74-97, ISBN: 978-1-4875-7890-9 https://doi.org/10.3138/9781487577995
  • Ohiokpehai, O. (2003). Nutritional aspects of street foods in Botswana. Pakistan Journal of Nutrition, 2(2), 76-81. https://doi.org/10.3923/pjn.2003.76.81
  • Şahin, A., Meral, Y. (2012). Turkey's geographical marking and local products. Türk Bilimsel Derlemeler Dergisi, 5(2), 88-92.
  • Steyn, N.P., Mchiza, Z., Hill, J., Davids, Y.D., Venter, I., Hinrichsen, E., Opperman, M., Rumbelow, J., Jacobs, P. (2013). Nutritional contribution of Street foods to the diet of people in developing countries: a systematic review. Public Health Nutrition, 19(06), 1-12.
  • Taşdan, K., Albayrak, M., Gürer, B., Özer, O.O., Albayrak, K., Güldal, H.T. (2014). Geleneksel gıdalarda tüketicilerin gıda güvenliği algısı: Ankara ili örneği. Davraz Kongresi. Sözlü Bildiri. Http://yucita.org/uploads/yayinlar/diger/makale/Geleneksel_Gdalarda_Tuketicilerin_Gda_Guvenlii_Algs.pdf (accesed date: 17.05.2018).
  • Turan, H., Altan, C.O., Kocatepe, D., Ceylan, A. (2015). Quality of lakerda (dry salted bonito) madewith different technics in Sinop region. Ukranian Journal of Food Science, 3(1), 6-12.
  • Weller, S.C., Romney, A.K. (1990). Metric Scaling. Correspondence Analysis. Sage, London, Pages 2-7, ISBN: 9780803937505 https://doi.org/10.4135/9781412985048
  • Young, F.W. (1981). Quantitative analysis of qualitative data. Psychometrika, 46, 357-387. https://doi.org/10.1007/BF02293796
Year 2020, Volume: 6 Issue: 1, 9 - 19, 01.01.2020
https://doi.org/10.3153/FH20002

Abstract

Project Number

TOY 1901-16-44, 2016

References

  • Abdi, H., Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of Measurement and Statistics, 651-657.
  • Alfiero, S. Giudice, A.L., Bonadonna, A. (2017). Street Food and İnnovation: the food truck phenomenon. British Food Journal, 119(11), 2462-2476. https://doi.org/10.1108/BFJ-03-2017-0179
  • Benze'cri, J.P. (1969). Statistical analysis as a tool to make patterns emerge from data. In: Watanabe, S. (Ed.) Methodologies of Pattern Recognition (pp. 35-74). Academic Press, New York. https://doi.org/10.1016/B978-1-4832-3093-1.50009-2
  • Benze'cri, J.P. (1992). Correspondence analysis handbook. CRC Press, Pages 1-8, ISBN: 9780824784379.082478437
  • Bindu, J., Srinivasa- Gopal, T.K., Unnikrishnan -Nair, T.S. (2004). Ready‐to‐eat mussel meat processed in retort pouches for the retail and export market. Packaging Technology and Science, 17(3), 113-117. https://doi.org/10.1002/pts.637
  • Bindu, J, Ravishankar C.N, Srinivasa- Gopal, T.K. (2007). Shelf life evaluation of a ready-to-eat black clam (Villorita cyprinoides) product in indigenous retort pouches. Journal of Food Engineering, 78(3), 995-1000. https://doi.org/10.1016/j.jfoodeng.2005.12.040
  • Bindu, J., Mallick, A.K., Gopal, T.K.S. (2014). Thermal processing of fishery products in flexible and rigid containers. Fishery Technology, 51, 137-148.
  • Clausen, S.E. (1998). Applied Corrispondence Analysis. Sage, London, Pages 37-39, ISBN: 9780761911159 https://doi.org/10.4135/9781412983426
  • FAO (2011). Street foods: the way forward for better food safety and nutrition. Global forum on Food Security and Nutrition. Summary discussion no. 73. From 26 September to 21 October 2011. http://www.fao.org/fsnforum/sites/default/files/files/73_street_foods/summary_73_street_food_en.pdf (accessed date: 02.06.2018).
  • Greenacre, M.J. (1988). Correspondence analysis of multivariate categorical data by weighted least-squares. Biometrika, 75, 457-467. https://doi.org/10.1093/biomet/75.3.457
  • Greenacre, M. (2017). Correspondence analysis in practice. CRC press, Pages 137;241, ISBN: 9781315369983 https://doi.org/10.1201/9781315369983
  • Greenacre, M.J., Blasius, J. (1994). Correspondence Analysis in The Social Sciences, London, Academic Press, Pages 30-50, ISBN: 9780121045708
  • Greenacre, M., Blasius, J. (2006). Multiple correspondence analysis and related methods. Chapman and Hall/CRC, Pages 41-45, ISBN: 9780429141966 https://doi.org/10.1201/9781420011319
  • Gülse-Bal, H.S. Göktolga, Z.G., Karkacıer, O. (2006). The examination of consciousness level of consumers abaout food safety (A case of Tokat province). Tarım Ekonomisi Dergisi, 12(1), 9-18.
  • Hill, M.O. (1974). Correspondence analysis: A neglected multivariate method. Applied Statistics, 23(3), 340-54. https://doi.org/10.2307/2347127
  • Husson, F., Josse, J. (2014). Visualization and verbalization of data. Multiple Correspondence Analysis. IJ Blasius, and M. Greenacre, eds. Chapman & Hall/CRC, UK, Pages 165-219, ISBN 9781466589803 https://doi.org/10.1201/b16741
  • Husson, F., Josse, J., Le, S., Mazet, J., Husson, M.F. (2018) Package 'FactoMineR'. https://cran.r-project.org/web/packages/FactoMineR/FactoMineR.pdf (accessed date: 01.02.2018).
  • Kocatepe, D., Taşkaya, G., Turan H., Kaya, Y. (2016). Microbiological investigation of wild. cultivated mussels (Mytilus galloprovincialis L.1819) and stuffed mussels in Sinop-Turkey. Ukranian Food Journal, 5(2), 299-305. https://doi.org/10.24263/2304-974X-2016-5-2-9
  • Kocatepe, D., Tırıl, A. (2015). Healthy nutrition and traditionals foods. Journal of Tourism and Gastronomy Studies, 3(1), 55-63.
  • Kocatepe, D., Keskin, İ., Kaya, Y. (2019). The Effect of Frying-the Chemical, microbiological, and acrylamide composition of mussels as a street food. Journal of Aquatic Food Product Technology, 28(1), 117-128. https://doi.org/10.1080/10498850.2018.1563260
  • Le Roux, B., Rouanet, H. (2010). Multiple correspondence analysis (Vol. 07- 163). Sage. Los Angeles, London, New Delhi Pages 34-61, ISBN: 9781412968973 https://doi.org/10.4135/9781412993906
  • Lebart, L., Morineau, A., Warwick, K. (1984). Multivariate Descriptive Statistical Analysis. Correspondence Analysis and Related Techniques for Large Matrices. Wiley, New York, Pages: xvi + 231 https://doi.org/10.1002/asm.3150050207
  • Marras, S., Companion, M., de Cassia Vieira Cardoso, R. (2014). Street Food Culture, Economy, Health and Governance. Routledge, p. 275, ISBN: 978-1-13-802368-0
  • Nishisato, S. (1980). Analysis of Categorical Data: Dual Scaling and its Applications. University of Toronto Press, Toronto Pages 74-97, ISBN: 978-1-4875-7890-9 https://doi.org/10.3138/9781487577995
  • Ohiokpehai, O. (2003). Nutritional aspects of street foods in Botswana. Pakistan Journal of Nutrition, 2(2), 76-81. https://doi.org/10.3923/pjn.2003.76.81
  • Şahin, A., Meral, Y. (2012). Turkey's geographical marking and local products. Türk Bilimsel Derlemeler Dergisi, 5(2), 88-92.
  • Steyn, N.P., Mchiza, Z., Hill, J., Davids, Y.D., Venter, I., Hinrichsen, E., Opperman, M., Rumbelow, J., Jacobs, P. (2013). Nutritional contribution of Street foods to the diet of people in developing countries: a systematic review. Public Health Nutrition, 19(06), 1-12.
  • Taşdan, K., Albayrak, M., Gürer, B., Özer, O.O., Albayrak, K., Güldal, H.T. (2014). Geleneksel gıdalarda tüketicilerin gıda güvenliği algısı: Ankara ili örneği. Davraz Kongresi. Sözlü Bildiri. Http://yucita.org/uploads/yayinlar/diger/makale/Geleneksel_Gdalarda_Tuketicilerin_Gda_Guvenlii_Algs.pdf (accesed date: 17.05.2018).
  • Turan, H., Altan, C.O., Kocatepe, D., Ceylan, A. (2015). Quality of lakerda (dry salted bonito) madewith different technics in Sinop region. Ukranian Journal of Food Science, 3(1), 6-12.
  • Weller, S.C., Romney, A.K. (1990). Metric Scaling. Correspondence Analysis. Sage, London, Pages 2-7, ISBN: 9780803937505 https://doi.org/10.4135/9781412985048
  • Young, F.W. (1981). Quantitative analysis of qualitative data. Psychometrika, 46, 357-387. https://doi.org/10.1007/BF02293796
There are 31 citations in total.

Details

Primary Language English
Subjects Food Engineering
Journal Section Research Articles
Authors

Demet Kocatepe 0000-0002-9234-1907

B. Barış Alkan 0000-0002-5851-7833

İrfan Keskin 0000-0003-4503-7299

Yalçın Kaya 0000-0002-1259-2336

Project Number TOY 1901-16-44, 2016
Publication Date January 1, 2020
Submission Date April 25, 2019
Published in Issue Year 2020Volume: 6 Issue: 1

Cite

APA Kocatepe, D., Alkan, B. B., Keskin, İ., Kaya, Y. (2020). Consumer perceptions of food safety of fried mussel: Multiple correspondence analysis. Food and Health, 6(1), 9-19. https://doi.org/10.3153/FH20002

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