Are They Careful Enough? Testing Consumers’ Perception of Alternative Processing Technologies on the Quality of Organic Food
Abstract
:1. Introduction
- (a)
- preserve the nutritional and sensory quality of raw materials from organic farming by limiting the use of additives,
- (b)
- minimize the risks for consumer and worker health while promoting fair supply-chains, and
- (c)
- limit the impact on the environment by:
- -
- reducing the use of water and energy,
- -
- optimizing waste management, and
- -
- promoting recyclable/reusable packaging.”
2. Materials and Methods
2.1. Participants
2.2. Experimental Design
2.3. Procedure
2.4. Measures
2.5. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Method | Definition |
---|---|
Pasteurization | Uses the heating effect (below 100 °C) for preserving food products |
Ultra-high-temperature processing | Uses a high temperature (not less than 135 °C)/short time for preserving food products |
High-pressure processing | Uses the pressure at room temperature for preserving food products |
Pulsed electric field processing | Uses short electric pulses for preserving food products |
Microwave processing | Uses the microwave energy to generate heating for preserving food products |
Active packaging | Uses the packaging material inside of the packaging for preserving packaged food products |
Modified atmosphere packaging | Uses the protective atmosphere inside of the packaging for preserving packaged food products |
Edible-film coating | Uses thin layers of edible materials for preserving the food products |
Appendix B
Delta-Method | Unadjusted | |||
---|---|---|---|---|
Method | Contrast | Std. Err. | t | P > t |
edible vs. active | 0.0615385 | 3.654901 | 0.02 | 0.987 |
hpp vs. active | −3.076923 | 3.654901 | −0.84 | 0.4 |
map vs. active | 3.184615 | 3.654901 | 0.87 | 0.384 |
micro vs. active | −14.23077 | 3.654901 | −3.89 | 0 |
past vs. active | 1.692308 | 3.654901 | 0.46 | 0.643 |
pef vs. active | −9.892308 | 3.654901 | −2.71 | 0.007 |
uht vs. active | −1.138462 | 3.654901 | −0.31 | 0.756 |
hpp vs. edible | −3.138462 | 3.654901 | −0.86 | 0.391 |
map vs. edible | 3.123077 | 3.654901 | 0.85 | 0.393 |
micro vs. edible | −14.29231 | 3.654901 | −3.91 | 0 |
past vs. edible | 1.630769 | 3.654901 | 0.45 | 0.656 |
pef vs. edible | −9.953846 | 3.654901 | −2.72 | 0.007 |
uht vs. edible | −1.2 | 3.654901 | −0.33 | 0.743 |
map vs. hpp | 6.261538 | 3.654901 | 1.71 | 0.087 |
micro vs. hpp | −11.15385 | 3.654901 | −3.05 | 0.002 |
past vs. hpp | 4.769231 | 3.654901 | 1.3 | 0.192 |
pef vs. hpp | −6.815385 | 3.654901 | −1.86 | 0.063 |
uht vs. hpp | 1.938462 | 3.654901 | 0.53 | 0.596 |
micro vs. map | −17.41538 | 3.654901 | −4.76 | 0 |
past vs. map | −1.492308 | 3.654901 | −0.41 | 0.683 |
pef vs. map | −13.07692 | 3.654901 | −3.58 | 0 |
uht vs. map | −4.323077 | 3.654901 | −1.18 | 0.237 |
past vs. micro | 15.92308 | 3.654901 | 4.36 | 0 |
pef vs. micro | 4.338462 | 3.654901 | 1.19 | 0.236 |
uht vs. micro | 13.09231 | 3.654901 | 3.58 | 0 |
pef vs. past | −11.58462 | 3.654901 | −3.17 | 0.002 |
uht vs. past | −2.830769 | 3.654901 | −0.77 | 0.439 |
uht vs. pef | 8.753846 | 3.654901 | 2.4 | 0.017 |
Delta-Method | Unadjusted | |||
---|---|---|---|---|
Method | Contrast | std. err. | t | P > t |
edible vs. active | 5.830769 | 3.654901 | 1.6 | 0.111 |
hpp vs. active | 4.276923 | 3.654901 | 1.17 | 0.242 |
map vs. active | 2.492308 | 3.654901 | 0.68 | 0.495 |
micro vs. active | −18.01538 | 3.654901 | −4.93 | 0 |
past vs. active | 3.661538 | 3.654901 | 1 | 0.317 |
pef vs. active | −6.061538 | 3.654901 | −1.66 | 0.098 |
uht vs. active | −3.2 | 3.654901 | −0.88 | 0.382 |
hpp vs. edible | −1.553846 | 3.654901 | −0.43 | 0.671 |
map vs. edible | −3.338462 | 3.654901 | −0.91 | 0.361 |
micro vs. edible | −23.84615 | 3.654901 | −6.52 | 0 |
past vs. edible | −2.169231 | 3.654901 | −0.59 | 0.553 |
pef vs. edible | −11.89231 | 3.654901 | −3.25 | 0.001 |
uht vs. edible | −9.030769 | 3.654901 | −2.47 | 0.014 |
map vs. hpp | −1.784615 | 3.654901 | −0.49 | 0.625 |
micro vs. hpp | −22.29231 | 3.654901 | −6.1 | 0 |
past vs. hpp | −0.6153846 | 3.654901 | −0.17 | 0.866 |
pef vs. hpp | −10.33846 | 3.654901 | −2.83 | 0.005 |
uht vs. hpp | −7.476923 | 3.654901 | −2.05 | 0.041 |
micro vs. map | −20.50769 | 3.654901 | −5.61 | 0 |
past vs. map | 1.169231 | 3.654901 | 0.32 | 0.749 |
pef vs. map | −8.553846 | 3.654901 | −2.34 | 0.019 |
uht vs. map | −5.692308 | 3.654901 | −1.56 | 0.12 |
past vs. micro | 21.67692 | 3.654901 | 5.93 | 0 |
pef vs. micro | 11.95385 | 3.654901 | 3.27 | 0.001 |
uht vs. micro | 14.81538 | 3.654901 | 4.05 | 0 |
pef vs. past | −9.723077 | 3.654901 | −2.66 | 0.008 |
uht vs. past | −2.830769 | 3.654901 | −0.77 | 0.439 |
uht vs. pef | 8.753846 | 3.654901 | 2.4 | 0.017 |
References
- Global Panel on Agriculture and Food Systems for Nutrition. Food Systems and Diets: Facing the Challenges of the 21st Century; Global Panel on Agriculture and Food Systems for Nutrition: London, UK, 2016. [Google Scholar]
- Strassner, C.; Cavoski, I.; Di Cagno, R.; Kahl, J.; Kesse-Guyot, E.; Lairon, D.; Lampkin, N.; Løes, A.K.; Matt, D.; Niggli, U.; et al. How the Organic Food System Supports Sustainable Diets and Translates These into Practice. Front. Nutr. 2015, 2, 19. [Google Scholar] [CrossRef] [Green Version]
- Kahl, J.; Alborzi, F.; Beck, A.; Bügel, S.; Busscher, N.; Geier, U.; Matt, D.; Meischner, T.; Paoletti, F.; Pehme, S.; et al. Organic food processing: A framework for concept, starting definitions and evaluation. J. Sci. Food Agric. 2014, 94, 2582–2594. [Google Scholar] [CrossRef]
- Vos, R.; Bellù, L.G. Global Trends and Challenges to Food and Agriculture into the 21st Century. In Sustainable Food and Agriculture; Clayton Campanhola, S.P., Ed.; Academic Press: Cambridge, MA, USA, 2019; pp. 11–30. ISBN 9780128121344. [Google Scholar]
- Grunert, K.G. Trends in food choice and nutrition Changes in the way we eat Health concerns. In Consumer Attitudes to Food Quality Products; Wageningen Academic Publishers: Wageningen, The Netherlands, 2013; pp. 23–30. [Google Scholar]
- FAO. The Future of Food and Agriculture–Trends and Challenges; Food and Agriculture Organization of the United Nations: Rome, Italy, 2017. [Google Scholar]
- Moubarac, J.-C.; Parra, D.C.; Cannon, G.; Monteiro, C.A. Food Classification Systems Based on Food Processing: Significance and Implications for Policies and Actions: A Systematic Literature Review and Assessment. Curr. Obes. Rep. 2014, 3, 256–272. [Google Scholar] [CrossRef]
- Knorr, D.; Watzke, H. Food Processing at a Crossroad. Front. Nutr. 2019, 6, 85. [Google Scholar] [CrossRef] [Green Version]
- Siegrist, M.; Hartmann, C. Consumer acceptance of novel food technologies. Nat. Food 2020, 1, 343–350. [Google Scholar] [CrossRef]
- Misra, N.N.; Koubaa, M.; Roohinejad, S.; Juliano, P.; Alpas, H.; Inácio, R.S.; Saraiva, J.A.; Barba, F.J. Landmarks in the historical development of twenty first century food processing technologies. Food Res. Int. 2017, 97, 318–339. [Google Scholar] [CrossRef] [PubMed]
- Huang, H.W.; Wu, S.J.; Lu, J.K.; Shyu, Y.T.; Wang, C.Y. Current status and future trends of high-pressure processing in food industry. Food Control 2017, 72, 1–8. [Google Scholar] [CrossRef]
- Arnold, N.; Yang, L.; Boyer, R.; Saunders, T. How Is Pasteurization Used to Process Food? Virginia Cooperative Extension: Blacksburg, VA, USA, 2019; p. 2. [Google Scholar]
- Contreras, C.; Benlloch-Tinoco, M.; Rodrigo, D.; Martínez-Navarrete, N. Impact of microwave processing on nutritional, sensory, and other quality attributes. In The Microwave Processing of Foods; Elsevier Ltd.: Amsterdam, The Netherlands, 2017; pp. 65–99. ISBN 9780081005286. [Google Scholar]
- Neetoo, H.; Chen, H. Alternative Food Processing Technologies. In Food Processing: Principles and Applications, 2nd ed.; John Wiley & Sons, Ltd.: Hoboken, NJ, USA, 2014; pp. 137–169. [Google Scholar] [CrossRef]
- Fryer, P.J.; Versteeg, C. Processing technology innovation in the food industry. Innov. Manag. Policy Pract. 2008, 10, 74–90. [Google Scholar] [CrossRef]
- Priyadarshini, A.; Rajauria, G.; O’Donnell, C.P.; Tiwari, B.K. Emerging food processing technologies and factors impacting their industrial adoption. Crit. Rev. Food Sci. Nutr. 2019, 59, 3082–3101. [Google Scholar] [CrossRef]
- Li, X.; Farid, M. A review on recent development in non-conventional food sterilization technologies. J. Food Eng. 2016, 182, 33–45. [Google Scholar] [CrossRef]
- Barbosa-Cánovas, G.V.; Tapia, M.S.; Cano, M.P. (Eds.) Novel Food Processing Technologies; CRC Press: Boca Raton, FL, USA, 2004. [Google Scholar]
- Morris, C.; Brody, A.L.; Wicker, L. Non-thermal food processing/preservation technologies: A review with packaging implications. Packag. Technol. Sci. 2007, 20, 275–286. [Google Scholar] [CrossRef]
- Artés, F.; Allende, A. Minimal fresh processing of vegetables, fruits and juices. Emerg. Technol. Food Process. 2005, 677–716. [Google Scholar] [CrossRef]
- Swanson, B.G.; Tokusoglu, Ö. Improving Food Quality with Novel Food Processing Technologies; CRC Press: Boca Raton, FL, USA, 2014; ISBN 9781466507258. [Google Scholar]
- Zanoli, R.; Naspetti, S. Consumer motivations in the purchase of organic food: A means-end approach. Br. Food J. 2002, 104, 643–653. [Google Scholar] [CrossRef] [Green Version]
- Harper, G.C.; Makatouni, A. Consumer perception of organic food production and farm animal welfare. Br. Food J. 2002, 104, 287–299. [Google Scholar] [CrossRef]
- Olsen, N.V.; Grunert, K.G.; Sonne, A.M. Consumer acceptance of high-pressure processing and pulsed-electric field: A review. Trends Food Sci. Technol. 2010, 21, 464–472. [Google Scholar] [CrossRef]
- Frewer, L.J. Consumer acceptance and rejection of emerging agrifood technologies and their applications. Eur. Rev. Agric. Econ. 2017, 44, 683–704. [Google Scholar] [CrossRef]
- Naspetti, S.; Zanoli, R. Organic food quality and safety perception throughout europe. J. Food Prod. Mark. 2009, 15, 249–266. [Google Scholar] [CrossRef] [Green Version]
- Shafie, F.A.; Rennie, D. Consumer Perceptions Towards Organic Food. Procedia-Soc. Behav. Sci. 2012, 49, 360–367. [Google Scholar] [CrossRef] [Green Version]
- Kahl, J.; van der BurGt, G.J.; Kusche, D.; Bügel, S.; Busscher, N.; Hallmann, E.; Huber, M. Organic Food Claims in Europe. Foodtechnology 2010, 64, 38–46. Available online: https://www.ift.org/news-and-publications/food-technology-magazine/issues/2010/march/features/organic-food-claims-in-europe (accessed on 23 August 2021).
- Beck, A.; Kretzschmar, U.; Ploege, A.; Schmid, O. Code of Practice for Organic Food Processing; Research Institute of Organic Agriculture (FiBL): Frick, Switzerland, 2006; Volume 1, ISBN 9783906081854. [Google Scholar]
- Kretzschmar, U.; Schmid, O. Quality and safety aspects of organic and low-input food processing: Results of a Delphi survey from an expert consultation in 13 European countries. NJAS-Wageningen J. Life Sci. 2011, 58, 111–116. [Google Scholar] [CrossRef] [Green Version]
- European Parliament & Council REGULATION (EU) 2018/848 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 30 May 2018 on organic production and labelling of organic products and repealing Council Regulation (EC) No 834/2007. Off. J. Eur. Union 2018, 2018, 15.
- Hawley, K.L.; Roberto, C.A.; Bragg, M.A.; Liu, P.J.; Schwartz, M.B.; Brownell, K.D. The science on front-of-package food labels. Public Health Nutr. 2013, 16, 430–439. [Google Scholar] [CrossRef]
- Sonnenberg, L.; Gelsomin, E.; Levy, D.E.; Riis, J.; Barraclough, S.; Thorndike, A.N. A traffic light food labeling intervention increases consumer awareness of health and healthy choices at the point-of-purchase. Prev. Med. 2013, 57, 253–257. [Google Scholar] [CrossRef] [Green Version]
- Van Herpen, E.; van Trijp, H.C.M. Front-of-pack nutrition labels. Their effect on attention and choices when consumers have varying goals and time constraints. Appetite 2011, 57, 148–160. [Google Scholar] [CrossRef]
- Zhang, X.; Liu, Y.; Gu, Y.; Wang, S.; Chen, H. Red for “stop”: “traffic-light” nutrition labels decrease unhealthy food choices by increasing activity and connectivity in the frontal lobe. Nutrients 2020, 12, 128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kelly, B.; Hughes, C.; Chapman, K.; Louie, J.C.Y.; Dixon, H.; Crawford, J.; King, L.; Daube, M.; Slevin, T. Consumer testing of the acceptability and effectiveness of front-of-pack food labelling systems for the Australian grocery market. Health Promot. Int. 2009, 24, 120–129. [Google Scholar] [CrossRef] [Green Version]
- Bialkova, S.; Grunert, K.G.; Juhl, H.J.; Wasowicz-Kirylo, G.; Stysko-Kunkowska, M.; van Trijp, H.C.M. Attention mediates the effect of nutrition label information on consumers’ choice: Evidence from a choice experiment involving eye-tracking. Appetite 2014, 76, 66–75. [Google Scholar] [CrossRef]
- Bialkova, S.; van Trijp, H. What determines consumer attention to nutrition labels? Food Qual. Prefer. 2010, 21, 1042–1051. [Google Scholar] [CrossRef]
- Coleman, R. Designing Experiments for the Social Science. How to Plan, Create, and Execute Research Using Experiments; SAGE Publications Inc.: Thousand Oaks, CA, USA, 2019. [Google Scholar]
- Levay, K.E.; Freese, J.; Druckman, J.N. The Demographic and Political Composition of Mechanical Turk Samples. Sage Open 2016, 6. [Google Scholar] [CrossRef] [Green Version]
- Mullinix, K.J.; Leeper, T.J.; Druckman, J.N.; Freese, J. The Generalizability of Survey Experiments*. J. Exp. Polit. Sci. 2015, 2, 109–138. [Google Scholar] [CrossRef] [Green Version]
- Krupnikov, Y.; Levine, A.S. Cross-Sample Comparisons and External Validity. J. Exp. Polit. Sci. 2014, 1, 59–80. [Google Scholar] [CrossRef]
- Buchner, A.; Erdfelder, E.; Faul, F.; Lang, A.-G. G*Power Version 3.1; Heinrich Heine University: Düsseldorf, Germany, 2021; Available online: https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower (accessed on 23 August 2021).
- Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Erlbaum Associates Publishers: Mahwah, NJ, USA, 1988. [Google Scholar]
- National Research Council (US) Committee on Vision. Using Color Vision Tests. In Procedures for Testing Color Vision: Report of Working Group 41; National Academies Press: Washington, DC, USA, 1981. [Google Scholar]
- Jermann, C.; Koutchma, T.; Margas, E.; Leadley, C.; Ros-Polski, V. Mapping trends in novel and emerging food processing technologies around the world. Innov. Food Sci. Emerg. Technol. 2015, 31, 14–27. [Google Scholar] [CrossRef]
- Probst, L.; Frideres, L.; Pedersen, B.; Amato, F.; Luxembourg, P. Sustainable, Safe and Nutritious Food: New Nutrient Sources; European Commission: Brussels, Belgium, 2015; Available online: https://ec.europa.eu/growth/industry/innovation/business-innovation-observatory/case-studies_view_en (accessed on 23 August 2021).
- Yang, Y.; Hobbs, J.E. The Power of Stories: Narratives and Information Framing Effects in Science Communication. Am. J. Agric. Econ. 2020, 102, 1271–1296. [Google Scholar] [CrossRef]
- Downs, J.S. Prescriptive scientific narratives for communicating usable science. Proc. Natl. Acad. Sci. USA 2014, 111, 13627–13633. [Google Scholar] [CrossRef] [Green Version]
- Arvola, A.; Lähteenmäki, L. Consumer views about processed organic food products: Information for market oriented product development [Kuluttajien mielikuvat jalostetuista luomutuotteista: Tietoa markkinalähtöisen tuotekehityksen pohjaksi]. VTT Tied. Valt. Tek. Tutkimus k2217 2003, 3–86. Available online: https://www.vttresearch.com/sites/default/files/pdf/tiedotteet/2003/T2217.pdf (accessed on 23 August 2021).
- Knorr, D.; Augustin, M.A. Food processing needs, advantages and misconceptions. Trends Food Sci. Technol. 2021, 108, 103–110. [Google Scholar] [CrossRef]
- Sung, H.; Park, J.M.; Oh, S.U.; Ha, K.; Joung, H. Consumption of ultra-processed foods increases the likelihood of having obesity in Korean women. Nutrients 2021, 13, 698. [Google Scholar] [CrossRef]
- Rana, J.; Paul, J. Consumer behavior and purchase intention for organic food: A review and research agenda. J. Retail. Consum. Serv. 2017. [Google Scholar] [CrossRef]
- Ditlevsen, K.; Sandøe, P.; Lassen, J. Healthy food is nutritious, but organic food is healthy because it is pure: The negotiation of healthy food choices by Danish consumers of organic food. Food Qual. Prefer. 2019, 71, 46–53. [Google Scholar] [CrossRef] [Green Version]
- Rocha, A.; Morais, A.M.M.B. Role of minimally processed fruit and vegetables on the diet of the consumers in the XXI century. Acta Hortic. 2007, 746, 265–271. [Google Scholar] [CrossRef]
- Machiels, C.J.A.; Karnal, N. See how tasty it is? Effects of symbolic cues on product evaluation and taste. Food Qual. Prefer. 2016, 52, 195–202. [Google Scholar] [CrossRef]
- Tuorila, H.; Hartmann, C. Consumer responses to novel and unfamiliar foods. Curr. Opin. Food Sci. 2020, 33, 1–8. [Google Scholar] [CrossRef]
- Román, S.; Sánchez-Siles, L.M.; Siegrist, M. The importance of food naturalness for consumers: Results of a systematic review. Trends Food Sci. Technol. 2017, 67, 44–57. [Google Scholar] [CrossRef]
- Fischer, A.R.H.; Frewer, L.J. Consumer familiarity with foods and the perception of risks and benefits. Food Qual. Prefer. 2009, 20, 576–585. [Google Scholar] [CrossRef]
- Lusk, J.L.; Roosen, J.; Bieberstein, A. Consumer acceptance of new food technologies: Causes and roots of controversies. Annu. Rev. Resour. Econ. 2014, 6, 381–405. [Google Scholar] [CrossRef]
- Siegrist, M. Factors influencing public acceptance of innovative food technologies and products. Trends Food Sci. Technol. 2008, 19, 603–608. [Google Scholar] [CrossRef]
- Sanchez-Siles, L.M.; Michel, F.; Román, S.; Bernal, M.J.; Philipsen, B.; Haro, J.F.; Bodenstab, S.; Siegrist, M. The Food Naturalness Index (FNI): An integrative tool to measure the degree of food naturalness. Trends Food Sci. Technol. 2019, 91, 681–690. [Google Scholar] [CrossRef]
- Verbeke, W. Agriculture and the food industry in the information age. Eur. Rev. Agric. Econ. 2005, 32, 347–368. [Google Scholar] [CrossRef]
- Lee, H.J.; Yun, Z.S. Consumers’ perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food. Food Qual. Prefer. 2015, 39, 259–267. [Google Scholar] [CrossRef]
- Bruhn, C.M. Enhancing consumer acceptance of new processing technologies. Innov. Food Sci. Emerg. Technol. 2007, 8, 555–558. [Google Scholar] [CrossRef]
- Szymkowiak, A.; Guzik, P.; Kulawik, P.; Zając, M. Attitude-behaviour dissonance regarding the importance of food preservation for customers. Food Qual. Prefer. 2020, 84, 103935. [Google Scholar] [CrossRef]
- Slovic, P. Risk Perception. Science 1987, 236, 280–285. [Google Scholar] [CrossRef] [PubMed]
- Vidigal, M.C.T.R.; Minim, V.P.R.; Simiqueli, A.A.; Souza, P.H.P.; Balbino, D.F.; Minim, L.A. Food technology neophobia and consumer attitudes toward foods produced by new and conventional technologies: A case study in Brazil. LWT-Food Sci. Technol. 2015, 60, 832–840. [Google Scholar] [CrossRef] [Green Version]
- McPhetres, J.; Rutjens, B.T.; Weinstein, N.; Brisson, J.A. Modifying attitudes about modified foods: Increased knowledge leads to more positive attitudes. J. Environ. Psychol. 2019, 64, 21–29. [Google Scholar] [CrossRef] [Green Version]
- Carfora, V.; Cavallo, C.; Catellani, P.; Giudice, T.D.; Cicia, G. Why do consumers intend to purchase natural food? Integrating theory of planned behavior, value-belief-norm theory, and trust. Nutrients 2021, 13, 1904. [Google Scholar] [CrossRef] [PubMed]
- Nielsen, T.H. Minimal and careful processing. In Report 1 of the Sub-Project 5 in the EU Project No. 50635 ‘Quality of Low Input Food’; Schmid, O., Beck, A., Kretzschmar, U., Eds.; Research Institute of Organic Agriculture (FiBL): Frick, Switzerland, 2004; pp. 36–38. [Google Scholar]
- Rozin, P. Naturalness Judgments by Lay Americans: Process Dominates Content in Judgments of Food or Water Acceptability and Naturalness. Judgm. Decis. Mak. J. 2006, 1, 91–97. [Google Scholar]
Method/Scheme | Contrast | Std. Err. | t | P > t |
---|---|---|---|---|
(active vs. past) Mono | −1.692308 | 4.247585 | −0.40 | 0.690 |
(active vs. past) Color | −3.661538 | 4.247585 | −0.86 | 0.389 |
(edible vs. past) Mono | −1.630769 | 4.247585 | −0.38 | 0.701 |
(edible vs. past) Color | 2.169231 | 4.247585 | 0.51 | 0.610 |
(hpp vs. past) Mono | −4.769231 | 4.247585 | −1.12 | 0.262 |
(hpp vs. past) Color | 0.6153846 | 4.247585 | 0.14 | 0.885 |
(map vs. past) Mono | 1.492308 | 4.247585 | 0.35 | 0.725 |
(map vs. past) Color | −1.169231 | 4.247585 | −0.28 | 0.783 |
(micro vs. past) Mono | −15.92308 | 4.247585 | −3.75 | 0.000 |
(micro vs. past) Color | −21.67692 | 4.247585 | −5.10 | 0.000 |
(pef vs. past) Mono | −11.58462 | 4.247585 | −2.73 | 0.006 |
(pef vs. past) Color | −9.723077 | 4.247585 | −2.29 | 0.022 |
(uht vs. past) Mono | −2.830769 | 4.247585 | −0.67 | 0.505 |
(uht vs. past) Color | −6.861538 | 4.247585 | −1.62 | 0.107 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kilic, B.; Cubero Dudinskaya, E.; Proi, M.; Naspetti, S.; Zanoli, R. Are They Careful Enough? Testing Consumers’ Perception of Alternative Processing Technologies on the Quality of Organic Food. Nutrients 2021, 13, 2922. https://doi.org/10.3390/nu13092922
Kilic B, Cubero Dudinskaya E, Proi M, Naspetti S, Zanoli R. Are They Careful Enough? Testing Consumers’ Perception of Alternative Processing Technologies on the Quality of Organic Food. Nutrients. 2021; 13(9):2922. https://doi.org/10.3390/nu13092922
Chicago/Turabian StyleKilic, Busra, Emilia Cubero Dudinskaya, Migena Proi, Simona Naspetti, and Raffaele Zanoli. 2021. "Are They Careful Enough? Testing Consumers’ Perception of Alternative Processing Technologies on the Quality of Organic Food" Nutrients 13, no. 9: 2922. https://doi.org/10.3390/nu13092922