The Impact of the Fresh Pork Display Lamps on the Sensory Response of Consumers to Fresh Pork

Author:

Liu Yixuan1,Chen Wei1,Wu Xinwei1,Pointer Michael2,Chen Zhengjie1,Liu Xinghai1ORCID,Liu Qiang13,Xie Xufen4ORCID

Affiliation:

1. Department of Psychology, Academy of Advanced Interdisciplinary Studies, Wuhan University, Wuhan 430072, China

2. School of Design, Colour Technology Research Group, University of Leeds, Leeds LS2 9JT, UK

3. Joint Laboratory of Light Quality and Colour Vision, Wuhan University & OPPLE, Wuhan 430072, China

4. School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China

Abstract

Two studies were conducted to investigate the impact of fresh pork display lamps on consumers’ sensory responses to pork products. In the first experiment, 63 participants were asked to evaluate pork products with different degrees of freshness under four fresh pork display lights and two LED lights. In the other experiment, 30 subjects participated in the Farnsworth–Munsell 100 hue test under the same lamps, with the aim of showing whether the fresh pork display lamps impaired color discrimination. The results showed that the light source had a significant effect on the color appearance evaluation of the pork products. The ratings for perceived freshness under the fresh pork display lamps were significantly higher than those of ordinary LED lamps, while the color discrimination performance of the subjects under those lamps was poor. It was demonstrated that improper component proportions of the light spectrum could influence observers’ assessment of meat quality and weaken the observers’ ability to distinguish the freshness level. Through this study, the authors would like to remind lamp users and manufacturers to not only be concerned about the improvement in the color appearance of pork, but also the need for consumers to be aware of the authentic freshness of the pork products.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference61 articles.

1. OECD/FAO (2020). OECD-FAO Agricultural Outlook, OECD Agriculture Statistics (Database).

2. World Health Organization (2022, October 23). Estimating the Burden of Foodborne Diseases: A Practical Handbook for Countries. Available online: https://www.who.int/publications/i/item/9789240012264.

3. Machine Vision System for Automatic Quality Grading of Fruit;Blasco;Biosyst. Eng.,2003

4. Proteomics for the Food Industry: Opportunities and Challenges;Pedreschi;Crit. Rev. Food Sci. Nutr.,2010

5. Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables;Cubero;Food Bioprocess Technol.,2010

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