Application of Multiple Factor Analysis in Sensory Studies of Food and Beverage Industry

XU Xiaoqing; SU Qingyu; WANG Dong; SONG Hao; ZHU Baoqing

doi:10.13386/j.issn1002-0306.2020090253

Volume 42 Issue 13

Jun. 2021

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Science and Technology of Food Industry > 2021 > 42(13): 427-434. > DOI: 10.13386/j.issn1002-0306.2020090253

XU Xiaoqing, SU Qingyu, WANG Dong, et al. Application of Multiple Factor Analysis in Sensory Studies of Food and Beverage Industry [J]. Science and Technology of Food Industry, 2021, 42(13): 427−434. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020090253.

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Application of Multiple Factor Analysis in Sensory Studies of Food and Beverage Industry

1.
School of Statistics, Renmin University of China, Beijing 100872, China
2.
Department of Food Science and Engineering, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China
3.
Beijing Yi Qing Food Group Co.,Ltd, Beijing 102600, China
4.
Beijing Industrial Technology Research Institute,Beijing 101111, China

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Received Date: September 23, 2020
Available Online: May 10, 2021

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Abstract

Abstract

Multiple factor analysis (MFA) is a method of multivariate statistical analysis that can be used to describe and summarize multi-group datasets with complex structures and sources. This method is closely related to the pinciple component analysis and has been widely used in the fields of food and beverage, cosmetics, epidemiology and ecology. This paper focuses on the theoretical basics and analyzing procedures of MFA. It also introduces recent research studies and using cases to summarize the application of MFA on projective mapping, napping, free choice profile, and consumer sensory liking driver exploration. It aims to provide guidance and reference for researchers in related fields.
- multiple factor analysis,
- projective mapping,
- Napping,
- free choice profile,
- preference mapping

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References (52)

References

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