Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Consumers’ attachment to meat: Association between sensory properties and preferences for plant-based meat alternatives
Örebro University, Sweden.
Örebro University, Sweden.
Örebro University, Sweden.ORCID-id: 0000-0003-2606-9455
RISE Research Institutes of Sweden, Bioekonomi och hälsa, Jordbruk och livsmedel.ORCID-id: 0000-0002-2642-283x
2024 (Engelska)Ingår i: Food Quality and Preference, ISSN 0950-3293, E-ISSN 1873-6343, Vol. 116, artikel-id 105132Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

For the sake of both the environment and human health, it is necessary to reduce meat consumption. However, increased consumer adoption of plant-based meat alternatives (PBMAs) will only occur when such products are attractive. PBMAs with meat-like sensory attributes and those that can be cooked similarly to meat are known to be preferred, but the preference for meat-likeness varies depending on the consumer’s attitude towards meat. This study determined the relationship between consumers’ level of meat attachment (MA) on their sensory perceptions of and preference for commercial PBMAs, and their drivers of liking. MA was measured by the Meat Attachment Questionnaire (MAQ); consumers with either low or high MA (LMA and HMA, respectively) were invited to participate in the study (n = 99). The sensory characteristics of seven PBMAs were evaluated using a rate-all-that-apply (RATA) questionnaire, along with an ideal profile and product hedonics. Consumers with LMA had significantly higher overall, aroma, and taste liking, compared with consumers with HMA. Both LMA and HMA consumers similarly discriminated among the sensory properties of PBMAs and the ideal profile. Nevertheless, a further adapted penalty analysis showed subtle differences in consumers’ penalisation of sensory attributes depending on MA level. These findings could be used for future research and the development of PBMAs based on consumers’ MA; they could also be extended for application in a meal context where the PBMAs are consumed. 

Ort, förlag, år, upplaga, sidor
Elsevier Ltd , 2024. Vol. 116, artikel-id 105132
Nationell ämneskategori
Livsmedelsvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-72819DOI: 10.1016/j.foodqual.2024.105134Scopus ID: 2-s2.0-85185463684OAI: oai:DiVA.org:ri-72819DiVA, id: diva2:1854945
Forskningsfinansiär
Forskningsrådet Formas, 2020-02843
Anmärkning

This work was supported by FORMAS, the Swedish government research council for the environment, agricultural sciences, and spatial planning (reference no. 2020-02843).

Tillgänglig från: 2024-04-29 Skapad: 2024-04-29 Senast uppdaterad: 2025-09-23Bibliografiskt granskad

Open Access i DiVA

fulltext(1407 kB)210 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 1407 kBChecksumma SHA-512
52bfe4090d7e2407b8d8b47f8486e1c50c88192ff84d889ccaccb7c8793fce8e7747ff23c441b1f881886a7b7bb9e2f380a9fd3290e27a29ad3db21d4ecd62d7
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextScopus

Person

Mihnea, MihaelaNiimi, Jun

Sök vidare i DiVA

Av författaren/redaktören
Mihnea, MihaelaNiimi, Jun
Av organisationen
Jordbruk och livsmedel
I samma tidskrift
Food Quality and Preference
Livsmedelsvetenskap

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 211 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 322 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf