Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry

Jingjing Liu; Nick Birse; Carlos Alvarez; Isabelle Legrand; Marie-Pierre Ellies-Oury; Sophie Prache; Rod Polkinghorne; Nigel Scollan

Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry

Jingjing Liu, Nick Birse, Carlos Alvarez, Isabelle Legrand, Marie-Pierre Ellies-Oury, Sophie Prache, Rod Polkinghorne, Nigel Scollan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	69th International Congress of Meat Science and Technology: Proceedings
Place of Publication	Padova, Italy
Pages	76-77
Publication status	Published - 20 Aug 2023
Event	ICoMST – 69th International Congress of Meat Science and Technology - Padua, Italy Duration: 20 Aug 2023 → 25 Aug 2023

Publication series

Name	Proceedings - International Congress of Meat Science and Technology
ISSN (Electronic)	1025-904X

Conference

Conference	ICoMST – 69th International Congress of Meat Science and Technology
Country/Territory	Italy
City	Padua
Period	20/08/2023 → 25/08/2023

Access to Document

Cite this

Liu, J., Birse, N., Alvarez, C., Legrand, I., Ellies-Oury, M.-P., Prache, S., Polkinghorne, R., & Scollan, N. (2023). Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry. In 69th International Congress of Meat Science and Technology: Proceedings (pp. 76-77). ( Proceedings - International Congress of Meat Science and Technology).. https://agris.fao.org/search/en/providers/122439/records/6582ee55de2dcdb4f674ed06

@inproceedings{c26839e8fbe94e79b794c3989c4eff1e,

title = "Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry",

author = "Jingjing Liu and Nick Birse and Carlos Alvarez and Isabelle Legrand and Marie-Pierre Ellies-Oury and Sophie Prache and Rod Polkinghorne and Nigel Scollan",

year = "2023",

month = aug,

day = "20",

language = "English",

series = " Proceedings - International Congress of Meat Science and Technology",

pages = "76--77",

booktitle = "69th International Congress of Meat Science and Technology: Proceedings",

note = "ICoMST – 69th International Congress of Meat Science and Technology ; Conference date: 20-08-2023 Through 25-08-2023",

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Liu, J, Birse, N, Alvarez, C, Legrand, I, Ellies-Oury, M-P, Prache, S, Polkinghorne, R & Scollan, N 2023, Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry. in 69th International Congress of Meat Science and Technology: Proceedings. Proceedings - International Congress of Meat Science and Technology, Padova, Italy, pp. 76-77, ICoMST – 69th International Congress of Meat Science and Technology, Padua, Italy, 20/08/2023. <https://agris.fao.org/search/en/providers/122439/records/6582ee55de2dcdb4f674ed06>

Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry. / Liu, Jingjing; Birse, Nick; Alvarez, Carlos et al.
69th International Congress of Meat Science and Technology: Proceedings. Padova, Italy, 2023. p. 76-77 ( Proceedings - International Congress of Meat Science and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Discrimination of meat sensory quality and composition of beef by using rapid evaporative ionisation mass spectrometry

AU - Liu, Jingjing

AU - Birse, Nick

AU - Alvarez, Carlos

AU - Legrand, Isabelle

AU - Ellies-Oury, Marie-Pierre

AU - Prache, Sophie

AU - Polkinghorne, Rod

AU - Scollan, Nigel

PY - 2023/8/20

Y1 - 2023/8/20

M3 - Conference contribution

T3 - Proceedings - International Congress of Meat Science and Technology

SP - 76

EP - 77

BT - 69th International Congress of Meat Science and Technology: Proceedings

CY - Padova, Italy

T2 - ICoMST – 69th International Congress of Meat Science and Technology

Y2 - 20 August 2023 through 25 August 2023

ER -