Literature DB >> 22063866

Monitoring of warmed-over flavour in pork using the electronic nose - correlation to sensory attributes and secondary lipid oxidation products.

Kaja Tikk1, John-Erik Haugen, Henrik J Andersen, Margit D Aaslyng.   

Abstract

Sensory analysis of meatballs was carried out to monitor the warmed-over flavour (WOF) development in cooked, cold-stored (at 4°C for 0, 2 and 4days) and reheated meatballs derived from M. longissimus dorsi (LD) and M. semimembranosus (SM) of pigs fed a standard diet supplemented with either 3% of rapeseed oil or 3% of palm oil. This was performed in combination with measurement of volatile compounds using a solid-state-based gas sensor array system (electronic nose) and gas chromatography/mass spectrometry together with measurement of thiobarbitoric acid reactive substances (TBARS). Subsequently, to elucidate the relations and predictability between the obtained data, the gas sensor responses were correlated with chemical (volatile and non-volatile secondary lipid oxidation products) and sensory data (flavour and odour attributes), using partial least squares regression modelling (PLSR). The TBARS, hexanal, pentanal, pentanol and nonanal all correlated to the sensory attributes associated to WOF formation. Moreover, the responses from eight of the MOS (metal oxide semiconductor) sensors within the electronic nose proved to be significantly related to WOF characteristics detected by both sensory and chemical analysis, while six of the MOSFET (metal oxide semiconductor field effect transistor) sensors were related to freshly cooked meat attributes determined by sensory analysis. The obtained results show the potential of the present gas sensor technology to monitor WOF formation in pork.

Entities:  

Year:  2008        PMID: 22063866     DOI: 10.1016/j.meatsci.2008.05.040

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  8 in total

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Journal:  Foods       Date:  2022-05-25

2.  Electronic nose based on an optimized competition neural network.

Authors:  Hong Men; Haiyan Liu; Yunpeng Pan; Lei Wang; Haiping Zhang
Journal:  Sensors (Basel)       Date:  2011-05-04       Impact factor: 3.576

3.  Meat quality assessment by electronic nose (machine olfaction technology).

Authors:  Mahdi Ghasemi-Varnamkhasti; Seyed Saeid Mohtasebi; Maryam Siadat; Sundar Balasubramanian
Journal:  Sensors (Basel)       Date:  2009-07-30       Impact factor: 3.576

4.  L-lysine and L-arginine inhibit the oxidation of lipids and proteins of emulsion sausage by chelating iron ion and scavenging radical.

Authors:  Peng Xu; Yadong Zheng; Xiaoxu Zhu; Shiyi Li; Cunliu Zhou
Journal:  Asian-Australas J Anim Sci       Date:  2017-12-19       Impact factor: 2.509

5.  Effect of Gender, Rearing, and Cooking on the Metabolomic Profile of Porcine Muscles.

Authors:  Shoko Sawano; Keishi Oza; Tetsuya Murakami; Mako Nakamura; Ryuichi Tatsumi; Wataru Mizunoya
Journal:  Metabolites       Date:  2019-12-22

6.  Quality characteristics, fatty acid profiles, flavor compounds and eating quality of cull sow meat in comparison with commercial pork.

Authors:  Van Ba Hoa; Soo-Hyun Cho; Pil-Nam Seong; Sun-Moon Kang; Yun-Seok Kim; Sung-Sil Moon; Yong-Min Choi; Jin-Hyoung Kim; Kuk-Hwan Seol
Journal:  Asian-Australas J Anim Sci       Date:  2019-08-03       Impact factor: 2.509

Review 7.  Formation and Analysis of Volatile and Odor Compounds in Meat-A Review.

Authors:  Julian Bleicher; Elmar E Ebner; Kathrine H Bak
Journal:  Molecules       Date:  2022-10-08       Impact factor: 4.927

8.  Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose.

Authors:  Jun Chen; Juanhong Gu; Rong Zhang; Yuezhong Mao; Shiyi Tian
Journal:  Sensors (Basel)       Date:  2019-01-31       Impact factor: 3.576

  8 in total

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