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http://dx.doi.org/10.5851/kosfa.2021.e75

Distinguishing Aroma Profile of Highly-Marbled Beef according to Quality Grade using Electronic Nose Sensors Data and Chemometrics Approach  

Utama, Dicky Tri (Department of Applied Animal Science, College of Animal Life Sciences, Kangwon National University)
Jang, Aera (Department of Applied Animal Science, College of Animal Life Sciences, Kangwon National University)
Kim, Gur Yoo (Department of Applied Animal Science, College of Animal Life Sciences, Kangwon National University)
Kang, Sun-Moon (Department of Animal Products Development and Utilization, National Institute of Animal Science, Rural Development Administration)
Lee, Sung Ki (Department of Applied Animal Science, College of Animal Life Sciences, Kangwon National University)
Publication Information
Food Science of Animal Resources / v.42, no.2, 2022 , pp. 240-251 More about this Journal
Abstract
Fat deposition in animal muscles differs according to the genetics and muscle anatomical locations. Moreover, different fat to lean muscle ratios (quality grade, QG) might contribute to aroma development in highly marbled beef. Scientific evidence is required to determine whether the abundance of aroma volatiles is positively correlated with the amount of fat in highly marbled beef. Therefore, this study aims to investigate the effect of QG on beef aroma profile using electronic nose data and a chemometric approach. An electronic nose with metal oxide semiconductors was used, and discrimination was performed using multivariate analysis, including principal component analysis and hierarchical clustering. The M. longissimus lumborum (striploin) of QG 1++, 1+, 1, and 2 of Hanwoo steers (n=6), finished under identical feeding systems on similar farms, were used. In contrast to the proportion of monounsaturated fatty acids (MUFAs), the abundance of volatile compounds and the proportion of polyunsaturated fatty acids (PUFAs) decreased as the QG increased. The aroma profile of striploin from carcasses of different QGs was well-discriminated. QG1++ was close to QG1+, while QG1 and QG2 were within a cluster. In conclusion, aroma development in beef is strongly influenced by fat deposition, particularly the fat-to-lean muscle ratio with regard to the proportion of PUFA. As MUFA slows down the oxidation and release of volatile compounds, leaner beef containing a higher proportion of PUFA produces more volatile compounds than beef with a higher amount of intramuscular fat.
Keywords
hierarchical clustering; lipid oxidation; marbling; multivariate analysis; principal component analysis; volatile compounds;
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Times Cited By KSCI : 5  (Citation Analysis)
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1 Koh KC, Chung KY, Kim HS, Kang SJ, Choi CB, Jo C, Choe J. 2019. Determination of point of sale and consumption for Hanwoo beef based on quality grade and aging time. Food Sci Anim Resour 39:139-150.   DOI
2 Labuza TP, Saltmarch M. 1981. The nonenzymatic browning reaction as affected by water in foods. In Water activity: Influences on food quality: A treatise on the influence of bound and free water on the quality and stability of foods and other natural products. Rockland LB, Stewart GF (ed). Academic Press, New York, NY, USA. pp 605-650.
3 Legako JF, Dinh TTN, Miller MF, Brooks JC. 2015. Effects of USDA beef quality grade and cooking on fatty acid composition of neutral and polar lipid fractions. Meat Sci 100:246-255.   DOI
4 Mortzfeld FB, Hashem C, Vrankova K, Winkler M, Rudroff F. 2020. Pyrazines: Synthesis and industrial application of these valuable flavor and fragrance compounds. Biotechnol J 15:2000064.   DOI
5 Mottram DS, Edwards RA. 1983. The role of triglycerides and phospholipids in the aroma of cooked beef. J Sci Food Agric 34:517-522.   DOI
6 Ba HV, Hwang IH, Jeong D, Touseef A. 2012. Principle of meat aroma flavors and future prospect. In Latest research into quality control. Akyar I (ed). IntechOpen, Rijeka, Croatia. pp 145-176.
7 Sirtori F, Aquilani C, Dimauro C, Bozzi R, Franci O, Calamai L, Pezzati A, Pugliese C. 2021. Characterization of subcutaneous fat of Toscano dry-cured ham and identification of processing stage by multivariate analysis approach based on volatile profile. Animals 11:13.
8 Utama DT, Lee CW, Park YS, Jang A, Lee SK. 2018. Comparison of meat quality, fatty acid composition and aroma volatiles of Chikso and Hanwoo beef. Asian-Australas J Anim Sci 31:1500-1506.   DOI
9 Utama DT, Lee SG, Baek KH, Chung WS, Chung IA, Jeon JT, Lee SK. 2017. High pressure processing for dark-firm-dry beef: Effect on physical properties and oxidative deterioration during refrigerated storage. Asian-Australas J Anim Sci 30:424-431.   DOI
10 Piao MY, Yong HI, Lee HJ, Fassah DM, Kim HJ, Jo C, Baik M. 2017. Comparison of fatty acid profiles and volatile compounds among quality grades and their association with carcass characteristics in longissimus dorsi and semimembranosus muscles of Korean cattle steer. Livest Sci 198:147-156.   DOI
11 Suslick BA, Feng L, Suslick KS. 2010. Discrimination of complex mixtures by a colorimetric sensor array: Coffee aromas. Anal Chem 82:2067-2073.   DOI
12 Procida G, Giomo A, Cichelli A, Conte LS. 2005. Study of volatile compounds of defective virgin olive oils and sensory evaluation: A chemometric approach. J Sci Food Agric 85:2175-2183.   DOI
13 Galili T. 2015. Dendextend: An R package for visualizing, adjusting, and comparing trees of hierarchical clustering. Bioinformatics 31:3718-3720.   DOI
14 Frank D, Ball A, Hughes J, Krishnamurthy R, Piyasiri U, Stark J, Watkins P, Warner R. 2016. Sensory and flavor chemistry characteristics of Australian beef: influence of intramuscular fat, feed, and breed. J Agric Food Chem 64:4299-4311.   DOI
15 Jo C, Ahn DU, Lee JI. 1999. Lipid and cholesterol oxidation, color changes, and volatile production in irradiated raw pork batters with different fat content. J Food Qual 22:641-651.   DOI
16 Jo C, Jayasena DD, Lim DG, Lee KH, Kim JJ, Cha JS, Nam KC. 2013. Effect of intramuscular fat content on the meat quality and antioxidative dipeptides of Hanwoo beef. Korean J Food Nutr 26:117-124.   DOI
17 Abbott SK, Else PL, Atkins TA, Hulbert AJ. 2012. Fatty acid composition of membrane bilayers: Importance of diet polyunsaturated fat balance. Biochim Biophys Acta Biomembr 1818:1309-1317.   DOI
18 Ba HV, Oliveros MC, Ryu KS, Hwang IH. 2010. Development of analysis condition and detection of volatile compounds from cooked Hanwoo beef by SPME-GC/MS analysis. Korean J Food Sci Anim Resour 30:73-86.   DOI
19 De Mandiburu F. 2017. Agricolae: Statistical procedures for agricultural research. R package version 1.2-8. Available from https://CRAN.R-project.org/package=agricolae. Accessed at Nov 1, 2018.
20 Elmore JS, Warren HE, Mottram DS, Scollan ND, Enser M, Richardson RI, Wood JD. 2004. A comparison of the aroma volatiles and fatty acid compositions of grilled beef muscle from Aberdeen Angus and Holstein-Friesian steers fed diets based on silage or concentrates. Meat Sci 68:27-33.   DOI
21 Jo C, Ahn DU. 1999. Fat reduces volatiles production in oil emulsion system analyzed by purge-and-trap dynamic headspace/gas chromatography. J Food Sci 64:641-643.   DOI
22 Tang Y, Horikoshi M, Li W. 2016. Ggfortify: Unified interface to visualize statistical result of popular R packages. R J 8:474-485.   DOI
23 Lim DG, Cha JS, Jo C, Lee KH, Kim JJ, Nam KC. 2014. Comparison of physicochemical and functional traits of Hanwoo steer beef by the quality grade. Korean J Food Sci Anim Resour 34:287-296.   DOI
24 Nunes CA, Alvarenga VO, de Souza Sant'Ana A, Santos JS, Granato D. 2015. The use of statistical software in food science and technology: Advantages, limitations and misuses. Food Res Int 75:270-280.   DOI
25 R Core Team. 2018. R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. Available from: http://www.R-project.org. Accessed at Nov 1, 2018.
26 Cho S, Lee W, Seol KH, Kim Y, Kang SM, Seo H, Jung Y, Kim J, Van Ba H. 2020. Comparison of storage stability, volatile compounds and sensory properties between coarsely- and finely-marbled 1+ grade Hanwoo beef loins. Food Sci Anim Resour 40:497-511.   DOI
27 Folch J, Lees M, Sloane Stanley GH. 1957. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226:497-509.   DOI
28 Granato D, Santos JS, Escher GB, Ferreira BL, Maggio RM. 2018. Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective. Trends Food Sci Technol 72:83-90.   DOI
29 Hunt MR, Legako JF, Dinh TT, Garmyn AJ, O'quinn TG, Corbin CH, Rathmann RJ, Brooks JC, Miller MF. 2016. Assessment of volatile compounds, neutral and polar lipid fatty acids of four beef muscles from USDA choice and select graded carcasses and their relationships with consumer palatability scores and intramuscular fat content. Meat Sci 116:91-101.   DOI
30 AOAC. 2002. Official methods of analysis of AOAC International. 19th ed. AOAC International. Gaithersburg, MD, USA.
31 Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA. 2016. Food authentication: Techniques, trends & emerging approaches. TrAC Trends Analyt Chem 85:123-132.   DOI
32 Dominguez R, Pateiro M, Agregan R, Lorenzo JM. 2017. Effect of the partial replacement of pork backfat by microencapsulated fish oil or mixed fish and olive oil on the quality of frankfurter type sausage. J Food Sci Technol 54:26-37.   DOI
33 Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, Richardson RI, Hughes SI, Whittington FM. 2008. Fat deposition, fatty acid composition and meat quality: A review. Meat Sci 78:343-358.   DOI
34 Korea Institute for Animal Products Quality Evaluation [KAPE]. 2017. The beef carcass grading. Available from http://www.ekapepia.com/. Accessed at Nov 6, 2018.
35 Echegaray N, Dominguez R, Cadavez VAP, Bermudez R, Pateiro M, Gonzales-Barron U, Lorenzo JM. 2021. Influence of feeding system on Longissimus thoracis et lumborum volatile compounds of an Iberian local lamb breed. Small Rumin Res 201:106417.   DOI
36 Yu H, Zhang R, Yang F, Xie Y, Guo Y, Yao W, Zhou W. 2021. Control strategies of pyrazines generation from Maillard reaction. Trends Food Sci Technol 112:795-807.   DOI
37 Kebede B, Lee PY, Leong SY, Kethireddy V, Ma Q, Aganovic K, Eyres GT, Hamid N, Oey I. 2018. A chemometrics approach comparing volatile changes during the shelf life of apple juice processed by pulsed electric fields, high pressure and thermal pasteurization. Foods 7:169.   DOI
38 Wang Q, Jin G, Jin Y, Ma M, Wang N, Liu C, He L. 2014. Discriminating eggs from different poultry species by fatty acids and volatiles profiling: Comparison of SPME-GC/MS, electronic nose, and principal component analysis method. Eur J Lipid Sci Technol 116:1044-1053.   DOI
39 Xie J, Sun B, Zheng F, Wang S. 2008. Volatile flavor constituents in roasted pork of mini-pig. Food Chem 109:506-514.   DOI
40 Joo ST, Joo SH, Hwang YH. 2017. The relationships between muscle fiber characteristics, intramuscular fat content, and fatty acid compositions in M. longissimus lumborum of Hanwoo steers. Korean J Food Sci Anim Resour 37:780-786.   DOI
41 Wickham H. 2016. Ggplot2: Elegant graphics for data analysis. Springer Publishing, NY, USA. pp 244-247.