Comparison of Targeted (HPLC) and Nontargeted (GC-MS and NMR) Approaches for the Detection of Undeclared Addition of Protein Hydrolysates in Turkey Breast Muscle
- PMID: 32784468
- PMCID: PMC7465048
- DOI: 10.3390/foods9081084
Comparison of Targeted (HPLC) and Nontargeted (GC-MS and NMR) Approaches for the Detection of Undeclared Addition of Protein Hydrolysates in Turkey Breast Muscle
Abstract
The adulteration of fresh turkey meat by the undeclared addition of protein hydrolysates is of interest for fraudsters due to the increase of the economic gain by substituting meat with low cost ingredients. The aim of this study was to compare the suitability of three different analytical techniques such as GC-MS and 1H-NMR with HPLC-UV/VIS as a targeted method, for the detection of with protein hydrolysates adulterated turkey meat. For this, turkey breast muscles were treated with different plant- (e.g., wheat) and animal-based (e.g., gelatin, casein) protein hydrolysates with different hydrolyzation degrees (15-53%: partial; 100%: total), which were produced by enzymatic and acidic hydrolysis. A water- and a nontreated sample (REF) served as controls. The data analyses revealed that the hydrolysate-treated samples had significantly higher levels of amino acids (e.g., leucine, phenylalanine, lysine) compared with REF observed with all three techniques concordantly. Furthermore, the nontargeted metabolic profiling (GC-MS and NMR) showed that sugars (glucose, maltose) and/or by-products (build and released during acidic hydrolyses, e.g., levulinic acid) could be used for the differentiation between control and hydrolysates (type, degrees). The combination of amino acid profiling and additional compounds gives stronger evidence for the detection and classification of adulteration in turkey breast meat.
Keywords: 1H-NMR; GC-MS; HPLC-UV/VIS; ProHydrAdd; food fraud; free amino acid contents; metabolomics; protein hydrolysate.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Trivedi D.K., Hollywood K.A., Rattray N.J.W., Ward H., Trivedi D.K., Greenwood J., Ellis D.I., Goodacre R. Meat, the metabolites: An integrated metabolite profiling and lipidomics approach for the detection of the adulteration of beef with pork. Analyst. 2016;141:2155–2164. doi: 10.1039/C6AN00108D. - DOI - PMC - PubMed
-
- Campmajó G., Saez-Vigo R., Saurina J., Nunez O. High-performance liquid chromatography with fluorescence detection fingerprinting combined with chemometrics for nut classification and the detection and quantitation of almond-based product adulterations. Food Control. 2020;114:107265. doi: 10.1016/j.foodcont.2020.107265. - DOI
-
- Kamruzzaman M., Makino Y., Oshita S. Hyperspectral imaging in tandem with multivariate analysis and image processing for non-invasive detection and visualization of pork adulteration in minced beef. Anal. Methods. 2015;7:7496–7502. doi: 10.1039/C5AY01617G. - DOI
-
- Hamm R. Kolloidchemie des Fleisches. Parey; Singhofen, Germany: 1972. Colloid Chemistry of Meat; the Water-Binding Capacity of Muscle Protein in Theory and Practice.
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