When detection of dairy food fraud fails: An alternative approach through proton nuclear magnetic resonance spectroscopy

نویسندگان

چکیده

This paper investigated the limits of current approach for determination fatty acids profile milk fats from proton nuclear magnetic resonance data based on hypothesis that signal at 0.96 ppm, currently assigned in literature as a marker “short chain acids,” is generated only by butyric moiety (not all short-chain acids, which also include C6:0—caproic acid). The was tested and experimentally confirmed. Moreover, triplet ppm can be due to n-3 such linolenic acid (C18:3); therefore, previously reported methodology profiling dairy products—considered general literature—cannot used fraud-detection approaches because it allows mistaken acid, consequently leading misclassification adulterated samples nonadulterated. To support our opinion, we have applied composition 3 synthetic nondairy fat blends obtained compositions similar fats, allowing their genuine fats. However, reality, had very different compositions, confirmed gas chromatography. Consequently, highlighted weaknesses existing detection food adulteration. In return, new descriptors various integral ratios signals associated with CH2 versus were proposed detect adulterations.

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ژورنال

عنوان ژورنال: Journal of Dairy Science

سال: 2021

ISSN: ['0022-0302', '1525-3198', '1529-9066']

DOI: https://doi.org/10.3168/jds.2020-19883