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Improved Detection and Quantification of Cyclopropane Fatty Acids via Homonuclear Decoupling Double Irradiation NMR Methods.
Eltemur, Dilek; Robatscher, Peter; Oberhuber, Michael; Ceccon, Alberto.
Afiliação
  • Eltemur D; Laimburg Research Centre, Laimburg 6 - Pfatten (Vadena), Auer (Ora), BZ 39040, Italy.
  • Robatscher P; Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Piazza Università 5, Bozen-Bolzano 39100, Italy.
  • Oberhuber M; Laimburg Research Centre, Laimburg 6 - Pfatten (Vadena), Auer (Ora), BZ 39040, Italy.
  • Ceccon A; Laimburg Research Centre, Laimburg 6 - Pfatten (Vadena), Auer (Ora), BZ 39040, Italy.
ACS Omega ; 8(44): 41835-41843, 2023 Nov 07.
Article em En | MEDLINE | ID: mdl-37970028
ABSTRACT
Over the years, NMR spectroscopy has become a powerful analytical tool for the identification and quantification of a variety of natural compounds in a broad range of food matrices. Furthermore, NMR can be useful for characterizing food matrices in terms of quality and authenticity, also allowing for the identification of counterfeits. Although NMR requires minimal sample preparation, this technique suffers from low intrinsic sensitivity relative to complementary techniques; thus, the detection of adulterants or markers for authenticity at low concentrations remains challenging. Here, we present a strategy to overcome this limitation by the introduction of a simple band-selective homonuclear decoupling sequence that consists of double irradiation on 1H during NMR signal acquisition. The utility of the proposed method is tested on dihydrosterculic acid (DHSA), one of the cyclopropane fatty acids (CPFAs) shown to be a powerful molecular marker for authentication of milk products. A quantitative description of how the proposed NMR scheme allows sensitivity enhancement yet accurate quantification of DHSA is provided.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article