2016
DOI: 10.1016/j.foodchem.2015.10.036
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Quantitative determination of carboxylic acids, amino acids, carbohydrates, ethanol and hydroxymethylfurfural in honey by 1 H NMR

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Cited by 61 publications
(41 citation statements)
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“…It is employed to determine chemical compositions in a variety of food matrices for quality control, such as pork meat [232], energy drink [212], apple fruit juice [214], cider [215,216], honey [236], and beer [201]. It is also applied to evaluate food processing, for example, monitoring lactic acid production during milk fermentation [230], estimating nonthermal processing of orange juice [217].…”
Section: Food Analysismentioning
confidence: 99%
“…It is employed to determine chemical compositions in a variety of food matrices for quality control, such as pork meat [232], energy drink [212], apple fruit juice [214], cider [215,216], honey [236], and beer [201]. It is also applied to evaluate food processing, for example, monitoring lactic acid production during milk fermentation [230], estimating nonthermal processing of orange juice [217].…”
Section: Food Analysismentioning
confidence: 99%
“…To increase the accuracy of qNMR‐based purity assessments, the effects of the NMR measurement parameters and sample preparation procedure were investigated . qNMR has been validated for various types of organic substances with the help of CRMs for qNMR measurement …”
Section: Introductionmentioning
confidence: 99%
“…Today, 1 H NMR spectroscopy is the most popular among spectroscopic methods due to its simplicity (Rutledge, 1996) [26] and completeness of information (Majumdar et al, 2017;Richards, Hollerton, 2011) [23,27], thus accelerating chemical research, especially in the food industry (Abraham, Mobli, 2008) [20]. A large number of articles discuss the use of NMR for research of food products: honey, fruits, juices, vegetables, pastry, cheese, meat, fish, dairy products, starch and alcohol products (Zuriarrain et [1,2,5,6,9,10,11,17,25,28,32]. This method provides comprehensive information with relatively simple obtaining spectra, thus greatly facilitating and accelerating chemical research (Hu et al, 2010;Nose et al, 2005;Roberts, 2002;Richards, Hollerton, 2011) [8,18,24,27].…”
Section: Introductionmentioning
confidence: 99%