Literature DB >> 32458686

Detection of Peanut Adulteration in Food Samples by Nuclear Magnetic Resonance Spectroscopy.

Caroline Schmitt1, Tim Bastek1, Alina Stelzer1,2, Tobias Schneider1, Markus Fischer2, Thomas Hackl1,2.   

Abstract

The addition of cheap and also readily available raw materials, such as peanut powder, to visually and chemically similar matrices is a common problem in the food industry. When peanuts are used as an adulterant, there is an additional risk of potential health hazard to consumers as a result of allergy-induced anaphylaxis. In this study, different series of peanut admixtures to visually similar food products, such as powdered hazelnuts, almonds, and walnuts, were prepared and analyzed by 1H nuclear magnetic resonance (NMR) spectroscopy. For identification, an isolated signal at 3.05 ppm in the 1H NMR spectrum of polar peanut extract was used as an indicator of peanut adulteration. The chemical marker was identified as (2S,4R)-N-methyl-4-hydroxy-l-proline by resynthesis of the compound and used as an internal standard. The signal-to-noise ratio and the integral of the signal of the marker can both be used to detect peanut impurities. Overall, an approximate limit of detection of 4% admixtures of peanut in various food products was determined using a 400 MHz spectrometer. With regard to food fraud, we present a viable screening method for detection of economic-relevant peanut adulteration.

Entities:  

Keywords:  NMR spectroscopy; adulteration; metabolomics; peanut

Mesh:

Year:  2020        PMID: 32458686     DOI: 10.1021/acs.jafc.0c01999

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

Review 1.  Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis.

Authors:  Graciela Artavia; Carolina Cortés-Herrera; Fabio Granados-Chinchilla
Journal:  Foods       Date:  2021-05-13

2.  Comparison of Regular, Pure Shift, and Fast 2D NMR Experiments for Determination of the Geographical Origin of Walnuts.

Authors:  Stephanie Watermann; Caroline Schmitt; Tobias Schneider; Thomas Hackl
Journal:  Metabolites       Date:  2021-01-08

3.  Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B1 in Peanuts by Olfactory Visualization Technique.

Authors:  Chengyun Zhu; Jihong Deng; Hui Jiang
Journal:  Molecules       Date:  2022-10-09       Impact factor: 4.927

  3 in total

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