Independent component analysis (ICA) algorithms for improved spectral deconvolution of overlapped signals in1H NMR analysis: application to foods and related products-Reference-Cited by-同舟云学术

Independent component analysis (ICA) algorithms for improved spectral deconvolution of overlapped signals in1H NMR analysis: application to foods and related products

Published:2014-03-07 Issue:5 Volume:52 Page:231-240
ISSN:0749-1581
Container-title:Magnetic Resonance in Chemistry
language:en
Short-container-title:Magn. Reson. Chem.

Author:

Monakhova Yulia B.¹²³,Tsikin Alexey M.²,Kuballa Thomas¹,Lachenmeier Dirk W.¹,Mushtakova Svetlana P.²

Affiliation:

1. Chemisches und Veterinäruntersuchungsamt (CVUA) Karlsruhe; Weissenburger Strasse 3 76187 Karlsruhe Germany

2. Department of Chemistry; Saratov State University; Astrakhanskaya Street 83 410012 Saratov Russia

3. Bruker Biospin GmbH; Silberstreifen 76287 Rheinstetten Germany

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Reference65 articles.

1. Nuclear Magnetic Resonance Spectroscopy and Chemometrics to Identify Pine Nuts That Cause Taste Disturbance

2. NMR spectroscopy in food authentication

3. Application of chemometrics to the 1H NMR spectra of apple juices: discrimination between apple varieties

4. Targeted and Nontargeted Wine Analysis by 1H NMR Spectroscopy Combined with Multivariate Statistical Analysis. Differentiation of Important Parameters: Grape Variety, Geographical Origin, Year of Vintage

5. Qualitative and Quantitative Control of Carbonated Cola Beverages Using 1H NMR Spectroscopy

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