Data fusion between high resolution 1H-NMR and mass spectrometry: a synergetic approach to honey botanical origin characterization
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Data fusion between high resolution 1H-NMR and mass spectrometry: a synergetic approach to honey botanical origin characterization
Authors
Keywords
Honey, Nuclear magnetic resonance, LC-MS, Data fusion, Botanical origin
Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 408, Issue 16, Pages 4389-4401
Publisher
Springer Nature
Online
2016-04-16
DOI
10.1007/s00216-016-9538-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Common components and specific weights analysis: A tool for metabolomic data pre-processing
- (2016) Elodie Dubin et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Classification of Honey According to Geographical and Botanical Origins and Detection of Its Adulteration Using Voltammetric Electronic Tongue
- (2016) Madiha Bougrini et al. Food Analytical Methods
- Review of validation and reporting of non-targeted fingerprinting approaches for food authentication
- (2015) Janet Riedl et al. ANALYTICA CHIMICA ACTA
- Optimization of FTIR-ATR spectroscopy for botanical authentication of unifloral honey types and melissopalynological data prediction
- (2015) Lidija Svečnjak et al. EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Fast and global authenticity screening of honey using 1H-NMR profiling
- (2015) Marc Spiteri et al. FOOD CHEMISTRY
- Discrimination of honey of different floral origins by a combination of various chemical parameters
- (2015) Z. Jandrić et al. FOOD CHEMISTRY
- Synergistic effect of the simultaneous chemometric analysis of 1H NMR spectroscopic and stable isotope (SNIF-NMR, 18O, 13C) data: Application to wine analysis
- (2014) Yulia B. Monakhova et al. ANALYTICA CHIMICA ACTA
- Data-fusion for multiplatform characterization of an italian craft beer aimed at its authentication
- (2014) Alessandra Biancolillo et al. ANALYTICA CHIMICA ACTA
- High-Resolution Mass Spectrometry Associated with Data Mining Tools for the Detection of Pollutants and Chemical Characterization of Honey Samples
- (2014) Jérôme Cotton et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Characterization of Markers of Botanical Origin and Other Compounds Extracted from Unifloral Honeys
- (2013) Elisabetta Schievano et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- The application of high resolution diffusion NMR to the analysis of manuka honey
- (2012) Adam Le Gresley et al. FOOD CHEMISTRY
- NMR Characterization of Saccharides in Italian Honeys of Different Floral Sources
- (2012) Roberto Consonni et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- The importance of experimental design and QC samples in large-scale and MS-driven untargeted metabolomic studies of humans
- (2012) Warwick B Dunn et al. Bioanalysis
- Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry
- (2011) Warwick B Dunn et al. Nature Protocols
- Method validation and comparison of acetonitrile and acetone extraction for the analysis of 169 pesticides in soya grain by liquid chromatography–tandem mass spectrometry
- (2009) Ionara R. Pizzutti et al. JOURNAL OF CHROMATOGRAPHY A
- icoshift: A versatile tool for the rapid alignment of 1D NMR spectra
- (2009) F. Savorani et al. JOURNAL OF MAGNETIC RESONANCE
- Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping
- (2009) Frans M. van der Kloet et al. JOURNAL OF PROTEOME RESEARCH
- ProteoWizard: open source software for rapid proteomics tools development
- (2008) Darren Kessner et al. BIOINFORMATICS
- Highly sensitive feature detection for high resolution LC/MS
- (2008) Ralf Tautenhahn et al. BMC BIOINFORMATICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started