Agricultural Sciences

Agricultural Sciences

ISSN Print: 2156-8553
ISSN Online: 2156-8561
www.scirp.org/journal/as
E-mail: as@scirp.org
"Characterization of the Geographical and Varietal Origin of Wheat and Bread by Means of Nuclear Magnetic Resonance (NMR), Isotope Ratio Mass Spectrometry (IRMS) Methods and Chemometrics: A Review"
written by Francesco Longobardi, Daniela Sacco, Grazia Casiello, Andrea Ventrella, Antonio Sacco,
published by Agricultural Sciences, Vol.6 No.1, 2015
has been cited by the following article(s):
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[1] Isotope Fingerprints of Common and Tartary Buckwheat Grains and Milling Fractions: A Preliminary Study
Foods, 2022
[2] Spectroscopic Fingerprinting and Chemometrics for the Discrimination of Italian Emmer Landraces
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[3] An origin identification model for labeling of shiitake (Lentinula edodes)
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[4] Classification of cereal flour species using Raman spectroscopy in combination with spectra quality control and multivariate statistical analysis
Journal of Cereal Science, 2021
[5] Food authentication: Introduction, techniques, and prospects
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[6] NGS techniques in food quality and safety
2019
[7] Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices
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[8] How to determine the geographical origin of food by molecular techniques
Molecular Techniques in Food Biology: Safety, Biotechnology, Authenticity and Traceability, 2018
[9] ISO-FOOD Ontology: A formal representation of the knowledge within the domain of Isotopes for Food Science
Food Chemistry, 2018
[10] Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis
Food Chemistry, 2018
[11] CN elemental and isotopic investigation in agricultural soils: Insights on the effects of zeolitite amendments
Chemie der Erde, 2017
[12] Stable isotope ratio analysis in determining the geographical traceability of Indian wheat
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[13] Effective Use of Food Traceability in Cereal Grain Food Supply Chains
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[14] Towards a universal approach based on-omics technologies for the quality control of food
BioMed Research International, 2016
[15] Discriminative study of a potato (Solanum tuberosum L.) cultivation region by measuring the stable isotope ratios of bio-elements
Food Chemistry, 2016
[16] HR-MAS and NMR towards Foodomics
Food Research International, 2016
[17] Towards a Universal Approach Based on Omics Technologies for the Quality Control of Food
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[18] Compound-Specific δ15N and δ13C Analyses of Amino Acids for Potential Discrimination between Organically and Conventionally Grown Wheat
Journal of Agricultural and Food Chemistry, 2015
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