Identification of biomarkers in hydrosoluble extracts from spelt and wheat cultivated in different production systems-Reference-Cited by-同舟云学术

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Identification of biomarkers in hydrosoluble extracts from spelt and wheat cultivated in different production systems

Published:2020-12-18 Issue:8 Volume:101 Page:3413-3421
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Bodroža‐Solarov Marija¹^ORCID,Grobelnik‐Mlakar Silva²,Pezo Lato³^ORCID,Keleman Svetlana⁴,Ilin Sonja⁵^ORCID,Marić Boško¹^ORCID,Filipčev Bojana¹^ORCID

Affiliation:

1. Institute of Food Technology, University of Novi Sad Novi Sad Serbia

2. Faculty of Agriculture and Life Sciences University of Maribor Maribor Slovenia

3. Institute of General and Physical Chemistry, University of Belgrade Belgrade Serbia

4. ‘Živorad Janković’ Grammar School Novi Sad Serbia

5. Institute of Field and Vegetable Crops Novi Sad Novi Sad Serbia

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.10971

Reference47 articles.

1. Analytical authentication of organic products: an overview of markers

2. Omics approaches for food authentication

3. Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems

4. A Review of Adulteration Versus Authentication of Flour

5. Characterization of the liposoluble fraction of common wheat (Triticum aestivum ) and spelt (T. aestivum ssp. spelta ) flours using multivariate analysis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Climate change and plant-based sources;Handbook of Plant-Based Food and Drinks Design;2024

2. Spelt authenticity assessment using a rapid and simple Fourier transform infrared spectroscopy (FTIR) method combined to advanced chemometrics;European Food Research and Technology;2022-10-06

3. Classification of Cereal Flour by Gas Chromatography – Mass Spectrometry (GC-MS) Liposoluble Fingerprints and Automated Machine Learning;Analytical Letters;2022-03-21

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