Application of Chromatography and Spectroscopy in Agriculture
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 2385
Special Issue Editors
Interests: infrared; nuclear magnetic resonance; mass spectrometry; chromatography; chemometrics
Special Issues, Collections and Topics in MDPI journals
Interests: infrared; nuclear magnetic resonance; mass spectrometry; chromatography; chemometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In general, due to the complexity of food composition, the use of advanced analytical techniques covering chromatography and spectroscopy analyses is necessary to achieve the most appropriate results. In agriculture, applications of chromatography and spectroscopy are as varied as the studies involving molecular conformation, compound separation and quantification, as well as improved understanding of the metabolomic networks and the subsequent biochemical variability of plants and other biological organisms under induced and natural environment influence. Several agricultural strategies have been employed to improve food quality in terms of chemical compounds and physical and physicochemical characteristics. Along with these advanced techniques, the use of multivariate statistical analysis is becoming increasingly necessary for an appropriate dataset evaluation and prediction of selected food characteristics based on agricultural practices.
This Special Issue focuses on the development of innovative chromatography and spectroscopy methods for the most appropriate evaluation of the influence of different agricultural practices on food composition or characteristics (chemical, physical and physicochemical), which can be related to industrial and consumer interest. Research articles will cover a broad range of agricultural strategies coupled to improved analytical methods. All types of articles, such as original research, opinions, and reviews, are welcome.
Prof. Dr. Elenilson de Godoy Alves Filho
Dr. Lorena Mara Alexandre e Silva
Guest Editors
Manuscript Submission Information
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Keywords
- infrared
- nuclear magnetic resonance
- mass spectrometry
- chemometrics
- fingerprinting
- machine learning
- regression analysis
- quality control
- sustainable chemistry
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