Special Issue "Application Progress of Chromatographic Analytical Methods in Agriculture"
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 2668
Interests: pesticide residues in plant/animal products and environmental samples; analytical methods; environmental monitoring; pesticides; contaminants; method validation; chromatography; mass spectrometry; risk assessment
Interests: gas and liquid chromatography; tandem mass spectrometry; plant protection products; pesticide residues; plant metabolites; volatile compounds
Analytical Chemistry and particularly chromatographic analytical methods play a key role for the attainment of the UN Sustainable Development Goals that are directly or indirectly connected to Agriculture since the solution to any problem demands knowledge of the existing situation.
Chromatographic applications involve either target analysis, i.e., the development and validation of methods for the determination of known compounds, or non-targeted analysis, i.e., methods aiming at characterizing the chemical composition of complex samples, identifying unknown compounds, and/or classifying samples, without prior knowledge regarding the chemical content of the samples. Pesticide residues, heavy metals, xenobiotic compounds and other chemical substances are monitored and regulated by legislation in samples of plant origin, water, soil, air, and other agricultural by-products, as to safeguard an acceptable potential risk for human health, food safety and the environment.
Contamination of the agro-environment with pollutants applied or produced through agricultural practices, smart agriculture for food quality, determination of plant metabolites aiming to detect and/or measure plant responses under particular conditions, or confirmation of alternative approaches of agricultural practices are examples of the sectors of Agriculture in which analytical methods can applied.
This Special Issue aims to cover the wide scope of chromatographic analytical methods applied in all sectors of agriculture and include interdisciplinary studies embracing agriculture with disciplines of chemistry, biology, and engineering. Research articles are expected to cover various sample preparation procedures, chromatographic and detection techniques. Detected compounds (including metabolites, degradation products, co-formulants, impurities and volatile compounds, etc) and tested substrates can be of great variance.
All types of articles, such as original research, opinions, and reviews are welcome.
Dr. Eleftheria Bempelou
Dr. George Balayiannis
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- analytical methods
- target/non-target analysis