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Innovative Extraction Technique and Hyphenated Instrument Configuration for Complex Matrix Analysis

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 1793

Special Issue Editor

Department of Pharmacy, University “G. d\'Annunzio” of Chieti and Pescara, Chieti, Italy
Interests: innovative (micro)extraction procedures; hyphenated instrument configurations; bioactive compounds; characterization; fingerprints; method validation; HPLC; mass spectrometry; biological matrices; chromatography; analytical chemistry; sample preparation; green analytical methodologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Innovative analytical instrument configurations are needed to fully characterize xenobiotics and biologically active principles. Analytical procedures today allow us to obtain a much closer accuracy (precision and trueness) and, consequently, correct information about these compounds, the composition of a complex sample, the physicochemical properties, etc. In recent years, new systems have been developed and applied in several fields, such as environmental, biological, forensic, pharmaceutical, and alimentary, which allow scientists to acquire relevant information even when complex matrices are analyzed.

This Special Issue will highlight and describe the latest improvements in instrument configurations, techniques developed, and particularly, innovative statistical approaches applied to analyze the data.

Greater attention will be given to recent developments in sample preparation and extraction techniques, modern detection techniques, and statistical approaches (for both data elaboration and the planning and design of experiments), all with the main target to improve the sensitivity and the selectivity of the proposed method, eliminate false information, search for outliers, etc.

Dr. Marcello Locatelli
Guest Editor

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. Molecules is an international peer-reviewed open access semimonthly 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 2700 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.

Keywords

  • hyphenated techniques and instrument configurations
  • (micro)extraction procedures
  • food and food supplement analyses
  • medicinal plants and fungi
  • complex matrices
  • biological analyses
  • chemometric approaches

Published Papers (1 paper)

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Research

18 pages, 2195 KiB  
Article
Matrix Effects in GC–MS Profiling of Common Metabolites after Trimethylsilyl Derivatization
Molecules 2023, 28(6), 2653; https://doi.org/10.3390/molecules28062653 - 15 Mar 2023
Cited by 1 | Viewed by 1478
Abstract
Metabolite profiling using gas chromatography coupled to mass spectrometry (GC–MS) is one of the most frequently applied and standardized methods in research projects using metabolomics to analyze complex samples. However, more than 20 years after the introduction of non-targeted approaches using GC–MS, there [...] Read more.
Metabolite profiling using gas chromatography coupled to mass spectrometry (GC–MS) is one of the most frequently applied and standardized methods in research projects using metabolomics to analyze complex samples. However, more than 20 years after the introduction of non-targeted approaches using GC–MS, there are still unsolved challenges to accurate quantification in such investigations. One particularly difficult aspect in this respect is the occurrence of sample-dependent matrix effects. In this project, we used model compound mixtures of different compositions to simplify the study of the complex interactions between common constituents of biological samples in more detail and subjected those to a frequently applied derivatization protocol for GC–MS analysis, namely trimethylsilylation. We found matrix effects as signal suppression and enhancement of carbohydrates and organic acids not to exceed a factor of ~2, while amino acids can be more affected. Our results suggest that the main reason for our observations may be an incomplete transfer of carbohydrate and organic acid derivatives during the injection process and compound interaction at the start of the separation process. The observed effects were reduced at higher target compound concentrations and by using a more suitable injection-liner geometry. Full article
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