Literature DB >> 24442008

Re-exploring the high-throughput potential of microextraction techniques, SPME and MEPS, as powerful strategies for medical diagnostic purposes. Innovative approaches, recent applications and future trends.

Jorge Pereira1, Catarina Luís Silva, Rosa Perestrelo, João Gonçalves, Vera Alves, José S Câmara.   

Abstract

The human population continues to grow exponentially in the fast developing and most populated countries, whereas in Western Europe it is getting older and older each year. This inevitably raises the demand for better and more efficient medical services without increasing the economic burden in the same proportion. To meet these requirements, improvement of medical diagnosis is certainly a key aspect to consider. Therefore, we need powerful analytical methodologies able to go deeper and further in the characterization of human metabolism and identification of disease biomarkers and endogenous molecules in body fluids and tissues. The ultimate goal is to have a reliable and early medical diagnosis, mitigating the disease complications as much as possible. Microextraction techniques (METs) represent a key step in these analytical methodologies by providing samples in the suitable volumes and purification levels necessary for the characterization of the target analytes. In this aspect, solid-phase microextraction (SPME) and, more recently, microextraction by packed sorbent (MEPS), are powerful sample preparation techniques, characterized by their reduced time of analysis, low solvent consumption, and broad application. Moreover, as miniaturized techniques, they can be easily automatized to have a high-throughput performance in the clinical environment. In this review, we explore some of the most interesting MEPS and SPME applications, focusing on recent trends and applications to medical diagnostic, particularly the in vivo and near real time applications.

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Mesh:

Year:  2014        PMID: 24442008     DOI: 10.1007/s00216-013-7527-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  8 in total

Review 1.  Coupling Front-End Separations, Ion Mobility Spectrometry, and Mass Spectrometry For Enhanced Multidimensional Biological and Environmental Analyses.

Authors:  Xueyun Zheng; Roza Wojcik; Xing Zhang; Yehia M Ibrahim; Kristin E Burnum-Johnson; Daniel J Orton; Matthew E Monroe; Ronald J Moore; Richard D Smith; Erin S Baker
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2017-02-23       Impact factor: 10.745

2.  Solid-phase microextraction technology for in vitro and in vivo metabolite analysis.

Authors:  Qihui Zhang; Liandi Zhou; Hua Chen; Chong-Zhi Wang; Zhining Xia; Chun-Su Yuan
Journal:  Trends Analyt Chem       Date:  2016-06       Impact factor: 12.296

3.  Rapid in vitro differentiation of bacteria by ion mobility spectrometry.

Authors:  Isabel Steppert; Jessy Schönfelder; Carolyn Schultz; Dirk Kuhlmeier
Journal:  Appl Microbiol Biotechnol       Date:  2021-05-11       Impact factor: 4.813

4.  Microextraction by Packed Sorbent (MEPS) and Solid-Phase Microextraction (SPME) as Sample Preparation Procedures for the Metabolomic Profiling of Urine.

Authors:  Catarina Silva; Carina Cavaco; Rosa Perestrelo; Jorge Pereira; José S Câmara
Journal:  Metabolites       Date:  2014-01-27

Review 5.  Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview.

Authors:  Jorge Pereira; Priscilla Porto-Figueira; Carina Cavaco; Khushman Taunk; Srikanth Rapole; Rahul Dhakne; Hampapathalu Nagarajaram; José S Câmara
Journal:  Metabolites       Date:  2015-01-09

Review 6.  Unravelling the Potential of Salivary Volatile Metabolites in Oral Diseases. A Review.

Authors:  Jorge A M Pereira; Priscilla Porto-Figueira; Ravindra Taware; Pritam Sukul; Srikanth Rapole; José S Câmara
Journal:  Molecules       Date:  2020-07-07       Impact factor: 4.411

7.  Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method.

Authors:  Jorge Freitas; Paulo Vaz-Pires; José S Câmara
Journal:  Molecules       Date:  2019-09-29       Impact factor: 4.411

8.  Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer.

Authors:  Khushman Taunk; Priscilla Porto-Figueira; Jorge A M Pereira; Ravindra Taware; Nattane Luíza da Costa; Rommel Barbosa; Srikanth Rapole; José S Câmara
Journal:  Metabolites       Date:  2022-01-04
  8 in total

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