Miniaturization and Automation in Green Sample Preparation

Author:

Jiménez-Skrzypek G.12,González-Sálamo J.123,Hernández-Borges J.12

Affiliation:

1. Departamento de Química, Unidad Departamental de Química Analítica, Facultad de Ciencias Universidad de La Laguna (ULL), Avda. Astrofísico Fco. Sánchez, s/n 38206 San Cristóbal de La Laguna Spain jhborges@ull.edu.es

2. Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias Universidad de La Laguna (ULL), Avda. Astrofísico Fco. Sánchez, s/n 38206 San Cristóbal de La Laguna Spain

3. Department of Chemistry Sapienza University of Rome, P.le Aldo Moro, 5 00185 Rome Italy

Abstract

Amongst the different steps of any analytical procedure, sample preparation is considered to be one of the most critical. Currently, efforts are centred in the development of miniaturized extraction techniques, which make use of efficient extraction sorbents/solvents and reduce organic solvent and/or energy consumption, following the principles of Green Analytical Chemistry (GAC). Extraction techniques can be divided into sorbent- and solvent-based approaches, each one of them with numerous variants which allow a wide range of applications in different fields. In the first case, solid-phase microextraction and micro-solid-phase extraction are the two main types, whereas solvent-based microextraction techniques are mainly subdivided into single-drop microextraction, hollow-fibre liquid-phase microextraction, and dispersive liquid–liquid microextraction. Interestingly, many efforts have been made with the objective of achieving full/partial automation of these extraction techniques to overcome many of the issues that arise from human errors. Overall, although both solvent- and sorbent-based techniques have been automated, sorbent-based ones are still ahead; nonetheless, solvent-based extraction techniques have seen an important increase in momentum in recent years.

Publisher

The Royal Society of Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3