4.8 Review

Sample Preparation for Lab-on-a-Chip Systems in Molecular Diagnosis: A Review

Journal

ANALYTICAL CHEMISTRY
Volume 94, Issue 1, Pages 41-58

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.1c04460

Keywords

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Funding

  1. Fiotec [VPPIS-004-FIO-18-40, VPPIS-005-FIO-20-2-19]
  2. Brazilian National Council for Scientifc and Technological Development (CNPq) [442329/2019-9]
  3. Fiocruz

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Rapid and low-cost molecular analysis is crucial for early and specific diagnostics. Automated molecular diagnostic devices, such as sample-to-answer microfluidic devices, promise a complete molecular diagnosis system. The extraction process in such devices is laborious but important for sensitive and specific detection. Thus, researching automated or semiautomated extraction methodologies is beneficial for improving extraction procedures.
Rapid and low-cost molecular analysis is especially required for early and specific diagnostics, quick decision-making, and sparing patients from unnecessary tests and hospitals from extra costs. One way to achieve this objective is through automated molecular diagnostic devices. Thus, sample-to-answer microfluidic devices are emerging with the promise of delivering a complete molecular diagnosis system that includes nucleic acid extraction, amplification, and detection steps in a single device. The biggest issue in such equipment is the extraction process, which is normally laborious and time-consuming but extremely important for sensitive and specific detection. Therefore, this Review focuses on automated or semiautomated extraction methodologies used in lab-on-a-chip devices. More than 15 different extraction methods developed over the past 10 years have been analyzed in terms of their advantages and disadvantages to improve extraction procedures in future studies. Herein, we are able to explain the high applicability of the extraction methodologies due to the large variety of samples in which different techniques were employed, showing that their applications are not limited to medical diagnosis. Moreover, we are able to conclude that further research in the field would be beneficial because the methodologies presented can be affordable, portable, time efficient, and easily manipulated, all of which are strong qualities for point-of-care technologies.

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