4.6 Review

Advances in Concentration Gradient Generation Approaches in a Microfluidic Device for Toxicity Analysis

期刊

CELLS
卷 11, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/cells11193101

关键词

microfluidic device; microdevice; concentration gradient generator; CGG; toxicity; drug screening; microdevice gradient generator

资金

  1. CNPq [308901/2020, 400856/2016-6]
  2. FAPESP [2019/21070-3, 2017/17868-4, 2016/21470-3]
  3. SisNANO 2.0/MCTIC [442539/2019-3]
  4. National Institute of Science and Technology Complex Fluids (INCT-FCx) [PIPEq-AUXP-22004]

向作者/读者索取更多资源

This systematic review analyzed the development and functionality of microfluidic concentration gradient generators (CGGs) for toxicological evaluation. The majority of articles focused on the fabrication methods, characteristics of the CGGs, biological models, and evaluation techniques. Soft lithography using PDMS material and the Christmas tree CGG design were popular choices. Imaging and microscopy techniques were commonly used for evaluating the toxic effects. CGGs showed advantages over other techniques and were applicable to various biological models.
This systematic review aimed to analyze the development and functionality of microfluidic concentration gradient generators (CGGs) for toxicological evaluation of different biological organisms. We searched articles using the keywords: concentration gradient generator, toxicity, and microfluidic device. Only 33 of the 352 articles found were included and examined regarding the fabrication of the microdevices, the characteristics of the CGG, the biological model, and the desired results. The main fabrication method was soft lithography, using polydimethylsiloxane (PDMS) material (91%) and SU-8 as the mold (58.3%). New technologies were applied to minimize shear and bubble problems, reduce costs, and accelerate prototyping. The Christmas tree CGG design and its variations were the most reported in the studies, as well as the convective method of generation (61%). Biological models included bacteria and nematodes for antibiotic screening, microalgae for pollutant toxicity, tumor and normal cells for, primarily, chemotherapy screening, and Zebrafish embryos for drug and metal developmental toxicity. The toxic effects of each concentration generated were evaluated mostly with imaging and microscopy techniques. This study showed an advantage of CGGs over other techniques and their applicability for several biological models. Even with soft lithography, PDMS, and Christmas tree being more popular in their respective categories, current studies aim to apply new technologies and intricate architectures to improve testing effectiveness and reduce common microfluidics problems, allowing for high applicability of toxicity tests in different medical and environmental models.

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