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Capillary Force-Driven Quantitative Plasma Separation Method for Application of Whole Blood Detection Microfluidic Chip.
Fang, Xiaohua; Sun, Cuimin; Dai, Peng; Xian, Zhaokun; Su, Wenyun; Zheng, Chaowen; Xing, Dong; Xu, Xiaotian; You, Hui.
Afiliação
  • Fang X; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Sun C; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Dai P; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Xian Z; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Su W; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Zheng C; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Xing D; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • Xu X; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
  • You H; School of Mechanical Engineering, Guangxi University, Nanning 530004, China.
Micromachines (Basel) ; 15(5)2024 May 01.
Article em En | MEDLINE | ID: mdl-38793192
ABSTRACT
Separating plasma or serum from blood is essential for precise testing. However, extracting precise plasma quantities outside the laboratory poses challenges. A recent study has introduced a capillary force-driven membrane filtration technique to accurately separate small plasma volumes. This method efficiently isolates 100-200 µL of pure human whole blood with a 48% hematocrit, resulting in 5-30 µL of plasma with less than a 10% margin of error. The entire process is completed within 20 min, offering a simple and cost-effective approach to blood separation. This study has successfully addressed the bottleneck in self-service POCT, ensuring testing accuracy. This innovative method shows promise for clinical diagnostics and point-of-care testing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article