使用基于GMR传感器的生物芯片原型用于诊断目的的癌细胞系的创新和敏感检测

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
A. Trillat, M. Deroo, M. Giraud, E. Fabre Paul, A. Solignac, P. Bonville, F. Coneggo, A. Afroun, M. Thévenin, A. Wijkhuisen, C. Fermon, S. Simon, A. Duret, G. Cannies, V. Padilla, F. Doucet-Populaire, G. Jasmin-Lebras and C. Féraudet-Tarisse
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引用次数: 0

摘要

近年来,发展快速、灵敏、便携和廉价的早期诊断技术一直是初级保健和急诊医学领域日益关注的焦点。我们之前已经展示了一种专利微流控生物芯片的概念验证,该芯片集成了一个基于巨磁电阻(GMR)的传感器,放置在通道的两侧,允许在连续流动模式下逐个动态检测单个磁性标记的生物靶标。在本文中,我们实现了这种两级GMR传感器,以提高该技术的准备水平,并朝着护理点(POC)分析的方向发展。我们使用含有小鼠癌细胞系的半复杂培养基样品,预先标记有功能化磁性颗粒,以详细评估生物芯片的性能。在低浓度样品中实现了靶细胞的定量检测,在2 mL / h流速下,灵敏度为5 × 102个细胞/ mL,即使在向样品中添加无关细胞后,也具有良好的特异性。最后,我们证明了这些性能与现有技术(如ELISA测试和流式细胞术分析)具有竞争力,为新的基于gmr的POC测试铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Innovative and sensitive detection of a cancer cell line using a GMR sensor-based biochip prototype for diagnosis purposes†

Innovative and sensitive detection of a cancer cell line using a GMR sensor-based biochip prototype for diagnosis purposes†

For several years now, the development of rapid, sensitive, portable and inexpensive early diagnosis techniques has been the focus of increasing attention in the healthcare field, for both primary care and emergency medicine. We have previously demonstrated the proof-of-concept of a patented microfluidic biochip integrating a giant magnetoresistance (GMR)-based sensor, placed on either side of the channel, allowing for the one-by-one dynamic detection of single magnetically labeled biological targets, in a continuous flow mode. In this article, we implemented this two-stage GMR sensor to improve the readiness level of this technology and move towards point-of-care (POC) analysis. We used semi-complex culture medium samples spiked with a murine cancer cell line, pre-labeled with functionalized magnetic particles, to evaluate the biochip performances in detail. The quantitative detection of target cells in low concentrated samples was achieved, with a sensitivity of 5 × 102 cells per mL at a 2 mL per hour flow rate and good specificity, even after addition of irrelevant cells to the sample. Finally, we demonstrated that these performances are competitive with existing techniques such as ELISA tests and flow cytometry analysis, paving the way for new GMR-based POC tests.

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CiteScore
2.30
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