Evaluation of in-flow magnetoresistive chip Cell—counter as a diagnostic tool

Manon Giraud (1, 2) , François-Damien Delapierre (1) , Anne Wijkhuisen (2, 3, 4) , Pierre Bonville (1) , Mathieu Thevenin (1) , Gregory Cannies (1) , Marc Plaisance (2, 3, 4) , Elodie Paul (1) , Eric Ezan (5, 3) , Stéphanie Simon (2, 3, 4) , Claude M Fermon (1) , Cecile Féraudet-Tarisse (2, 3, 4) , Guenaelle Jasmin-Lebras (1)

1 LNO - Laboratoire Nano-Magnétisme et Oxydes
2 LERI - Laboratoire d'Etudes et de Recherches en Immunoanalyses
3 MTS - Médicaments et Technologies pour la Santé
4 SPI - Service de Pharmacologie et Immunoanalyse
5 DRF (CEA) - Direction de Recherche Fondamentale (CEA)

Inexpensive simple medical devices allowing fast and reliable counting of whole cells are of interest for diagnosis and treatment monitoring. Magnetic-based labs on a chip are one of the possibilities currently studied to address this issue. Giant magnetoresistance (GMR) sensors offer both great sensitivity and device integrability with microfluidics and electronics. When used on a dynamic system, GMR-based biochips are able to detect magnetically labeled individual cells. In this article, a rigorous evaluation of the main characteristics of this magnetic medical device (specificity, sensitivity, time of use and variability) are presented and compared to those of both an ELISA test and a conventional flow cytometer, using an eukaryotic malignant cell line model in physiological conditions (NS1 murine cells in phosphate buffer saline). We describe a proof of specificity of a GMR sensor detection of magnetically labeled cells. The limit of detection of the actual system was shown to be similar to the ELISA one and 10 times higher than the cytometer one.

Domaines: Physique [physics]; Matière Condensée [cond-mat]; Sciences du Vivant [q-bio]; Biotechnologies; Cancer; Immunologie

Manon Giraud, François-Damien Delapierre, Anne Wijkhuisen, Pierre Bonville, Mathieu Thevenin, et al.. Evaluation of in-flow magnetoresistive chip Cell—counter as a diagnostic tool. Biosensors, 2019, 9 (3), pp.105. ⟨10.3390/bios9030105⟩. ⟨cea-02298944⟩