Numfon KhemthongcharoenPanapat UawithyaNutthapon YookongMayuree ChanasakulniyomWutthinan JeamsaksiriWitsaroot SripumkhaiPattaraluck PattamangEkachai JuntasaroNongluck HoungkamhangTherdthai ThienthongChamras PromptmasSiriraj HospitalKing Mongkut's University of Technology North BangkokKing Mongkut's Institute of Technology LadkrabangMahidol UniversityThailand National Electronics and Computer Technology Center2022-08-042022-08-042021-12-01Sensing and Bio-Sensing Research. Vol.34, (2021)221418042-s2.0-85116937950https://repository.li.mahidol.ac.th/handle/20.500.14594/75914Myelin oligodendrocyte glycoprotein reactive immunoglobulin G antibody (MOG-IgG) is in patients with central nervous system demyelination. Reliability of the conventional detection method relies on technician skills and pipetting error accumulation. This work develops a microfluidic system for semi-automatic MOG-IgG detection using cell-based immunofluorescence (IF) assay. The polydimethylsiloxane (PDMS) microfluidic was modified by poly-L-lysine to enhance the adhesion of Human embryonic kidney (HEK) cell. The untransfected and GFP-MOG transfected HEK cells were cultured, fixed, and stained in the microfluidic with the feeding reagents regulated by a syringe pump. Cell characterization, limit of detection (LOD), and turnaround time of the IF assay operation in microfluidic were compared to those in standard microplate. In microfluidic, cell-clumping formation can be avoided and thus signal variations that are caused by cell overlapping can be significantly reduced. LOD of MOG-IgG detection in the microfluidic is at least 2.5 times better than that in the microplate. Signal intensities of the IF staining for 1 h in microfluidic are comparable to those stained for overnight in the standard microplate. By integration with a serial dilution microfluidic, the optimal cutoff titer for MOG-IgG positivity in the patient samples was determined by Receiver operating characteristic curve (ROC) analysis.Mahidol UniversityBiochemistry, Genetics and Molecular BiologyComputer ScienceEngineeringMaterials ScienceArticleSCOPUS10.1016/j.sbsr.2021.100458