Xiaotian Guan, S. Wang, Jianmin Liu, Wenqi Yang, Jianghong Huang, Peizheng Wang, Jun Zhang, Shuqing Sun
Current diagnostic methodologies are predominantly characterized by intricate procedures and reliance on expensive instrumentation, thereby limiting their applicability for point-of-care testing (POCT). In this study, a portable pressure-based visual biosensor (PVB) is developed for rapid and quantitative analysis of tumor-derived exosomes with smartphone assistance for breast cancer diagnosis. CD63 and mucin1 (MUC1) aptamers are employed to recognize exosomal membrane proteins, forming a magnetic bead (MB)-exosome-platinum nanoparticle (PtNP) sandwich complex. Through a simple inversion of the microchannel device, MUC1-positive exosomes can be quantitatively detected by measuring the displacement of the stained substrate, which is positively correlated to the oxygen (O 2 ) generated through PtNP-catalyzed decomposition of hydrogen peroxide (H 2 O 2 ). This strategy enables efficient analysis of MUC1-positive exosomes within 25 min using smartphone imaging, demonstrating a limit of detection (LOD) of 496 particles/μL. Clinical trial results revealed that this method effectively differentiated breast cancer patients from healthy controls, achieving a diagnostic concordance rate of 84.62%. In addition to advantages such as being instrument-free, user-friendly, and lowcost, this technique can be quickly extended and provides a practical approach to the rapid analysis of various biomarkers.