Academic Journal
A Self-Marangoni-Propelled Droplet Microarray for Ultrafast Mixing and Point-of-Care Assay of Acute Myocardial Infarction Biomarkers.
| Τίτλος: | A Self-Marangoni-Propelled Droplet Microarray for Ultrafast Mixing and Point-of-Care Assay of Acute Myocardial Infarction Biomarkers. |
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| Συγγραφείς: | Gao H; State Key Laboratory of Bioinspired Interfacial Materials Science, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou215123, P. R. China.; Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing100083, P. R. China., Wu M; Department of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing100044, P. R. China., Yang Y; Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing100083, P. R. China., Liu Z; Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing100083, P. R. China., Liu M; State Key Laboratory of Bioinspired Interfacial Materials Science, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou215123, P. R. China., Liu J; Department of Otolaryngology-Head and Neck Surgery, Peking University First Hospital, Beijing100034, P. R. China., Wan X; Laboratory of Bio-Inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing100190, P. R. China., Chen H; Department of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing100044, P. R. China., Xu LP; Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing100083, P. R. China. |
| Πηγή: | Analytical chemistry [Anal Chem] 2026 Oct 13; Vol. 98 (40), pp. 29342-29353. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Washington, American Chemical Society. |
| Ιατρικοί όροι (MeSH): | Myocardial Infarction*/diagnosis , MicroRNAs*/analysis , Microarray Analysis*/methods , Point-of-Care Systems*, Biomarkers/analysis ; Humans |
| Περίληψη: | Droplet microarrays hold great promise for acute myocardial infarction (AMI) diagnosis, yet their biosensing performance is often limited by poor mixing efficiency and nonuniform signal distribution. Here, we report a self-Marangoni-propelled droplet microarray featuring a hydrophobic background, superhydrophilic rings, and hydrophilic cores, enabling solute homogenization and rapid biomarker detection. Continuous water replenishment at the droplet edge creates stable surface tension gradients, driving strong three-dimensional (3D) Marangoni convection and effectively suppressing the coffee-ring effect induced by outward capillary flow. Flow visualization and theoretical analysis reveal that this 3D Marangoni convection not only enhances the internal flow velocity but also fundamentally reconfigures the dominant mass transport direction, achieving an ∼8.7-fold increase in solute mixing efficiency compared with conventional patterned chips. For microRNAs (miRNAs) detection, the platform accelerates hybridization kinetics by ∼17.3-fold, improves sensitivity by ∼500-fold, and lowers the detection limit to 1.0 fM. Further integrated with time-series deep learning algorithms, it achieves accurate identification of AMI patients within 5 min, enabling rapid and precise AMI diagnosis. This convection-generation approach could be readily extended to create versatile droplet-array platforms for combinatorial chemical synthesis, nanomaterial fabrication, and drug combination testing, holding promise for diverse applications beyond biosensing. (© 2026 American Chemical Society.) |
| Grant Information: | 22375016 National Natural Science Foundation of China; 22575258 National Natural Science Foundation of China; 2019YFA0709300 National Key R&D Program of China; 2182036 Beijing Municipal Science and Technology Commission; GZNL2024A03011 Major Project of Guangzhou National Laboratory |
| Substance Nomenclature: | 0 (Biomarkers) 0 (MicroRNAs) |
| Entry Date(s): | Date Created: 20261023 Date Completed: 20261023 Latest Revision: 20261023 |
| Update Code: | 20261024 |
| DOI: | 10.1021/acs.analchem.6c04001 |
| PMID: | 42916118 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1520-6882 |
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| DOI: | 10.1021/acs.analchem.6c04001 |