Hit or Miss: Sensor Design via Scaled Collision Theory
Publication: Journal of Engineering Mechanics
Volume 144, Issue 9
Abstract
The working characteristics of targeted surface sensing systems—such as fluid velocity and concentration limits—have mostly been explored through experimental trials. Here we develop a novel scaled collision theory to facilitate the experimental screening process in determining the optimal system parameters specific to sensing discrete molecular or particulate targets with low concentration in a bulk fluid system, such as biomarkers, pollutants, or explosives. A simple fluid sensor system was developed and subjected to steady-state Couette flow to explore key parameters. Validated by 177 particle-based coarse-grain simulations, this theory indicates that the chance of successful pairing events between molecular markers and its corresponding targets—or hits—is determined by their concentrations, binding affinity or energy, and more importantly the flow velocity. Scaled collision theory reveals great potential to be used as a system design tool for a wide spectrum of sensing applications, ranging from water and air quality monitoring to biomedical detection and disease diagnostics.
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Acknowledgments
W.Z., S.N., M.W., and S.W.C. acknowledge funding from Northeastern University’s (NEU’s) FY15 TIER 1 Interdisciplinary Research Seed Grant. S.W.C. acknowledges generous support from NEU’s Civil and Environmental Engineering (CEE) Department. The calculations and the analysis were carried out using a parallel Linux cluster at NEU’s Laboratory for Nanotechnology In Civil Engineering (NICE). Visualization has been carried out using the VMD visualization package.
References
Bialik, R. J. 2011. “Particle–particle collision in Lagrangian modelling of saltating grains.” J. Hydraul. Res. 49 (1): 23–31. https://doi.org/10.1080/00221686.2010.543778.
Cao, J., J. Seegmiller, N. Q. Hanson, C. Zaun, and D. N. Li. 2015. “A microfluidic multiplex proteomic immunoassay device for translational research.” Clin. Proteom. 12 (1): 28. https://doi.org/10.1186/s12014-015-9101-x.
Cate, D. M., J. A. Adkins, J. Mettakoonpitak, and C. S. Henry. 2015. “Recent developments in paper-based microfluidic devices.” Anal. Chem. 87 (1): 19–41. https://doi.org/10.1021/ac503968p.
Chu, C. H., W. H. Chang, W. J. Kao, C. L. Lin, K. W. Chang, Y. L. Wang, and G. B. Lee. 2015. “An integrated microfluidic system with field-effect-transistor-based biosensors for automatic highly-sensitive C-reactive protein measurement.” In Proc., 28th IEEE Int. Conf. on Micro Electro Mechanical Systems (MEMS), 581–584. New York: IEEE.
Dawoud, A. A., T. Kawaguchi, and R. Jankowiak. 2007. “In-channel modification of electrochemical detector for the detection of bio-targets on microchip.” Electrochem. Commun. 9 (7): 1536–1541. https://doi.org/10.1016/j.elecom.2007.02.016.
Dixit, C. K., and A. Kaushik. 2012. “Nano-structured arrays for multiplex analyses and lab-on-a-chip applications.” Biochem. Biophys. Res. Commun. 419 (2): 316–320. https://doi.org/10.1016/j.bbrc.2012.02.018.
Engel, Y., R. Elnathan, A. Pevzner, G. Davidi, E. Flaxer, and F. Patolsky. 2010. “Supersensitive detection of explosives by silicon nanowire arrays.” Angewandte Chemie Int. Ed. 49 (38): 6830–6835. https://doi.org/10.1002/anie.201000847.
Gompper, G., T. Ihle, D. M. Kroll, and R. G. Winkler. 2009. “Multi-particle collision dynamics: A particle-based mesoscale simulation approach to the hydrodynamics of complex fluids.” Vol. 221 of Advanced computer simulation approaches for soft matter sciences III. Advances in polymer science, edited by C. Holm and K. Kremer, 1–87. Berlin, Heidelberg: Springer.
Gowers, S. A. N., V. F. Curto, C. A. Seneci, C. Wang, S. Anastasova, P. Vadgama, G. Z. Yang, and M. G. Boutelle. 2015. “3D printed microfluidic device with integrated biosensors for online analysis of subcutaneous human microdialysate.” Anal. Chem. 87 (15): 7763–7770. https://doi.org/10.1021/acs.analchem.5b01353.
IUPAC (International Union of Pure and Applied Chemistry). 1997. Compendium of chemical terminology. 2nd ed. Oxford, UK: Blackwell Scientific Publications.
Jung, W., A. Jang, P. L. Bishop, and C. H. Ahn. 2011. “A polymer lab chip sensor with microfabricated planar silver electrode for continuous and on-site heavy metal measurement.” Sensors Actuators B. 155 (1): 145–153. https://doi.org/10.1016/j.snb.2010.11.039.
Kapral, R. 2008. “Multiparticle collision dynamics: Simulation of complex systems on mesoscales.” Vol. 140 of Advances in chemal physics, edited by S. A. Rice, 89–146. New York: Wiley.
Ko, Y. J., J. H. Maeng, Y. Ahn, S. Y. Hwang, N. G. Cho, and S. H. Lee. 2008. “Microchip-based multiplex electro-immunosensing system for the detection of cancer biomarkers.” Electrophoresis 29 (16): 3466–3476. https://doi.org/10.1002/elps.200800139.
Kumar, S., S. Kumar, M. A. Ali, P. Anand, V. V. Agrawal, R. John, S. Maji, and B. D. Malhotra. 2013. “Microfluidic-integrated biosensors: Prospects for point-of-care diagnostics.” Biotechnol. J. 8 (11): 1267–1279. https://doi.org/10.1002/biot.201200386.
Lee, J. U., A. H. Nguyen, and S. J. Sim. 2015. “A nanoplasmonic biosensor for label-free multiplex detection of cancer biomarkers.” Biosens. Bioelectron. 74: 341–346. https://doi.org/10.1016/j.bios.2015.06.059.
Lefevre, F., A. Chalifour, L. Yu, V. Chodavarapu, P. Juneau, and R. Izquierdo. 2012. “Algal fluorescence sensor integrated into a microfluidic chip for water pollutant detection.” Lab Chip. 12 (4): 787–793. https://doi.org/10.1039/C2LC20998E.
Lewis, W. 1918. A system of physical chemistry. London: Longmans, Green and Co.
Lisowski, P., and P. K. Zarzycki. 2013. “Microfluidic paper-based analytical devices () and micro total analysis systems (): Development, applications and future trends.” Chromatographia 76 (19–20): 1201–1214. https://doi.org/10.1007/s10337-013-2413-y.
Mark, D., S. Haeberle, G. Roth, F. von Stetten, and R. Zengerle. 2010. “Microfluidic lab-on-a-chip platforms: Requirements, characteristics and applications.” Chem. Soc. Rev. 39 (3): 1153–1182. https://doi.org/10.1039/b820557b.
Marle, L., and G. M. Greenway. 2005. “Microfluidic devices for environmental monitoring.” Trac-Trend Anal. Chem. 24 (9): 795–802. https://doi.org/10.1016/j.trac.2005.08.003.
Meredith, N. A., C. Quinn, D. M. Cate, T. H. Reilly, J. Volckens, and C. S. Henry. 2016. “Paper-based analytical devices for environmental analysis.” Analyst 141 (6): 1874–1887. https://doi.org/10.1039/C5AN02572A.
Padding, J. T., and W. J. Briels. 2002. “Time and length scales of polymer melts studied by coarse-grained molecular dynamics simulations.” J. Chem. Phys. 117 (2): 925–943. https://doi.org/10.1063/1.1481859.
Peters, K. L., I. Corbin, L. M. Kaufman, K. Zreibe, L. Blanes, and B. R. McCord. 2015. “Simultaneous colorimetric detection of improvised explosive compounds using microfluidic paper-based analytical devices ().” Anal. Methods. 7 (1): 63–70. https://doi.org/10.1039/C4AY01677G.
Plimpton, S. 1995. “Fast parallel algorithms for short-range molecular dynamics.” J. Comput. Phys. 117 (1): 1–19. https://doi.org/10.1006/jcph.1995.1039.
Schlichting, H. 1955. Boundary layer theory. New York: McGraw-Hill.
Trautz, M. 1916. “Das Gesetz der Reaktionsgeschwindigkeit und der Gleichgewichte in Gasen. Bestätigung der Additivität von Cv-3/2R. Neue Bestimmung der Integrationskonstanten und der Moleküldurchmesser.” Zeitschrift für anorganische und allgemeine Chemie 96 (1): 1–28. https://doi.org/10.1002/zaac.19160960102.
Wiener, N. 1921. “The average of an analytic functional and the Brownian movement.” Proc. Natl. Acad. Sci. U.S.A. 7 (10): 294–298. https://doi.org/10.1073/pnas.7.10.294.
Yeo, L. Y., H. C. Chang, P. P. Y. Chan, and J. R. Friend. 2011. “Microfluidic devices for bioapplications.” Small 7 (1): 12–48. https://doi.org/10.1002/smll.201000946.
Zhang, W., Y. Du, and M. L. Wang. 2015a. “Noninvasive glucose monitoring using saliva nano-biosensor.” Sens. Bio-Sens. Res. 4: 23–29. https://doi.org/10.1016/j.sbsr.2015.02.002.
Zhang, W., Y. Du, and M. L. Wang. 2015b. “On-chip highly sensitive saliva glucose sensing using multilayer films composed of single-walled carbon nanotubes, gold nanoparticles, and glucose oxidase.” Sens. Bio-Sens. Res. 4: 96–102. https://doi.org/10.1016/j.sbsr.2015.04.006.
Zhang, W., M. L. Wang, S. Khalili, and S. W. Cranford. 2016. “Materiomics for oral disease diagnostics and personal health monitoring: Designer biomaterials for the next generation biomarkers.” Omics J. Integr. Biol. 20 (1): 12–29. https://doi.org/10.1089/omi.2015.0144.
Zhao, X. Y., and T. Dong. 2013. “A microfluidic device for continuous sensing of systemic acute toxicants in drinking water.” Int. J. Environ. Res. Pub. Health 10 (12): 6748–6763. https://doi.org/10.3390/ijerph10126748.
Zhou, Q., D. Patel, T. Kwa, A. Haque, Z. Matharu, G. Stybayeva, Y. D. Gao, A. M. Diehl, and A. Revzin. 2015. “Liver injury-on-a-chip: Microfluidic co-cultures with integrated biosensors for monitoring liver cell signaling during injury.” Lab Chip 15 (23): 4467–4478. https://doi.org/10.1039/C5LC00874C.
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©2018 American Society of Civil Engineers.
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Received: Nov 8, 2017
Accepted: Jan 31, 2018
Published online: Jun 20, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 20, 2018
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