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Graphene Protein Field Effect Biomedical Sensor for Glucose Measurements

Published online by Cambridge University Press:  23 March 2015

Dorian Liepmann ,
Kiana Aran ,
Pulickel M. Ajayan ,
Sowmya Viswanathan ,
Pingzuo Li  and
V. Renugopalakrishnan
Dorian Liepmann
Affiliation:
Department of Bioengineering, University of California, Berkeley, CA 94720, USA
Kiana Aran
Affiliation:
Department of Bioengineering, University of California, Berkeley, CA 94720, USA
Pulickel M. Ajayan
Affiliation:
Department of Mechanical Engineering and Materials Science, Rice University, Houston, TX-77005, USA
Sowmya Viswanathan
Affiliation:
Newton Wellesley Hospital/ Partners Healthcare System, Newton, MA 02462, USA.
Pingzuo Li
Affiliation:
Children’s Hospital, Harvard Medical School, Center for Life Sciences, Boston, MA 02115, USA
V. Renugopalakrishnan
Affiliation:
Children’s Hospital, Harvard Medical School, Center for Life Sciences, Boston, MA 02115, USA Department of Chemistry, Center for Renewable Energy Technology, Northeastern University, Boston, MA 02115 USA.
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Abstract

The need for improved medical sensors based on lab-on-a-chip technologies has increased significantly because of the dramatic growth in the number of people with chronic diseases and the associated costs for their healthcare. Development and initial results of a hybrid plastic microfluidic device with an integrated graphene-protein biosensor chip for use in point-of-care (POC) is described. The initial prototype is a glucometer that uses optimized glucose oxidase bound to a graphene field effect sensor. Technologies required for development of the prototype include modification of the glucose oxidase for improved performance by protein engineering, methods to bind the enzyme to the graphene attached to the silicon oxide surface of sensor chip, and integration into a thermoplastic microfluidic device. Initial results indicate the prototype glucometer can measure glucose concentrations from low physiological levels to molar concentrations.

Keywords

sensorbiomedicalnanoscale
Type
Articles
Information
MRS Online Proceedings Library (OPL) , Volume 1725: Symposium I – Emerging 1D and 2D Nanomaterials in Health Care , 2015 , mrsf14-1725-i03-07
Copyright
Copyright © Materials Research Society 2015 

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References

REFERENCES

Raba, J. and Mottola, H.A., Crit. Rev. Anal. Chem., 25(1) 1–42 (1995).CrossRefGoogle Scholar
Wang, J., Chem. Rev., 108(2) 814–825 (2008).CrossRefGoogle Scholar
Park, S. and Ruoff, R.S., Nature Nanotech.,4(4) 217–224 (2009).CrossRefGoogle Scholar
Schedin, F., Geim, A. K., Morozov, S. V., Hill, E. W., Blake, P., Katsnelson, M. I., and Novoselov, K. S.. Nat Mat, 6(9) 652–655 (2007).CrossRefGoogle Scholar
Kuila, Tapas, Bose, Saswata, Khanra, Partha, Kumar Mishra, Ananta, Hoon Kim, Nam, and Lee, Joong Hee. Biosensors and Bioelectronics 26(12) 4637–48 (2011).CrossRefGoogle Scholar
Bankar, S. B., Bule, M. V., Singhal, R. S., and Ananthanarayan, L., Biotech Adv, 27(4) 489–501 (2009).CrossRefGoogle Scholar
Jonathan, D., Wen-Chi, C., and Kannan, A. M., Filipek, S., Viswanathan, S., Li, P, Renugopalakrishnan, V., and Audette, G.F., Biofabrication 5(3) 035009 (2013).Google Scholar
Pingzuo, , Anukanth, L. A., Xiu-Gong, G. I., Ilangovan, K., Suzara, V.V., Düzgüneş, N., and Renugopalakrishnan, V., Appl. Biochem. Biotechnol. 142(2) 105–124 (2007).Google Scholar
Novak, N., Ranu, A.M., and Mathies, R., Lab Chip 13(8) 1468–1471 (2013).CrossRefGoogle Scholar