Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes

Gili Bisker, Naveed A. Bakh, Michael A. Lee, Jiyoung Ahn, Minkyung Park, Ellen B. O'Connell, Nicole M Iverson, Michael S. Strano

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Corona phase molecular recognition (CoPhMoRe) is a technique whereby an external, adsorbed phase around a colloidal nanoparticle is selected such that its molecular conformation or interaction recognizes a specific target analyte. In this work, we employ a high-throughput screening of a library of poly(ethylene glycol) (PEG)-conjugated lipids adsorbed onto near-infrared fluorescent single-walled carbon nanotubes to discover a corona phase selective for insulin. We find that a C16-PEG(2000 Da)-ceramide causes a 62% fluorescent intensity decrease of the (10,2) chirality nanotube in the presence of 20 μg/mL insulin. The insulin protein has no prior affinity toward the C16-PEG(2000 Da)-ceramide molecules in free solution, verified by isothermal titration calorimetry, and the interaction occurs only upon their adsorption onto the single-walled carbon nanotube scaffolds. Testing a panel of proteins originating from human blood as well as short 7 amino acid fragments of the insulin peptide rules out nonselective recognition mechanisms such as molecular weight, isoelectric point, and hydrophobicity-based detection. Interestingly, longer fragments of isolated α- and β-peptide chains of insulin are detected by the construct, albeit with lower affinity compared to that of the intact insulin protein, suggesting that the construct recognizes insulin in its native form and conformation. Finally, the insulin recognition and the quantification of its solution concentration were demonstrated both in buffer and in blood serum, showing that the CoPhMoRe construct works in this complex environment despite the presence of potential nonspecific adsorption. Our results further motivate the search for nonbiological synthetic recognition sites and open up a new path for continuous insulin monitoring in vivo with the hope of improving glycemic control in closed-loop artificial pancreas systems.

Original languageEnglish (US)
Pages (from-to)367-377
Number of pages11
JournalACS Sensors
Volume3
Issue number2
DOIs
StatePublished - Feb 23 2018

Fingerprint

Molecular recognition
insulin
Insulin
Single-walled carbon nanotubes (SWCN)
coronas
carbon nanotubes
Polyethylene glycols
Ceramides
proteins
Proteins
Peptides
peptides
affinity
Conformations
Blood
fragments
blood serum
Adsorption
pancreas
adsorption

Keywords

  • fluorescent nanosensors
  • high-throughput screening
  • insulin
  • molecular recognition
  • single-walled carbon nanotubes

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

Cite this

Bisker, G., Bakh, N. A., Lee, M. A., Ahn, J., Park, M., O'Connell, E. B., ... Strano, M. S. (2018). Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes. ACS Sensors, 3(2), 367-377. https://doi.org/10.1021/acssensors.7b00788

Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes. / Bisker, Gili; Bakh, Naveed A.; Lee, Michael A.; Ahn, Jiyoung; Park, Minkyung; O'Connell, Ellen B.; Iverson, Nicole M; Strano, Michael S.

In: ACS Sensors, Vol. 3, No. 2, 23.02.2018, p. 367-377.

Research output: Contribution to journalArticle

Bisker, G, Bakh, NA, Lee, MA, Ahn, J, Park, M, O'Connell, EB, Iverson, NM & Strano, MS 2018, 'Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes', ACS Sensors, vol. 3, no. 2, pp. 367-377. https://doi.org/10.1021/acssensors.7b00788
Bisker, Gili ; Bakh, Naveed A. ; Lee, Michael A. ; Ahn, Jiyoung ; Park, Minkyung ; O'Connell, Ellen B. ; Iverson, Nicole M ; Strano, Michael S. / Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes. In: ACS Sensors. 2018 ; Vol. 3, No. 2. pp. 367-377.
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