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Conductive and enzyme-like silk fibers for soft sensing application

Singh, Manish LU ; Bollella, Paolo ; Gorton, Lo LU ; Dey, Estera S. LU and Dicko, Cedric LU orcid (2020) In Biosensors and Bioelectronics 150. p.1-7
Abstract

A combination of supercritical carbon dioxide (scCO2) impregnation of pyrrole and sonochemical transformation of permanganate (KMnO4) was used to impart conductive and catalytic properties to silk fibers. The results indicated that the conductivity (from polypyrrole –PPy) and catalytic activities (from manganese dioxide –MnO2) were independent and complementary within the processing parameters used. The enhanced conductivity was attributed to scCO2 preferentially distributing the pyrrole monomers along with the silk internal fibrillar structure and hence, yielding a more linear PPy. The oxidative properties of the PPy-MnO2-silk hybrid showed an enzyme-like behavior for the... (More)

A combination of supercritical carbon dioxide (scCO2) impregnation of pyrrole and sonochemical transformation of permanganate (KMnO4) was used to impart conductive and catalytic properties to silk fibers. The results indicated that the conductivity (from polypyrrole –PPy) and catalytic activities (from manganese dioxide –MnO2) were independent and complementary within the processing parameters used. The enhanced conductivity was attributed to scCO2 preferentially distributing the pyrrole monomers along with the silk internal fibrillar structure and hence, yielding a more linear PPy. The oxidative properties of the PPy-MnO2-silk hybrid showed an enzyme-like behavior for the degradation of hydrogen peroxide (H2O2) with a Km of about 13 mM and specific activity of 1470 ± 75 μmol/min/g. Finally, we demonstrated that the PPy-MnO2-silk hybrid could be used as soft working electrodes for the simultaneous degradation and detection of H2O2.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Artificial enzyme, Conductive fiber, Silk fiber, Soft sensor, Sonication, Supercritical fluid impregnation
in
Biosensors and Bioelectronics
volume
150
article number
111859
pages
1 - 7
publisher
Elsevier
external identifiers
  • scopus:85075416704
  • pmid:31744649
ISSN
0956-5663
DOI
10.1016/j.bios.2019.111859
language
English
LU publication?
yes
id
d360d62c-8017-4feb-9877-bc5709a4176d
date added to LUP
2019-12-04 15:42:42
date last changed
2024-06-26 07:01:05
@article{d360d62c-8017-4feb-9877-bc5709a4176d,
  abstract     = {{<p>A combination of supercritical carbon dioxide (scCO<sub>2</sub>) impregnation of pyrrole and sonochemical transformation of permanganate (KMnO<sub>4</sub>) was used to impart conductive and catalytic properties to silk fibers. The results indicated that the conductivity (from polypyrrole –PPy) and catalytic activities (from manganese dioxide –MnO<sub>2</sub>) were independent and complementary within the processing parameters used. The enhanced conductivity was attributed to scCO<sub>2</sub> preferentially distributing the pyrrole monomers along with the silk internal fibrillar structure and hence, yielding a more linear PPy. The oxidative properties of the PPy-MnO<sub>2</sub>-silk hybrid showed an enzyme-like behavior for the degradation of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) with a K<sub>m</sub> of about 13 mM and specific activity of 1470 ± 75 μmol/min/g. Finally, we demonstrated that the PPy-MnO<sub>2</sub>-silk hybrid could be used as soft working electrodes for the simultaneous degradation and detection of H<sub>2</sub>O<sub>2</sub>.</p>}},
  author       = {{Singh, Manish and Bollella, Paolo and Gorton, Lo and Dey, Estera S. and Dicko, Cedric}},
  issn         = {{0956-5663}},
  keywords     = {{Artificial enzyme; Conductive fiber; Silk fiber; Soft sensor; Sonication; Supercritical fluid impregnation}},
  language     = {{eng}},
  pages        = {{1--7}},
  publisher    = {{Elsevier}},
  series       = {{Biosensors and Bioelectronics}},
  title        = {{Conductive and enzyme-like silk fibers for soft sensing application}},
  url          = {{http://dx.doi.org/10.1016/j.bios.2019.111859}},
  doi          = {{10.1016/j.bios.2019.111859}},
  volume       = {{150}},
  year         = {{2020}},
}