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Dataset for "Non-invasive, 3D printed, colourimetric, early wound-infection indicator"
Andrew Mills
(Creator)
Dilidaer Yusufu
(Creator)
Brendan Gilmore
(Creator)
Erin Magee
(Creator)
School of Chemistry and Chemical Engineering
Material and Advanced Technologies for Healthcare
Sensors
School of Pharmacy
Institute for Global Food Security
Dataset
Overview
Research output
(1)
Research output
Research output per year
2022
2022
2022
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2022
Non-invasive, 3D printed, colourimetric, early wound-infection indicator
Yusufu, D., Magee, E.,
Gilmore, B.
&
Mills, A.
,
04 Jan 2022
,
In:
Chemical Communications.
58
,
3
,
p. 439-442
4 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Indicator
100%
Wound Infection
100%
Carbon Dioxide
40%
Infection
20%
Color
20%
7
Citations (Scopus)
98
Downloads (Pure)