Nano-Graphene Oxide Based Multichannel Sensor Arrays towards Sensing of Protein Mixtures.
FRET efficiency
array-based sensing
linear discriminant analysis (LDA)
nano-graphene oxide
protein sensing
Journal
Chemistry, an Asian journal
ISSN: 1861-471X
Titre abrégé: Chem Asian J
Pays: Germany
ID NLM: 101294643
Informations de publication
Date de publication:
15 Feb 2019
15 Feb 2019
Historique:
received:
29
11
2018
revised:
27
12
2018
pubmed:
3
1
2019
medline:
12
3
2019
entrez:
3
1
2019
Statut:
ppublish
Résumé
Optical array-based sensors are attractive candidates for the detection of various bio-analytes due to their convenient fabrication and measurements. For array-based sensors, multichannel arrays are more advantageous and used frequently in many electronic sensors. But most reported optically array based sensors are constructed on a single channel array. This difficulty is mainly instigated from the overlap in optical responses. In this report we have used nano-graphene oxide (nGO) and suitable fluorophores as sensor elements to construct a multichannel sensor array for the detection of protein analytes. By using the optimized multichannel array we are able to detect different proteins and mixtures of proteins with 100 % classification accuracy at sub-nanomolar concentration. This modified method expedites the sensing analysis as well as minimizes the use of both analyte and sensor elements in array-based protein sensing. We have also used this system for the single channel array-based sensing to compare the sensitivity and the efficacy of these two systems for other applications. This work demonstrated an intrinsic trade-off associated with these two methods which may be necessary to balance for array-based analyte detections.
Identifiants
pubmed: 30600928
doi: 10.1002/asia.201801756
doi:
Substances chimiques
Fluorescent Dyes
0
Oxides
0
Proteins
0
Graphite
7782-42-5
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
553-560Subventions
Organisme : Board of Research in Nuclear Sciences
ID : 37(2)/14/07/2017-BRNS
Organisme : Science and Engineering Research Board
ID : SB/FT/CS-139/2014
Informations de copyright
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.