• Something wrong with this record ?

Analyte transport to micro- and nano-plasmonic structures

NS. Lynn, T. Špringer, J. Slabý, B. Špačková, M. Gráfová, ML. Ermini, J. Homola,

. 2019 ; 19 (24) : 4117-4127. [pub] 20191119

Language English Country Great Britain

Document type Journal Article, Research Support, Non-U.S. Gov't

The study of optical affinity biosensors based on plasmonic nanostructures has received significant attention in recent years. The sensing surfaces of these biosensors have complex architectures, often composed of localized regions of high sensitivity (electromagnetic hot spots) dispersed along a dielectric substrate having little to no sensitivity. Under conditions such that the sensitive regions are selectively functionalized and the remaining regions passivated, the rate of analyte capture (and thus the sensing performance) will have a strong dependence on the nanoplasmonic architecture. Outside of a few recent studies, there has been little discussion on how changes to a nanoplasmonic architecture will affect the rate of analyte transport. We recently proposed an analytical model to predict transport to such complex architectures; however, those results were based on numerical simulation and to date, have only been partially verified. In this study we measure the characteristics of analyte transport across a wide range of plasmonic structures, varying both in the composition of their base plasmonic element (microwires, nanodisks, and nanorods) and the packing density of such elements. We functionalized each structure with nucleic acid-based bioreceptors, where for each structure we used analyte/receptor sequences as to maintain a Damköhler number close to unity. This method allows to extract both kinetic (in the form of association and dissociation constants) and analyte transport parameters (in the form of a mass transfer coefficient) from sensorgrams taken from each substrate. We show that, despite having large differences in optical characteristics, measured rates of analyte transport for all plasmonic structures match very well to predictions using our previously proposed model. These results highlight that, along with optical characteristics, analyte transport plays a large role in the overall sensing performance of a nanoplasmonic biosensor.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20025388
003      
CZ-PrNML
005      
20201222153902.0
007      
ta
008      
201125s2019 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1039/c9lc00699k $2 doi
035    __
$a (PubMed)31740906
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Lynn, N Scott $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
245    10
$a Analyte transport to micro- and nano-plasmonic structures / $c NS. Lynn, T. Špringer, J. Slabý, B. Špačková, M. Gráfová, ML. Ermini, J. Homola,
520    9_
$a The study of optical affinity biosensors based on plasmonic nanostructures has received significant attention in recent years. The sensing surfaces of these biosensors have complex architectures, often composed of localized regions of high sensitivity (electromagnetic hot spots) dispersed along a dielectric substrate having little to no sensitivity. Under conditions such that the sensitive regions are selectively functionalized and the remaining regions passivated, the rate of analyte capture (and thus the sensing performance) will have a strong dependence on the nanoplasmonic architecture. Outside of a few recent studies, there has been little discussion on how changes to a nanoplasmonic architecture will affect the rate of analyte transport. We recently proposed an analytical model to predict transport to such complex architectures; however, those results were based on numerical simulation and to date, have only been partially verified. In this study we measure the characteristics of analyte transport across a wide range of plasmonic structures, varying both in the composition of their base plasmonic element (microwires, nanodisks, and nanorods) and the packing density of such elements. We functionalized each structure with nucleic acid-based bioreceptors, where for each structure we used analyte/receptor sequences as to maintain a Damköhler number close to unity. This method allows to extract both kinetic (in the form of association and dissociation constants) and analyte transport parameters (in the form of a mass transfer coefficient) from sensorgrams taken from each substrate. We show that, despite having large differences in optical characteristics, measured rates of analyte transport for all plasmonic structures match very well to predictions using our previously proposed model. These results highlight that, along with optical characteristics, analyte transport plays a large role in the overall sensing performance of a nanoplasmonic biosensor.
650    12
$a teoretické modely $7 D008962
650    12
$a nanotrubičky $7 D043942
650    12
$a povrchová plasmonová rezonance $7 D020349
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Špringer, Tomáš $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
700    1_
$a Slabý, Jiří $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
700    1_
$a Špačková, Barbora $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
700    1_
$a Gráfová, Michaela $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
700    1_
$a Ermini, Maria Laura $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
700    1_
$a Homola, Jiří $u Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.
773    0_
$w MED00169252 $t Lab on a chip $x 1473-0189 $g Roč. 19, č. 24 (2019), s. 4117-4127
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31740906 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201222153858 $b ABA008
999    __
$a ok $b bmc $g 1599533 $s 1116074
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 19 $c 24 $d 4117-4127 $e 20191119 $i 1473-0189 $m Lab on a chip $n Lab chip $x MED00169252
LZP    __
$a Pubmed-20201125

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...