2014
DOI: 10.1021/jz5009856
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Extremely High Two-Photon Absorbing Graphene Oxide for Imaging of Tumor Cells in the Second Biological Window

Abstract: Cancer, a life-threatening disease, has become a global pandemic. Targeted tumor imaging using near-infrared (NIR) light is the key to improve the penetration depth and it is highly promising for clinical tumor diagnostics. Driven by this need, in this Letter we have reported aptamer conjugated graphene oxide-based two-photon imaging of breast tumor cells selectively. Reported data indicate that there is an extremely high two-photon absorption from aptamer conjugated graphene oxide (σ2PA = 46890 GM). Experimen… Show more

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Cited by 47 publications
(95 citation statements)
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“…In last one decade, due to the huge advances in the innovative developments of laser systems, detector devices and optical filter design, we are now able to use the combination of several NLO modalities for advancing biological imaging into a single microscope platform, which is known as multimodal NLO imaging 2130 . For in vivo imaging using noninvasive technology, near infrared (NIR) light between 650–950 nm (biological I window) and 1000–1350 nm (biological II window) needs to be used for providing maximum radiation penetration through tissue 15,1113,3133 . To date, most of the cell imaging is reported using biological I window (650–950 nm) NIR light, although it is well documented that due to the substantial background noise from tissue autofluorescence and the tissue penetration depth is limited to 1–2 cm, biological I window is not optimal 15,1113 .…”
Section: Introductionmentioning
confidence: 99%
“…In last one decade, due to the huge advances in the innovative developments of laser systems, detector devices and optical filter design, we are now able to use the combination of several NLO modalities for advancing biological imaging into a single microscope platform, which is known as multimodal NLO imaging 2130 . For in vivo imaging using noninvasive technology, near infrared (NIR) light between 650–950 nm (biological I window) and 1000–1350 nm (biological II window) needs to be used for providing maximum radiation penetration through tissue 15,1113,3133 . To date, most of the cell imaging is reported using biological I window (650–950 nm) NIR light, although it is well documented that due to the substantial background noise from tissue autofluorescence and the tissue penetration depth is limited to 1–2 cm, biological I window is not optimal 15,1113 .…”
Section: Introductionmentioning
confidence: 99%
“…The unique physical, chemical, electronic, thermal, and mechanical properties of this carbon-based 2D nanomaterial have attracted interest in biomedicine, such as cancer molecular imaging2, enzyme adsorption3, biosensors4, and drug delivery56. Graphene oxide (GO) is a layered material consisting of hydrophilic oxygenated graphene sheets bearing oxygen functional groups on their basal planes and edges, which facilitates conjugation of proteins7, DNAs/RNAs89 or chemical drugs10.…”
mentioning
confidence: 99%
“…10–16 Despite huge advances in discovering various types of fluorescence probes, single-photon fluorescence imaging for biomolecules using second biological NIR light remains a huge challenge. 1521 Two-photon luminescence (TPF) imaging has been introduced in biology and clinical study to solve the above problem. 1524 But, finding photostable TPF material that exhibits strong two-photon luminescence efficiency in biological window II is rare.…”
Section: Introductionmentioning
confidence: 99%
“…1521 Two-photon luminescence (TPF) imaging has been introduced in biology and clinical study to solve the above problem. 1524 But, finding photostable TPF material that exhibits strong two-photon luminescence efficiency in biological window II is rare. 2028 The current article reports plasmon-coupling enhanced, bright two-photon imaging of melanoma UACC903 cells in biological II window using anti-GD2 antibody attached gold nanoparticle (GNP) conjugated single-wall carbon nanotubes (SWCNTs).…”
Section: Introductionmentioning
confidence: 99%
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