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Design and Fabrication of Fiber-Optic Nanoprobes for Optical Sensing

Overview of attention for article published in Discover Nano, August 2010
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Title
Design and Fabrication of Fiber-Optic Nanoprobes for Optical Sensing
Published in
Discover Nano, August 2010
DOI 10.1007/s11671-010-9744-5
Pubmed ID
Authors

Yan Zhang, Anuj Dhawan, Tuan Vo-Dinh

Abstract

This paper describes the design and fabrication of fiber-optic nanoprobes developed for optical detection in single living cells. It is critical to fabricate probes with well-controlled nanoapertures for optimized spatial resolution and optical transmission. The detection sensitivity of fiber-optic nanoprobe depends mainly on the extremely small excitation volume that is determined by the aperture sizes and penetration depths. We investigate the angle dependence of the aperture in shadow evaporation of the metal coating onto the tip wall. It was found that nanoaperture diameters of approximately 50 nm can be achieved using a 25° tilt angle. On the other hand, the aperture size is sensitive to the subtle change of the metal evaporation angle and could be blocked by irregular metal grains. Through focused ion beam (FIB) milling, optical nanoprobes with well-defined aperture size as small as 200 nm can be obtained. Finally, we illustrate the use of the nanoprobes by detecting a fluorescent species, benzo[a]pyrene tetrol (BPT), in single living cells. A quantitative estimation of the numbers of BPT molecules detected using fiber-optic nanoprobes for BPT solutions shows that the limit of detection was approximately 100 molecules.

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Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Researcher 4 13%
Student > Master 3 10%
Other 1 3%
Other 1 3%
Unknown 11 35%
Readers by discipline Count As %
Physics and Astronomy 7 23%
Chemistry 3 10%
Engineering 3 10%
Materials Science 2 6%
Decision Sciences 1 3%
Other 2 6%
Unknown 13 42%