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Published on: December 12, 2013
A far-field-viewing sensor for making analytical measurements in remote locations
K L Michael1, L C Taylor, D R Walt
1Max Tishler Laboratory for Organic Chemistry, Department of Chemistry, Tufts University, Medford, Massachusetts 02155, USA.
A novel Gradient index (GRIN) lens-based optical fiber sensor, the GRINscope, enables remote analytical measurements. This sensor provides simultaneous visual imaging and chemical detection, including pH and oxygen levels, in challenging environments.
Area of Science:
- Optics and Photonics
- Chemical Sensing
- Biomedical Engineering
Background:
- Remote analytical measurements are crucial for in-situ monitoring in various fields.
- Existing sensors often lack the ability to provide both visual and chemical data simultaneously.
- Gradient index (GRIN) lenses offer unique optical properties for miniaturized imaging systems.
Purpose of the Study:
- To develop and demonstrate a far-field-viewing GRINscope sensor for remote analytical measurements.
- To integrate visual imaging and chemical sensing capabilities into a single fiber-optic device.
- To validate the GRINscope's performance in detecting chemical parameters like pH and oxygen.
Main Methods:
- Fabrication of the GRINscope by affixing a micro-GRIN lens to an optical imaging fiber.
- Immobilization of pH-sensitive polymer layers on the GRINscope's distal end.
- Imaging of pH- and O2-sensitive particles and measurement of fluorescence intensity.
Main Results:
- The GRINscope successfully obtained both visual information and chemical data (pH) from a flowing stream.
- Simultaneous imaging and fluorescence intensity measurements of pH- and O2-sensitive particles were achieved.
- The sensor demonstrated effective analytical measurements in remote locations.
Conclusions:
- The GRINscope sensor is a versatile tool for remote, multi-modal analytical measurements.
- This technology enables simultaneous visual and chemical sensing, expanding the capabilities of fiber-optic sensors.
- The GRINscope holds potential for applications requiring in-situ monitoring in inaccessible or remote environments.
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