Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162391
Title: Ultrasensitive detection of heavy metal ions with scalable singular phase thin film optical coatings
Authors: Rao, Anirudha R.
Sreekanth, Kandammathe Valiyaveedu
Sreejith, Sivaramapanicker
Jose, Vishal
Pethe, Shreya
Singh, Ranjan
Keywords: Science::Physics
Issue Date: 2022
Source: Rao, A. R., Sreekanth, K. V., Sreejith, S., Jose, V., Pethe, S. & Singh, R. (2022). Ultrasensitive detection of heavy metal ions with scalable singular phase thin film optical coatings. Advanced Optical Materials, 10(8), 2102623-. https://dx.doi.org/10.1002/adom.202102623
Project: A18A5b0056
Journal: Advanced Optical Materials
Abstract: Identification of spectroscopically silent heavy-metal ions in environmental and bio-analytical samples has gained immense importance. Lowering the limit of detection of these ions at low concentrations is crucial for biomedicine and food safety applications. Optical chemical sensors have shown great potential in improving the sensing solutions for heavy-metal ions because of their fast and label-free detection capabilities. However, achieving high sensitivity without compromising on scalability and simplicity is challenging. Here, we experimentally demonstrate the detection of heavy metal ions at ultralow concentrations using lithography-free scalable thin film optical coatings that show singular behavior of phase of light at the point-of-darkness. Since the phase-sensitive optical techniques have shown superior sensitivity over traditional sensing techniques based on spectroscopy, we use this extreme phase change to detect zinc ions concentration down to femtomolar. In particular, it allows us to monitor very small changes in refractive index due to the real-time binding of zinc ions on a poly (lactic-co-glycolic acid) functionalized sensor surface. This cost-effective extreme sensitivity sensing platform can be used for the label-free detection of various heavy metal ions by properly functionalizing the sensor surface.
URI: https://hdl.handle.net/10356/162391
ISSN: 2195-1071
DOI: 10.1002/adom.202102623
Schools: School of Physical and Mathematical Sciences 
School of Electrical and Electronic Engineering 
School of Chemical and Biomedical Engineering 
School of Materials Science and Engineering 
Research Centres: Centre for Disruptive Photonic Technologies (CDPT) 
The Photonics Institute 
Rights: © 2022 Wiley-VCH GmbH. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles
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