Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration

Ayushman Ramola; Amit Kumar Shakya; Anurag Vidyarthi; Surinder Singh; Eliran Talker; Arik Bergman

doi:10.1117/12.3062891

Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration

Ayushman Ramola, Amit Kumar Shakya, Anurag Vidyarthi, Surinder Singh, Eliran Talker, Arik Bergman

Ariel University, Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Heavy metals (HM) contamination in water poses a serious threat to agricultural sustainability, environmental safety, human and animal health. HM contaminants like lead, cadmium, copper, and mercury can accumulate in crops, soil, and water systems, entering the food chain and impacting ecological balance. These HM containments are one of the main causes of life threating diseases. This research addresses the need for a high-precision, photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor integrated with spectroscopy analysis, which is capable of detecting HM traces in water.

Original language	English
Title of host publication	29th International Conference on Optical Fiber Sensors
Editors	Jose Luis Santos, Manuel Lopez-Amo Sainz, Tong Sun
Publisher	SPIE
ISBN (Electronic)	9781510691872
DOIs	https://doi.org/10.1117/12.3062891
State	Published - 2025
Event	29th International Conference on Optical Fiber Sensors - Porto, Portugal Duration: 25 May 2025 → 30 May 2025

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13639

Conference

Conference	29th International Conference on Optical Fiber Sensors
Country/Territory	Portugal
City	Porto
Period	25/05/25 → 30/05/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

Heavy metals
photonic crystal fiber
sensor
spectroscopy
surface plasmon resonance

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.3062891

Cite this

Ramola, A., Shakya, A. K., Vidyarthi, A., Singh, S., Talker, E., & Bergman, A. (2025). Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration. In J. L. Santos, M. L.-A. Sainz, & T. Sun (Eds.), 29th International Conference on Optical Fiber Sensors Article 13639AJ (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13639). SPIE. https://doi.org/10.1117/12.3062891

Ramola, Ayushman ; Shakya, Amit Kumar ; Vidyarthi, Anurag et al. / Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration. 29th International Conference on Optical Fiber Sensors. editor / Jose Luis Santos ; Manuel Lopez-Amo Sainz ; Tong Sun. SPIE, 2025. (Proceedings of SPIE - The International Society for Optical Engineering).

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abstract = "Heavy metals (HM) contamination in water poses a serious threat to agricultural sustainability, environmental safety, human and animal health. HM contaminants like lead, cadmium, copper, and mercury can accumulate in crops, soil, and water systems, entering the food chain and impacting ecological balance. These HM containments are one of the main causes of life threating diseases. This research addresses the need for a high-precision, photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor integrated with spectroscopy analysis, which is capable of detecting HM traces in water.",

keywords = "Heavy metals, photonic crystal fiber, sensor, spectroscopy, surface plasmon resonance",

author = "Ayushman Ramola and Shakya, \{Amit Kumar\} and Anurag Vidyarthi and Surinder Singh and Eliran Talker and Arik Bergman",

note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; 29th International Conference on Optical Fiber Sensors ; Conference date: 25-05-2025 Through 30-05-2025",

year = "2025",

doi = "10.1117/12.3062891",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Ramola, A, Shakya, AK, Vidyarthi, A, Singh, S, Talker, E & Bergman, A 2025, Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration. in JL Santos, ML-A Sainz & T Sun (eds), 29th International Conference on Optical Fiber Sensors., 13639AJ, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13639, SPIE, 29th International Conference on Optical Fiber Sensors, Porto, Portugal, 25/05/25. https://doi.org/10.1117/12.3062891

Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration. / Ramola, Ayushman; Shakya, Amit Kumar; Vidyarthi, Anurag et al.
29th International Conference on Optical Fiber Sensors. ed. / Jose Luis Santos; Manuel Lopez-Amo Sainz; Tong Sun. SPIE, 2025. 13639AJ (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13639).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration

AU - Ramola, Ayushman

AU - Shakya, Amit Kumar

AU - Vidyarthi, Anurag

AU - Singh, Surinder

AU - Talker, Eliran

AU - Bergman, Arik

PY - 2025

Y1 - 2025

N2 - Heavy metals (HM) contamination in water poses a serious threat to agricultural sustainability, environmental safety, human and animal health. HM contaminants like lead, cadmium, copper, and mercury can accumulate in crops, soil, and water systems, entering the food chain and impacting ecological balance. These HM containments are one of the main causes of life threating diseases. This research addresses the need for a high-precision, photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor integrated with spectroscopy analysis, which is capable of detecting HM traces in water.

AB - Heavy metals (HM) contamination in water poses a serious threat to agricultural sustainability, environmental safety, human and animal health. HM contaminants like lead, cadmium, copper, and mercury can accumulate in crops, soil, and water systems, entering the food chain and impacting ecological balance. These HM containments are one of the main causes of life threating diseases. This research addresses the need for a high-precision, photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor integrated with spectroscopy analysis, which is capable of detecting HM traces in water.

KW - Heavy metals

KW - photonic crystal fiber

KW - sensor

KW - spectroscopy

KW - surface plasmon resonance

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U2 - 10.1117/12.3062891

DO - 10.1117/12.3062891

M3 - منشور من مؤتمر

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - 29th International Conference on Optical Fiber Sensors

A2 - Santos, Jose Luis

A2 - Sainz, Manuel Lopez-Amo

A2 - Sun, Tong

PB - SPIE

T2 - 29th International Conference on Optical Fiber Sensors

Y2 - 25 May 2025 through 30 May 2025

ER -

Ramola A, Shakya AK, Vidyarthi A, Singh S, Talker E , Bergman A. Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration. In Santos JL, Sainz MLA, Sun T, editors, 29th International Conference on Optical Fiber Sensors. SPIE. 2025. 13639AJ. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.3062891

Next-Generation Photonic Crystal Fiber based Plasmonic Sensor for Heavy Metal Detection via Spectroscopy and Refractive Index Integration

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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