Photonic crystal fibre sensor for unhealthy food additive detection

Abdul Mu iz Maidi; Erma Suryani; Feroza Begum

doi:10.1063/5.0180155

Photonic crystal fibre sensor for unhealthy food additive detection

Abdul Mu iz Maidi^*, Erma Suryani, Feroza Begum

^*Corresponding author for this work

Universiti Brunei Darussalam

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

Abstract

An uncomplicated photonic crystal fibre design based on an octagonal core hole and hollow circular cladding holes in two layers has been introduced to detect food additives. The numerical analysis of the design is executed through simulation performed in COMSOL Multiphysics software with the infiltrated test analytes: saccharin, sorbitol, and butyl acetate, operating from 1.6 to 4.0 μm wavelength variation. The performance of the presented sensor is established by evaluating the principal performance parameters: effective refractive index, power fraction, relative sensitivity, and confinement loss. At an operating wavelength of 2.0 μm, the sensor design depicts best relative sensitivities of 98.06% for saccharin, 97.05% for sorbitol, 95.81% for butyl acetate, and 3.82 × 10^-23 dB/m for saccharin, 3.44 × 10^-22 dB/m for sorbitol, and 1.81 × 10^-21 dB/m for butyl acetate for confinement loss, which is extremely low. Hence, the proposed food additive sensor is suitable for actual sensing applications based on these obtained results.

Original language	English
Title of host publication	AIP Conference Proceedings
Editors	Nor Zainah Siau, S. H. Shah Newaz, Sharul Tazrajiman Tajuddin, Ravi Kumar Patchmuthu
Publisher	American Institute of Physics Inc.
Edition	1
ISBN (Electronic)	9780735447493
DOIs	https://doi.org/10.1063/5.0180155
Publication status	Published - 20 Nov 2023
Event	5th International Conference on Computational Intelligence in Information Systems, CIIS 2022 - Virtual, Online, Brunei Darussalam Duration: 17 Oct 2022 → 19 Oct 2022

Publication series

Name	AIP Conference Proceedings
Number	1
Volume	2968
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	5th International Conference on Computational Intelligence in Information Systems, CIIS 2022
Country/Territory	Brunei Darussalam
City	Virtual, Online
Period	17/10/22 → 19/10/22

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10.1063/5.0180155

Cite this

@inproceedings{9740db453b124ca28fd92448887f2eaf,

title = "Photonic crystal fibre sensor for unhealthy food additive detection",

abstract = "An uncomplicated photonic crystal fibre design based on an octagonal core hole and hollow circular cladding holes in two layers has been introduced to detect food additives. The numerical analysis of the design is executed through simulation performed in COMSOL Multiphysics software with the infiltrated test analytes: saccharin, sorbitol, and butyl acetate, operating from 1.6 to 4.0 μm wavelength variation. The performance of the presented sensor is established by evaluating the principal performance parameters: effective refractive index, power fraction, relative sensitivity, and confinement loss. At an operating wavelength of 2.0 μm, the sensor design depicts best relative sensitivities of 98.06% for saccharin, 97.05% for sorbitol, 95.81% for butyl acetate, and 3.82 × 10-23 dB/m for saccharin, 3.44 × 10-22 dB/m for sorbitol, and 1.81 × 10-21 dB/m for butyl acetate for confinement loss, which is extremely low. Hence, the proposed food additive sensor is suitable for actual sensing applications based on these obtained results.",

author = "Maidi, {Abdul Mu iz} and Erma Suryani and Feroza Begum",

note = "Publisher Copyright: {\textcopyright} 2023 Author(s).; 5th International Conference on Computational Intelligence in Information Systems, CIIS 2022 ; Conference date: 17-10-2022 Through 19-10-2022",

year = "2023",

month = nov,

day = "20",

doi = "10.1063/5.0180155",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

number = "1",

editor = "Siau, {Nor Zainah} and Newaz, {S. H. Shah} and Tajuddin, {Sharul Tazrajiman} and Patchmuthu, {Ravi Kumar}",

booktitle = "AIP Conference Proceedings",

edition = "1",

}

Maidi, AMI, Suryani, E & Begum, F 2023, Photonic crystal fibre sensor for unhealthy food additive detection. in NZ Siau, SHS Newaz, ST Tajuddin & RK Patchmuthu (eds), AIP Conference Proceedings. 1 edn, 050006, AIP Conference Proceedings, no. 1, vol. 2968, American Institute of Physics Inc., 5th International Conference on Computational Intelligence in Information Systems, CIIS 2022, Virtual, Online, Brunei Darussalam, 17/10/22. https://doi.org/10.1063/5.0180155

Photonic crystal fibre sensor for unhealthy food additive detection. / Maidi, Abdul Mu iz; Suryani, Erma; Begum, Feroza.
AIP Conference Proceedings. ed. / Nor Zainah Siau; S. H. Shah Newaz; Sharul Tazrajiman Tajuddin; Ravi Kumar Patchmuthu. 1. ed. American Institute of Physics Inc., 2023. 050006 (AIP Conference Proceedings; Vol. 2968, No. 1).

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

TY - GEN

T1 - Photonic crystal fibre sensor for unhealthy food additive detection

AU - Maidi, Abdul Mu iz

AU - Suryani, Erma

AU - Begum, Feroza

PY - 2023/11/20

Y1 - 2023/11/20

N2 - An uncomplicated photonic crystal fibre design based on an octagonal core hole and hollow circular cladding holes in two layers has been introduced to detect food additives. The numerical analysis of the design is executed through simulation performed in COMSOL Multiphysics software with the infiltrated test analytes: saccharin, sorbitol, and butyl acetate, operating from 1.6 to 4.0 μm wavelength variation. The performance of the presented sensor is established by evaluating the principal performance parameters: effective refractive index, power fraction, relative sensitivity, and confinement loss. At an operating wavelength of 2.0 μm, the sensor design depicts best relative sensitivities of 98.06% for saccharin, 97.05% for sorbitol, 95.81% for butyl acetate, and 3.82 × 10-23 dB/m for saccharin, 3.44 × 10-22 dB/m for sorbitol, and 1.81 × 10-21 dB/m for butyl acetate for confinement loss, which is extremely low. Hence, the proposed food additive sensor is suitable for actual sensing applications based on these obtained results.

AB - An uncomplicated photonic crystal fibre design based on an octagonal core hole and hollow circular cladding holes in two layers has been introduced to detect food additives. The numerical analysis of the design is executed through simulation performed in COMSOL Multiphysics software with the infiltrated test analytes: saccharin, sorbitol, and butyl acetate, operating from 1.6 to 4.0 μm wavelength variation. The performance of the presented sensor is established by evaluating the principal performance parameters: effective refractive index, power fraction, relative sensitivity, and confinement loss. At an operating wavelength of 2.0 μm, the sensor design depicts best relative sensitivities of 98.06% for saccharin, 97.05% for sorbitol, 95.81% for butyl acetate, and 3.82 × 10-23 dB/m for saccharin, 3.44 × 10-22 dB/m for sorbitol, and 1.81 × 10-21 dB/m for butyl acetate for confinement loss, which is extremely low. Hence, the proposed food additive sensor is suitable for actual sensing applications based on these obtained results.

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U2 - 10.1063/5.0180155

DO - 10.1063/5.0180155

M3 - Conference contribution

AN - SCOPUS:85179799632

T3 - AIP Conference Proceedings

BT - AIP Conference Proceedings

A2 - Siau, Nor Zainah

A2 - Newaz, S. H. Shah

A2 - Tajuddin, Sharul Tazrajiman

A2 - Patchmuthu, Ravi Kumar

PB - American Institute of Physics Inc.

T2 - 5th International Conference on Computational Intelligence in Information Systems, CIIS 2022

Y2 - 17 October 2022 through 19 October 2022

ER -

Photonic crystal fibre sensor for unhealthy food additive detection

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