Fiber Optic Biosensors

Spillman, William B.

doi:10.1002/9781118014103.ch16

Cited by 5 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These interactions for fibres may occur along the whole length of the fibre or may be selectively localized to provide distributed or quasi-distributed sensors. Single-mode optical fibres (SMF) employed in optical fibre bragg grating (FBG) detectors, for instance, have a periodic fluctuation in the refractive index engraved across a small distance [111].…”

Section: Sensor With An Optical Fibre Bragg Gratingmentioning

confidence: 99%

“…They work by connecting the local temperature (T), pressure (P), and strain (ε) of the environment to the wavelength dependence of the signal (λB) [35]. They are capable of multiplexed, multi-parameter sensing, are electromagnetic interference-resistant, environmentally benign, insulating against electricity, compact, and have a small form factor [111]. These benefits have led to the employment of SMF-FBG sensors in fuel-cell battery stacks for temperature and control of water by simultaneously monitoring local temperature and humidity (with a polymer layer) during transient operating conditions [112].…”

Section: Sensor With An Optical Fibre Bragg Gratingmentioning

confidence: 99%

See 1 more Smart Citation

Sustainability and Prolonging Rechargeable Battery Life: A Sensor Device Review

Sahu

Tiwari

2023

J. Electron. Electric. Eng.

View full text Add to dashboard Cite

Rechargeable batteries have recently experienced increases in productivity and the economy, solidifying their dominance in energy-intensive cultures. Regular performance monitoring is required to lessen the adverse environmental effects of batteries in the face of increased demand. The distinctive features of lithium-ion batteries (LIBs) make them an ideal choice for energy storage. Battery management systems (BMSs) are needed to make sure that LIB systems are safe and operate effectively. Critical problems in the existing structure and operation of BMSs are their limited data storage capacity and weak computational power. This paper studies the idea and architecture of cloud-based smart BMSs and offers some viewpoints on their performance, usability, and advantages for upcoming battery applications. While some of the benefits of sensors have been recognized for more than a hundred years, the combination of diverse sensing technologies with novel battery platforms has the potential to revolutionize the sector by changing how both new and old lithium-ion devices are used. This paper also highlights current advances and their associated benefits focusing on electrochemical, mechanical, acoustic, and optical sensors that can potentially boost battery sustainability and longevity.

show abstract

Section: Sensor With An Optical Fibre Bragg Gratingmentioning

confidence: 99%

Section: Sensor With An Optical Fibre Bragg Gratingmentioning

confidence: 99%

Sustainability and Prolonging Rechargeable Battery Life: A Sensor Device Review

Sahu

Tiwari

2023

J. Electron. Electric. Eng.

View full text Add to dashboard Cite

show abstract

“…Since its conception in the 1950s, researchers have been interested in studying the fundamentals of the effects of shape, surrounding medium, material, and their interaction with light of different wavelengths [ 1 ]. With this well-established knowledge, plasmonics is witnessing an enormous potential for applications in different fields, including forensics [ 2 ]; environmental safety [ 3 ]; biosensing [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ], e.g., SARS-CoV-2 detection [ 12 ]; and homeland security [ 13 ]. The applications of plasmonics majorly rely on surface plasmon resonance (SPR) or localized surface plasmon resonance (LSPR) effects [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

View full text Add to dashboard Cite

Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

show abstract