A highly sensitive optofluidic-gas sensor using two dimensional photonic crystals

Anamoradi, Aysan; Fasihi, Kiazand

doi:10.1016/j.spmi.2018.11.019

Cited by 27 publications

(13 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent experimental and theoretical demonstrations show that high sensitivity and high-quality factor can be achieved by using different PhC sensor configurations/sensors 209,210 e.g. , PhC waveguide, 211,212 PhC nanoresonator, 213,214 PhC cavity, 215,216 polymeric PhC, 217 1-D PhC, 218,219 2-D PhC, 83,220 3-D PhC, 221 plasmonic PhC, 222 MEMS PhC, 223 porous PhC, 224 and PhC fiber. 164,225,226…”

Section: Techniques For the Improvement Of Selectivitymentioning

confidence: 99%

Selectivity in trace gas sensing: recent developments, challenges, and future perspectives

Barik

Pradhan

2022

Analyst

View full text Add to dashboard Cite

show abstract

Section: Techniques For the Improvement Of Selectivitymentioning

confidence: 99%

Selectivity in trace gas sensing: recent developments, challenges, and future perspectives

Barik

Pradhan

2022

Analyst

View full text Add to dashboard Cite

show abstract

“…The temperature and concentration of ethylene/air mixture were measured by a 1D PC sensor presented by Chen et al [21]. A 2D PC gas sensor with a high sensitivity of 575 nm/RIU was introduced by Anamoradi et al [22].…”

Section: Introductionmentioning

confidence: 99%

Detection of isoprene traces in exhaled breath by using photonic crystals as a biomarker for chronic liver fibrosis disease

Mehaney

Elsayed

Ahmed

2021

Preprint

View full text Add to dashboard Cite

Detection of blood-carried volatile organic compounds (VOCs) existing in the exhaled breath of human is an attractive research point for noninvasive diagnosis of diseases. In this research, we introduce a novel application of photonic crystals (PCs) for the detection of isoprene traces in the exhaled breath as a biomarker for liver fibrosis. This idea is introduced for the first time according to the best of our knowledge. The proposed sensor structure is a one-dimensional (1D) PC constructed from a multilayer stack of two dielectric materials covered with an air cavity layer filled with the dry exhaled breath (DEB) and a thin metallic layer of Au is attached on the top surface. Hence, the proposed sensor is configured as, [prism/Au/air cavity/(GaN/SiO2)10]. The transfer matrix method and the Drude model are adopted to calculate the numerical simulations and reflection spectra of the design. The essential key for sensing isoprene levels is the resonant optical Tamm plasmon (TP) states within the photonic bandgap. The obtained numerical results are promising such as high sensitivity (S) of 0.321 nm/ppm or 278720 nm/RIU. This technique can be reducing the risk of infection during the taking of blood samples by syringe. Also, it can prevent the pain of patients. Finally, this work opens the door for the detection of many diseases by analyzing the breaths of patients based on photonic crystals.

show abstract

“…[ 5–8 ] One of the major fields of applications is devoted to sensor design by PCs and diverse sensors have been reported for temperature, pressure, pH, humidity, and refractive index (RI) which find potential applications in healthcare, automation, defense, security, food quality control, and environment. [ 9–12 ] Recently, compact and label‐free refractive index sensors have been presented in PC platforms by insertion of gas or liquids in the microcavities or voids with high Q‐factor ( Q f ), sensitivity, and small mode volume. [ 13–15 ] Slow light mechanism and the enhancement of local field intensity in the sensing area could be regarded to achieve high sensitivity and compact sensors due to improved light–matter interaction.…”

Section: Introductionmentioning

confidence: 99%

“…[ 25–27 ] In 2019, a hole‐type PC sensor based on slow light has been presented with ring‐shaped rods in the first row of the channel and the Q‐factor with sensitivity of 7070 and 575 nm RIU −1 has been reported, respectively for RI detection in the range of 1–1.5. [ 9 ] A slow light based sensor with 4 detection voids inserted into the channel has been presented in a hole‐type PC in Si substrate which led to sensitivity of S = 412.5 nm RIU −1 in the detection range of RI = 1.34–1.42. [ 23 ] Lai et al., have presented a PC sensor utilizing a slow light waveguide with group index ( n g ) of 13.2 in 1575 nm and the Q‐factor of 7000 along with sensitivity of 66 nm RIU −1 have been obtained for material detection with RI in the range of 1.33–1.46.…”

Section: Introductionmentioning

confidence: 99%

Self‐Collimation and Slow Light‐Based Refractive Index Sensor with a Large Detection Range

2021

View full text Add to dashboard Cite

In this study, a refractive index sensor based on self‐collimation and slow light is presented which operates in the Mid‐IR range (4 µm < λ < 4.133 µm). Here, the square and hexagonal arrays are merged as the background platform and the sensing area, respectively to provide self‐collimation and slow light properties. Three sensors based on slow‐light and self‐collimation are presented in detail which provide Q‐factor, sensitivity, and detection range of 227, 104 nm RIU−1, and 1–1.7, respectively in the best case. Furthermore, the sensor design based on self‐collimation and photonic bandgap phenomena in the background platform and the sensing area, respectively is presented with a single detection unit. The presented sensors are capable of gas or liquid detection with refractive indices in the range of 1–2 with enhanced Q‐factor and sensitivity of over 620 and 123, respectively.

show abstract

A highly sensitive optofluidic-gas sensor using two dimensional photonic crystals

Cited by 27 publications

References 21 publications

Selectivity in trace gas sensing: recent developments, challenges, and future perspectives

Selectivity in trace gas sensing: recent developments, challenges, and future perspectives

Detection of isoprene traces in exhaled breath by using photonic crystals as a biomarker for chronic liver fibrosis disease

Self‐Collimation and Slow Light‐Based Refractive Index Sensor with a Large Detection Range

Contact Info

Product

Resources

About