Quantum interference effects in biphenyl dithiol for gas detection

Jariyanee Prasongkit; Alexandre R. Rocha

doi:10.1039/c6ra06578c

Quantum interference effects in biphenyl dithiol for gas detection

RSC Advances ◽

10.1039/c6ra06578c ◽

2016 ◽

Vol 6 (64) ◽

pp. 59299-59304 ◽

Cited By ~ 5

Author(s):

Jariyanee Prasongkit ◽

Alexandre R. Rocha

Keyword(s):

Gas Sensor ◽

Quantum Interference ◽

Gas Detection ◽

First Principle ◽

Interference Effects ◽

Gas Molecules ◽

Co Gas

Biphenyl dithiol (BPDT) was examined for the detection of NO, NO2, NH3 and CO gas molecules using the first-principle methods. The quantum interference effects were observed in the transmission, revealing the application of BPDT as a gas sensor.

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Comment on “Quantum interference effects in biphenyl dithiol for gas detection” by J. Prasongkit and A. R. Rocha, RSC Adv., 2016, 64, 59299–59304

RSC Advances ◽

10.1039/c9ra00451c ◽

2020 ◽

Vol 10 (4) ◽

pp. 2073-2074

Author(s):

Anton Grigoriev ◽

Hassan Jafri ◽

Klaus Leifer

Keyword(s):

Quantum Interference ◽

Binding Energies ◽

Gas Detection ◽

Interference Effects ◽

Gas Molecule

We find from our calculations that the binding energies for the NO2 molecules, calculated in this paper, are too low, most likely due to the lacking optimization of the site at which the gas molecule binds to the BPDT.

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Selective CO gas detection of CuO- and ZnO-doped SnO2 gas sensor

Sensors and Actuators B Chemical ◽

10.1016/s0925-4005(00)00742-5 ◽

2001 ◽

Vol 75 (1-2) ◽

pp. 56-61 ◽

Cited By ~ 103

Author(s):

Ji Haeng Yu ◽

Gyeong Man Choi

Keyword(s):

Gas Sensor ◽

Gas Detection ◽

Co Gas

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Selective CO gas detection of SnO2–Zn2SnO4 composite gas sensor

Sensors and Actuators B Chemical ◽

10.1016/s0925-4005(01)00884-x ◽

2001 ◽

Vol 80 (1) ◽

pp. 21-27 ◽

Cited By ~ 57

Author(s):

Won Jae Moon ◽

Ji Haeng Yu ◽

Gyeong Man Choi

Keyword(s):

Gas Sensor ◽

Gas Detection ◽

Co Gas

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Improved CO gas detection of Si MOSFET gas sensor with catalytic Pt decoration and pre-bias effect

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2019.127040 ◽

2019 ◽

Vol 300 ◽

pp. 127040 ◽

Cited By ~ 5

Author(s):

Seongbin Hong ◽

Yoonki Hong ◽

Yujeong Jeong ◽

Gyuweon Jung ◽

Wonjun Shin ◽

...

Keyword(s):

Gas Sensor ◽

Gas Detection ◽

Bias Effect ◽

Co Gas

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Reply to the ‘Comment on “Quantum interference effects in biphenyl dithiol for gas detection”’ by A. Grigoriev, H. Jafri and K. Leifer, RSC Adv., 2020, 10, DOI: 10.1039/C9RA00451C

RSC Advances ◽

10.1039/c9ra06459a ◽

2020 ◽

Vol 10 (5) ◽

pp. 2560-2561

Author(s):

Jariyanee Prasongkit

Keyword(s):

Quantum Interference ◽

Binding Energies ◽

Gas Detection ◽

Interference Effects

We reply to the Comment by Leifer et al. on our publication [Prasongkit et al., RSC Adv., 2016, 64, 59299]. We maintain that, as biphenyl is non-reactive, low binding energies are expected when gases are adsorbed on biphenyl dithiol.

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Hazardous Gas Detection using Gas Sensors Arrays and Fuzzy-Based Classification

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1194.0882s819 ◽

2019 ◽

Vol 8 (2S8) ◽

pp. 1883-1888

Keyword(s):

Gas Sensor ◽

Electronic Nose ◽

Gas Sensors ◽

Sensor Arrays ◽

Gas Detection ◽

Hazardous Gases ◽

The Impact ◽

Co Gas ◽

Hazardous Gas ◽

Gas Sensor Arrays

This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not breathe in hazardous gases in order to maintain their health. Hence, there must be an indicator to show the hazardous level of certain gases so that people can avoid and minimize the impact on their health. In this paper, hazardous gas detection is implemented by using gas sensor arrays and fuzzy-based classification. A classification for the electronic nose (e-nose) is developed in order to classify gases and determine the level of hazard of gases. The results found that e-nose system is able to differentiate hazardous level of chosen gases which are LP gas and CO gas.

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Tunable donor and acceptor impurity states in a WSe2 monolayer by adsorption of common gas molecules

RSC Advances ◽

10.1039/c6ra17643g ◽

2016 ◽

Vol 6 (86) ◽

pp. 82793-82800 ◽

Cited By ~ 19

Author(s):

Tianxing Wang ◽

Rumeng Zhao ◽

Xu Zhao ◽

Yipeng An ◽

Xianqi Dai ◽

...

Keyword(s):

Gas Sensor ◽

First Principle ◽

Acceptor Impurity ◽

Impurity States ◽

First Principle Calculations ◽

Donor And Acceptor ◽

Gas Molecules

A gas sensor of common gas molecules, such as CO, H2O, NH3, O2, NO and NO2 on a WSe2 monolayer is investigated systematically by using first-principle calculations.

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