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A Low Noise CMOS Readout Based on a Polymer-Coated SAW Array for Miniature Electronic Nose

Overview of attention for article published in Sensors, October 2016
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Article details
Title
A Low Noise CMOS Readout Based on a Polymer-Coated SAW Array for Miniature Electronic Nose
Published in
Sensors, October 2016
DOI 10.3390/s16111777
Pubmed ID
Authors
Abstract

An electronic nose (E-Nose) is one of the applications for surface acoustic wave (SAW) sensors. In this paper, we present a low-noise complementary metal-oxide-semiconductor (CMOS) readout application-specific integrated circuit (ASIC) based on an SAW sensor array for achieving a miniature E-Nose. The center frequency of the SAW sensors was measured to be approximately 114 MHz. Because of interference between the sensors, we designed a low-noise CMOS frequency readout circuit to enable the SAW sensor to obtain frequency variation. The proposed circuit was fabricated in Taiwan Semiconductor Manufacturing Company (TSMC) 0.18 μm 1P6M CMOS process technology. The total chip size was nearly 1203 × 1203 μm². The chip was operated at a supply voltage of 1 V for a digital circuit and 1.8 V for an analog circuit. The least measurable difference between frequencies was 4 Hz. The detection limit of the system, when estimated using methanol and ethanol, was 0.1 ppm. Their linearity was in the range of 0.1 to 26,000 ppm. The power consumption levels of the analog and digital circuits were 1.742 mW and 761 μW, respectively.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Master 3 19%
Other 1 6%
Professor 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline
Readers by discipline Count As %
Engineering 5 31%
Chemistry 2 13%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Materials Science 1 6%
Other 0 0%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2016.
All research outputs
#24,992,549
of 27,774,969 outputs
Outputs from Sensors
#19,150
of 30,315 outputs
Outputs of similar age
#275,758
of 314,751 outputs
Outputs of similar age from Sensors
#228
of 324 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,315 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.