Evidence map›Paper›PMID 27352395›Full record

ArticleIEEE transactions on biomedical circuits and systems2016

CMOS Amperometric ADC With High Sensitivity, Dynamic Range and Power Efficiency for Air Quality Monitoring.

Haitao Li, C Sam Boling, Andrew J Mason

Abstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Haitao Li
C Sam Boling
Andrew J Mason

Funding

Wearable Microsystem Array for Acute Pollutant Exposure AssessmentR01ES022302 · NIEHS · MICHIGAN STATE UNIVERSITY · PI MASON, ANDREW J, ZENG, XIANGQUN · 2014 to 2018
$2.3M
Autonomous Electromechanical Gas Detection Microsystem for Mine SafetyR01OH009644 · OH · MICHIGAN STATE UNIVERSITY · PI MASON, ANDREW J, ZENG, XIANGQUN · 2010 to 2013
$1.8M
NIEHS NIH HHS R01 ES022302NIOSH CDC HHS R01 OH009644
6 · The paper itself

Abstract

Airborne pollutants are a leading cause of illness and mortality globally. Electrochemical gas sensors show great promise for personal air quality monitoring to address this worldwide health crisis. However, implementing miniaturized arrays of such sensors demands high performance instrumentation circuits that simultaneously meet challenging power, area, sensitivity, noise and dynamic range goals. This paper presents a new multi-channel CMOS amperometric ADC featuring pixel-level architecture for gas sensor arrays. The circuit combines digital modulation of input currents and an incremental Σ∆ ADC to achieve wide dynamic range and high sensitivity with very high power efficiency and compact size. Fabricated in 0.5 [Formula: see text] CMOS, the circuit was measured to have 164 dB cross-scale dynamic range, 100 fA sensitivity while consuming only 241 [Formula: see text] and 0.157 [Formula: see text] active area per channel. Electrochemical experiments with liquid and gas targets demonstrate the circuit's real-time response to a wide range of analyte concentrations.

Indexed as

Air PollutantsElectrochemical TechniquesEquipment DesignGasesIonic LiquidsModels, TheoreticalVolatile Organic CompoundsAir PollutantsGasesIonic LiquidsVolatile Organic Compounds

Identifiers

PMID27352395
PMCPMC5056750

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.