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Record W2149280224 · doi:10.1109/icmens.2003.1222002

A novel pH sensor using differential ISFET current mode read-out circuit

2004· article· en· W2149280224 on OpenAlexaff
Yehya H. Ghallab, Wael Badawy, K.V.I.S. Kaler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsISFETTransistorCMOSElectrical engineeringSensitivity (control systems)Computer scienceElectronic circuitCurrent sensorElectronic engineeringField-effect transistorCurrent (fluid)VoltageMaterials scienceEngineering

Abstract

fetched live from OpenAlex

This paper presents a novel differential current mode read-out circuit for the Ion Sensitive Field Effect Transistor (ISFET), as a pH sensor. It uses six Operational Floating Current Conveyors (OFCC), and provides linear sensitivity to pH over a wide range (pH values 2-12). Moreover, it provides an output current that is linearly related to the differential voltage between the ISFET and the Reference Field Effect Transistor (REFET) sensors. The proposed read-out circuit uses only one type of active element (i.e. an OFCC) that makes this circuit easier to be both integrated and fabricated using a conventional CMOS process. Our experimental and simulation results demonstrate that the read-out circuit works reliably and can be a suitable sensor read-out circuit for lab on chip biomedical applications. The read-out circuit connected with the system composed of the ISFET and REFET sensors also reduces the impact of the parameter fluctuations and environment conditions on the performance of the ISFET sensor.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.286
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2004
Admission routes1
Has abstractyes

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