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CMOS Multi-Frequency Lock-in Sensor for Impedance Spectroscopy in Microbiology Applications

2022· article· en· W4292071972 on OpenAlexaff
S. Nazila Hosseini, Vahid Khojasteh Lazarjan, M. Makhdoumi Akram, Benoit Gosselin

Bibliographic record

Venue2022 20th IEEE Interregional NEWCAS Conference (NEWCAS) · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTransimpedance amplifierInstrumentation amplifierAmplifierLock-in amplifierElectrical engineeringMaterials scienceCMOSElectronic engineeringOptoelectronicsEngineeringOperational amplifier

Abstract

fetched live from OpenAlex

This paper presents the design of a CMOS lock-in amplifier (LIA) encapsulated with an impedance sensor for microbial monitoring applications. The custom integrated LIA is designed and fabricated in a 0.18-µm CMOS technology. It includes a fully differential switched-capacitor transimpedance amplifier as the main building block of the lock-in amplifier. In this design, chopper stabilization is used in the capacitive transimpedance amplifier to reduce the noise and improve the sensor's sensitivity. The proposed LIA contains a band-pass filter with 0.88 quality factor to pass signals at selectable center frequencies of 1, 2, 4, and 10 kHz; a programmable gain amplifier, a mixer, and a low-pass filter to extract impedance changes caused by microorganism growth at different frequencies. The transimpedance amplifier has a gain of 54.86 dB, and an input-referred noise of 58 pA/√Hz at 1 kHz. The whole sensor has a sensitivity of 240 mV/nA. It consumes a power of 817.56 µW from a 1.8V power supply and has a total harmonic distortion of -72.7 dB.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.274
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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

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