Evidence map›Paper›PMID 36772835›Full record

ArticleJournal of diabetes science and technology2024

Highly Miniaturized, Low-Power CMOS ASIC Chip for Long-Term Continuous Glucose Monitoring.

Raja Hari Gudlavalleti, Xiangyi Xi, Allen Legassey, Pik-Yiu Chan, Jin Li, Diane Burgess, Charles Giardina, Fotios Papadimitrakopoulos, Faquir Jain

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Raja Hari GudlavalletiUniversity of Connecticut, Storrs, CT, USA.ORCID 0000-0002-7727-8030
Xiangyi XiUniversity of Connecticut, Storrs, CT, USA.
Allen LegasseyBiorasis Inc., Storrs, CT, USA.
Pik-Yiu ChanUniversity of Connecticut, Storrs, CT, USA.
Jin LiUniversity of Connecticut, Storrs, CT, USA.
Diane BurgessUniversity of Connecticut, Storrs, CT, USA.ORCID 0000-0002-6471-2109
Charles GiardinaUniversity of Connecticut, Storrs, CT, USA.
Fotios PapadimitrakopoulosUniversity of Connecticut, Storrs, CT, USA.
Faquir JainUniversity of Connecticut, Storrs, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this work is to develop a highly miniaturized, low-power, biosensing platform for continuous glucose monitoring (CGM). This platform is based on an application-specific integrated circuit (ASIC) chip that interfaces with an amperometric glucose-sensing element. To reduce both size and power requirements, this custom ASIC chip was implemented using 65-nm complementary metal oxide semiconductor (CMOS) technology node. Interfacing this chip to a frequency-counting microprocessor with storage capabilities, a miniaturized transcutaneous CGM system can be constructed for small laboratory animals, with long battery life.

methodA 0.45 mm × 1.12 mm custom ASIC chip was first designed and implemented using the Taiwan Semiconductor Manufacturing Company (TSMC) 65-nm CMOS technology node. This ASIC chip was then interfaced with a multi-layer amperometric glucose-sensing element and a frequency-counting microprocessor with storage capabilities. Variation in glucose levels generates a linear increase in frequency response of this ASIC chip. In vivo experiments were conducted in healthy Sprague Dawley rats.

resultsThis highly miniaturized, 65-nm custom ASIC chip has an overall power consumption of circa 36 µW. In vitro testing shows that this ASIC chip produces a linear (

conclusionsThe miniature footprint of the biosensor platform, together with its low-power consumption, renders this CMOS ASIC chip a versatile platform for a variety of highly miniaturized devices, intended to improve the quality of life of patients with type 1 and type 2 diabetes.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringSemiconductorsAnimalsContinuous Glucose MonitoringEquipment DesignMaleMiniaturizationRatsRats, Sprague-DawleyBlood Glucoseamperometric sensingbiosensorcontinuous glucose monitoring (CGM)electrochemical sensorsglucose sensingimplantable microsystems

Identifiers

PMID36772835
PMCPMC11418493

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.