Evidence mapPaperPMID 42041414Full record

ArticleBiosensors2026

A High-Precision Screen-Printed Glucose Sensor with In Situ Impedance-Based HCT Correction and Temperature Compensation.

Mingxin Lu, Jie Cheng, Qinyao Lei, Jinhong Guo, Kuo Chen

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mingxin LuSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.
Jie ChengSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-2000-5736
Qinyao LeiSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.
Jinhong GuoSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-2659-3150
Kuo ChenSchool of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 404100, China.

Funding

Nation Key R&D Program of China 2023YFF0724300Natural Science Foundation of Chongqing, China CSTB2024NSCQ-JQX0012
6 · The paper itself

Abstract

Hematocrit (HCT) fluctuations and ambient temperature variations are two critical interference factors limiting the accuracy of electrochemical glucose test strips in self-monitoring of blood glucose (SMBG). In this study, a high-precision screen-printed glucose sensor incorporating in situ impedance-based HCT correction and temperature compensation was developed. The system employs a time-division multiplexing strategy, integrating a normalized thermodynamic model and an in situ impedance-based HCT correction algorithm, to achieve synergistic decoupling and precise compensation of temperature and HCT interferences. Experimental results demonstrate that after multi-parameter synergistic correction, the system exhibits excellent stability across a wide temperature range (10-35 °C) and a broad HCT range (10-70%). The accuracy indicators significantly surpass ISO 15197:2013 standards. In contrast, uncorrected measurements showed deviations ranging from approximately -80% to +30% due to HCT fluctuations. This multiple correction strategy effectively resolves systematic errors in whole blood testing without increasing electrode complexity or requiring pretreatment steps, providing a robust technical solution for high-precision, low-cost personal glucose monitoring.

Indexed as

Biosensing TechniquesBlood GlucoseAlgorithmsBlood Glucose Self-MonitoringElectric ImpedanceElectrodesGlucoseHematocritHumansTemperatureBlood GlucoseGlucoseelectrochemical glucose sensorhematocrit correctionin situ impedance measurementPOCTtemperature compensation

Identifiers

PMID42041414
PMCPMC13114136

What Socratic holds

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LicenceCC BY
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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 Socratic graph.