Evidence map›Paper›PMID 42817464›Full record

ArticleSensors (Basel, Switzerland)2026

A Portable Electrical Response Verification System for Blood Glucose Meters Based on Dynamic Microcurrent Reproduction.

Wenshu Yue, Yifan Li, Jinhui Cai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
0cells of the map it votes in
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

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

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

3 authors.

Wenshu YueCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.
Yifan LiCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-6214-8428
Jinhui CaiCollege of Metrology Measurement and Instrument, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0003-2881-2927

Funding

National Key R&D Program of China 2024YFF0617002National Natural Science Foundation of China 51905514
6 · The paper itself

Abstract

Portable blood glucose meters are commonly evaluated using test strips and control solutions, which assess the combined meter-strip-reagent response but are not designed to provide a directly controlled, pre-characterized electrical stimulus for repeated meter-side verification. This study developed a portable electrical response verification system based on dynamic microcurrent reproduction using a calibrated programmable current source. At each of two control solution levels, five 1000-point test strip current responses were acquired. Each response was reduced to 100 points by averaging every 10 consecutive samples, and the five reduced responses were then averaged point by point to obtain one level-specific mean reference waveform. Each mean waveform was converted into a 100-point DAC code table for STM32-controlled reproduction. The current source provided a measured output range of 0.016-9.829 μA. Five repeated reproductions per level yielded mean Pearson correlation coefficients of 0.9993 and 0.9995 and peak current CV values of 2.52% and 1.59%, respectively. The corresponding GA-3 meter (Sinocare Inc., Changsha, Hunan, China) readings differed from the mean original readings by 1.70% and 1.18%, with CV values of 1.81% and 1.29%. These results support the feasibility of controlled electrical response verification and short-term repeatability assessment of strip-based blood glucose meters.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringElectricityHumansBlood Glucoseblood glucose meterDAC code tabledynamic microcurrent reproductionelectrical response verificationprogrammable current source

Identifiers

PMID42817464
PMCPMC13611197

What OpenQuestion holds

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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 OpenQuestion graph.