Evidence map›Paper›PMID 35365672›Full record

ArticleScientific reports2022

Improved calibration of electrochemical aptamer-based sensors.

Alex M Downs, Julian Gerson, Kaylyn K Leung, Kevin M Honeywell, Tod Kippin, Kevin W Plaxco

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

29 citing papers in PubMed, 55 citations in OpenAlex.

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  6. Continuous, Week-Long, Seconds-ResolvedJournal of the American Chemical Society · 2026
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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

6 authors at 1 institution in 1 country.

Alex M DownsDepartment of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Julian GersonDepartment of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Kaylyn K LeungCenter for Bioengineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Kevin M HoneywellDepartment of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Tod KippinDepartment of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Kevin W PlaxcoDepartment of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA. kwp@ucsb.edu.
University of California, Santa Barbara · US

Funding

Bio-electrochemical detectors for in vivo continuous monitoringR01EB022015 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI KIPPIN, TOD EDWARD, PLAXCO, KEVIN W · 2017 to 2025
$4.6M
NIBIB NIH HHS R01 EB022015NIH HHS EB022015
6 · The paper itself

Abstract

Electrochemical aptamer-based (EAB) sensors support the real-time, high frequency measurement of pharmaceuticals and metabolites in-situ in the living body, rendering them a potentially powerful technology for both research and clinical applications. Here we explore quantification using EAB sensors, examining the impact of media selection and temperature on measurement performance. Using freshly-collected, undiluted whole blood at body temperature as both our calibration and measurement conditions, we demonstrate accuracy of better than ± 10% for the measurement of our test bed drug, vancomycin. Comparing titrations collected at room and body temperature, we find that matching the temperature of calibration curve collection to the temperature used during measurements improves quantification by reducing differences in sensor gain and binding curve midpoint. We likewise find that, because blood age impacts the sensor response, calibrating in freshly collected blood can improve quantification. Finally, we demonstrate the use of non-blood proxy media to achieve calibration without the need to collect fresh whole blood.

Indexed as

Aptamers, NucleotideCalibrationVancomycinAptamers, NucleotideVancomycin

Identifiers

PMID35365672
PMCPMC8976050
OpenAlexW4220997945

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.