Cited by 269Advanced Sensor and Energy Harvesting MaterialsAnalytical Chemistry and SensorsElectrochemical sensors and biosensors

A Textile‐Based Stretchable Multi‐Ion Potentiometric Sensor

Open access
Parrilla, Marc, Cánovas, Rocío, Jeerapan, Itthipon, Andrade, Francisco J., Wang, Joseph·2016·Advanced Healthcare Materials

Abstract

A textile-based wearable multi-ion potentiometric sensor array is described. The printed flexible sensors operate favorably under extreme mechanical strains (that reflect daily activity) while offering attractive real-time noninvasive monitoring of electrolytes such as sodium and potassium.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adhm.201600092

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A mobile 3D motion capture in combination with inertial sensors and electronic shoes was devised to enable diagnosis and analysis of abnormal postures.

    “A mobile 3D motion capture in combination with inertial sensors and electronic shoes was devised to enable diagnosis and analysis of abnormal postures.”

    From Wearables in Medicine (2018) · cites this paper as [40]

    The paper’s Abstract describes a textile-based sensor for monitoring sodium and potassium, not a motion-capture system. Searches for 3D motion capture, inertial sensors, electronic shoes, and abnormal-posture diagnosis found no passage addressing the claim. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Electronic shoes have been designed to monitor human motion and body posture.

    “In another study, electronic shoes have been designed to monitor human motion and body posture.40”

    From Wearables in Medicine (2018) · cites this paper as [40]

    The paper’s Abstract describes a wearable textile sensor for monitoring sodium and potassium, and its device discussion names underwear, watch straps and elastic bands as substrates. Searches for electronic shoes, motion monitoring and posture found no passage addressing the cited claim; the different device described is not evidence that no such shoes exist. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • A CNT printed textile based wearable electrochemical sensor was developed to detect electrolytes (sodium and potassium) in sweat.

    “his team has developed a CNT printed textile based wearable electrochemical sensor to detect electrolytes (sodium and potassium) in sweat.[171]”

    From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [171]

  • The textile sensor can withstand high tensile strain without showing any crack.

    “The sensor can withstand high tensile strain without showing any crack.”

    From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [171]

  • The textile sensor showed a Nernstian response of 59.4 mV/log [Na+] for a linear range (10^-4 to 10^-1 M) with a detection limit 10^-4.9 M for the sodium selective electrode and 56.5 mV/log [K+] for a range 10^-4 to 10^-1 M with detection limit 10^-4.9 M for the potassium selective electrode.

    “The Nernstian response was 59.4 mV/log [Na + ] for a linear range (10 -4 to 10 -1 m) with a detection limit 10 -4.9 m for sodium selective electrode and 56.5 mV/log [K + ] for a range 10 -4 to 10 -1 m with detection limit 10 -4.9 m for the potassium selective electrode.”

    From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [171]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Parrilla, M., Cánovas, R., Jeerapan, I., Andrade, F. J., & Wang, J.
Affiliations
  • University of California San Diego (US)
  • Universitat Rovira i Virgili (ES)
Corresponding author
  • Andrade, Francisco J.
  • Wang, Joseph
Venue
Advanced Healthcare Materials
Publisher
Wiley
Published
2016-03-09
Volume
5
Issue
9
Pages
996-1001
ISSN
  • 2192-2640 (ISSN-L)
  • 2192-2659
OpenAlex
W2295854006
Cited by
269
References
29
Citations by year
2026: 22 · 2025: 23 · 2024: 27 · 2023: 25 · 2022: 27 · 2021: 33 · 2020: 39 · 2019: 26 · 2018: 22 · 2017: 15 · 2016: 10
FWCI
11.73
Type
journal article
Language
en
Open access
Locations
  • Advanced Healthcare Materials (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of Biomedical Imaging and Bioengineering (R21EB019698)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
Keywords
textile sensors, stretchable sensors, potentiometric sensors, electrolyte monitoring, sodium ion detection, potassium sensing, non-invasive monitoring, mechanical strain
MeSH terms
Humans, Monitoring, Physiologic, Potassium, Potentiometry, Sodium, Textiles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review