Annemarijn Steijlen

Mrs. Annemarijn Steijlen

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
Marc Parrilla PonsMarc Parrilla Pons
Marc Parrilla Pons
ASAnnemarijn Steijlen
Annemarijn Steijlen
RKRobbe Kerremans
Robbe Kerremans
JJJoe Jacobs
Joe Jacobs
LHLouise Den Haan
Louise Den Haan
KWKarolien De Wael
Karolien De Wael

22 January 2025 in Lab on a Chip
Verified
Journal Article
Open access
PDF file
RUR. F. R. Ursem
R. F. R. Ursem
ASAnnemarijn Steijlen
Annemarijn Steijlen
Marc Parrilla PonsMarc Parrilla Pons
Marc Parrilla Pons
JBJ. Bastemeijer
J. Bastemeijer
ABA. Bossche
A. Bossche
KWKarolien De Wael
Karolien De Wael
This review focuses on recent microfluidic flow rate sensing methods for reliable sweat sensing, covering physiological relevance and providing technical insights.

29 April 2022 in Analytical Chemistry
Verified
Journal Article
Open access
ASAnnemarijn Steijlen
Annemarijn Steijlen
KJKaspar M. B. Jansen
Kaspar M. B. Jansen
JBJeroen Bastemeijer
Jeroen Bastemeijer
PFPaddy J. French
Paddy J. French
ABAndre Bossche
Andre Bossche
Sweat sensors allow for new unobtrusive ways to continuously monitor an athlete's performance and health status. Significant advances have been made in the optimization of sensitivity, selectivity, and durability of electrochemical sweat sensors. However, comparing the in situ performance of these sensors in detail remains challenging because standardized sweat measurement methods to validate sweat sensors in a physiological setting do not yet exist. Current collection methods, such as the absorbent patch technique, are prone to contamination and are labor-intensive, which limits the number of samples that can be collected over time for offline reference measurements. We present an easy-to-fabricate sweat collection system that allows for continuous electrochemical monitoring, as well as chronological sampling of sweat for offline analysis. The patch consists of an analysis chamber hosting a conductivity sensor and a sequence of 5 to 10 reservoirs that contain level indicators that monitor the filling speed. After testing the performance of the patch in the laboratory, elaborate physiological validation experiments (3 patch locations, 6 participants) were executed. The continuous sweat conductivity measurements were compared with laboratory [Na+] and [Cl-] measurements of the samples, and a strong linear relationship (R2 = 0.97) was found. Furthermore, sweat rate derived from ventilated capsule measurement at the three locations was compared with patch filling speed and continuous conductivity readings. As expected from the literature, sweat conductivity was linearly related to sweat rate as well. In short, a successfully validated sweat collection patch is presented that enables sensor developers to systematically validate novel sweat sensors in a physiological setting.

29 August 2025 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
Marc Parrilla PonsMarc Parrilla Pons
Marc Parrilla Pons
NCNathalie Claes
Nathalie Claes
Celia Toyos-RodríguezCelia Toyos-Rodríguez
Celia Toyos-Rodríguez
CDCaroline E.M.K. Dricot
Caroline E.M.K. Dricot
ASAnnemarijn Steijlen
Annemarijn Steijlen
KWKarolien De Wael
Karolien De Wael

17 December 2024 in Analytical Chemistry
Verified
Journal Article
Closed access
ASAmadeo Sena-Torralba
Amadeo Sena-Torralba
Marc Parrilla PonsMarc Parrilla Pons
Marc Parrilla Pons
AHAna Hernanz-Grimalt
Ana Hernanz-Grimalt
ASAnnemarijn Steijlen
Annemarijn Steijlen
EOElena Ortiz-Zapater
Elena Ortiz-Zapater
Sergi MoraisSergi Morais
Sergi Morais

30 July 2018 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
ASAnnemarijn Steijlen
Annemarijn Steijlen
Kaspar JansenKaspar Jansen
Kaspar Jansen
AAArmagan Albayrak
Armagan Albayrak
DVDerk Otto Verschure
Derk Otto Verschure
DWDiederik F Van Wijk
Diederik F Van Wijk
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.