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Cited by 308

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Wireless chemical sensors and biosensors: A review

Kassal, Petar, Steinberg, Matthew D., Steinberg, Ivana Murković·2018·Sensors and Actuators B: Chemical

Abstract

Abstract Parallel advances in chemical sensing and wireless communication technologies have sparked the development of wireless chemical sensors (WCSs). These hybrid devices enable wireless determination, collection and distribution of (bio)chemical analytical information in a way that is significantly impacting the Sensor Internet of Things with applications in healthcare, defence, sport, the environment, and agriculture. Challenges and examples for each of the major chemical sensor and major radio technologies related to different application areas are reviewed, including the latest trends emerging from wearable sensors. The review focuses on radio-based WCSs, and finds that ubiquitous wireless technologies such as Bluetooth, ZigBee, radio-frequency identification (RFID) and near-field communication (NFC) are helping make analytical (bio)chemical sensing appropriate and realistic for mass market adoption, in particular for two major classes of chemical sensor – electrochemical and optical. The review provides an in-depth analysis of academic WCS research publications over the ten year period 2007–2017.

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Metadata

Authors
Kassal, P., Steinberg, M. D., & Steinberg, I. M.
Venue
Sensors and Actuators B: Chemical
Publisher
Elsevier BV
Published
2018-08
Volume
266
Pages
228-245
ISSN
0925-4005 (ISSN-L)
OpenAlex
W2790021840
Cited by
308
References
93
FWCI
22.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wireless chemical sensors and biosensors: A review. https://app.cochat.ai/papers/10.1016/j.snb.2018.03.074
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Kassal, P., Steinberg, M. D., & Steinberg, I. M. (2018). Wireless chemical sensors and biosensors: A review. Sensors and Actuators B: Chemical. https://doi.org/10.1016/j.snb.2018.03.074

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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