Issue 7, 2019

A unified approach for investigating chemosensor properties – dynamic characteristics

Abstract

Chemosensors are a group of sensors—responsive sensor chemistry, sensor hardware, and software—that report on the composition of solutions and gaseous samples. Dynamic properties are fundamental for all sensor characterization. While electrochemical chemosensors have seen a century of research and are well-described, research on chemosensors using other modes of transductions are still at an early stage. The dynamic properties of chemosensors—independent of their mode of transduction—are not reported consistently in the literature. This makes it impossible to compare sensor performance of chemosensors from different manufacturers and laboratories. To remedy this, standardized experimental methods that exclude the influence of drift and any dependence on activity step change must be used. Subsequently, the resulting data must be treated using a unifying analysis formalism, and robust values must be used to describe chemosensor characteristics. Characterizing the sensor properties in turn enables rationalizing the link between sensor performance and sensor chemistry. Following a review of sensor theory, a thorough discussion of experimental methods and data analysis models for determining dynamic sensor properties, we arrive at evidence-based recommendations for good practice when describing new chemosensors. Adhering to these recommendations, sensor performance can be compared between laboratories, and information on the sensor chemistry may be revealed in the data analysis. This topic is particularly relevant in the rapidly maturing field of optical chemosensors.

Graphical abstract: A unified approach for investigating chemosensor properties – dynamic characteristics

Supplementary files

Article information

Article type
Tutorial Review
Submitted
08 фев 2019
Accepted
21 фев 2019
First published
22 фев 2019

Analyst, 2019,144, 2208-2225

A unified approach for investigating chemosensor properties – dynamic characteristics

C. G. Frankær and T. J. Sørensen, Analyst, 2019, 144, 2208 DOI: 10.1039/C9AN00268E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements