Array‐Based Sensors

Anzenbacher, Pavel; Palacios, Manuel A.

doi:10.1002/9781118019580.ch17

Cited by 11 publications

(8 citation statements)

References 116 publications

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“…[240] For instance, by using four different IDA chemosensing ensemble, CB7'BC, CB7'MB, CB8'PDI, and CB8'(BC) 2 , it was possible to uniquely identify 10 out of 12 steroids by their differential response in a fluorescence microplate format. [240] For instance, by using four different IDA chemosensing ensemble, CB7'BC, CB7'MB, CB8'PDI, and CB8'(BC) 2 , it was possible to uniquely identify 10 out of 12 steroids by their differential response in a fluorescence microplate format.…”

Section: Mass Spectrometrymentioning

confidence: 99%

Chemical Sensors Based on Cucurbit[n]uril Macrocycles

Sinn

Biedermann

2018

Israel Journal of Chemistry

147

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Cucurbit[n]urils (CBn) are glycoluril‐based macrocyclic hosts that bind many biologically, medicinally and environmentally relevant analytes with record high affinities in aqueous media. They are therefore prime candidates for the design of chemosensors that are operational in biological fluids, waste and drinking water and have promising potential to be utilized for in vitro and in vivo sensing and imaging applications. Unlike protein‐based antibodies, CBn can be prepared in multi kilogram scales, they are chemically robust and they show a desired fast analyte‐binding kinetics. Unlike protein‐based antibodies, CBn can be prepared in multi kilogram scales, are chemically robust and show a desired fast analyte‐binding kinetics Selective analyte detection and differentiation is possible owing to the charge‐ and size‐selective binding characteristics of the CBn members and due to the wide range of cyclic and acyclic CBn derivatives that differ in their analyte binding preference. Because CBn hosts are spectroscopically silent in the visible electromagnetic spectrum, optical signal transduction with CBn based chemosensing ensembles is typically performed by indicator displacement assays (IDA), which are easy to implement and applicable to both aliphatic and aromatic analytes. The extension to array‐based sensing with CBn chemosensors is straightforward. Associative binding assays (ABA), which are uniquely available with CB8‐based self‐assembled receptors offer superior analyte differentiation possibility due to emerging spectral fingerprints in the absorbance, circular dichroism (CD) and emission spectra for the receptor•analyte complexes. Direct signal generation is promising for inherently spectroscopically active analytes, for instance through absorbance, CD, emission and surface enhanced Raman spectroscopy (SERS). Sensitive NMR (19F, 129Xe) techniques, electron spin resonance (ESR), redox, and mass spectrometry are also valuable signal transduction options for specific analytes. CBn based chemosensors were successfully utilized for the monitoring of biophysical processes and enzymatic reactions with label free analytes or substrates in real time. These applications capitalize on the fast equilibration kinetics of CBn‐analyte complexes and the bio‐compatibility of CBn hosts. The tabulated large body of data extracted from reported CBn‐based binding studies is hoped to provide the reader with a valuable starting point for designing practically applicable CBn‐based sensors.

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Section: Mass Spectrometrymentioning

confidence: 99%

Chemical Sensors Based on Cucurbit[n]uril Macrocycles

Sinn

Biedermann

2018

Israel Journal of Chemistry

147

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“…The output of the array can be considered and processed as multidimensional data (multiple outputs from a single input), a feature facilitated through data analysis techniques. 4 This array-based “chemical nose/tongue” approach has emerged from the world of chemometrics, gaining traction in the chemical sensor community in recent years.…”

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confidence: 99%

Selectivity and Specificity: Pros and Cons in Sensing

2016

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Sensing using specific and selective receptors provides two very different but complementary strategies. This Sensor Issues article will discuss the merits and challenges of specific sensors, and selective sensors based on synthetic arrays. We will examine where each has been successfully applied to a sensing challenge, and then look at how a combined approach could take elements of both to provide new sensor platforms.

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“…Several instances including use of lectin arrays have overcome this up to some extent [3]. On the other hand, in the selective strategy, the scientists have used an array-based approach where multiple outputs from a single input could be achieved after creating a fingerprint for that sample by developing differential interaction of each target element with the analytes of interest [4].…”

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confidence: 99%