Pattern recognition of toxic metal ions using a single-probe thiocoumarin array

Smith, David Geoffrey; Mitchell, Linda; New, Elizabeth J.

doi:10.1039/c8an01747f

Cited by 26 publications

(16 citation statements)

References 29 publications

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“…35,36 Cross-reactive arrays are also advantageous in that they are hypothesis-free, meaning that individual interactions between sensors and analytes do not need to be understood to interpret results, facilitating the rapid development of sensor arrays to address emerging analytical challenges. Array-based sensing systems have been reported for a broad range of systems, including analysis of volatile organic compounds and explosives, [37][38][39][40] food and drink analysis, 36,41,42 environmental monitoring [43][44][45] and to probe biological systems. [46][47][48] 1.4 Polymeric receptors -The design of sensor arrays requires the careful selection of sensor materials to ensure stability, system compatibility and recognition ability.…”

Section: Single Sensors Vs Array-based Sensors -mentioning

confidence: 99%

“…[46][47][48] 1.4 Polymeric receptors -The design of sensor arrays requires the careful selection of sensor materials to ensure stability, system compatibility and recognition ability. A range of sensor arrays have been reported using small molecules, 43,44 proteins, 47,48 nanomaterials, [49][50][51][52] quantum dots, 53 and polymers 18 as sensing elements. In this review we focus on the use of synthetic polymers as recognition elements.…”

Section: Single Sensors Vs Array-based Sensors -mentioning

confidence: 99%

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Macromolecular Optical Sensor Arrays

Mitchell

New

Mahon

2021

ACS Appl. Polym. Mater.

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Chemical sensors play an important role in our understanding of chemical and biological systems, providing sensitive and rapid detection of a variety of substrates. Array-based sensing approaches avoid the ongoing challenge of designing and synthesizing selective receptors for particular analytes, a labor-intensive process that can frustrate the development of sensors. Instead, cross-reactive sensor arrays utilize multiple sensing elements that interact uniquely with each analyte and produce a distinct pattern of responses, enabling identification. To date, there are a variety of strategies both to gain cross-reactivity and diversity of sensors required for array-based sensing, and to broaden the scope of analytes for detection. Sensor arrays constructed using macromolecular components, such as polymers and nanoparticles, offer an attractive route to the discrimination of multiple, similar analytes, particularly within the context of biological sensing, where recognition over large areas is often required. Here, we focus on macromolecular sensing arrays underpinned by optical detection methods, which can enable rapid, sensitive detection of a range of analytes. We discuss the current state-ofthe art and explore the challenges to be overcome in translating exciting scientific advances to applications beyond the laboratory.

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Section: Single Sensors Vs Array-based Sensors -mentioning

confidence: 99%

Section: Single Sensors Vs Array-based Sensors -mentioning

confidence: 99%

Macromolecular Optical Sensor Arrays

Mitchell

New

Mahon

2021

ACS Appl. Polym. Mater.

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“…With such an option, it is possible to determine not only the presence of heavy metal ions but also to selectively recognize their kind. This method follows a general concept of the so-called "electronic tongue" [45,46], wherein fluorescent probes or quantum dots are selected so that the array includes probes that are sensitive to various metals. As a signal to process, the fluorescence intensities of the array are extracted to be further treated as a vector by, for instance, linear discriminant analysis (LDA) algorithm, one of the most powerful techniques for pattern recognition [47,48].…”

Section: Introductionmentioning

confidence: 99%

Toward a Selective Analysis of Heavy Metal Salts in Aqueous Media with a Fluorescent Probe Array

Melnikov

Bykov

Varezhnikov

et al. 2022

Sensors

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Detection of heavy meals in aqueous media challenges worldwide research in developing particularly fast and affordable methods. Fluorescent sensors look to be an appropriate instrument for such a task, as recently they have been found to have made large progress in the detection of chemical analytes, primarily in the environment, along with biological fluids, which still suffer from not enough selectivity. In this work, we propose a new fluorescent method to selectively recognize heavy metals in an aqueous solution via employing an array of several fluorescent probes: acridine yellow, eosin, and methylene blue, which were taken as examples, being sensitive to a microsurrounding of the probe molecules. The exemplary sensor array generated six channels of spectral information through the use of various combinations of excitation and detection wavelengths. Following the known multisensor approach, we applied a linear discriminant analysis to selectively distinguish the vector signals from the sensor array from salts of heavy metals—Cu, Pb, Zn, Cd, and Cz—at the concentration ranges of 2.41 × 10−6–1.07 × 10−5 M, 2.8 × 10−5–5.87 × 10−4 M, 1.46 × 10−6–6.46 × 10−6 M, 1.17 × 10−8–5.2 × 10−8 M, and 2.11 × 10−6–9.33 × 10−6 M, respectively. The suggested approach was found to be promising due to it employing only one cuvette containing the test solution, simplifying a sample preparation when compared to preparing a variety of solutions in tests with single fluorescence probes.

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“…One way to achieve discriminative sensing is to develop multi-element sensor arrays, which are inspired by mimicking mammalian taste and smell systems and usually consist of multiple cross-reactive elements that generate a combined recognition pattern for each analyte (Stewart et al, 2013 ; Peveler et al, 2016 ; Rana et al, 2016 ). Another way to realize discriminative sensing is to fabricate an environment-sensitive sensor array, which is constructed by changing the solvents (Cao et al, 2014b , 2020 ; Smith et al, 2019 ), probe concentrations (Li et al, 2014 ), or pH values and ionic strengths (Liu et al, 2017 ; Tomita et al, 2017 ; Zhou et al, 2017 ; Lin et al, 2019 ). The third type of discriminative sensing is multi-wavelength cross-reactive single-system-based sensors, which use multiple wavelengths instead of multi-elements to provide response signals (Wu et al, 2011 ; Rout et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Array-Based Discriminative Optical Biosensors for Identifying Multiple Proteins in Aqueous Solution and Biofluids

Fan

Han

et al. 2020

Front. Chem.

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Identification of proteins is an important issue both in medical research and in clinical practice as a large number of proteins are closely related to various diseases. Optical sensor arrays with recognition ability have been flourished to apply for distinguishing multiple chemically or structurally similar analytes and analyzing unknown or mixed samples. This review gives an overview of the recent development of array-based discriminative optical biosensors for recognizing proteins and their applications in real samples. Based on the number of sensor elements and the complexity of constructing array-based discriminative systems, these biosensors can be divided into three categories, which include multi-element-based sensor arrays, environment-sensitive sensor arrays and multi-wavelength-based single sensing systems. For each strategy, the construction of sensing platform and detection mechanism are particularly introduced. Meanwhile, the differences and connections between different strategies were discussed. An understanding of these aspects may help to facilitate the development of novel discriminative biosensors and expand their application prospects.

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Pattern recognition of toxic metal ions using a single-probe thiocoumarin array

Abstract: A thiocoumarin that exhibits varying fluorescence responses to metal ions in different solvents can be used in a single-probe multiple-solvent array for distinguishing metal ions.

Cited by 26 publications

References 29 publications

Macromolecular Optical Sensor Arrays

Macromolecular Optical Sensor Arrays

Toward a Selective Analysis of Heavy Metal Salts in Aqueous Media with a Fluorescent Probe Array

Array-Based Discriminative Optical Biosensors for Identifying Multiple Proteins in Aqueous Solution and Biofluids

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