An Optical Sensor Array Discriminates Syrups and Honeys

Bojanowski, N. Maximilian; Hainer, Felix; Bender, Markus; Seehafer, Kai; Bunz, Uwe H. F.

doi:10.1002/chem.201706099

Cited by 17 publications

(14 citation statements)

References 33 publications

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“…Figure 6b shows commonly used π‐CPs in the design of the sensor, including polyaniline (PAni), polythiophene, polypyrrole, polydiacetylene (PDA), polyfluorene and poly ( p ‐phenylene ethynylene) (PPE). [ 29,31,83–86 ] Functional groups can be further incorporated into the side chains of π‐CP to impart properties such as hydrophilicity and bonding site.…”

Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

“…In recent years, Bunz and coworkers reported the use of conjugated polymers in multisensory applications, in which a series of conjugated polymers that could respond to multiple analytes were selected to construct sensor arrays. [ 86,89–92 ] The sensor arrays interacted with analytes in a non‐selective manner by the change of color, emission wavelength, and emission intensity. And these collected data were further treated by sophisticated statistical methods such as principal component analysis (PCA) and linear discriminant analysis (LDA).…”

Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

“…When reacting with an analyte, the response of single element in arrays was not specific, while the response pattern of sensor arrays was specific. And these sensor arrays have been employed to identify complex systems, including saccharides, [ 89 ] syrups and honeys, [ 86 ] organic acids, [ 90 ] fruit juices, [ 91 ] and bacteria in urine. [ 92 ]…”

Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

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Functional Polymers and Polymer–Dye Composites for Food Sensing

Zhang

Chan-Park

Wang

2020

Macromol. Rapid Commun.

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The sensitive, safe, and portable detection of food spoilage is becoming unprecedentedly important because it is closely related to the public health and economic development, particularly given the globalization of food supply chain. However, the existing approaches for food monitoring are still limited to meet these requirements. To address this challenge, much research has been done to develop an ideal food sensor that can indicate food quality in real‐time in a sensitive and reliable way. So far, many sensors such as time–temperature indicators, smart trademarks, colorimetric tags, electronic noses, and electronic tongues, have been developed and even commercialized. In this feature article, the recent progress of food sensors based on functional polymers, including the molecular design of polymer structures, sensing mechanisms, and relevant processing techniques to fabricate a variety of food sensor devices is reviewed.

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Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

Section: Food Sensors Based On π‐Conjugated Polymersmentioning

confidence: 99%

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Functional Polymers and Polymer–Dye Composites for Food Sensing

Zhang

Chan-Park

Wang

2020

Macromol. Rapid Commun.

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“…[21] Additionally, in some recent studies, optical sensor arrays have been used as saccharide recognizers. [22][23][24] These arrays show many advantages when monitoring food safety and quality, and can be changed directly with a series of cross-reactive and chemical reactive dye colours [15] ; in addition, they can be measured directly through the 'naked eye' coupled with digital imaging. However, many common chemical dyes, such as porphyrin and phthalocyanine, still involve several problems.…”

Section: Introductionmentioning

confidence: 99%

A colorimetric sensor array based on natural pigments for the discrimination of saccharides

Yan

Zhang

et al. 2020

Luminescence

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A colorimetric sensor array based on natural pigments was developed to discriminate between various saccharides. Anthocyanins, pH‐sensitive natural pigments, were extracted from fruits and flowers and used as components of the sensor array. Variation in pH, due to the reaction between saccharides and boronic acids, caused obvious colour changes in the natural pigments. Only by observing the difference map with the naked eye could 11 common saccharides be divided into independent individuals. In conjunction with pattern recognition, the sensor array clearly differentiated between sugar and sugar alcohol with highly accuracy and allowed rapid quantification of different concentrations of maltitol and fructose. This sensor array for saccharides is expected to become a promising alternative tool for food monitoring. The link between anthocyanin and saccharide detection opened a new guiding direction for the application of anthocyanins in foods.

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“…The array-based approach, − a method which relies on “differential” sensing rather than being “specific”, has recently emerged as an important concept for cellular discrimination. ,− Cross-reactive synthetic receptors are utilized for designing arrays to detect analytes, where the differential interaction of analytes with sensor elements creates a pattern of response for analyte identification. In the frame of cellular diagnostics, this unbiased array-based “differential” discrimination approach precludes the necessity of a hypothesis-driven (i.e., based on specific biomarkers) prediction strategy. , Conventional array-based cell sensing strategies employ spatially discrete sensor units for generating response patterns.…”

mentioning

confidence: 99%

Multichannel DNA Sensor Array Fingerprints Cell States and Identifies Pharmacological Effectors of Catabolic Processes

Saha¹,

Sasmal²,

Meethal³

et al. 2019

ACS Sens.

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Cells at disease onset are often associated with subtle changes in the expression level of a single or few molecular components, making traditionally used biomarker-driven clinical diagnosis a challenging task. We demonstrate here the design of a DNA nanosensor array with multichannel output that identifies the normal or pathological state of a cell based on the alteration of its global proteomic signature. Fluorophore-encoded single-stranded DNA (ssDNA) strands were coupled via supramolecular interaction with a surface-functionalized gold nanoparticle quencher to generate this integrated sensor array. In this design, ssDNA sequences exhibit dual roles, where they provide differential affinities with the receptor gold nanoparticle as well as act as transducer elements. The unique interaction mode of the analyte molecules disrupts the noncovalent supramolecular complexation, generating simultaneous multichannel fluorescence output to enable signature-based analyte identification via a linear discriminant analysis-based machine learning algorithm. Different cell types, particularly normal and cancerous cells, were effectively distinguished using their fluorescent fingerprints. Additionally, this DNA sensor array displayed excellent sensitivity to identify cellular alterations associated with chemical modulation of catabolic processes. Importantly, pharmacological effectors, which could modulate autophagic flux, have been effectively distinguished by generating responses from their global protein signatures. Taken together, these studies demonstrate that our multichannel DNA nanosensor is well suited for rapid identification of subtle changes in a complex mixture and thus can be readily expanded for point-of-care clinical diagnosis, high-throughput drug screening, or predicting the therapeutic outcome from a limited sample volume.

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An Optical Sensor Array Discriminates Syrups and Honeys

Cited by 17 publications

References 33 publications

Functional Polymers and Polymer–Dye Composites for Food Sensing

Functional Polymers and Polymer–Dye Composites for Food Sensing

A colorimetric sensor array based on natural pigments for the discrimination of saccharides

Multichannel DNA Sensor Array Fingerprints Cell States and Identifies Pharmacological Effectors of Catabolic Processes

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