A Supramolecular Sensing Array for Qualitative and Quantitative Analysis of Organophosphates in Water

Liu, Yuanli; Bonizzoni, Marco

doi:10.1021/ja507905r

Cited by 116 publications

(88 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our knowledge, the only prior use of chemosensor arrays was described by Bonizzoni, who used commercial dyes in PAMAM dendrimers to distinguish one pesticide from methyl phosphate and inorganic phosphate in water. 29 …”

Section: Discussionmentioning

confidence: 99%

DNA as an environmental sensor: detection and identification of pesticide contaminants in water with fluorescent nucleobases

2017

View full text Add to dashboard Cite

Environmental contaminants pose a substantial health risk in many areas of the world. One of these risks is contamination of water with toxic organic species, such as herbicides and insecticides. Here we describe the discovery and properties of a set of fluorescent chemosensors that respond to micromolar concentrations of a broad range of common organic pesticides. The chemosensors are short DNA-like oligomers with fluorophores replacing DNA bases that are assembled via DNA synthesizer. We screened a library of 1296 tetrameric compounds on polystyrene microbeads, and identified a set of chemosensor sequences that respond strongly to a set of structurally varied pesticide analytes. We show that ten chemosensors on beads can be used to detect and identify 14 different common pesticides at 100 µM, using the pattern of fluorescence intensity and wavelength changes. Limits of detection for two analytes were as low as 2 µM. The chemosensors are shown to function successfully in a practical setting, correctly identifying unknown pesticide contaminants in water from Felt Lake, California. The results establish a simple, low cost strategy for sensing environmental spills of toxic organics.

show abstract

Section: Discussionmentioning

confidence: 99%

DNA as an environmental sensor: detection and identification of pesticide contaminants in water with fluorescent nucleobases

2017

View full text Add to dashboard Cite

show abstract

“…80% bound to its receptor to optimize responsiveness and sensitivity of the assay. [44][45][46] With the above binding data in hand, such conditions were easily determined. D-(À)-Fructose was the first sugar studied: as aliquots of a fructose solution were added to an aqueous solution containing [PAMAM-m-baÁML] at pH 7.4, the anisotropy decreased gradually (Fig.…”

Section: Sugar Detectionmentioning

confidence: 99%

Boronic acid-modified poly(amidoamine) dendrimers as sugar-sensing materials in water

Liang

Bonizzoni

2016

J. Mater. Chem. B

View full text Add to dashboard Cite

show abstract

“…The array‐based chemosensors for the identification of multianalyte have become a favorite topic for analysis in recent years since they are able to detect different analytes with high classification precision. More recently, more attention has been directed toward the application of sensor arrays for the simultaneous quantification of compound mixtures …”

Section: Introductionmentioning

confidence: 99%

Model‐based description of indicator displacement assay sensor arrays for quantitation of mixtures

Rostami

Karimvand

Abdollahi

2019

Journal of Chemometrics

View full text Add to dashboard Cite

This paper propounds an approach for the simultaneous analysis of colorless analytes using optical sensor arrays. On the basis of the equilibrium law, the principles of indicator displacement assay (IDA)–based sensor arrays that can be utilized for the efficient quantification of analytes in the mixture solutions through multivariate hard modeling approach are discussed in detail. According to these principles, two different sensor array systems are designed for the simultaneous analysis of the analytes with nonselective signal in the mixtures. Each sensor element of the designed sensor arrays consists of a single indicator and receptor but has different equilibrium environmental conditions. Among all amino acids, only histidine and cysteine reveal significant responses to the Ni‐murexide IDA probe. So, in the first experiment, the Ni‐murexide IDA sensor arrays are applied for the precise and selective quantification of these two amino acids in the mixture solutions. The root mean square error of predictions (RMSEPs) of the prediction dataset obtained by the radial basis function–artificial neural network (RBF‐ANN) model are 3.41% and 4.72% for histidine and cysteine, respectively, in the unknown artificial mixtures. In the second experiment, two metal cations, namely, zinc and cadmium, are simultaneously quantified by another designed IDA‐based sensor array. The metallochromic indicator 4‐(2‐pyridylazo) resorcinol (PAR) is applied in two different equilibrium conditions for each sensor element. The results of predicting these two metals in the unknown mixtures via the RBF‐ANN model are 7.22% and 8.15% for zinc and cadmium, respectively.

show abstract

A Supramolecular Sensing Array for Qualitative and Quantitative Analysis of Organophosphates in Water

Cited by 116 publications

References 58 publications

DNA as an environmental sensor: detection and identification of pesticide contaminants in water with fluorescent nucleobases

DNA as an environmental sensor: detection and identification of pesticide contaminants in water with fluorescent nucleobases

Boronic acid-modified poly(amidoamine) dendrimers as sugar-sensing materials in water

Model‐based description of indicator displacement assay sensor arrays for quantitation of mixtures

Contact Info

Product

Resources

About