Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Nicole Serio; Daniel F. Moyano; Vincent M. Rotello; Mindy Levine

doi:10.1039/c5cc04153h

Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Nicole Serio, Daniel F. Moyano, Vincent M. Rotello, Mindy Levine

Research output: Contribution to journal › Article › peer-review

Abstract

We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

Original language	English
Pages (from-to)	11615-11618
Number of pages	4
Journal	Chemical Communications
Volume	51
Issue number	58
DOIs	https://doi.org/10.1039/c5cc04153h
State	Published - 25 Jul 2015
Externally published	Yes

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
General Chemistry
Ceramics and Composites
Metals and Alloys
Materials Chemistry
Surfaces, Coatings and Films
Catalysis

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10.1039/c5cc04153h

Cite this

@article{f00a2cc7aa73413095ccfdc9b644e0c2,

title = "Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer",

abstract = "We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100\% accuracy and identified unknown analytes with 96\% accuracy, as well as identifying 92\% of analytes in urine.",

author = "Nicole Serio and Moyano, \{Daniel F.\} and Rotello, \{Vincent M.\} and Mindy Levine",

note = "Publisher Copyright: {\textcopyright} The Royal Society of Chemistry 2015.",

year = "2015",

month = jul,

day = "25",

doi = "10.1039/c5cc04153h",

language = "الإنجليزيّة",

volume = "51",

pages = "11615--11618",

number = "58",

}

TY - JOUR

T1 - Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

AU - Serio, Nicole

AU - Moyano, Daniel F.

AU - Rotello, Vincent M.

AU - Levine, Mindy

N1 - Publisher Copyright: © The Royal Society of Chemistry 2015.

PY - 2015/7/25

Y1 - 2015/7/25

N2 - We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

AB - We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

UR - http://www.scopus.com/inward/record.url?scp=84936166649&partnerID=8YFLogxK

U2 - 10.1039/c5cc04153h

DO - 10.1039/c5cc04153h

M3 - مقالة

C2 - 26096542

SN - 1359-7345

VL - 51

SP - 11615

EP - 11618

JO - Chemical Communications

JF - Chemical Communications

IS - 58

ER -

Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Abstract

All Science Journal Classification (ASJC) codes

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