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

פרסום מחקרי: פרסום בכתב עת › מאמר › ביקורת עמיתים

42 ציטוטים ‏(Scopus)

תקציר

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.

שפה מקורית	אנגלית
עמודים (מ-עד)	11615-11618
מספר עמודים	4
כתב עת	Chemical Communications
כרך	51
מספר גיליון	58
מזהי עצם דיגיטלי (DOIs)	https://doi.org/10.1039/c5cc04153h
סטטוס פרסום	פורסם - 25 יולי 2015
פורסם באופן חיצוני	כן

גישה למסמך

10.1039/c5cc04153h

קבצים וקישורים אחרים

Link to publication in Scopus

פורמט ציטוט ביבליוגרפי

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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 = "אנגלית",

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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 - https://www.scopus.com/pages/publications/84936166649

U2 - 10.1039/c5cc04153h

DO - 10.1039/c5cc04153h

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C2 - 26096542

AN - SCOPUS:84936166649

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

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