journal article·2018-06-27

Tailoring MWCNTs and β-Cyclodextrin for Sensitive Detection of Acetaminophen and Estrogen

Arif Ul Alam, Yiheng Qin, Massimo Catalano, Luhua Wang, Moon J. Kim, Matiar M. R. Howlader, Nan-Xing Hu, M. Jamal Deen

ACS Applied Materials & Interfaces· Volume 10· Issue 25
Publisher page

Abstract

Monitoring of trace amount of acetaminophen and estrogen in drinking water is of great importance because of their potential links to gastrointestinal diseases and breast and prostate cancers. The sensitive and accurate detection of acetaminophen and estrogen requires the development of advanced sensing materials that possess appropriate number of analyte-capturing sites and suitable signal conduction path. This can be achieved by implementing appropriate chemical attachment of multiwalled carbon nanotubes (MWCNTs) and β-cyclodextrin (βCD). Here, we report a systematic investigation of four types of modified MWCNT-βCD: (1) physical mixing, (2) "click reaction", (3) thionyl chloride esterification, and (4) Steglich esterification. The Steglich esterification is a one-step approach with shorter reaction time, lower reaction temperature, and eliminates handling of air/moisture-sensitive reagents. MWCNT-βCD prepared by Steglich esterification possessed moderate βCD loading (5-10 wt %), large effective surface area, and fast electron transfer. The host-guest interaction of βCD and redox properties of MWCNT enabled sensitive detection of acetaminophen and 17β-estradiol (E2 is a primary female sex hormone) in the range of 0.005-20 and 0.01-15 μM, with low detection limits of 3.3 and 2.5 nM, respectively. We demonstrated accurate detection results of pharmaceutical compositions in water and urine samples. These results indicate that Steglich esterification method may be applied in fabricating pharmaceutical contaminants sensors for health and environmental applications.
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Research context

OpenAlex topics: Electrochemical sensors and biosensors · Pharmacological Effects and Assays · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada

Advanced Materials Laboratory, Xerox Research Centre of Canada, 2660 Speakman Drive, Mississauga, Ontario L5K 2L1, Canada

Department of Materials Science and Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas 75080, United States

CNR-IMM, Via Monteroni, ed.A3, Lecce 73100, Italy

Funding

Canada Research Chairs · Natural Sciences and Engineering Research Council of Canada · Federal Economic Development Agency for Southern Ontario · India-Canada Centre for Innovative Multidisciplinary Partnerships to Accelerate Community Transformation and Sustainability · Ontario Research Fund

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