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Issue 9, 2007
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Development of a nanomechanical biosensor for analysis of endocrine disrupting chemicals

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Abstract

A nanomechanical transducer is developed to detect and screen endocrine disrupting chemicals (EDCs) combining fluidic sample injection and delivery with bioreceptor protein functionalized microcantilevers (MCs). The adverse affects of EDCs on the endocrine system of humans, livestock, and wildlife provides strong motivation for advances in analytical detection and monitoring techniques. The combination of protein receptors, which include estrogen receptor alpha (ER-α) and estrogen receptor beta (ER-β), as well as monoclonal antibodies (Ab), with MC systems employing modified nanostructured surfaces provides for excellent nanomechanical response sensitivity and the inherent selectivity of biospecific receptor–EDC interactions. The observed ranking of binding interaction of the tested EDCs with ER-β is diethylstilbestrol (DES) > 17-β-estradiol > 17-α-estradiol > 2-OH-estrone > bisphenol A > p,p′-dichlorodiphenyldichloroethylene (p,p′-DDE) with measurements exhibiting intra-day RSDs of about 3%. A comparison of responses of three EDCs, which include 17-β-estradiol, 17-α-estradiol, and 2-OH-estrone, with ER-β and ER-α illustrates which estrogen receptor subtype provides the greatest sensitivity. Antibodies specific to a particular EDC can also be used for analyte specific screening. Calibration plots for a MC functionalized with anti-17-β-estradiol Ab show responses in the range of 1 × 10−11 through 1 × 10−7 M for 17-β-estradiol with a linear portion extending over two orders of magnitude in concentration.

Graphical abstract: Development of a nanomechanical biosensor for analysis of endocrine disrupting chemicals

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Publication details

The article was received on 29 Mar 2007, accepted on 07 Jun 2007 and first published on 22 Jun 2007


Article type: Paper
DOI: 10.1039/B704723A
Citation: Lab Chip, 2007,7, 1184-1191

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    Development of a nanomechanical biosensor for analysis of endocrine disrupting chemicals

    P. Dutta, K. Hill, P. G. Datskos and M. J. Sepaniak, Lab Chip, 2007, 7, 1184
    DOI: 10.1039/B704723A

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