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Quantifying BTEX in aqueous solutions with potentially interfering hydrocarbons using a partially selective sensor

J S Cooper¹, H Kiiveri, L J Hubble

¹CSIRO Manufacturing Flagship, PO Box 218, Lindfield, NSW 2070, Australia. james.cooper@csiro.au.

|March 14, 2015

Summary

This summary is machine-generated.

Gold nanoparticle sensors can detect benzene, toluene, ethylbenzene, p-xylene, and naphthalene (BTEXN) even with other hydrocarbons present. This technology accurately quantifies BTEXN at low concentrations for environmental monitoring.

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Area of Science:

Environmental Science
Nanotechnology
Analytical Chemistry

Background:

Gold nanoparticles offer high sensitivity and selectivity for detecting volatile organic compounds.
Accurate quantification of BTEXN compounds is crucial for environmental monitoring, particularly at petroleum remediation sites.
Existing sensors may face interference from a complex mixture of hydrocarbons.

Purpose of the Study:

To evaluate the performance of gold nanoparticle chemiresistor sensors for quantifying BTEXN analytes in the presence of interfering hydrocarbons.
To determine if the presence of other hydrocarbons affects the sensitivity and selectivity of the sensors.
To assess the accuracy of BTEXN quantification using random forests prediction.

Main Methods:

Fabrication of gold nanoparticle chemiresistor sensors.
Exposure of sensors to unary, binary, ternary, quaternary, and quinary combinations of BTEXN analytes.
Testing sensor response in the presence of 16 other potentially interfering hydrocarbons.
Utilizing a two-level full factorial designed experiment.
Applying the random forests method for concentration prediction.

Main Results:

Gold nanoparticle sensors successfully discriminated and quantified benzene, toluene, ethylbenzene, p-xylene, and naphthalene (BTEXN) at environmentally relevant concentrations (approx. 100 ppb).
The sensors maintained their discriminating power even when 16 other hydrocarbons were present.
Random forests prediction achieved an average root mean square error of 10-20% of component concentrations, irrespective of interfering hydrocarbons.

Conclusions:

Gold nanoparticle chemiresistor sensors demonstrate robust sensitivity and selectivity for BTEXN analytes.
The presence of common interfering hydrocarbons does not significantly impair the performance of these sensors.
This technology shows promise for reliable environmental monitoring of BTEXN compounds at contaminated sites.