Nanomaterial enabled sensors for environmental contaminants
(2018) 16:95
Willner and Vikesland J Nanobiotechnol
https://doi.org/10.1186/s12951-018-0419-1
Journal of Nanobiotechnology
Open Access
REVIEW
Nanomaterial enabled sensors
for environmental contaminants
Marjorie R. Willner and Peter J. Vikesland*
Abstract
The need and desire to understand the environment, especially the quality of one’s local water and air, has continued
to expand with the emergence of the digital age. The bottleneck in understanding the environment has switched
from being able to store all of the data collected to collecting enough data on a broad range of contaminants of environmental concern. Nanomaterial enabled sensors represent a suite of technologies developed over the last 15 years
for the highly specific and sensitive detection of environmental contaminants. With the promise of facile, low cost,
field-deployable technology, the ability to quantitatively understand nature in a systematic way will soon be a reality.
In this review, we first introduce nanosensor design before exploring the application of nanosensors for the detection
of three classes of environmental contaminants: pesticides, heavy metals, and pathogens.
Keywords: Nanomaterials, Sensor, Detection, Environment, Pesticides, Heavy metals, Pathogens
Background
Nanomaterial enabled sensors are an exciting technology that provide exquisite detection, on the nanomolar
to sub-picomolar level, of environmental contaminants
[1–5]. Interest in these sensors stems from their potential for facile, in-field contaminant detection without the
need for expensive lab equipment. Many past reviews in
this area have grouped sensors based on the signal transduction method [2–5], nanoparticle backbone [7–10], or
contaminant class [1, 11, 12], thus leaving one important
paradigm virtually untouched: classifying sensors based
on the analyte(s) of interest. Because environmental scientists and engineers are often interested in determining if a specific contaminant exists at a field site and if its
concentration is above the regulatory limit, there was a
need to organize a review based upon the detection of
specific contaminants. This review has been developed
to address these concerns. First, we summarize the general concepts underlying a nano-enabled sensor and then
discuss recent developments in nanomaterial enabled
detection of nine specific analytes: two pesticides, four
*Correspondence:
Department of Civil and Environmental Engineering and the Institute
for Critical Technology and Applied Science, Center for Sustainable
Nanotechnology (VTSuN), Virginia Tech, Blacksburg, USA
metals, and three pathogens. A nearly infinite number of
chemicals of environmental concern exist and although
it would be impossible to outline all of them, the fundamental nanosensor designs can be seen in the examples
outlined within the review. For the reader interested
in nanosensors for pharmaceutical detection we direct
them to the work of Nagaraj et al. [13] and the reviews of
Sanvicens et al. [14] and Cristea et al. on antibiotic detection [15].
Introduction
Nanomaterial enabled sensors consist of three components: a nanomaterial(s), a recognition element that provides specificity, and a signal transduction method that
provides a means of relaying the presence of the analyte
(Fig. 1). These components are not necessarily distinct
entities within a sensor, but every nanosensor can be
characterized on the basis of these three divisions. Sensors can be designed to detect a single analyte or multiple analytes, termed multiplex detection. In addition to
detecting an analyte by producing a signal, a ‘turn-on’ or
‘off/on’ sensor, some of the sensors described below are
based on a ‘turn-off ’ or ‘on/off ’ mechanism, where-by a
decrease in signal indicates the presence of an analyte.
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
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Willner and Vikesland J Nanobiotechnol
(2018) 16:95
Page 2 of 16
NANOSENSOR DESIGN
(i) Environmental Contaminants
Pesticides
Organochlorines
Pyrethroids
Pathogens
Heavy Metals
Legionella pneumophila*
Pseudomonas aeruginosa*
Naegleria fowleri
Escherichia coli
Schistosoma spp.
Vibrio cholerae and Cholera Toxin*
Lead*
Mercury*
Cadmium*
Carbamates*
Neonicotinoids*
Atrazine*
Phenoxy
Organophosphates*
Chromium *
(ii) Number of Analytes Detected
1
>1
Singleplex
Multiplex
(iii) Nanoprobe Design
Nanomaterials
Signal Transduction
Electrochemical
Quantum Dots
Magnetic
Carbonaceous
Noble Metal
Optical
Magnetic
Recognition Elements
Proteins
Aptamers
Antibodies
Enzymes
(iv) Sensor Deployment Format
Solution
Microfluidic Device
Aqueous Phase Inlets
Scaffold/Substrate
Oil Inlet
Conjugation Pad
Sample Pad
Control Line
Test Line
Absorbent Pad
Gold Nanoparticle
Bacteria Cellulose
Hydrogel
Fig. 1 Nanosensor design schematic. First, a class and subsequently a specific contaminant of interest is selected (i). The contaminants discussed in
this review are denoted with an asterisk. Next, the number of analytes to be detected by the sensor is chosen (ii) and then the probe is designed. A
nanoprobe consists of two core elements, a signal transduction method and at least one nanomaterial, and may also include a recognition element
(iii). Ultimately, the sensor deployment format is selected (iv)
Willner and Vikesland J Nanobiotechnol
(2018) 16:95
Nanomaterials
Nanomaterials have enabled advances in sensor design
such as miniaturization, portability, and rapid signal
response times. High surface area to volume ratios and
facile surface functionalization make nanomaterials
highly sensitive to changes in surface chemistry thus enabling nanosensors to achieve extremely low detection
limits. In some cases, the enhanced sensitivity of nanoenabled sensors is due to the fact that nanomaterials are
of a similar size as the analyte of interest (e.g., metal ions,
pathogens, biomolecules, antibodies, DNA) and are thus
capable of interrogating previously unreachable matrices
[4]. We briefly introduce three different general nanomaterial classes: quantum dots (QDs), metal nanoparticles,
and carbonaceous nanomaterials.
Quantum dots
QDs are semiconductor nanocrystals with a typical composition MX where M is commonly cadmium (Cd) or
zinc (Zn) and X is selenium (Se), sulfur (S), or tellurium
(Te). QDs are often coated by a second MX alloy, a shell,
to create core/shell QDs with highly tuned properties.
Common QDs employed in sensor applications include:
CdSe [1 (...truncated)