Accepted Manuscript Gold nanoparticle-based optical sensors for selected anionic contaminants Cheng Fang, Rajarathnam Dharmarajan, Megharaj Mallavarapu, Ravi Naidu PII:
S0165-9936(16)30238-2
DOI:
10.1016/j.trac.2016.10.008
Reference:
TRAC 14842
To appear in:
Trends in Analytical Chemistry
Received Date: 1 September 2016 Revised Date:
13 October 2016
Accepted Date: 20 October 2016
Please cite this article as: C. Fang, R. Dharmarajan, M. Mallavarapu, R. Naidu, Gold nanoparticle-based optical sensors for selected anionic contaminants, Trends in Analytical Chemistry (2016), doi: 10.1016/ j.trac.2016.10.008. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT 1
Gold nanoparticle-based optical sensors for selected anionic contaminants
2
Cheng Fang1,2*, Rajarathnam Dharmarajan1,2, Megharaj Mallavarapu1,2 and Ravi Naidu1,2
3
1
4
(CRC CARE), University of Newcastle, Callaghan NSW 2308, Australia
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2
6
2308, Australia
7
Abstract: Nano-sensors have received intensive attention due to their unique sensitivity and selectivity,
8
which mainly originate from modifications and reactions that occur at nano scales. An important
9
ingredient for these sensors are gold nanoparticles which have been developed as the core material to
10
detect anions, in particular in contaminated water. Especially these nano-sensors find specific
11
applications for selected harmful anions which include a controlled anion F-, toxic contaminants CN-
12
and AsO33-/AsO43-, and anionic fluorosurfactants. The anionic fluorosurfactants mainly include
13
perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), both of which have recently
14
been listed as emerging contaminants and categorised as persistent organic pollutants. This review
15
addresses recent advancements in the development of gold nanoparticle based nano-sensors for such
16
anions and their performance limitations towards on-site applications.
18 19
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Global Centre for Environmental Remediation (GCER), University of Newcastle, Callaghan NSW
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Cooperative Research Centre for Contamination Assessment and Remediation of the Environment
Keyword: Gold nanoparticle, sensor, fluoride, cyanide, arsenic, fluorosurfactants, on-site applications
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Abbreviations: AuNP, gold nanoparticle; PFAS, Poly- and perfluoroalkyl substance; PFOS,
21
perfluorooctane sulfonate; PFOA, perfluorooctanoic acid PFOA; AFFF, aqueous film-forming foam;
22
LOD, limit of detection; SAM, self-assembled monolayer; QD, quantum dot; DLS, dynamic light
23
scattering; HEPES, 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid; DMF, dimethylformamide;
24
PBS, phosphate-buffered saline buffer;
25
polyvinypyrrolidone; GSH, glutathione; DTT, DL-dithiothreitol; Cys, cysteine; PDCA, 2,6-
26
pyridinedicarboxylic acid; MOPS, 3-(N-morpholino)propanesulfonic acid; RS, resonance scattering;
27
CTAB, hexadecyltrimethylammonium bormide; ppt, part per trillion; ppb, part per billion; ppm, part
28
per million; FRET, fluorescence resonance energy transfer; AuNC, gold nanocluster; BR buffer,
29
Britton-Robinson buffer; AgNP, silver nanoparticle; MIP, molecular imprinting polymer; ECL,
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electrochemiluminescence;
31
indicated or applied. USEPA, US environmental protection agency; WHO, world health organization.
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ethylenediaminetetraacetic acid; PVP,
PPARα, peroxisomal proliferator-activated receptor-alpha. NIL, not
32
34
EDTA,
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1. Introduction
40
1.1. Anion contamination
41
Water is the origin of life and a key substance for the health of our planet. Nevertheless, it is estimated
42
that over 10 million tonnes of toxic chemicals are released into aquatic environments every year as a
43
consequence of anthropogenic activities [1-3]. New chemicals are constantly being produced, and it is
44
essential that the dynamics of these chemicals / contaminants in the environment are assessed in order
45
to quantify their risks to human and environmental health.
46
Furthermore, ongoing research continues to improve our understanding of past and emerging
47
contaminants. Consequently, concerns about water contamination have attracted increasing attention
48
[4], which can be evidenced from the recent virtual issue of “water analysis for emerging chemical
49
contaminants”[5], and biennial reviews “water analysis: emerging contaminants and current issues” [6,
50
7].
51
For water contamination, monitoring anions in particular, along with surfactants, represent a large
52
family of contaminants and pose a major challenge. They are generally crucial to physiological
53
function as well as to various industrial processes. Anions can be either essential to sustained growth,
54
act as harmful contaminants (such as CN- and AsO33-/AsO43-), or regulate to control the concentration
55
level (such as F-). Herein, we will review recent sensor developments using nanoparticles for the
56
detection of anions, including a controlled anion (F-), a harmful contaminant (CN-), an extremely
57
toxic contaminant (AsO33- or AsO43-) and a family of anionic fluorosurfactants. Among them, F- is
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encountered by us daily, CN- and AsO33-/AsO43- are of high risk whilst fluorosurfactants are bio-
59
accumulative, highly persistent and detected globally.
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ACCEPTED MANUSCRIPT 1.2. Gold nanoparticles (AuNP) - based sensors
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The standard testing methods for anions involve chromatography [8], electrophoresis [9], ion-
62
selective electrode [10], atomic absorption spectrum, ICP-MS etc. [6, 7]. However, these are generally
63
expensive and time consuming and further are normally unsuitable for on-site field applications. For
64
on-site applications there have been several attempts to develop sensors which help to pre-screen the
65
potential anionic contaminants rapidly [8, 10, 11].
66
For anion sensors, different types of organic-dye types were developed based on visible color changes.
67
These can be classified into several categories such as NH-based hydrogen bonding dyes, Lewis acid-
68
base dyes, metal-ion-templated dyes and transition metal complex dyes [12-14]. The basic concept is
69
to convert the binding event or recognition phenomena to optical signals for detection [15]. Usually
70
these organic dyes are synthesised and dissolved in organic solvents. Along with their stability
71
concerns, there are other drawbacks, such as toxic concerns, specificity and sensitivity concerns,
72
which might restrict their application, particularly for on-site environmental monitoring.
73
Consequently, inorganic dyes, such as quantum dots (QTs), nanoparticles (NPs) and nanoclusters [16,
74
17] [18] have achieved significant success recently.
75
Amongst nanoparticle developments gold nanoparticles (AuNPs) are the most stable nanoparticles so
76
far with features of having a large surface area, strong adsorption and stability, which enable them to
77
be functionalised for selective testing. Due to their nano size, the functionalisation can be carried out
78
at nearly molecular-level, which makes them suitable for ultrasensitive detection. Other highlights
79
include a unique shape, size-dependent optical properties, hyper-quenching ability for fluorescence,
80
and surface-enhanced Raman scattering (SERS) capability [19-22]. More importantly
81
absorption is located in the visible region whilst devoid of any proven toxicity [23, 24].
82
Optical properties, when dominated by the surface plasmon or inter-particle plasmon, are drastically
83
influenced by the surface environment of the nanomaterials, which offer a path for making tools to
84
monitor the chemicals and other substances if they enable the modification of the surface environment
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AuNP’s
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ACCEPTED MANUSCRIPT [20-22]. For example, based on the AuNP aggregation that is tuned by the molecular recognition
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event, a detection limit of 50 fM (10-15 M) using UV-vis spectrometer and 10 pM (10-12 M) by the
87
naked eye has been reported [25].
88
Several types of optical sensors were fabricated using AuNP as the test platform for anions [23, 24].
89
The recognition event for targeted anions include induced aggregating, anion binding, releasing (of
90
dye or others) and etching of AuNP as well (Figure 1). In certain instances bio-recognition might also
91
be involved, such as the pregnancy test, which has been in practice for decades. When the native
92
inherent optical properties of AuNP cannot feature the detection capability to produce an observable
93
signal, a dye or probe can be introduced into the matrix to make it possible, as listed in Table 1. The
94
recognition events by these materials and hence the type of sensing materials are classified based on
95
phenomena such as (i) colorimetric, which utilise the color changes of the AuNP matrix solution and
96
which is usually accompanied with UV-vis [25]; (ii) scattering, including elastic scattering (without
97
wavelength change from the stimulation illumination), inelastic scattering (with wavelength change,
98
such as Surface Enhanced Raman Scattering (SERS)) and dynamic light scattering (DLS) and (iii)
99
fluorescence through the emission after being excited. However, for SERS and fluorescence testing
100
specific setups and devices are needed, which might inhibit their on-site applications. Though there
101
are various other optical detection methods, such as infrared spectroscopy, luminescence spectroscopy,
102
surface plasmon resonance, etc., detailing those is out of the scope of the present review which
103
confines to the optical sensing methods with AuNP’s direct contribution.
104
Furthermore, for the application through fluorescence detection, AuNP can easily quench the
105
fluorescence due to fluorescence resonance energy transfer (FRET) [23, 24]. FRET is a non-radiative
106
process where an excited state donor (such as dye) transfers energy to a proximal ground state through
107
long-range dipole-dipole interactions with AuNP as acceptor. Therefore, the fluorescence will be
108
quenched on the AuNP surface unless the fluorophore can be replaced and released into the solution,
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which is the general approach for the AuNP-based FRET test, as shown in Figure 2.
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Figure 1. Schematic drawing of the AuNP-based sensing process.
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Figure 2. Schematic drawing of FRET. Fluorophores are released due to replacement or etching.
Table 1. Matrix of AuNP-based sensors depending on detection approaches and dye.
Detection
Example
Without dye
With dye
approach
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Color change due to
Dye enhances the color
reading
surface plasmon, such change as aggregation
or UV/vis Target’s Raman
Dye as Raman probe,
signal
aggregation induced
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enhancement No signal except gold
FRET
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Dye as fluorophore,
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Fluorescence
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1.3. Sensing Anions: F-, CN-, AsO33-/AsO43- and PFOS / PFOA
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Figure 1 depicts the AuNP-based sensing process which differs from the dye-based approach. In the
120
latter case, for example, the selective detection of F- and CN- are usually based on their high negative
121
charge density, which brings about the strong H-bond with the –NH– (and similar) groups in the
122
sensing dyes [12-14]. In the former case, F- may be detected through the dye based sensors and CN-
123
can be detected through the coordination capacity of CN- which enables it to etch and dissolve notable
124
metals including AuNP. ‘Anions’ is rather a big family of compounds and the present review is
125
pertained to toxic and harmful anionic species enabling them to be screened in a rapid manner through
126
novel AuNP based sensing techniques.
127
Apart from these inorganic anions a family of organic anionic substances, poly- and perfluoroalkyl
128
substances (PFASs), have received much attention in the past decade due to their persistent nature and
129
suspected toxicities to human health and the ecosystem. PFASs have found many applications and are
130
the key ingredients of aqueous film-forming foams (AFFFs) acting as oxygen suppressing surfactants
131
and are commonly used in fire-fighting [2, 3]. Unfortunately their widespread use in fire-fighting, as
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133
perfluorooctanoate and fluoropolymer dispersion, has led to their global distribution and accumulation
134
in the environment due to their inert fluorocarbon skeleton [26-29]. Specific attention has been given
135
to perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) which have been formulated
136
in AFFFs as fluorosurfactants and are known to have entered ecosystems and food chains as anions.
137
Thus their continuous monitoring has become routine with many regulatory authorities and
138
developing improved sensor materials for them has gained increased attention as well. 2. AuNP-based sensors for fluoride (F-) ions
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Fluoride (F-) is the smallest anion with high charge density and hard Lewis base nature, making it
141
unique compared to other anions. Water fluoridation has beneficial effects to dental caries, contrarily
142
its excessive intake give rise to dental / skeletal fluorosis, osteoporosis, and inhibition of
143
neurotransmitter biosynthesis in foetuses [30]. The maximum daily intake concentration is
144
recommended at 4 ppm (part per million) by the US environmental protection agency (USEPA).
145
USEPA has approved use of the ion-selective electrode [31] and SPADNS Zirconium [32] for F-
146
detection. The latter method is based on the reaction of F- with a dark red zirconium-dye complex,
147
where F- combines with the zirconium ion and detaches it from the SPADNS-zirconium to form a
148
colorless zirconium-fluoride complex. The subsequent colorimetric change is monitored. A similar
149
approach, using zirconium xylenol orange reagent as dye, has been combined with a smartphone for
150
an on-site test in the range of 0-2 ppm [33].
151
When the AuNP surface is functionalised with organic molecules, the presence of F- might induce the
152
AuNP to aggregation leading to a color change, which can be employed for F- detection, as shown in
153
Table 2. For example, thio-glucose capped AuNP is among the first generation of AuNP-based
154
colorimetric methods for detection of F- [34]. Upon the addition of F- into the solution, a red-shift in
155
the surface plasmon was observed. The molar extinction ratio at 523 nm (corresponding to free AuNP)
156
and 800 nm (corresponding to aggregated AuNP) was used to analyse the concentration of F-. Another
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example is that of an isothiouronium-based AuNP probe [35] which showed a selective coloration for
158
hydrophobic anions in water due to the anion exchange and the AuNP aggregate. In a series the
159
response was found in the order PF6- > SCN- > I-. For F- detection, however, a mediator of 3-
160
nitrophenylboronic acid was needed to form a trifluoroboronate anion (-BF3-) prior to the test.
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161 To increase the sensor selectivity, a specific reaction should be introduced to control the AuNP
163
aggregate process, such as the Si-O-Si bond breakage by F-. A probe was thus fabricated by anchoring
164
4-mercaptopyrdine on AuNP, and further assembling 3-aminopropyltrimethoxysilane to form a thin
165
Si-O-Si protecting layer to encapsulate the AuNP [36]. In the presence of F-, the Si-O-Si bond will be
166
broken so the protecting layer is destroyed, as shown in Figure 3. Consequently, the aggregation of
167
AuNPs gives rise to significant color change in aqueous solution. Similarly, F- can detach silyl
168
moieties from phenol groups on the surface of an AuNP probe [37] causing a rearrangement reaction,
169
which is accompanied by the release of a dithiol in a spontaneous and irreversible reaction in aqueous
170
solution. The release of dithiol causes the aggregation of AuNP leading to noticeable color change.
171
However, it should be pointed out that the Si-O-Si bond can also be broken by the presence of OH-,
172
particularly in a strong base solution. Consequently, the pH value of solution must be controlled for
173
the test, as shown in Table 2.
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Due to its unique nature the strong H-bond arising from interaction with F- has been used to develop
176
sensor materials. For example, a thiobarbituric acid-capped AuNP sensor has been reported [38]
177
where the color change associated with F--induced aggregation has been successfully used for the bare
178
eye detection of F- at 10 mM. Another case is a thiourea based receptor, which is linked to
179
acridinedione dye for a modified AuNP for F- detection [39]. Upon selective recognition of F- in an
180
acetonitrile medium, the fluorescence was quenched due to the H-bonding and the deprotonation of
181
the thiourea group.
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182 183
Because AuNP is a good quencher for the fluorescence process, FRET has been employed to build the
184
fluorescent sensor for F- detection [40]. In this case, a fluorophore is needed in the assembly, such as a Page 9 of 44
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quantum dot (QD). An example of this is thioglycolic acid modified QDs, which were linked to a
186
citrate capped AuNP surface through H-bond. F- can disassemble the link of QD-AuNP resulting in
187
the release of QDs with subsequent fluorescent recovery. Similarly, the strong affinity between
188
boronate (Lewis acid) and F- (Lewis base) also leads to the development of a FRET sensor [41],
189
wherein
190
phenylborinic acid and diol. In the presence of F-, the boronate ester was converted to trifluoro borate,
191
which broke the linkage and released the QDs from AuNP with consequent fluorescent recovery of
192
QD.
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QD was fixed on the AuNP surface through the formation of cyclic esters between
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The question is, if the dye itself shows a colorimetric reaction with F- (not the coloration of AuNP,
195
such as aggregates), what is the contribution from AuNP in the sensing mechanism? For example, in
196
the absence of AuNP, 4-mercaptophenylboronic acid acted as the quencher whilst carbon nanodots
197
acted as a fluorophore in a detection process for F- [42]. A similar report on 2,1,3-benzothiadiazole
198
also showed its ability in detecting F- in the absence of AuNP [43]. That is, the AuNP’s contribution
199
towards sensing processes such as color enhancement, dye-loading matrix, stability in aqueous
200
solution, nano platform for detection etc., can’t be totally ignored or discarded, given that AuNP’s
201
participation helps to improve the detecting ability of the materials. This is clearly reflected in the
202
detection of cyanide ion, which is an entirely different type of anion than F-.
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ACCEPTED MANUSCRIPT Figure 3. Schematic drawing of the response based on the Si-O bond cleavage induced by F-.
206
Reproduced with the permission from [36]
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Table 2. AuNP-based F- sensor. Signal/Detector
Solution
Mechanism
Working range
Absorption at 523 nm 10
AuNP
/800 nm, or naked eye
mM AuNP aggregate
10-50
mM NIL
SC
SAM-
LOD
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Matrix
Comments
Ref.
Ambiguity in the [34]
(190-950
mechanism
ppm)
aggregation
M AN U
HEPES pH7.0
of
SAM-
Absorption at 525 nm 300 mM NaCl, Mediated anion exchange, 40-240 mM NIL
Mediator is needed [35]
AuNP
/640 nm, or naked eye
(740-4560
and Ambiguity in
ppm)
the mechanism of
AuNP aggregate
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pH5.5
aggregation
SAM-
Absorption at 525 nm 20 mM EDTA, O-Si-O breaking, AuNP 1-7 ppm
AuNP
/625 nm, or naked eye
SAM-
Absorption at 529 nm DMF/PBS,
AuNP
/800 nm, or naked eye
SAMAuNP
Naked eye
pH7.7
pH7-8
1 ppm
Spiked tap water [36]
aggregate
tested
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pH5-8
O-Si-O breaking, AuNP 120 µM-1.5 120
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aggregate
mM
µM No real sample.
[37]
(~2-30 (~2 ppm)
ppm)
H-bond forming, AuNP NIL
10
mM Qualitative test
aggregate
(190 ppm)
[38]
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PET,
fluorescence acetonitrile
H-bond
quench in the range of
forming, 50-700
fluorescence quenching
recovery at 520 nm QD-AuNP
FRET,
mM H-Bond
HEPES pH7.0
Fluorescence 10 mM PBS, B-O
recovery at 520 nm
pH7.4
breakage, 5-35
fluorescence recovering bond
µM NIL
(95-665 ppb)
breakage, 5-45
fluorescence recovering
Spiked tap water [40] tested
µM 50 nM (950 Spiked tap water [41]
(95-855 ppb)
ppt)
tested
and
biological imaging
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[39]
SC
Fluorescence 10
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FRET,
Organic media.
(~1-13 ppm)
410-460 nm QD-AuNP
µM NIL
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Dye-AuNP
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3. AuNP-based sensors for cyanide (CN-) ions
210
The toxicity of cyanide ion (CN-) towards mammals is well known and to almost all other forms of
211
life too, due to its propensity to bind with iron in peroxidase, ferric haemoglobin and myoglobin,
212
catalase and cytochrome c oxidases [12, 44, 45]. The recommended upper limit concentration in
213
drinking water is 50 ppb in Europe, 4 ppb in Australia, 200 ppb from USEPA and 70 ppb from World
214
Health Organization (WHO), respectively[46].
215
Commercially available AuNPs usually are covered with organic acids such as citric acid. When the
216
solution circumstance is changed, AuNPs can easily become aggregated. Recently, adenosine
217
triphosphate (ATP)-stabilised AuNP has been developed to increase the stability over a wide pH
218
range and even in a high salt concentration, which is attractive for applications in a physiological pH
219
range, such as for biological and environmental tests [44].
220
Most of the CN- sensors function through strong coordination interactions between CN- and metal
221
ions including Cu2+, Ag+ and Au3+. For example, a complex of ATP-AuNP-Cu-phenanthroline has
222
been developed [44] where, in the presence of CN-, Cu2+ was coordinated with CN- with subsequent
223
release of free phenanthroline resulting in AuNP aggregation with ensuing color change of the
224
solution (Table 3). However, it is to be noted that the coordination interaction is not specific for CN-
225
due to possible interferences from other ions with high coordination affinity towards Cu2+.
226
Another approach is the etching and dissolution of AuNP by the aggressive CN- [47]. In the presence
227
of oxygen, CN- can etch the inert gold via the formation of a complex of Au(CN)2+. There are not too
228
many other anions which can proceed through this etching process and thus a specific detection is
229
expected by change in color of AuNP colloids. In the fluorescence approach FRET is exploited
230
where a fluorophore is needed, such as Rhodamine B [48], imidazole-functionalised polyfluorene [47]
231
and fluorescein isothiocyanate (FITC) [49] [50] . Even a core-shell nanoparticle of silver/gold (silver
232
at the core) was developed [51]. Another approach is using gold nanoclusters (AuNC) rather than
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ACCEPTED MANUSCRIPT fluorophore [52]. In contrast with a nanoparticle that is a fluorescence quencher, metal nanoclusters
234
usually yield strong fluorescence and can be used to replace fluorophore [53].
235
In an effort to increase the sensitivity of CN- detection a two-photon excitation system has been
236
considered. The advantages include that excitation is carried out at the near-infrared energy region
237
with nil photo-bleaching and auto-fluorescence, resulting in enhanced signal-noise ratios and
238
improved sensitivity. These types of sensors have been developed not just to detect CN-, but also to
239
image CN- in plant issue [54]. The sensor assembles graphene quantum dots/AuNP conjugate, where
240
the former exhibits excellent two-photon properties whilst the latter acts as a good fluorescence
241
quencher. In a similar fashion an up-conversion nanoparticle has been developed to detect CN- [55],
242
however the nanoparticle is a rare-earth metal rather than AuNP.
243
An Au-based biosensor has also been reported for the detection of CN- where a horse-radish
244
peroxidase enzyme-modified electrode was used for inhibitive and selective determination of CN-
245
[56]. Since the process involves collection of an electrochemical signal the presence of AuNP
246
enhanced the electron transfer reaction between the electrode and the active site of the enzyme.
247
However, it is not a colorimetric detection.
248
A SERS sensor has also been developed for CN- [57] where the CN- bond’s vibration was directly
249
monitored through a Raman signal, as listed in Figure 4. The Raman signal of C-N stretch at 2154 cm-
250
1
251
ascorbic acid (which was coated on the AuNP) with CN-. A detection limit of 100 ppt (part per
252
trillion) was reached by this method. However a gradual etching of Au was also identified, although
253
this was slow and took hours at the low concentration of CN-.
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was significantly enhanced by the AuNP aggregate, which was achieved by the replacement of
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Figure 4. Schematic drawing of the SERS detection of CN- based on etching of AuNP. Reproduced
256
with the permission from [57]
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Table 3. AuNP-based CN- sensor. Signal/Detector
Solution
Mechanism
Working range
Absorption at 680 Aqueous at neutral Cu2+ nm
pH,
decomplexed, 10-25
AuNP aggregated
Comments
Ref.
µM 10 µM (260 Ambiguity
over [44]
SC
Cu-dye-AuNP
LOD
RI PT
Matrix
(260-650
ppb)
dye contribution
M AN U
ppb)
No incubation. dye-AuNP
Fluorescent at 402 Aqueous,
no FRET: AuNP etched, 0.3-130 µM 0.3 µM (~8 Spiked
nm (excitation at incubation.
fluorescence recovered
dye-AuNP
Fluorescent at 577 Aqueous,
Colorimetric
at 40
fluorescence recovered
EP
information available
FRET -AuNP
ppb)
sample tested
FRET: AuNP etched, 150 nM-45 80 nM (~2 Desorption
nm (excitation at incubation 520 nm)
(~8-3400
water [47]
ppb)
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355 nm)
not
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mM
high concentration pH7.4,
30
level, fluorescence incubation.
µM
(~4- ppb)
1200 ppb)
Rhodamine identified
PBS, AuNP aggregated at 0.1-300 µM 0.1 µM (2.6 Dual min high level,
concentration (2.6-7800
of [48]
ppb)
functional [49]
system.
fluorescence ppb)
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at low level Fluorescent at 520 5
mM
sodium FRET: AuNP etched, 1-10
nm (excitation at phosphate,
60 min incubation.
(26-260 ppb)
ppb)
Ag@AuNP
Absorption at 520 Aqueous pH 10, 5 AuNP nm, naked eye
min incubation
decolored
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480 nm)
pH10, fluorescence recovered
µM 1 µM (26 Masking agent of [50]
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FRET -AuNP
recovered at low level
TE D
Fluorescent at 516 BR buffer pH10, 30 Two-photon-excitation nm (excitation at min incubation.
Bio-AuNC
Fluorescent at 640 NaOH-NaHCO3
(~4 ppb)
20
520 nm)
incubation.
Electrochemical
50
current
pH5.0,
mM
improved [51]
version compared to AuNP
1-200
µM 0.52
(26-5200
µM Clean background
[54]
(~14 ppb)
ppb)
Au nanocluster etched, 200 nM-9.5 200 nM (~5 pH12 might be [52]
min fluorescence
AC C
nm (excitation at pH12,
bio-AuNP
EP
780 nm)
interference from
µM An
ppb)
QD-AuNP
needed to avoid
I- and S2-
etched, 0.4-32 µM 0.16 (~10-830
S2O82-/Pb2+
diminished
NaAc Inhibition no response
µM
(~5- ppb)
limiting
250 ppb) aerometric 0.1-58.6 µM
the
application 0.03
µM Electrochemical
(2.6- (~0.8 ppb)
[56]
approach
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incubation. Fluorescent at 650 NaOH-NaHCO3 nm (excitation at pH11, 370 nm)
Au nanocluster etched, 5-120
incubation fluorescence
information
(130-3120
not diminished
ppb)
SC
available
Raman signal of Aqueous pH11, no CN- leads to AuNP 110-4500 CN at 2154 cm-1
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AuNP
incubation.
aggregation
and ppt
µM pH11 might be [58]
(~5 ppb)
110 ppt
limiting
the
application
10 µL samples is [57] needed at pH11. AuNP
etching
takes hours at ppt level of CN-
AC C
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Raman enhancement
258
µM 0.19
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bio-AuNC
1500 ppb)
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4. AuNP-based sensors for arsenic ions (AsO33-/AsO43-)
260
Inorganic arsenic (As) might be among the most toxic contaminants and has been categorised as a
261
class A human carcinogen [59]. As the 20th most abundant element in the terrestrial crust, it exhibits
262
influence on 140 million people globally, including Bangladesh, India, China and the United States
263
etc.[59-61]. Long term exposure to arsenic contamination might lead to various types of cancers of
264
skin, lungs, bladder, kidney, etc. and other kinds of diseases such as diabetes, developmental and
265
reproductive problems, and cardiovascular disease. Consequently, USEPA and WHO have
266
recommended the maximum contamination level in drinking water at 10 ppb [59, 60].
267
Usually there are mainly two types of contaminants, pentavalent arsenic (arsenate or As(V)) and
268
trivalent arsenic (arsenite or As(III)), which usually exist as anions of AsO33-/AsO43-. Among them,
269
As(III) is generally targeted because it has been found to be more toxic to humans and have a higher
270
mobility in environment than As(V). The measurement approaches of arsenic as element include
271
atomic absorption spectroscopy, atomic fluorescence spectroscopy, atomic emission spectroscopy,
272
and electrochemical analysis [59, 60]
273
Unlike F- but similar with CN- [57], the characteristic bonded peaks of As(III) and As(V) can be
274
clearly identified and distinguished in Raman spectrum offering a direct SERS analysis [60]. For
275
example bands at 780-812 cm-1 and 410 - 430 cm-1 have been assigned to AsO43- whilst bands at 726
276
cm-1 and 439 cm-1 are assigned for AsO33- (Figure 5a) [62, 63]. However, with respect of SERS test,
277
usually silver NP or nanocrystal is preferred to AuNP. Furthermore, the Raman intensities of the
278
above peaks are weak necessitating the interferences been removed by sample-preparation with
279
enhancement of the signal through the incorporation of dye [61].
280
AuNP features an extremely high specific surface area, a property of which can be exploited to extract
281
arsenic from the aqueous phase even at trace levels to improve the sensitivity. In such a case the
282
surface property can be modified or functionalised to preferentially select arsenic anion. If this
283
process leads to the aggregate of AuNP, which is needed for SERS, the colorimetry (visible spectrum
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ACCEPTED MANUSCRIPT or visible test) generally provides a good and economic detection platform, although the sensitivity is
285
compromised and not that comparable to SERS [60].
286
However, SERS may not be the only choice to address the sensitivity issue. An alternative detection
287
approach, dynamic light scattering (DLS) has been recently developed showing a high sensitivity
288
(Figure 5 (b)) for arsenic anion down to a LOD of 10 ppt, a value much lower than the recommend
289
10 ppb by USEPA and WHO [64, 65]. The basic principle of DLS is to measure nanoparticle size by
290
light scattering. AuNP can be aggregated by the target arsenic contaminant leading to significant size
291
difference than the individual AuNP, generating DSL signal linked to the arsenic concentration.
292
When sensitivity is not an issue, other challenges will be in place such as the means of trapping
293
arsenic
294
surface matrix with substances like glutathione (GST), dithiothreitol (DDT) and cysteine (Cys) [65,
295
66], given the high affinity of arsenic anion towards these matrices. For example, each arsenic anion
296
can bind with three DTT-conjugated AuNP through an As-S linkage resulting in change of color from
297
red to blue which can be conveniently monitored by DLS, UV-vis or naked eyes.
298
Similarly, lauryl sulphate[67] and ionic liquid[68] were also found to show high affinity towards
299
arsenic anion. Particularly, phosphonium ionic liquid has been used to specifically catch arsenite and
300
arsenate anions. The phosphonium’s strong interaction with arsenic species has been confirmed by
301
extended X-ray absorption fine structure. A protocol has been developed for visible test with a LOD
302
of 7.5 ppb, which is also well below the recommended 10 ppb by USEPA and WHO[68].
303
Selectivity of the detection by AuNP can be enhanced through the modification engaging enzyme
304
phosphatase (AcP) [69]. The enzyme catalyses the hydrolysis, which causes the appreciable
305
aggregation of AuNP with the eventual color change from red to blue. However, the arsenate is a
306
molecular analogue of AcP so that its presence can significantly interfere with the bioactivity of AcP
307
by slowing down the hydrolysis process. This may result in the reversal of color from blue to red.
308
Consequently. a LOD of 7.5 ppb was achieved for UV-vis test, or 27.5 ppb for visible test.
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on to the AuNP surface and triggering the AuNP aggregate. An approach is to modify the
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310
selectivity [70, 71]. This aptamer can stabilise AuNP at a high concentration of NaCl solution and
311
retain the red color. When arsenic reacts with aptamer, individual AuNPs are aggregated with the
312
appearance of blue color. A LOD of 0.6 ppb was achieved for visual test whilst 0.77 ppb for
313
resonance scattering test.
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309
314 315
Figure 5. (a) Raman spectrum of As(III) and As (V)[63], (b)photo image of color change depending
316
on the concentration of As (III) (indicated) [65]. Reproduced with permission from [63] and [65].
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Table 4. AuNP-based AsO33- sensor. Signal/Detect Solution
Mechanism
Workin
or
complex 0.288-
Raman
Ref.
0.1 ppb
Tested in aqueous solution, in [61]
buffer pH 8.0 + 50 mM leads to AuNP aggregate, 23.04
air (after dry) and decreased
NaCl + 5.23 µM dye, 15 where dye’s Raman signal ppb
Raman signal upon AuNP
min incubation
aggregate, which are rarely
decreased.
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aptamer-dye
Ag-
25 nM aptamer + HEPES Aptamer-As
SC
Raman
Comments
g range
A drop of analyte was Adsorbed PVP on the NIL
TE D
AuNP-
LOD
RI PT
Matrix
nanocrystal
spread on the assembly substrate
assembly-PVP
surface and covered with facilitates the binding of
reported. 1.8 ppb
Patented approach
[62, 63]
surface
both arsenate and arsenite
EP
a cover slip
near the silver surface,
AuNP-GSHDTT-Cys-
DLS signal
AC C
318
allowing for enhancement of Raman.
PDCA added and 60 min Arsenic (III) show high 40 ppt - 10 ppt
Detection
incubation
anion interference unclear. But
affinity with DTT and 50 ppb
details
unclear, [65]
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PDCA
leads to AuNP aggregate.
lowest LOD was reported so
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far AuNP-GSH-
Absorption
PDCA added and 120 min Arsenic (III) show high 2-20
DTT-Cys-
525 nm
incubation in the dark
affinity with DTT and ppb leads to AuNP aggregate.
AuNP-lauryl
Absorption
sulphate
at 730 nm /
coupling effect leads to ppb
530 nm
AuNP aggregate.
Absorption
liquid
at 630 nm / NH3●H2O (pH10.2), 30 between
Absorption
association 7.5-25
ionic
Absorption
unclear, [66]
anion interference unclear
Interference unclear
[67]
7.5 ppb
Ascorbic acid can reduce As [68] (V) to As (III) for their individual test. No interference
temperature.
of 10 mM PO43-
leads to AuNP aggregate
10 mM acetate buffer pH As (V) inhibits enzyme’s 7.5-75
AC C
37 °C, 5 min colorimetric the color from blue to red response.
AuNP-aptamer
details
min incubation at room phosphonium and As (III)
at 660 nm / 5.0, 80 min incubation at bioactivity and reversed ppb 520 nm
Detection
2 ppb
liquid ppb
EP
AuNP-enzyme
NH4NO3- Strong
inter-particle 5-500
TE D
AuNP-ionic
525 nm
mM
Arsenic’s
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pH 5.0 5 min incubation
SC
PDCA
30
2.5 ppb
10 mM MOPS buffer pH Aptamer-As
complex 1.26-
7.5 ppb
Groundwater
tested
with [69]
interference of Cu2+, F- and H2PO4-
1.26 ppb Water samples tested, cations [70]
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at 650 nm / 7.0, incubation for 10 min leads to AuNP aggregate at room temperature, 60
interference unclear.
mM NaCl for aggregate AuNP-
Absorption
aptamer-
at 650 nm / 7.0, 30 min incubation at leads
surfactant
520 nm, or 25 °C, CTAB added for surfactant that aggregate
10 mM MOPS buffer, pH Aptamer-As
release
of ppb
SC
to
complex 1-1500
AuNPs
another 30 min incubation
Water samples tested, cations [71] interferences avoided, anion interference unclear.
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0.6 ppb
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RS
interferences avoided, anion
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520 nm
200 ppb
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5. AuNP-based sensors for PFOS / PFOA
323
PFASs feature unique physical and chemical properties, such as hydrophobicity and oleophobicity,
324
which have not being evidenced in other compounds. Due to these unique properties they have been
325
widely used in such applications as clothing, upholstery, carpeting, painting, food containers,
326
cookware, AFFF etc.[72]. On the other hand, PFASs also exhibit extreme stability with respect to
327
thermal, chemical and bio-degradation [73, 74], a property attributed to inert fluoro-carbon skeletons
328
making them extremely resistant to degradation under natural environmental conditions [75, 76].
329
Consequently, their continuous usage and inertness have led to their global distribution and
330
accumulation in the environment. This has in turn raised serious concerns about their impact on the
331
environment and public health [2, 77, 78]. Particularly, anionic fluorosurfactants of PFOS and PFOA
332
have been listed as emerging contaminants by USEPA and the recommended concentration in
333
drinking water is 70 ppt for individual or combined PFOS and PFOA [79, 80].
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The binding event for anionic fluorosurfactants detection is based on the specific fluorine-fluorine
336
interaction [81-83]. For example, Takayose et al. developed a colorimetric detection of
337
perfluorooctanoic acid (PFOA) utilising thiol-terminated polystyrene-modified AuNP, as listed in
338
Table 5. They suggested the addition of PFOA in the AuNP matrix solution caused detachment of the
339
polystyrene layer from the surface of AuNP. Due to the strong interaction among PFOA molecules,
340
AuNP aggregated and the resultant colorimetric reaction was monitored [84].
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342
Another approach is the selective insert of the C-F skeleton into the self-assembled monolayer (SAM)
343
on the AuNP surface. Niu et al. have developed a sensitive colorimetric detection of fluorosurfactants
344
using poly (ethylene glycol) and perfluorinated thiols modified AuNP [85]. In this mixture of SAM,
345
the former provides the stability of the surface-functionalised AuNP whist the latter offers the
346
selectivity for the detection of fluorosurfactants, as indicated in Figure 6. After a 30 minute incubation
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ACCEPTED MANUSCRIPT 347
in the presence of fluorosurfactants including PFOS, PFOA and others (perfluoroalkyl chain >6), a
348
limit of detection of 10 ppb was achieved for all the fluorosurfactants.
349 350
Rather than depending on the F-chemistry to provide the selectivity towards the fluorosurfactants’
351
detection, a bioassay method was
352
including PFOS can bind to the peroxisomal proliferator-activated receptor-alpha (PPARα), which
353
forms heterodimers with retinoid X receptors (RXRs) and binds to PPAR responsive elements. The
354
detection limit was reported to be as low as 2.5 ppt. Although they still employed the AuNP as the
355
platform, subsequent silver enhancement is necessary to reach a limit of detection of 10 pM (~5 ppt
356
for PFOA). Though the limit of detection is excellent in this case, the time-consuming sample
357
preparation and requirement for overnight incubation at 4 °C are the major drawbacks in this approach.
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developed by Xu and Shu et al.[86, 87]. Fluorosurfactants
358
As a sensor platform, AuNP has witnessed significant development recently. However, other
360
nanomaterials might exhibit some advantages too. For example, in terms of SERS enhancement,
361
silver is much better than gold [19, 88]. Consequently, silver nanoparticles (AgNP) have been tried
362
for SERS detection of fluorosurfactants [89]. Graphene oxide was used to increase the loading affinity
363
of fluorosurfactants considering their hydrophobic and oleophobic properties. The introduction of dye
364
selectively precipitated anionic surfactants by forming an ion-pair, which provided the selectivity.
365
Consequently, a limit of detection of 50 ppb for PFOA was achieved from a ground water sample.
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366
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367
Another example is the combination of a nanosheet of carbon nitride (C3N4) with molecularly
368
imprinted polymer (MIP) and electrochemiluminescence (ECL) for the sensitive detection of PFOA
369
with a detection limit of 10 ppt [90]. The illumination detection using a photo multiplier tube might
370
limit the on-site application. Similarly, QD, rather than AuNP, has also been developed for the
371
detection of PFOA with a limit of 300 nM (~120 ppb) when fluorescent detection was employed [91].
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372
Figure 6. Schematic drawing of the response toward to fluorosurfactants (a) and absorbance response
374
in the presence of 500 ppb of each non-fluorinated compounds (b). Reproduced with the permission
375
from [85].
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Table 5. AuNP-based PFASs sensor. Mechanism
Working
or Polymer-
Naked eye
LOD
Comments
~100 ppm
PFOA,
RI PT
Signal/Detect Solution
Ref.
range 30 h incubation
PFOA
AuNP
detached NIL
polystyrene
from
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AuNP surface and lead
SC
Matrix
qualitative [84]
test, no real sample (~250 µM)
to AuNP aggregate. SAM-AuNP
Absorption
Water sample was pre- F-chemistry
induced 10-1000
naked eye
mL methanol. Test: 0.2 mL concentrated
sample
is
solution,
with
30
ppb
[85]
fluorosurfactants (perfluoroalkyl chain > 6), Coloration not obvious
EP
mixed with 0.8 mL AuNP
10 ppb
TE D
at 520 nm, treated from 200 mL to 5 AuNP aggregate
min
AC C
377
incubation. Bio-AuNP
Optical
Water sample was pre- Bioassay
based
on 100 pM -1 10 pM
PFOS,
PFOA
etc. [86]
tested. Bio-process is
density after treated from 1000 mL to 1 silver enhancement of µM (~5 ppt) silver
mL methanol. Test: several AuNP and interaction
time-consuming and
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enhancement
steps, 30+ min incubation
among
ligands,
needs
trained
(~50 ppt operator.
PPARα and PPRE
QD-bioassay
Fluorescence
Water sample was pre- Bioassay
based
with
M AN U
400 nm
1 mL QD + water sample + PFOA lead to QD 0.5-40µM
with
mL
Na2HPO4-NaOH aggregate
pH10, 10 min incubation
excitation at 365 nm electrochemil In uminescence
0.1
M
SERS
(~200-
tested. [87]
PFOS Bioassay
is
time-
consuming and needs operator.
0.3 µM
PFOA
spiked
in [91]
textile sample tested (~120 ppb)
florescence quenching
(pH6) Co-reactant
16000 ppb)
S2O82- 0.02-400
0.01 ppb
PFOA
spiked [90]
containing 3 mM Na2S2O8 oxidised PFOA and ppb
environmental
and 0.1 M Na2SO4, 20 min lead to decreased ECL
sample test.
incubation. AgNP-dye-
PBS
AC C
MIP-C3N4
2.5 ppt
and
TE D
at 560 nm 1
EP
Fluorescence
to
mL methanol. Test: several PPARα.
excitation at steps, 120 min incubation
SAM -QD
binding
on 2.5-7.5 ppt
SC
at 605 nm treated from 1000 mL to 1 PFOS’
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500 ppb)
signal
10 mM NaCl (pH5.8), 120+ Dye
co-participate NIL
50 ppb
Spiked
PFOA
in [89]
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min incubation.
oxide
PFOS/PFOA/6:2FTS
groundwater sample
onto
tested.
AgNP-graphene
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oxide surface
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graphene
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379
6. Performance concerns
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380
In this review, AuNP based colorimetric detection, fluorescent detection and SERS detection have
382
been discussed. However, with the continuous advent of newer technologies more opportunities are
383
being explored through other techniques as well. For example, recently, a method based on the
384
dynamic photo scattering (DPS) was established with comparable sensitivity with SERS [23, 24].
385
However, the setup is much simpler and cheaper than Raman in terms of sensitivity and thus has
386
attracted various researchers.
387
For sensing applications the traditional methods in professional laboratories are being challenged by
388
portable sensor, kits and devices due to demands for on-site analysis. The latter promises faster
389
screening approaches coupled with effective determination of contaminants.. However these kits lack
390
certain characteristics and have limitations, and are yet to be proven as good as laboratory sensing
391
methods.
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6.1. Selectivity vs. sensitivity
394
There are two kinds of requirements for the improvement of sensors, which are selectivity and
395
sensitivity [23, 24]. The selectivity usually originates from the surface functionalisation of AuNP
396
whilst the sensitivity depends on multiple parameters such as the binding event, the convertion
397
efficiency to optical signal, and the background noise. Considering fluorosurfactant as an example,
398
the selectivity mainly stems from the electro-static interaction and the hydrophobic/oleophobic
399
fluorine-carbon chains [8, 10, 89]. Thus due to the “fluorous nature” of the fluorocarbon skeleton,
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they exhibit both hydrophobic and oleophobic properties, which are not evidenced from other
401
materials [81-83]. Consequently, they can be selectively extracted and detected.
402
However, the interference from other co-existing ions will have a serious impact given that the
404
concentration of fluorosurfactants is commonly at the level of ppb (< 10 nM) whilst other anions are
405
present at a much higher level, such as Cl- (µM – mM). It is thus recommended that a pre-treatment of
406
samples should be included, which must be carried out prior to the application of AuNP sensing, for
407
improved selectivity and sensitivity.
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6.2. Sample-preparation
410
A highly sensitive test usually warrants a better sample preparation. In a modern analytical chemical
411
lab the sample preparation generally consumes 50 - 90% of the time duration and labour cost [92],
412
which requires professionally trained lab personnel to perform the sample preparation processes.
413
Considering the complexity of environmental samples whose matrices comprise several physical
414
matters, wider biotas and multiple types of chemicals, extensive sample pre-cleaning and pre-
415
concentration are always required as important pre-requisites and most importantly are unavoidable
416
too.
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418
Particularly when the target analyte’s concentration is much lower than that of the co-existing
419
species/ions, this will pose a challenge for an accurate analysis which is the case for fluorosurfactant
420
detection, as discussed in Section 4. Fortunately, recent developments on the new testing platform
421
might offer an opportunity to integrate the sample preparation and sample analysis in a single step. A
422
field portable testing kit provides this advantage so that there are no additional or extra steps to carry
423
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ACCEPTED MANUSCRIPT 424
particular group of analytes irrespective of whether a qualitative or quantitative approach is taken by
425
employing on-site test kits.
426
6.3. Quantitative vs. qualitative
428
Visual colorimetric detection is dependent on the assessment of color changes, which means it is a
429
semi-quantitative test at best, with the color chart provided as reference. For color reading,
430
interference from the background should be taken into account. The illumination on a sunny day
431
differs from that on a cloudy or rainy day. For accurate reading, a reading kit is recommended.
432
Alternatively, a background correction can be applied using software [94]
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427
433
Mobile phones are now near-ubiquitous; as of 2016 apple sell > 1 billion iPhones [95]. Modern
435
mobile phones, particularly high tech smartphones, are equipped with valuable and relevant
436
capabilities including high resolution camera, high speed processor, touch screen display, higher
437
memory capacity, long life battery, etc. Therefore, smartphones offer a unique approach for increasing
438
device availability and accessibility [96]. Thus a smartphone-based testing platform could drive a new
439
direction in sensor development for on-site screening applications [33, 94, 96]. In addition, it is
440
anticipated that with the increased development of user friendly smartphone apps in combination with
441
other technologies, such as GPS to mark the test position, on-line help and demonstrations to assist
442
operation by non-techniciansetc., this will provide an opportunity and impetus towards the
443
development of more efficient and faster portable sensor kits.
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446
Over recent decades, various testing kits have appeared on the market [97, 98]. Most of them work via
447
a similar operational procedure with a pH testing paper, such as a pregnancy test stick. In order to
448
increase the selectivity and sensitivity, paper-based devices have also been developed [99]. Their
449
working principle is usually based on micro-fluidics technology to pre-concentrate or pre-extract the
450
target analyte. However, most of them are still capable of only performing semi-quantitative tests,
451
such as ”astkCARE”[100].
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452
In contrast, portable devices which are integrated instruments can be easily carried and handled at on-
454
site testing areas with much ease [93, 98, 101, 102]. The weight for any such handheld device is slated
455
to be at < 10 Kg [103] and the analytical chemistry is working in the background to support the
456
process for a quantitative test [11]. Once the chemistry behind the analysis is integrated well within
457
these devices with an appropriate app, it might become the preferred system even for non-trained
458
personnel, in the near future.
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6.5. Kinetics vs. thermodynamics
461
For color reading, kinetics should be distinguished from thermodynamics, particularly when the
462
colorimetric reaction of AuNP is dominated by a kinetic process. This situation might be more serious
463
when the binding or recognition process is slow, such as the CN- etching of AuNP, which usually
464
takes ~30 min for incubation, as listed in Table 3. However, the monitoring of the kinetics might
465
provide additional information for characterisation, particular when the monitoring process can be
466
automated, such as through a smartphone when it is employed as the detector.
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469
While AuNP is a common platform for colorimetric detection, other shape/types of nanomaterials
470
should also be paid attention [16, 17] [18]. For example, the Au nanocluster features a strong
471
fluorescence which can be used as fluorophore, as discussed in Tables 2 & 3. An Au nanoflower,
472
nanorod, or nanowire might exhibit strong enhancement on surface plasmon, which is helpful for
473
SERS detection [20-22]. Other platforms including silica nanoparticle, core-shell nano composite [51],
474
bi-metal nanoparticle [55]and MIP [90] are also reported for colorimetric sensing.
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475
7. Perspectives
477
In general, it is expected that both the testing kit and portable device will receive more and more
478
attention for rapid and random on-site assessments. AuNP-based sensors in particular along with
479
other nano-sensors will continue to be employed to develop these systems, which exhibit the capacity
480
for a sensitive and selective test on a wide range of targeted anions of environmental concern.
481
Appropriate analytical protocols and regulatory governance will aid in improving the operating
482
capabilities of these systems.
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AUTHOR INFORMATION
485
Corresponding Author
486
Phone: +61 2 4913 8740; Fax: +61 2 4913 8740; Email:
[email protected]
487
Notes
488
The authors declare no competing financial interests.
489
ACKNOWLEDGMENT
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The authors kindly acknowledge funding support provided by CRC CARE.
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