Recent progress in quantum dot based sensors

Lei Cui a, Xiao-Peng He *b and Guo-Rong Chen *b
aCollege of Science, School of Environment and Architecture, University of Shanghai for Science and Technology, 516 Jungong Rd., Shanghai 200293, PR China
bKey Laboratory for Advanced Materials & Institute of Fine Chemicals, East China University of Science and Technology (ECUST), 130 Meilong Rd., Shanghai 200237, PR China. E-mail: xphe@ecust.edu.cn; mrs_guorongchen@ecust.edu.cn

Received 31st January 2015 , Accepted 6th March 2015

First published on 6th March 2015


Abstract

This review summarizes the recent progress in quantum dot (QD) based sensors used for the photoluminescent detection of a variety of species in vitro and in vivo. New trends in using these nanomaterials for sensing applications are highlighted.


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Lei Cui

Lei Cui was born in Zaozhuang, China in 1984. He received his PhD in 2011 from East China University of Science and Technology (ECUST) under the supervision of Prof. Yufang Xu. Then he joined the University of Shanghai for Science and Technology (USST) as a lecturer, and was promoted to associate professor in 2014. Now he’s working in Prof. Juyoung Yoon’s group at Ewha Womans University as a postdoctoral researcher. His research interests focus on fluorescent sensors, drug delivery and biological functional materials.

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Xiao-Peng He

Xiao-Peng He (Franck) received his BS in Applied Chemistry (2006) and PhD in Pharmaceutical Engineering (2011) from ECUST. He conducted a co-tutored doctoral program at ENS Cachan (France) from Jul 2008 to Feb 2009 (advisor Prof. Juan Xie) sponsored by the French Embassy in China. Then he carried out his postdoctoral research with Prof. Kaixian Chen (SIMM, CAS) at ECUST from 2011 to 2013. He’s now an associate professor at the Institute of Fine Chemicals, ECUST, where his research interests span from chemical glycobiology to optical and electrochemical sensors.

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Guo-Rong Chen

Mrs. Guo-Rong Chen received her BS in Organic Chemical Engineering (1975) from ECUST. She conducted her research at the glycochemistry lab of University Lyon 1 from 1989–1991; she revisited the lab in years 1996, 1998 and 2002. Then she spent two years at the Shanghai Institute of Materia Medica (CAS) as a visiting scholar. She was appointed as a professor at ECUST in 2001, and her research interests involve glycochemistry, medicinal glyochemistry, chemical glycobiology and green fine chemicals.


1. Introduction

Quantum dots (QDs) are defined as semiconductor nanomaterials that emit photoluminescence (PL) with a tuneable wavelength.1 QDs have been traditionally used in the production of solar cells, transistors, LEDs, etc. However, they have also shown good promise for use in the fabrication of sensors. Owing to their unique and easily tunable optical properties, QD based chemo- and bio-sensors have been extensively developed since the 21st century.2

Traditional materials for sensor development include fluorescence organic dyes,3,4 transition metal complexes5,6 and carbon materials such as carbon nanotubes7–9 and graphene.10 Recently, there is also a new trend in using few-layer transition metal chalcogenides as the substrate to fabricate optical sensors.11 Compared with these materials, QDs are believed to be superior in terms of luminescence lifetimes, resistance against photobleaching, narrow emission bands, and especially broad absorption bands that allow for a diverse selection of possible excitation wavelengths from the visible to the near infrared regions.12 These features make QDs an ideal choice for the versatile design of sensors.

The following content will summarize the functionalization and application of QDs in the optical sensing of a variety of species, both in vitro and in vivo. We note that this review mainly covers QD based sensors developed during the past two years (2013 and 2014). New trends in using these materials as sensors are highlighted.

2. QD based chemosensors

2.1. QD based chemosensors for ions

Transition metal ions are important natural elements which play important roles in a multitude of biological processes. However, the excess of these ions is harmful. As a consequence, QD based PL sensors for transition metal ion detection have been actively developed.

The main principle for sensor construction relies on the functionalization of QDs with a selective ion receptor. On the one hand, after a specific receptor–ion interaction, the PL of the QDs could be quenched, probably due to selective collisions between the ion and receptor leading to QD aggregation as a result of the loss of the receptor on the surface. Charge transfer between the transition metal and the capping agent on the surface might also cause a PL quenching.13 On the other hand, ratiometric and PL “off–on” sensors were developed based on QDs, the rationale of which is described in detail within the context below.

Glutathione (GSH)13,14 and mercaptoacetic acid (MAA)15 were used as receptors for copper ions (Cu2+) to coat CdTe or ZnSe QDs. The PL of the coated QDs could be quenched selectively in the presence of Cu2+ (Fig. 1). To understand the kinetics of the PL quenching of cysteine-coated CdS QDs with Cu2+, model free chemometric methods were employed.16 This study provided a useful insight into the simultaneous determination of multiple analytes.


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Fig. 1 Detection of an analyte using receptor coated QDs.

QDs without a capping receptor were also used for Cu2+ detection (Fig. 2). Several cations, such as Cu2+, Ag+ and Hg2+, have been determined to possess the ability to replace the Cd2+ ions on the surface of CdSe QDs. However, the use of thiosulfate was shown to eliminate the interference of Ag+ and Hg2+ for Cu2+ detection, probably by forming a passivation layer on the QD surface which resisted the competing ions.17 For comparison with heavy-metal based QDs, other QDs that might be less toxic were prepared. A ZnO QD whose PL can be quenched selectively by Cu2+ was incorporated into a portable miniature probe, which showed a sub micromolar limit of detection (LOD) and a high upper detection concentration.18 A label-free Si-QD was synthesized, which showed PL quenching with the hydroxyl radicals produced by a Fenton reaction involving Cu2+, ascorbic acid and H2O2.19


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Fig. 2 Detection of an analyte using receptor-free QDs.

Particle size was observed to control the quenching efficiency of cysteine coated CdTe QDs with Ag+.20,21 A larger size facilitated the sensitivity and selectivity, probably because of the lower passivation of surface traps by Ag+ adsorption. This size effect was claimed to be equally important for other QD based optical sensors. Mercaptosuccinic acid coated CdS QDs showed a quenched PL in the presence of different metal ions, and were used to determine Hg2+ in an artificial aqueous sample.22

Besides the fluorimetric detection rationale, a ratiometric CdTe/CdS QD based sensor was developed for Hg2+.23 A red-emitting QD was embedded in silica nanoparticles on which a green-emitting QD coated with GSH was covalently coupled. The green emission could be selectively quenched by Hg2+ with the red emission retained (Fig. 3), which enabled the detection of mercury ions in biological fluids in a ratiometric way.


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Fig. 3 Detection of an analyte using a ratiometric QD sensor.

PL-quenching based, organic acid-coated QDs were developed for Co2+,24,25 Fe2+,26 and Cr3+.27,28 CdSe QDs decorated on the tip of an optical fiber in a sol–gel matrix were also used for the selective detection of Cr3+.29 Considering the importance of Zn2+, implicated in many pathological processes, QDs functionalized with Zn2+ receptors have been constructed. Carboxymethyl chitosan was used to coat CdTe QDs by electrostatic interactions.30 Following the strong binding between surface-confined chitosan and Zn2+, the ion could prevent nonradiative relaxations of the QDs, leading to an enhancement of the PL. The positively charged chitosan could also facilitate the endocytosis of the QDs for the imaging of Zn2+ in prostate cancer cells. 8-Aminoquinoline, a known Zn2+ receptor, was used to covalently coat the surface of QDs. The interaction of the molecule with a CuInS2 dot led to suppression of its PL, probably by disruption of the radiative recombination process.31 Then, chelation with Zn2+ using the lone pair electrons of the N atom of 8-aminoquinoline inhibited the quenching process, leading to the recovery of the PL. A SiO2–S–Zn–CdS QD with a suppressed PL induced by S2− was prepared, and the presence of Zn2+ or Cd2+ enhanced the PL by formation of a ZnS or CdS passivation layer around the QDs.32

Pb2+ is among the most toxic of the heavy metals. However, because of the self-luminescence of serum proteins excited by visible light, sensors that can detect the ion in serum samples have been rare. A near infrared (NIR, which eliminates protein auto-luminescence) fluorescence resonance energy transfer (FRET) based sensor for Pb2+ was developed using an upconversion NaYF4:Yb3+/Tm3+ nanoparticle as the energy donor and CdTe QDs as the energy acceptor.33 The sensor showed good linear Stern–Volmer characteristics and a nanomolar LOD for Pb2+ in a serum sample. In contrast, a silica coated ZnS QD for Pb2+ detection based on PL quenching was reported.34

A 15-crown-5-ether coated CdSe/ZnS QD was constructed for ratiometric detection of K+.35 Through conjugation with a crown-coupled rhodamine B selectively mediated by K+, the PL of the QDs decreased and the fluorescence of the rhodamine increased due to the FRET mechanism (Fig. 4). Metal–organic frameworks (MOFs) have attracted intensive interest in many research areas. A MOF construct was used to cage a ZnO QD by electrostatic interactions, quenching its PL by electron transfer (ET) processes.36 Subsequently, only the addition of sodium phosphate, among other species, collapsed the MOF–QD complex, which led to recovery of the PL of the QDs (Fig. 5). The properties of the QD based ion sensors reviewed in this section are listed in Table 1.


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Fig. 4 Detection of an analyte based on FRET between QDs and dyes.

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Fig. 5 Detection of an analyte using a MOF–QD construct.
Table 1 Properties of the QD based sensors for ions
Analyte Structure CAa,b LODc (μM) Ref.e
a CA means capping agent.b Abbreviations: GSH = glutathione; MAA = mercaptoacetic acid; CTAB = hexadecyl trimethylammonium bromide; n.a. = not available; MSA = mercaptosuccinic acid; MPA = 3-mercaptopropoinic acid; NAC = N-acetyl-L-cysteine; TGA = thioglycolic acid; MPTMS = 3-mercaptopropyltrimethoxysilane; 15C5E = 15-crown-5-ether; APTMS = (3-aminopropyl) trimethoxysilane.c LOD means limit of detection.d μg mL−1.e Reference (ref.) number cited in the main text.
Cu2+ CdTe GSH 0.67d 13
ZnSe GSH 0.0001 14
ZnSe MAA 0.47 15
CdS L-Cysteine 0.013 16
CdSe/ZnS CTAB 0.00014 17
ZnO n.a. 0.768 18
Silicon n.a. 0.008 19
Ag+ CdTe Homocysteine 0.008 20
CdTe MSA 0.054 21
Hg2+ CdS MSA 0.51 22
CdTe/CdS MPA 0.31 23
Co2+ Mn-doped ZnS NAC 0.06 24
CuInS2/ZnS TGA 0.16 25
Fe2+ CdTe TGA 0.12 26
Cr3+ CdTe MPA/TGA n.a. 27
Mn-doped ZnS Protein 0.003 28
CdSe MPTMS 0.03 29
Zn2+ CdTe Chitosan 4.5 30
CuInS2 MPA 4.5 31
SiO2–S–Zn–CdS GSH 2.0 32
Pb2+ NaYF4:Yb3+/Tm3+/CdTe TGA 0.008 33
ZnS Silica n.a. 34
K+ CdSe/ZnS 15C5E 4.3 35
Phosphate ZnO APTMS 0.053 36


2.2. QD based chemosensors for small molecules

Detection of biologically important small molecules such as amino acids and natural products may aid not only basic research, but also disease diagnosis. The rationale for the sensing generally depends on the decoration of QDs with a receptor (Fig. 6) or with a molecularly imprinted polymer (MIP, a method to make artificial receptors, Fig. 7) for the small molecule of interest. After the specific receptor–ligand recognition, the PL of the QD can be tuned (either turn-on or turn-off) as elaborated in the following context.
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Fig. 6 Detection of an analyte based on competitive ligand–receptor binding.

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Fig. 7 Detection of an analyte based on QDs coated with molecularly imprinted polymers.

Amino acids and small peptides are important regulators of physiological processes. On the basis of competitive ligand–receptor binding, “turn-on” QD sensors were developed for histidine (Fig. 6). Nickel37 and manganese38 were used to coordinate with dopamine-coated and GSH-coated QDs, respectively, quenching the PL. Both systems showed a recovered PL in the presence of histidine because of the competitive binding of the metal ions with the amino acid.

A MIP (Fig. 7) was covalently linked to a QD, which showed better cysteine recovery rates from serum samples than unmodified QDs.39 GSH, a tripeptide, is over-expressed in some cancer cells. Sensitive detection of GSH will facilitate cancer diagnosis. Upconversion QDs were coated with quinones to quench the PL. Then, the addition of GSH reduced the quinones, inhibiting the electron-transfer (from QDs to quinone) induced quenching of the QDs.40,41

Polyphenols are among the most abundant antioxidants in our diet. Considering that they possess a diverse range of biological activities, sensitive tracking of the amount of polyphenols in our body is important. The rationale on which to design QD based polyphenol sensors mainly relies on the electron-transfer induced quenching mechanism (Fig. 8). With this principle, enzyme-coated,42 MIP-capped,43,44 and thioglycollic acid-capped45 QDs were constructed for sensing catechin, trichlorophenol and kaempferol, respectively.


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Fig. 8 Detection of an analyte based on the reversible electron transfer (ET) mechanism.

Free radicals are another class of important signalling species in the human body. On the basis of PL quenching, QD-hyperbranched polyether hybrid nanospheres46 and ZnO QDs47 were constructed for the detection of nitroxide radicals. Boronate-coated CuInS2 QDs48 and wurtzite CuGaS2 QDs49 were prepared for dopamine and L-noradrenaline, respectively, similarly based on PL quenching. In contrast, a PL “turn-on” CdTe/CdS/ZnS QD sensor with surface-attached KMnO4 was used to determine L-ascorbic acid in human urine samples.50 FRET was also used to construct QD sensors for small molecules. A bovine serum albumin (BSA)-conjugated 17β-estradiol was used to covalently coat a QD.51 Then, by competitive binding between free 17β-estradiol and the surface-confined 17β-estradiol with a fluorescent aptamer, the PL of the QDs could be quenched due to FRET. FRET was also shown to tune the PL of mercaptopropionic acid coated CdS QDs upon interaction with vitamin B12, facilitating pharmaceutical and biomedical analyses of the natural product.52

Meanwhile, QD based detection for toxic chemicals has been carried out. A solid-phase immunoassay was developed, using two antibody-coated QDs with different emission wavelengths, for the simultaneous quantification of clothianidin and thiacloprid in real samples.53 CuIS2 QDs stabilized with mercaptopropionic acid were synthesized, which showed a quenched PL in the presence of Pb2+.54 This QD sensor was used to detect parathion-methyl (PM). PM can be hydrolyzed by organophosphorus hydrolase, producing di-methylthiophosphoricacid to bind Pb2+ ions originally adsorbed on the QD surface, thus recovering the PL.

Gold nanoparticles (AuNPs) were used as an FRET acceptor for QDs to construct a PL sensor for melamine (that has a stronger binding affinity for AuNPs than for QDs) contamination in milk productions.55 Melamine, when confined on the QD surface, was used alternatively as a receptor for clenbuterol in biological fluids, producing a quenched PL due to aggregation.56 MIP coated QDs were prepared to sense both melamine and clenbuterol through PL quenching,57 and the mechanism was also exploited for sensing toxic chemicals such as cyphenothrin58 and dycyandiamide.59 The properties of the QD based small-molecule sensors reviewed in this section are listed in Table 2.

Table 2 Properties of the QD based sensors for small molecules
Analyte Structure CAa,b LODc (μM) Ref.e
a CA means capping agent.b Abbreviations: MPA = 3-mercaptopropoinic acid; GSH = glutathione; MIP = molecular imprinted polymer; PAA = polyacrylic acid; TGA = thioglycolic acid; NAC = N-acetyl-L-cysteine.c LOD means limit of detection.d μg mL−1.e Reference (ref.) number cited in the main text.
L-Histidine CdTe MPA 0.5 37
Histidine CdTe GSH 0.00182d 38
Cysteine CdTe MIP 0.85 39
GSH NaYF4:Yb PAA 0.29 40
CdTe MPA 0.0065 41
Polyphenol CdTe Enzyme 0.001d 42
Mn-doped ZnS MIP n.a. 43
CdTe MIP 0.00025d 44
CdTe TGA 0.79d 45
NO CdSe Polyether 0.025 46
Radical ZnO n.a. n.a. 47
Dopamine CuInS2 MCA 0.2 48
L-Noradrenaline CuGaS2 MCA 0.5 49
L-Ascrobic acid CdTe/CdS/ZnS NAC 0.0018 50
Estradiol Qdot 605 ITK™ n.a. 0.00022 51
Vitamin B12 CdS MPA 6.91d 52
Toxic chemicals CdSe/ZnS Antibody 0.0003d 53
CuInS2 MPA 0.06 54
CdTe/CdS TGA 0.08 55
Mn-doped ZnS MPA 0.0032d 56
CdTe MIP 0.4 57
Mn-doped ZnS MIP 0.009 58
CuInS2 MPA 0.6 59


3. QD based biosensors

3.1. QD based biosensors for biomolecules

Use of QDs for the detection of biomolecules such as DNA, proteins and saccharide has been an active research area. Replacement assay represents the most employed tactic to construct the sensors. For example, QDs decorated with a ligand–quencher conjugate show a turn-on PL upon interaction of the conjugate with the test biomolecule (Fig. 9). Sophisticated QD sensors with a surface-immobilized redox center have also been developed to tune the PL of QDs by electron transfer (Fig. 10), enabling the photoluminogenic probing of biomolecules on both the molecular and cellular levels.
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Fig. 9 Detection of a protein using the QD PL “turn off–on” rationale.

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Fig. 10 Detection of cell-membrane sugar receptors using QDs coated with a sugar–quencher dyad.

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Fig. 11 Detection of DNA using the QD PL “turn off–on” rationale.

Because of their high binding affinity and specificity for DNA, organometallic compounds were used for conjugation with QDs. Ruthenium60 and platinum61 based organometallic anticancer drugs, which can quench the PL of QDs when bound to the surface, were employed to detect various DNAs in a “turn off–on” manner (Fig. 11). Other quenching-type molecules, such as nile blue62 and cationic porphyrin,63 also showed promise in detecting DNA with a “turn-on” PL. Copper free click chemistry was conducted to couple a single-stranded DNA to the surface of the QDs.64 Then, FRET could be induced while a fluorophore-labelled complementary DNA probe was added, forming a double-stranded DNA on the surface of the QDs. This hybridized sensor was used for both DNA and protein detection. Similarly, nucleic acid stabilized silver-nanocluster QDs were demonstrated for the multiplex analysis of two DNAs.65

QDs were also used for the determination of enzymatic activities. A fluorophore-labelled peptide, self-assembled on QDs with a zwitter ionic surface, was used as a substrate for the detection of kallikrein (a key proteolytic enzyme for the blood clotting cascade).66 The FRET between the fluorophore label and the QDs could be inhibited through digestion of the surface-coated peptide by the enzyme. On the basis of the same rationale, detection of the activity of human topoisomerase I was accomplished by a DNA coated QD.67 A peptide coated gold cluster QD was used for detection of a protein kinase.68 The presence of casein kinase II phosphorylated the serine residue of the surface-confined peptides, and subsequent coordination with Zr4+ using the phosphates led to PL quenching of the QDs.

Prostate specific antigen (PSA) is a biomarker for prostate cancer. An anti-PSA antibody coated QD, pre-conjugated with a quencher-labelled epitope peptide, was developed for the displacement-based detection of PSA.69 A thrombin–aptamer coated QD, which showed a quenched PL with carbon nanodots due to FRET, was prepared.70 It was shown that selective aptamer–thrombin interactions led to recovered PL, making possible a “turn-on” detection of the protein in biological fluids (Fig. 9). Ionic liquid functionalized silica-capped CdTe QDs were used for detection of hemoproteins by a PL quenching signal produced by the covalent interaction of the ionic liquid with the heme group.71 A homogenous and fast detection protocol was established based on the conjugation of a conjoined protein binding agent/organic dye ligands to QDs for the quantitative detection of protein analytes.72

Sugar–lectin recognitions are important biological interactions that can manipulate a myriad of cellular events. Quinonyl glycosides with a thiol anchor were synthesized to coat QDs, quenching the PL by an ET mechanism.73 Subsequent addition of a sugar receptor recovered the PL, probably because of the encapsulation of the sugar–quinone quencher dyad by the protein, blocking the ET. The glycoquinone functionalized QDs were used for the selective imaging of live cancer cells that express a sugar receptor in a photoluminogenic manner. Simultaneous detection of two sugar recognition proteins (lectins) was accomplished using a pair of QDs with different emission wavelengths coated with different sugar ligands.74 Based on polymeric lectin-mediated QD aggregation, the dual QD emission could be quenched concomitantly upon the addition of both lectins.

QDs confined in a thin polymer film were constructed for PL-quenching based detection of glucose with a contact-free scheme.75 The technique relied on formation of fluorescent NADH, a byproduct of a hexokinase-6-phosphate dehydrogenase enzymatic glycose assay, to reduce the PL of the QDs. The sensor was shown to operate over the entire clinical glucose concentration range of human urine and whole blood. Boronate coated CdSe QDs, when bound with glycerol coated AuNPs, showed a much more enhanced PL due to the surface plasmon resonance of the latter.76 The presence of glucose competitively conjugated with the boronic QDs, leading to a weakened PL. While heparin (a negatively charged sulphated polysaccharide) has been used clinically for surgeries, its overdose might cause fatal complications. A ruthenium complex quencher was coated with QDs for the “turn-on” detection of heparin because of the strong electrostatic and hydrogen bonding interactions occurring between the complex and saccharide.77 The properties of the QD based biomolecule sensors reviewed in this section are listed in Table 3.

Table 3 Properties of the QD based sensors for biomolecules
Analyte Structure CAa,b LODc (μM) Ref.f
a CA means capping agent.b Abbreviations: NAC = N-acetyl-L-cysteine; GSH = glutathione; TGA = thioglycolic acid; NA = nucleic acid; DHLA = dihydroplipoic acid; MPA = 3-mercaptopropoinic acid.c LOD means limit of detection.d μg mL−1.e Unit mL−1.f Reference (ref.) number cited in the main text.
DNA CdTe NAC 0.0011 60
Peptide CdTe NAC n.a. 61
CdTe GSH 0.0028d 62
CdTe TGA 0.0027 63
CdSe/ZnS DHLA 0.00009 64
Ag cluster NA 0.001 65
CdSe/ZnS DHLA n.a. 66
Enzyme Qdot 605 ITK™ n.a. 0.00025d 67
Au cluster Peptide 0.027e 68
Protein Qdot n.a. n.a. 69
Sugar Mn-doped ZnS MPA 0.000013 70
CdTe Silica n.a. 71
CdSe/ZnS Silane 0.00004 72
CdSe/ZnS Glycoquinone n.a. 73
n.a. n.a. 0.0003 74
n.a. n.a. 3.5 75
CdSe MPA 1860 76
CdTe TGA 0.00068 77


3.2. QD based biosensors for live cell imaging

By taking advantage of their superior optical properties including high signal brightness and photostability, bio-functionalized QDs have been used for cellular imaging. QDs decorated with a targeting agent that can facilitate the uptake of the QD by specific cells and/or with a reactive site with the ability to interact with a defined intracellular species have been extensively prepared for the “target-specific” imaging of live cells.

A chitosan-O-phospho-L-serine coated QD was prepared for imaging human bone marrow stromal cells.78 The QDs with no cytotoxicity for the cells could be further used for PL detection of tissue regeneration and metabolic events. Since water soluble QDs are needed for biological applications, hydrophilic ZnCuInS/ZnS QDs79 and CdTe QDs capped with a mixture of organic acids80 were prepared for both in vitro cellular staining and in vivo imaging of tumors. Meanwhile, gadolinium labelled silica coated QDs were prepared for concerted magnetic resonance and PL imaging of cancer cells.81

Studies that focus on target-specific imaging of cellular species have also been reported. In addition to targeting transmembrane receptors of cancer cells using glycoquinone coated QDs,73 biofunctionalized QDs were prepared for probing intracellular enzymes. Mitochondrial NADH:ubiquinone oxidoreductase (complex I) is strongly implicated in Parkinson’s disease. Ubiquinone coated CdSe/ZnS QDs were constructed.82 With NADH, complex I could modulate the electrochemistry of the surface-coated quinone/hydroquinone redox couple, leading to a PL change as an optical signal to image human neuroblastoma cells.

For protease detection in cells, streptavidin coated QDs and monomaleimide coated nanogold were linked via a caspase-3 selective substrate peptide to quench the PL of QDs by FRET.83 Epidermal growth factor (EGF) was used to target the EGF receptors on cancer cells, enhancing the endocytosis efficiency. Finally, the endocytosed nanoparticle complexes could be cleaved by caspase-3 to restore the PL. For in vivo application, aptamer labelled84 and anti-Aβ antibody coated85 QDs were prepared for imaging xenograft and senile plaques formed in mouse models, respectively. Targeted in vivo imaging of glioblastoma and prostate cancer angiogenesis using vascular endothelial growth factor antibody bioconjugated Ag2S QDs86 and QDs coated with anti-vascular endothelial growth factor receptor 2 antibody, respectively,87 was also realized.

Multifunctional QDs with both imaging and suppression properties towards cancer cells were developed for disease theranostics. Cys-CdTe QDs loaded with gambogic acid, an anticancer drug, showed enhanced drug accumulation in leukemia cells.88 A composite structure containing gold nanoflowers, SiO2 and QDs was constructed. In addition to its imaging ability, the structure also showed a thermotherapeutic effect for breast cancer cells upon NIR irradiation.89

3.3. QD based biosensors for in vivo applications

Although arguments remain against the real application of QDs in vivo to complement current clinical contrast agents, attempts to evaluate the imaging ability of QDs with animal models have been extensive. The readers are also directed to some recent comprehensive reviews on this particular subject.90–92 Besides the target-specific in vivo imaging studies highlighted in the last section,79,80,84–87 many other innovative investigations have been carried out.

While the emission wavelength of the majority of currently used QDs falls into the first NIR window (650–950 nm) or below, QDs with a second NIR window emission (1000–1400 nm) have been developed. Thanks to their deeper photon penetration, these materials are believed to offer greater promise for tissue and in vivo imaging.93 Polyethylene glycol (PEG) coated Ag2S QDs with >1000 nm emission wavelength were prepared for evaluation of their toxicity in vivo.94 It was shown that, over a period of 2 months, the QDs did not cause appreciable toxicity to mice, which suggested their potential for in vivo imaging. PbS/CdS QDs (ca. 1300 nm emission) with an improved quantum yield was fabricated, which showed high signal-to-background ratio and low blurring for in vivo imaging.95 Ag2S QDs with the ability to visualize tissue blood flow and angiogenesis,96 and a novel type of Ag2Se QD with a 1000–1500 nm emission window were also developed.97

To address the toxicity issue of heavy-metal based QD materials, InP/ZnS QDs98 and silicon QDs99 were prepared and evaluated systematically for their in vivo toxicity towards mice and/or monkeys. Both were proven to be safer than traditional CdSe QDs. As an organic alternative to inorganic QDs, far-red/near infrared dots with aggregation-induced emission (AIE dots) were developed, showing promising properties such as high emission efficiency, strong photobleaching resistance as well as good biocompatibility.100

4. New trends

In addition to the conventional application of QDs as chemo- and biosensors, some new trends of using these materials are noteworthy. Of much interest is the synthesis of QDs by living organisms. It was shown that the earthworm’s metal detoxification pathway was suited for producing CdTe QDs.101 In addition to the QDs with a second NIR window emission, the combination of upconversion materials with QDs for biosensing represents another elegant strategy for developing biosensors. In particular, the combination yields NIR emissions, low background signal and thus a lowered detection limit.102

On the basis of their photophysical advantages, QDs have been employed in the development of diagnostic tools. In particular, QDs have been used as organic dye surrogates in immunoassays for detection of disease markers. By taking advantage of Tb-to-QD FRET, antibody-coupled Tb and QDs were used to form a sandwich complex with the prostate marker PSA with an LOD below the clinical cut-off line.103 QDs were also co-doped with other materials for immunoassays. Microbeads were extensively used to encapsulate QDs due to their advantages such as better quality control and solution kinetics and less sample requirements.104 QD barcode assays using microfluidics and magnetism were established for point-of-care diagnosis of HIV, hepatitis B and syphilis.105 Notably, a multicolor multicycle in situ imaging technology was developed, which enabled the molecular profiling of individual cells in a quantitative manner.106

Luminescent enhanced QD beads and liposomes loaded with QDs were prepared for the immunochromatographic detection of trace aflatoxin B1 in maize107 and determination of a food contaminant.108 Notably, considering that most of the endoscopic diagnosis is based on the clinician’s naked eye, antibody coated QDs were used to spray and wash colon tumor tissues inside live animals.109 This provided an advantage for detecting small or flat tumors.

Finally, the employment of QDs in fingermark detection has been highlighted in the forensic literature. ZnS:Cu QDs110 and hierarchical SiO2-QDs@SiO2 nanostructures111 were applied for visualization of (blood) fingerprints, offering a “brighter” means for forensics than conventional techniques.

5. Summary and perspective

In this review we have briefly summarized the development of QDs for application in a variety of practical fields over the past two years. These fields include the PL sensing of chemical pollutants and biologically important species, cellular and in vivo imaging, and disease diagnosis and forensics. Despite the many elegant investigations, some essential problems remain, hampering the commercialization of QD sensors.

First, for analyte detection, the majority of the developed QD sensors are PL-quenching based. This “off-mode” signal might not be accurate enough for real application since in the complex biological system, non-specific PL quenching may frequently occur. Although other QD sensors with an “on-mode” signal have been developed, most of the systems dissemble upon interaction with an analyte. This might also lead to production of false-positive signals in a bio-system. More decent “on-type” detection rationales that could overcome the above drawbacks are needed.

Second, sensor standardization represents another main obstacle posed against the commercialization of these nanomaterials. Although standard procedures for producing a QD itself have been relatively matured, those for their biofunctionalization might require further improvement. For example, in the covalent coupling of an antibody to the surface of QDs, one can hardly specify that each QD particle would be coated with a similar amount of antibodies with an identically well-defined distribution. These factors would cause irreproducibility of the QD sensors from batch to batch.

Last but not least, toxicity, a long-standing issue against QDs’ biomedical applications, should be carefully examined.112 Efforts have been made to use relatively less toxic elements to fabricate a QD, even for QDs with an emission over the second NIR window. Alternatively, the development of core–shell QD structures has been extensive. Indeed, in addition to preventing surface traps and improving the stability of QDs, the development of metal semiconductor core–shell structures can minimize the potential toxicity of conventional core materials consisting of heavy metals in biomedical applications. These core–shell structures have been realized chemically,113 electrochemically114,115 and physically,116 and applied in the sensitive detection of gases.117–119

However, discrepancy exists between cell culture and animal studies.112 As proposed in a recent account, rather than simply asking “are QDs toxic?”,112 standardized and systematized methodologies to assess the safety of each specific QD material (which is a combination of a core–shell structure, a capping agent, a receptor, a targeting agent, etc.), must be carefully established.

The authors are looking forward to elegant design strategies and applications of QD nanosensors or incorporated devices for clinical diagnosis as well as for detection of sugar–lectin recognitions,120–128 a class of pivotal biological events that control cell fate. Use of sugars as a targeting agent for target-specific imaging of cellular species73,129,130 could also be considered as a promising strategy for QD based sensor design.

Acknowledgements

This research is supported by the 973 project (2013CB733700), the National Natural Science Foundation of China (21176076, 21202045, 21202097), the Key Project of Shanghai Science and Technology Commission (13NM1400900) and the Fundamental Research Funds for the Central Universities.

Notes and references

  1. A. P. Alivisatos, Science, 1996, 271, 933–937 CAS .
  2. I. L. Medintz, H. T. Uyeda, E. R. Goldman and H. Mattoussi, Nat. Mater., 2005, 4, 435–446 CrossRef CAS PubMed .
  3. C. Suksai and T. Tuntulani, Chem. Soc. Rev., 2003, 32, 192–202 RSC .
  4. L. Fabbrizzi, M. Licchelli, G. Rabaioli and A. Taglietti, Coord. Chem. Rev., 2000, 205, 85–108 CrossRef CAS .
  5. P. D. Beer, Acc. Chem. Res., 1998, 31, 71–80 CrossRef CAS .
  6. K. Huang, C. Jiang and A. A. Martí, J. Phys. Chem. A, 2014, 118, 10353–10358 CrossRef CAS PubMed .
  7. J. Wang, Electroanalysis, 2005, 17, 7–14 CrossRef CAS .
  8. C. B. Jacobs, M. J. Peairs and B. J. Venton, Anal. Chim. Acta, 2010, 662, 105–127 CrossRef CAS PubMed .
  9. A. Saha, C. Jiang and A. A. Martí, Carbon, 2014, 79, 1–18 CrossRef CAS PubMed .
  10. X.-P. He, Y. Zang, T. D. James, J. Li and G.-R. Chen, Chem. Soc. Rev. 10.1039/c4cs00252k .
  11. M. Pumera and A. H. Loo, Trends Anal. Chem., 2014, 61, 49–53 CrossRef CAS PubMed .
  12. I. Yildiz, M. Tomasulo and F. M. Raymo, Proc. Natl. Acad. Sci. U. S. A., 2006, 103, 11457–11460 CrossRef CAS PubMed .
  13. Y. Ding, S. Z. Shen, H. Sun, K. Sun and F. Liu, Sens. Actuators, B, 2014, 203, 35–43 CrossRef CAS PubMed .
  14. A. S. Lima, S. S. M. Rodrigues, M. G. A. Korn, D. S. M. Ribeiro, J. L. M. Santos and L. S. G. Teixeira, Microchem. J., 2014, 117, 144–148 CrossRef CAS PubMed .
  15. D. Wu, Z. Chen, G. Huang and X. Liu, Sens. Actuators, A, 2014, 205, 72–78 CrossRef CAS PubMed .
  16. H. Abdollahi, M. Shamsipur and A. Barati, Spectrochim. Acta, Part A, 2014, 127, 137–143 CrossRef CAS PubMed .
  17. L.-H. Jin and C.-S. Han, Anal. Chem., 2014, 86, 7209–7213 CrossRef CAS PubMed .
  18. S. M. Ng, D. S. N. Wong, J. H. C. Phung and H. S. Chua, Talanta, 2013, 116, 514–519 CrossRef CAS PubMed .
  19. J. Zhao, J. Ding, Y. Yi, H. Li, Y. Zhang and S. Yao, Talanta, 2014, 125, 372–377 CrossRef CAS PubMed .
  20. H. Jiao, L. Zhang, Z. Liang, G. Peng and H. Lin, Microchim. Acta, 2014, 181, 1393–1399 CrossRef CAS .
  21. C. Cai, H. Cheng, Y. Wang and H. Bao, RSC Adv., 2014, 4, 59157–59163 RSC .
  22. M. S. Hosseini and A. Pirouz, Luminescence, 2014, 29, 798–804 CrossRef CAS .
  23. Q. Mu, L. Yan, H. Xu, Y. Ma, W. Zhu and X. Zhong, Talanta, 2014, 119, 564–571 CrossRef CAS PubMed .
  24. W. Bian, J. Ma, Q. Liu, Y. Wei, Y. Li, C. Dong and S. Shuang, Luminescence, 2014, 29, 151–157 CrossRef CAS PubMed .
  25. L. Zi, Y. Huang, Z. Yan and S. Liao, J. Lumin., 2014, 148, 359–363 CrossRef CAS PubMed .
  26. R.-Y. Wang, J. Wu, L.-J. Wang, R. Wang and H.-J. Dou, Spectrosc. Lett., 2014, 47, 439–445 CrossRef CAS .
  27. J. Han, X. Bu, D. Zhou, H. Zhang and B. Yang, RSC Adv., 2014, 4, 32946–32952 RSC .
  28. T. Zhao, X. Hou, Y.-N. Xie, L. Wu and P. Wu, Analyst, 2013, 138, 6589–6594 RSC .
  29. T.-W. Sung, Y.-L. Lo and I.-L. Chang, Sens. Actuators, B, 2014, 202, 1349–1356 CrossRef CAS PubMed .
  30. Q. Ma, Z.-H. Lin, N. Yang, Y. Li and X.-G. Su, Acta Biomater., 2014, 10, 868–874 CrossRef CAS PubMed .
  31. Z. Liu, G. Li, Q. Ma, L. Liu and X. Su, Microchim. Acta, 2014, 181, 1385–1391 CrossRef CAS .
  32. X. Luo, W. Wu, F. Deng, D. Chen, S. Luo and C. Au, Microchim. Acta, 2014, 181, 1361–1367 CrossRef CAS .
  33. S. Xu, S. Xu, Y. Zhu, W. Xu, P. Zhou, C. Zhou, B. Dong and H. Song, Nanoscale, 2014, 6, 12573–12579 RSC .
  34. H. Qu, L. Gao, G. Su, W. Liu, R. Gao, C. Xia and J. Qin, J. Nanopart. Res., 2014, 16, 2762 CrossRef .
  35. H.-L. Lee, N. Dhenadhayalan and K.-C. Lin, RSC Adv., 2015, 5, 4926–4933 RSC .
  36. D. Zhao, X. Wan, H. Song, L. Hao, Y. Su and Y. Lv, Sens. Actuators, B, 2014, 197, 50–57 CrossRef CAS PubMed .
  37. F. Shi, S. Liu and X. Su, Talanta, 2014, 125, 221–226 CrossRef CAS PubMed .
  38. J. Yang, S. Liu, L. Wang, C. Hao, H. Gong, Y. Shen and Y. He, Spectrosc. Lett., 2015, 48, 351–358 CrossRef CAS .
  39. M.-R. Chao, C.-W. Hu and J.-L. Chen, Microchim. Acta, 2014, 181, 1085–1091 CrossRef CAS .
  40. Y. Zhang, Y. Tang, X. Liu, Z. Zhang and Y. Lv, Sens. Actuators, B, 2013, 185, 363–369 CrossRef CAS PubMed .
  41. R. Gui, H. Jin, X. Liu, Z. Wang, F. Zhang, J. Xia, M. Yang and S. Bi, Chem. Commun., 2014, 50, 14847–14850 RSC .
  42. U. S. Akshath, L. R. Shubha, P. Bhatt and M. S. Thakur, Biosens. Bioelectron., 2014, 57, 317–323 CrossRef CAS PubMed .
  43. X. Wei, Z. Zhou, J. Dai, T. Hao, H. Li, Y. Xu, L. Gao, J. Pan, C. Li and Y. Yan, J. Lumin., 2014, 155, 298–304 CrossRef CAS PubMed .
  44. S. Han, X. Li, Y. Wang and S. Chen, RSC Adv., 2015, 5, 2129–2136 RSC .
  45. X. Tan, S. Liu, Y. Shen, Y. He and J. Yang, Spectrochim. Acta, Part A, 2014, 133, 66–72 CrossRef CAS PubMed .
  46. S. Liu, T. Gu, J. Fu, X. Li, I. S. Chronakis and M. Ge, Mater. Sci. Eng., C, 2014, 45, 37–44 CrossRef CAS PubMed .
  47. O. L. Stroyuk, A. V. Yakovenko, O. E. Raevskaya and V. F. Plyusinin, Phys. B, 2014, 453, 127–130 CrossRef CAS PubMed .
  48. S. Liu, F. Shi, X. Zhao, L. Chen and X. Su, Biosens. Bioelectron., 2013, 47, 379–384 CrossRef CAS PubMed .
  49. Q. Zhou, S.-Z. Kang, X. Li, L. Wang, L. Qin and J. Mu, Colloids Surf., A, 2015, 465, 124–129 CrossRef CAS PubMed .
  50. S. Huang, F. Zhu, Q. Xiao, W. Su, J. Sheng, C. Huang and B. Hu, RSC Adv., 2014, 4, 46751–46761 RSC .
  51. F. Long, H. Shi and H. Wang, RSC Adv., 2014, 4, 2935–2941 Search PubMed .
  52. A. H. Gore, M. B. Kale, P. V. Anbhule, S. R. Patil and G. B. Kolekar, RSC Adv., 2014, 4, 683–692 RSC .
  53. M. Li, M. Ma, X. Hua, H. Shi, Q. Wang and M. Wang, RSC Adv., 2015, 5, 3039–3044 RSC .
  54. X. Yan, H. Li, Y. Yan and X. Su, Food Chem., 2015, 173, 179–184 CrossRef CAS PubMed .
  55. J. Zhao, H. Wu, J. Jiang and S. Zhao, RSC Adv., 2014, 4, 61667–61672 RSC .
  56. Y. Gong and Z. Fan, Sens. Actuators, B, 2014, 202, 638–644 CrossRef CAS PubMed .
  57. B. T. Huy, M.-H. Seo, X. Zhang and Y.-I. Lee, Biosens. Bioelectron., 2014, 57, 310–316 CrossRef CAS PubMed .
  58. X. Ren and L. Chen, Biosens. Bioelectron., 2015, 64, 182–188 CrossRef CAS PubMed .
  59. S. Liu, S. Pang, H. Huang and X. Su, Analyst, 2014, 139, 5852–5857 RSC .
  60. S. Huang, F. Zhu, H. Qiu, Q. Xiao, Q. Zhou, W. Su and B. Hu, Colloids Surf., B, 2014, 117, 240–247 CrossRef CAS PubMed .
  61. D. Zhao, J. Li, T. Yang and Z. He, Biosens. Bioelectron., 2014, 52, 29–35 CrossRef CAS PubMed .
  62. Y. Shen, S. Liu, L. Kong, X. Tan, Y. He and J. Yang, Analyst, 2014, 139, 5858–5867 RSC .
  63. E. Vaishnavi and R. Renganathan, Analyst, 2014, 139, 225–234 RSC .
  64. H. Zhang, G. Feng, Y. Guo and D. Zhou, Nanoscale, 2013, 5, 10307–10315 RSC .
  65. N. Enkin, F. Wang, E. Sharon, H. B. Albada and I. Willner, ACS Nano, 2014, 8, 11666–11673 CrossRef CAS PubMed .
  66. J. C. Breger, K. E. Sapsford, J. Ganek, K. Susumu, M. H. Stewart and I. L. Medintz, ACS Appl. Mater. Interfaces, 2014, 6, 11529–11535 CAS .
  67. M. L. Jepsen, A. Ottaviani, B. R. Knudsen and Y.-P. Ho, RSC Adv., 2014, 4, 2491–2494 RSC .
  68. W. Song, Y. Wang, R.-P. Liang, L. Zhang and J.-D. Qiu, Biosens. Bioelectron., 2015, 64, 234–240 CrossRef CAS PubMed .
  69. N. Frascione, J. Gooch, V. Abbate and B. Daniel, RSC Adv., 2015, 5, 6595–6598 RSC .
  70. L. Zhang, P. Cui, B. Zhang and F. Gao, Chem.–Eur. J., 2013, 19, 9242–9250 CrossRef CAS PubMed .
  71. D.-Y. Li, Y.-Z. Wang, X.-L. Zhao, X.-W. He, W.-Y. Li and Y.-K. Zhang, J. Mater. Chem. B, 2014, 2, 5659–5665 RSC .
  72. C. M. Tyrakowski and P. T. Snee, Anal. Chem., 2014, 86, 2380–2386 CrossRef CAS PubMed .
  73. W. Ma, H.-T. Liu, X.-P. He, Y. Zang, J. Li, G.-R. Chen, H. Tian and Y.-T. Long, Anal. Chem., 2014, 86, 5502–5507 CrossRef CAS PubMed .
  74. H. Zhang, L. Zhang, R.-P. Liang, J. Huang and J.-D. Qiu, Anal. Chem., 2013, 85, 10969–10976 CrossRef CAS PubMed .
  75. S. A. Khan, G. T. Smith, F. Seo and A. K. Ellerbee, Biosens. Bioelectron., 2015, 64, 30–35 CrossRef CAS PubMed .
  76. Y. Tang, Q. Yang, T. Wu, L. Liu, Y. Ding and B. Yu, Langmuir, 2014, 30, 6324–6330 CrossRef CAS PubMed .
  77. Y. Cao, S. Shi, L. Wang, J. Yao and T. Yao, Biosens. Bioelectron., 2014, 55, 174–179 CrossRef CAS PubMed .
  78. C. L. Salgado, A. A. P. Mansur, H. S. Mansur and F. J. M. Monteiro, RSC Adv., 2014, 4, 49016–49027 RSC .
  79. W. Guo, N. Chen, C. Dong, Y. Tu, J. Chang and B. Zhang, RSC Adv., 2013, 3, 9470–9475 RSC .
  80. Y. Wang, R. Hu, G. Lin, W.-C. Law and K.-T. Yong, RSC Adv., 2013, 3, 8899–8908 RSC .
  81. B. Lin, X. Yao, Y. Zhu, J. Shen, X. Yang and C. Li, RSC Adv., 2014, 4, 20641–20648 RSC .
  82. W. Ma, L.-X. Qin, F.-T. Liu, Z. Gu, J. Wang, Z. G. Pan, T. D. James and Y.-T. Long, Sci. Rep., 2013, 3, 1537 Search PubMed .
  83. D. Ren, J. Wang and Z. You, RSC Adv., 2014, 4, 54907–54918 RSC .
  84. C. Zhang, X. Ji, Y. Zhang, G. Zhou, X. Ke, H. Wang, P. Tinnefeld and Z. He, Anal. Chem., 2013, 85, 5843–5849 CrossRef CAS PubMed .
  85. L. Feng, H.-Y. Long, R.-K. Liu, D.-N. Sun, C. Liu, L.-L. Long, Y. Li, S. Chen and B. Xiao, Cell. Mol. Neurobiol., 2013, 33, 759–765 CrossRef CAS PubMed .
  86. Y. Wang and X. Yan, Chem. Commun., 2013, 49, 3324–3326 RSC .
  87. H. Kwon, J. Lee, R. Song, S. I. Hwang, J. Lee, Y.-H. Kim and H. J. Lee, Korean J. Radiol., 2013, 14, 30–37 CrossRef PubMed .
  88. J. Li, C. Wu, P. Xu, L. Shi, B. Chen, M. Selke, H. Jiang and X. Wang, RSC Adv., 2013, 3, 6518–6525 RSC .
  89. T. Jiang, N. Yin, L. Liu, J. Song, Q. Huang, L. Zhu and X. Xu, RSC Adv., 2014, 4, 23630–23636 RSC .
  90. C. E. Probst, P. Zrazhevskiy, V. Bagalkot and X. Gao, Adv. Drug Delivery Rev., 2013, 65, 703–718 CrossRef CAS PubMed .
  91. K.-T. Yong, W.-C. Law, R. Hu, L. Ye, L. Liu, M. T. Swihart and P. N. Prasad, Chem. Soc. Rev., 2013, 42, 1236–1250 RSC .
  92. Y. Zhu, H. Hong, Z. P. Xu, Z. Li and W. Cai, Curr. Mol. Med., 2013, 13, 1549–1567 CrossRef CAS .
  93. E. Cassette, M. Helle, L. Bezdetnaya, F. Marchal, B. Dubertret and T. Pons, Adv. Drug Delivery Rev., 2013, 65, 719–731 CrossRef CAS PubMed .
  94. Y. Zhang, Y. Zhang, G. Hong, W. He, K. Zhou, K. Yang, F. Li, G. Chen, Z. Liu, H. Dai and Q. Wang, Biomaterials, 2013, 34, 3639–3646 CrossRef CAS PubMed .
  95. Y. Tsukasaki, M. Morimatsu, G. Nishimura, T. Sakata, H. Yasuda, A. Komatsuzaki, T. M. Watanabe and T. Jin, RSC Adv., 2014, 4, 41164–41171 RSC .
  96. C. Li, Y. Zhang, M. Wang, Y. Zhang, G. Chen, L. Li, D. Wu and Q. Wang, Biomaterials, 2014, 35, 393–400 CrossRef CAS PubMed .
  97. B. Dong, C. Li, G. Chen, Y. Zhang, Y. Zhang, M. Deng and Q. Wang, Chem. Mater., 2013, 25, 2503–2509 CrossRef CAS .
  98. V. Brunetti, H. Chibli, R. Fiammengo, A. Galeone, M. A. Malvindi, G. Vecchio, R. Cingolani, J. L. Nadeau and P. P. Pompa, Nanoscale, 2013, 5, 307–317 RSC .
  99. J. Liu, F. Erogbogbo, K.-T. Yong, L. Ye, J. Liu, R. Hu, H. Chen, Y. Hu, Y. Yang, J. Yang, I. Roy, N. A. Karker, M. T. Swihart and P. N. Prasad, ACS Nano, 2013, 7, 7303–7310 CrossRef CAS PubMed .
  100. K. Li, W. Qin, D. Ding, N. Tomczak, J. Geng, R. Liu, J. Liu, X. Zhang, H. Liu, B. Liu and B. Z. Tang, Sci. Rep., 2013, 3, 1150 Search PubMed .
  101. S. R. Stürzenbaum, M. Höckner, A. Panneerselvam, J. Levitt, J.-S. Bouillard, S. Taniguchi, L.-A. Dailey, R. Ahmad Khanbeigi, E. V. Rosca, M. Thanou, K. Suhling, A. V. Zayats and M. Green, Nat. Nanotechnol., 2013, 8, 57–60 CrossRef PubMed .
  102. For a recent comprehensive review, see: G. Chen, H. Qiu, P. N. Prasad and X. Chen, Chem. Rev., 2014, 114, 5161–5214 CrossRef CAS PubMed .
  103. K. D. Wegner, Z. Jin, S. Lindén, T. L. Jennings and N. Hildebrandt, ACS Nano, 2013, 7, 7411–7419 CrossRef CAS PubMed .
  104. X. Wang, G. Wang, W. Li, B. Zhao, B. Xing, Y. Leng, H. Dou, K. Sun, L. Shen, X. Yuan, J. Li, K. Sun, J. Han, H. Xiao, Y. Li, P. Huang and X. Chen, Small, 2013, 9, 3327–3335 CAS .
  105. Y. Gao, A. W. Y. Lam and W. C. W. Chan, ACS Appl. Mater. Interfaces, 2013, 5, 2853–2860 CAS .
  106. P. Zrazhevskiy and X. Gao, Nat. Commun., 2013, 4, 1619 CrossRef PubMed .
  107. M. Ren, H. Xu, X. Huang, M. Kuang, Y. Xiong, H. Xu, Y. Xu, H. Chen and A. Wang, ACS Appl. Mater. Interfaces, 2014, 6, 14215–14222 CAS .
  108. N. V. Beloglazova, P. S. Shmelin, E. S. Speranskaya, B. Lucas, C. Helmbrecht, D. Knopp, R. Niessner, S. D. Saeger and I. Yu Goryacheva, Anal. Chem., 2013, 85, 7197–7204 CrossRef CAS PubMed .
  109. Y. Park, Y.-M. Ryu, Y. Jung, T. Wang, Y. Baek, Y. Yoon, S. M. Bae, J. Park, S. Hwang, J. Kim, E.-J. Do, S.-Y. Kim, E. Chung, K. H. Kim, S. Kim and S.-J. Myung, ACS Nano, 2014, 8, 8896–8910 CrossRef CAS PubMed .
  110. S. Moret, A. Bécue and C. Champod, Forensic Sci. Int., 2013, 224, 101–110 CrossRef CAS PubMed .
  111. W. Dong, Y. Cheng, L. Luo, X. Li, L. Wang, C. Li and L. Wang, RSC Adv., 2014, 4, 45939–45945 RSC .
  112. K. M. Tsoi, Q. Dai, B. A. Alman and W. C. W. Chan, Acc. Chem. Res., 2013, 46, 662–671 CrossRef CAS PubMed .
  113. Y. Lu, Y. Yin, Z.-Y. Li and Y. Xia, Nano Lett., 2002, 2, 785–788 CrossRef CAS .
  114. C. Gu, H. Xu, M. Park and C. Shannon, Langmuir, 2009, 25, 410–414 CrossRef CAS PubMed .
  115. C. Gu, H. Xu, M. Park and C. Shannon, ECS Trans., 2008, 16, 181–190 CAS .
  116. X. Y. Kong, Y. Ding and Z. L. Wang, J. Phys. Chem. B, 2004, 108, 570–574 CrossRef CAS .
  117. H. Wang, Z. Sun, Q. Lu, F. Zeng and D. Su, Small, 2012, 8, 1167–1172 CrossRef CAS PubMed .
  118. P. Fan, U. K. Chettiar, L. Cao, F. Afshinmanesh, N. Engheta and M. L. Brongersma, Nat. Photonics, 2012, 6, 380–385 CrossRef CAS .
  119. Y.-S. Kim, P. Rai and Y.-T. Yu, Sens. Actuators, B, 2013, 186, 633–639 CrossRef CAS PubMed .
  120. X.-P. He, X.-W. Wang, X.-P. Jin, H. Zhou, X.-X. Shi, G.-R. Chen and Y.-T. Long, J. Am. Chem. Soc., 2011, 133, 3649–3657 CrossRef CAS PubMed .
  121. H.-L. Zhang, X.-L. Wei, Y. Zang, J.-Y. Cao, S. Liu, X.-P. He, Q. Chen, Y.-T. Long, J. Li, G.-R. Chen and K. Chen, Adv. Mater., 2013, 25, 4097–4101 CrossRef CAS PubMed .
  122. Z. Li, S.-S. Deng, Y. Zang, Z. Gu, X.-P. He, G.-R. Chen, K. Chen, T.-D. James, J. Li and Y.-T. Long, Sci. Rep., 2013, 3, 2293 Search PubMed .
  123. B.-W. Zhu, L. Cai, X.-P. He, G.-R. Chen and Y.-T. Long, Chem. Cent. J., 2014, 8, 67 CrossRef PubMed .
  124. X.-P. He, R.-H. Li, S. Maisonneuve, Y. Ruan, G.-R. Chen and J. Xie, Chem. Commun., 2014, 50, 14141–14144 RSC .
  125. H.-L. Zhang, Y. Zang, J. Xie, J. Li, G.-R. Chen, X.-P. He and H. Tian, Sci. Rep., 2014, 4, 5513 Search PubMed .
  126. X.-L. Hu, H.-Y. Jin, X.-P. He, T. D. James, G.-R. Chen and Y.-T. Long, ACS Appl. Mater. Interfaces, 2015, 7, 1874–1878 CAS .
  127. Y. Hang, X.-P. He, L. Yang and J. Hua, Biosens. Bioelectron., 2015, 65, 420–426 CrossRef CAS PubMed .
  128. X.-P. He, B.-W. Zhu, Y. Zang, J. Li, G.-R. Chen, H. Tian and Y.-T. Long, Chem. Sci., 2015, 6, 1996–2001 RSC .
  129. K.-B. Li, Y. Zang, H. Wang, J. Li, G.-R. Chen, T. D. James, X.-P. He and H. Tian, Chem. Commun., 2014, 50, 11735–11737 RSC .
  130. D.-T. Shi, D. Zhou, Y. Zang, J. Li, G.-R. Chen, T. D. James, X.-P. He and H. Tian, Chem. Commun., 2015, 51, 3653–3655 RSC .

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