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Review

Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic

by
Jie-Long He
†,
Da-Shin Wang
† and
Shih-Kang Fan
*
Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Micromachines 2016, 7(2), 29; https://doi.org/10.3390/mi7020029
Submission received: 13 December 2015 / Revised: 25 January 2016 / Accepted: 4 February 2016 / Published: 15 February 2016
(This article belongs to the Special Issue Optofluidics 2015)
Browse Figures
Versions Notes

Abstract

:
Optical detection has long been the most popular technique in immunosensing. Recent developments in the synthesis of luminescent probes and the fabrication of novel nanostructures enable more sensitive and efficient optical detection, which can be miniaturized and integrated with microfluidics to realize compact lab-on-a-chip immunosensors. These immunosensors are portable, economical and automated, but their sensitivity is not compromised. This review focuses on the incorporation and implementation of optical detection and microfluidics in immunosensors; it introduces the working principles of each optical detection technique and how it can be exploited in immunosensing. The recent progress in various opto-microfluidic immunosensor designs is described. Instead of being comprehensive to include all opto-microfluidic platforms, the report centers on the designs that are promising for point-of-care immunosensing diagnostics, in which ease of use, stability and cost-effective fabrication are emphasized.

Graphical Abstract

1. Introduction

An immunosensor is an affinity-based sensor that exploits a specific interaction between an antigen and an antibody to detect and to quantify an analyte, which is typically an antigen that binds to an antibody immobilized on a sensor surface. In response to foreign molecules called antigens, the immune system produces antibodies to recognize antigens. Antigens are generally proteins, polysaccharides, small molecules (haptens) and even short peptides from an antigenic epitope, which might include parts of bacteria, viruses and other microorganisms. Monoclonal antibody (mAb) technology is an important scientific achievement; this process can produce many specific antibodies for immunoassays, which have been widely used for clinical diagnostics and basic biological research [1,2,3,4,5]. It is also a powerful tool for epidemiological surveillance of microorganisms, especially for influenza [6,7,8,9]. The binding strength between an antibody and its antigen can be represented with Kd, a dissociation parameter, which typically lies in the nanomolar (nM) range [10]. A strong and specific interaction is the basis of a traditional immunoassay [11] and an emerging microfluidic immunosensor [12,13,14,15]. The production of high-quality antibodies or the design of alternative binding molecules and structures [16,17] hence plays a central role in deciding the specificity and sensitivity of an immunosensor. A subsequent immobilization on a sensor surface also affects the effective affinity. Because of the myriad design schemes and the chemical nature of this issue [18,19,20], an optimization of binding affinity is beyond the scope of this review, but one should note that a subsequent choice of transducer, which converts the bio-recognition event to a measurable signal, provides an additional rather than a decisive effect on the overall sensitivity of an immunosensor.
In contrast to a conventional immunoassay, which requires several repetitive steps with reagents, an immunosensor integrated with microfluidics has the advantage of automating and simplifying the steps to speed the measurement. Automation, speed, sensitivity and stability are the general indicators for the improvement of a sensor performance. Among detection methods of all types in immunosensing, which include electrochemical [21,22,23], optical [24,25], microgravimetric [26] and thermometric detection [27], optical detection is the mostly popular technique. The reason is its large ratio of signal to noise, non-destructive operation and rapid reading.
This review focuses on the introduction of several optical detection techniques and the microfluidic designs to facilitate the optical detection on a sensor. In Section 2 and Section 3, the working principles of labeled and label-free optical detection methods are reviewed; varied implementation with microfluidics is briefly introduced to help the reader understand how microfluidics can be integrated. Section 4 provides a detailed review of recent progress in microfluidic optical immunosensors. Despite numerous optical schemes that have been proposed for immunosensing in the past decade, few are commercialized and adopted in a clinical laboratory. An overview of recent advances in opto-microfluidic immunosensing have presented in Table 1. This review is hence not intended to be comprehensive to cover all recent progress in this field, but instead centers on the techniques widely adopted in medical laboratories and those emerging as potential alternatives in the future. The desired features for future medical application include instrumentation simplicity, less cost per assay, high sensitivity and specificity, less requisite sample volume and purity for assay, ease of multiplexingand, in particular, nonspecific background. Optical detections with signals produced by non-optical excitation such as enzyme-linked immunosorbent assay (ELISA) and electrochemiluminescence generally equip with simpler instrumentation while attaining high sensitivity; however, the multiplexing capability is compromised as not much signal modality can be separated for multiple analytes. Photoluminescence and surface plasmon resonance detection are particularly advantageous for multiplex screening, which require more sophisticated optical excitation and detection systems. To help the reader quickly get a flavor of these designs in advance, the major methods and their limits of detection are listed in Table 1.
Table
Table 1. Comparison of various optical microfluidic immunosensing methods.
Table 1. Comparison of various optical microfluidic immunosensing methods.
Detection MethodsSignal GenerationLabelTime RequiredMicrofluidic Device TypesLOD a LevelRef.
Colormetric detectionVisible light illuminationEnzymatic catalyzed probes for ELISAMinutes to hoursMicrochannelpg/mL[28]
Microchannelpg/mL[29]
Strip-basedng/mL[30]
Disc-basedng/mL[31]
ChemiluminescenceChemical reactionEnzymatic catalyzed probes for CLMinutesOpto-microfluidicpg/mL[32]
Microchannelpg/mL[33]
μPAD bng/mL[34]
Disc-basedng/mL[35]
EWOD cμg/mL[36]
ElectrochemiluminescenceElectrochemical reactionECL probesMinutesμPADng/mL[37]
Microchannelng/mL[38]
PhotoluminescenceOptical excitationPhotoluminescent dyesReal timeMicrochannelpg/mL[39]
Microchannelpg/mL[40]
Microchannelpg/mm2[41]
Microchannelng/mL[42]
EWODμg/mL[43]
Surface plasmon resonanceOptical excitation with evanescent wavesLabel-freeReal timeMicrochannelng/mL[44]
EWODng/mL[45,46]
Notes: a LOD: Limit of detection. b μPADs: Microfluidic paper-based analytical devices. c EWOD: Electrowetting-on-dielectric.

2. Immunosensing with Optical Probes

Detection with an optical probe is the most common method in immunosensing [47]. The binding of an analyte with an immobilized antibody can be detected through an attached optical probe. An optical signal such as colorimetric detection, chemiluminescence (CL), electrochemiluminescence (ECL) and photoluminescence can be measured to detect analytes; this information is the physical basis for optical immunosensing. The optical signals are generated enzymatically or electrochemically or with optical excitation, depending on the choice of probe (See Figure 1).
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Figure 1. Comparison of immunosensing with optical probes. (A) Colorimetric and chemiluminescence (CL) induced by an enzyme; (B) Colorimetric changes by light absorption and scattering of a nanoparticle; (C) Electrochemiluminescence (ECL) from an electrochemically excited probe; (D) Photoluminescence from an optically excited probe.
Figure 1. Comparison of immunosensing with optical probes. (A) Colorimetric and chemiluminescence (CL) induced by an enzyme; (B) Colorimetric changes by light absorption and scattering of a nanoparticle; (C) Electrochemiluminescence (ECL) from an electrochemically excited probe; (D) Photoluminescence from an optically excited probe.
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2.1. Colorimetric Detection

The enzyme-linked immunosorbent assay (ELISA) that first appeared in the 1970s [48] used an enzyme rather than a radioactive label as the reporter. If the analyte is an antigen, an antibody is immobilized on the plate through adsorption. The detection is attained with another antibody conjugated (Figure 1A) with an enzyme that catalyzes the hydrolysis of a chromogenic substrate to render a colorimetric change measurable with a spectrophotometer, or simply visually. Common enzymes used in ELISA are horseradish peroxidase (HRP), alkaline phosphatase (AP) and β-D-galactosidase [28,49]. Washing and rinsing are incorporated after each incubation step to remove excess molecules and to eliminate non-specific binding. Apart from direct detection, ELISA schemes use a second antibody, which is a species-specific antibody that serves to recognize the first antibody. The second antibody is a detection antibody conjugated to the enzyme, as opposed to the first antibody in the direct method. Even though various solid-phase immunosensors are devised, ELISA performed on polystyrene microtiter plates is still the current standard in a medical laboratory; it is a sensitive technique with modest cost. The sensitivity arises from a signal amplification with enzyme-conjugates that allows the detection of minute concentrations of analytes, resulting in an improved detection limit to an ng level for biomarker detection [29,30,50].
The development of microfluidic ELISA has the advantages of saving the volume and duration of incubation of costly reagents. Lee et al. [31] developed a fully automated lab-on-a-disc (LOD) to perform microbead-based ELISA beginning with whole blood. An optical detector is equipped to quantify the colorimetric changes through absorbance. The use of microbeads increases the surface area and thus enhances the reaction efficiency, but microbeads are not easily retained in a suspension state; their transport hence cannot be accurately controlled with a continuous flow through a microfabricated channel. A disc platform provides an easy solution to this problem, in which the liquid transfer is controlled by the spin speed. With this LOD platform, the entire ELISA process from plasma blood separation, incubation of antibody, several steps of washing and final detection was attained automatically within 30 min using a drop of whole blood (150 µL), half the amount of a conventional ELISA. LOD immunosensing is hence an effective design for point-of-care (POC) laboratory settings [51].

2.2. Chemiluminescence (CL)

Chemiluminescence (CL) signifies light emitted in a chemical reaction of a CL molecule [52,53], as opposed to optical excitation as in the case of photoluminescence, in which the emission is induced with absorbed electromagnetic radiation (Figure 2A). The electron of an organic molecule is excited to a higher energy state, with the energy provided by the oxidation reaction rather than absorption of radiation, and then processes following excitation hold both for chemiluminescence and fluorescence or phosphorescence, together known as photoluminescence. This chemical reaction is initiated with enzyme catalysis like ELISA. As CL requires no optical excitation, problems associated with photoluminescence such as scattering of excitation light or source instability are absent, as is also non-selective excitation such as background autophotoluminescence. The detection simply involves collecting sufficient photons from an inexpensive photomultiplier tube; no additional cost for excitation lamp and associated optics is required with a CL-based immunosensor. Another advantage of chemiluminescence is the large linear dynamic range. As it is an emission process, the optical signal is linearly proportional to the concentration; the linear dynamic range extends from a minimum detectable concentration up to six orders of magnitude [52]. For monoplex assay, CL detection with a photomultiplier tube is hence a superior choice for optical immunosensing in terms of sensitivity and cost [54,55,56].
A common chemiluminescent probe is luminol or acridinium ester [57]. The sensitivity might be increased through an accumulation of luminescent products and amplification of the enzymatic transduction signal [58,59]. The chemiluminescent reaction requires peroxide to attain an intermediate state; this intermediate decomposes with simultaneous light emission (Figure 2B). The quantum efficiency of this reaction is small, about 1%. Enzymatic catalysis is a way to accelerate the reaction and it thereby increases the rate of light emission. The enzymatic catalysis notably does not affect the quantum efficiency of the reaction, but simply increases the rate of the reaction cycle so that more light is accumulated within a given interval. Typical enzymes to catalyze the reaction are microperoxidase (MPO), myeloperoxidase and horseradish peroxidase (HRP). The CL immunosensing scheme is analogous to that of ELISA with the detection antibody conjugated to an enzyme. The chemiluminescent probe serves as the substrate to be catalyzed, as shown in Figure 1A.
Chemiluminescence is a promising detection method for immunosensing because of its simplicity, great sensitivity, small cost [34,60] and low-power demands [1,61]. The challenge for it to be implemented in a microfluidic device is the weak light from a small volume, which requires a sensitive optical detector such as a photomultiplier tube and a finely adjusted optical arrangement to acquire the signals. Pires et al. [32] reported a simple inexpensive opto-microfluidic device modified with gold nanoparticles that was equipped with a sensitive and stable organic photodetector. The gold nanoparticles enhanced the CL of the HRP-Luminol complex to attain a sensitivity 2.5 pg/mL, which is 200 times as sensitive as current CL immunosensors. Signal enhancement, more sensitive detectors and improved optical alignment and focusing are important factors to be developed for the incorporation of CL detection in a microfluidic device.
Yao et al. [33] integrated a magnetic microparticle technique and a CL immunoassay to develop an automated microfluidic system for rapid detection of insulin concentration. This system is expected to become a revolutionary platform in the clinical diagnosis of diabetes. Guo et al. [35] integrated a CD-type microfluidic platform and a CL immunoassay to detect a kind of endocrine disruptor, alkylphenolpolyethoxylates (APnEO). Zeng et al. [62] reported a portable prototype of a CL detector on an electrowetting-on-dielectric (EWOD) digital microfluidic platform, which has potential for development as being a highly sensitive, cheap and portable immunodetector.
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Figure 2. Mechanisms of luminescence. (A) Absorption of electromagnetic radiation, photoluminescence and chemiluminescence; (B) chemiluminescence; (C) electrochemiluminescence. Figure 2B is reproduced with permission from the Chemical Connection website [63].
Figure 2. Mechanisms of luminescence. (A) Absorption of electromagnetic radiation, photoluminescence and chemiluminescence; (B) chemiluminescence; (C) electrochemiluminescence. Figure 2B is reproduced with permission from the Chemical Connection website [63].
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2.3. Electrochemiluminescence (ECL)

Electrochemiluminescence (ECL) [64,65,66] pertains to chemiluminescence initiated in an electrochemical reaction. Among inorganic compounds known to be electrochemiluminescent, a widely exploited compound is a ruthenium complex, Ru(bpy)32+. Ru(bpy)32+ first proceeds through a redox reaction to produce Ru(bpy)33+ and Ru(bpy)3+. In the presence of a co-reactant such as Tripropylamine (TPrA), Ru(bpy)33+ converts to Ru(bpy)3+ and yields Ru(bpy)32+ in an excited state that relaxes through photon emission as shown in Figure 2C. The reaction is efficient and can occur in an aqueous buffered solution with impurities and near 23 °C. These properties make it a popular ECL probe for immunosensing.
ECL has several advantages over conventional CL measurements. Because the reactants for ECL are produced by the applied potential, switching the applied potential can control the initiation and the course of a CL reaction. The “on and off” of CL light allows a user to discern the background stray light and include it into a correction. As the reactants are generated near the electrode and allowed to react immediately, the emission is concentrated near the electrode surface, which provides an accurate position for the subsequent optical alignment and focusing for maximum sensitivity. The intermediates of ruthenium complex can be converted back to Ru(bpy)32+ after emitting light and are readily recycled at the electrode. The regenerated Ru(bpy)32+ continuously participates the CL reaction in an excess of Tripropylamine, thus producing sufficient photons for detection. In addition, the recycling of reagent decreases the amount of reagents to be consumed while producing more photons per measurement cycle. ECL detection is more sensitive with more controllability than the conventional CL.
Because of the popularity of ECL immunosensing in a medical laboratory, a portable microfluidic ECL immunosensor is a promising device for POC examination. Wang et al. [37] introduced a battery-triggered microfluidic paper-based multiplex electrochemiluminescent immunosensor. Two ECL labels, Ru(bpy)32+ and carbon nanodots, were used; four markers were detected using only two screen-printed working electrodes. Another modality of ECL detection [38], ECL resonance energy transfer (ECL-RET), in which the energy of ECL donor (Ru(bpy)32+) transfers to that of an ECL acceptor (CdS nanorod), was adopted and proved to be highly sensitive for immunosensing. When a Ru(bpy)32+/antibody was captured with an antigen on the CdS nanorod, the donor’s ECL emission decreased and a new emission signal emerged. Using a CdS nanorod as a spot site to capture the analyte and to initiate ECL-RET created a 64-site immunosensing array, making possible a multiplexed and sensitive ECL immunosensor.

2.4. Photoluminescence

The light emitted in photoluminescence is similar to chemiluminescence, which involves the transfer of electronic energy from the first excited state S1 to the ground state S0 with a photon emission in the visible light region (see Figure 2A). The difference lies in that photoluminescence is generated from an optical excitation. Through the nature of optical excitation, several problems must be solved to attain great sensitivity, which includes the separation of excitation and detection, the filtering of scattered light, background photoluminescence from optical components, cuvettes and reagents, and photoluminescent quenching [67]. As the quantum efficiency of photoluminescent emission is generally sufficiently large to produce enough photons for detection, it can serve directly as a probe without addition of an enzyme as in the case of CL [42,68]; this effect makes it suitable for imaging use and multiplex sensing [69,70,71]. There is also a large selection of photoluminescent probes, such as membrane-bound, calcium-sensitive, potentiometric photoluminescent dyes etc., for varied uses. Besides, a photoluminescent measurement can be undertaken in various modalities such as lifetime and photoluminescent resonant-energy-transfer (PRET) measurement [72,73,74]. This versatile technique is adaptable to various situations.
Through the wide choices of photoluminescent probes and simultaneous optical excitation, photoluminescent detection is an ideal technique for multiplexed and high-throughput immunosensing, such as antibody microarrays. The photoluminescent intensity can be enhanced with metal nanostructures [39] and photonic crystals [40] fabricated on the sensor. Li et al. [41] reported a nanostructured aluminium-oxide (NAO)-based photoluminescence platform that enhanced a photoluminescent signal up to 100 fold and promoted the photoluminescent-based immunosensing with high throughput. Protein A and fluorophore-labeled immunoglobulin G (IgG) were used to demonstrate that the IgG of programmable concentrations was confirmed with the photoluminescent images on the microfluidic device. The sensitivity of the device as a concentration to detect IgG can be as small as 20 pg/mm2 with a photoluminescent microscope. This photoluminescence-enhancing technology provides a powerful tool for photoluminescent-based immunosensing.

3. Label-Free Immunosensing

3.1. Change of Refractive Index

The optical detection methods mentioned above require either enzymatic or photoluminescent probes labeled on the detection antibody. Not only does the labeling impose additional cost and time, but also the structural modification might interfere with the binding of an antibody to an analyte. A label-free immunosensor is undoubtedly more economical and allows a detection in an unperturbed state. The label-free optical immunosensing typically exploits the local changes of refractive index (RI) induced with an antibody-antigen binding event [75,76]. The refractive indices of an aqueous solution and a protein are 1.33 and 1.5, respectively; the binding of an antibody on the sensor surface causes the local refractive index to shift from 1.33 to an effective refractive index in a range from 1.33 to 1.5 depending on the density of the antibodies bound on the surface. According to the Fresnel equation [77], the phase and amplitude of a reflected and transmitted beam at the interface depend on the refractive index and the thickness of each underlying layer. RI changes thus affect various optical phenomena such as reflection and interference at the interface, which can then serve as approaches to probe RI changes. Examples of these are ellipsometric [78] and interferometer-based immunosensors [79,80]. Another case is the existence of a particular resonant mode, which condition is sensitive to the interfacial RI changes. A surface-plasmon-resonance (SPR) immunosensor is a representative example and is examined in detail below. Other examples of resonance-based sensing include a ring resonator, resonant mirrors and metal-clad waveguide. Among all label-free immunosensors, an SPR-based biosensor has been commercialized and gained popularity in the biomedical research community. Although a label-free approach has labor-saving benefits, an adsorption of molecules other than the target antibodies cannot be discerned; the responses associated with non-binding events are the major sources of error for immunosensing of this type. For this reason, sample preprocessing and experimental controls are crucial steps in label-free immunosensing.

3.2. Surface-Plasmon-Resonance (SPR) Immunosensor

A surface plasmon (SP) is an electromagnetic resonant mode existing at a metal-dielectric interface [81,82,83]; this surface mode is closely related to the refractive indices of the two adjacent media. It carries a mathematic form similar to that of the evanescent wave; the generated electric field decays exponentially away from the interface (Figure 3). As a result, the sensing of a surface-plasmon resonance (SPR) is localized at the interface, excluding other reactions occurring in the bulk region. The concomitant evanescent wave with total reflection is typically employed to excite SP; this excitation requires the match of a wave vector (k) at a designated wavelength (λ). The wave vector of the evanescent wave can be modulated on adjusting the incident angle of the beam; when k matches that of the SP, a resonance occurs and light is absorbed and transformed to an SP. A standard SPR curve appears in Figure 3. The SPR sensor uses glass as a substrate and a thin layer of gold, typically 50 nm, is coated thereon. The SP lies at the gold-medium interface, and thus the sensing surface; upon the binding of antibodies, the waveform of SP is perturbed and the resonance curves then shift in response to the changes in SP. The reflectance change taken at a fixed angle can be an indicator of binding, proportional to the amount of analyte. Besides the planar SPR sensor, metallic nanoparticles exhibit SPR effects and can serve as immunosensors. The SP present at a metal-ambient interface absorbs light at a specific wavelength; the resonance frequency depends on the shape of the nanoparticle and the ambient refractive index [84]. The general design immobilizes an antibody on a gold nanoparticle; the binding of antibodies and an antigen initiates the aggregation of nanoparticles, which exhibit a surface-plasmon resonance at another frequency [85].
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Figure 3. A prism-based SPR sensor with a gold film as sensing layer. The light is absorbed by surface plasmons at a particular resonant angle.
Figure 3. A prism-based SPR sensor with a gold film as sensing layer. The light is absorbed by surface plasmons at a particular resonant angle.
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A planar SPR immunosensor can be expanded to an imaging mode (SPRI), which takes the reflection intensity as an indicator of binding and binding quantities. This simple setup has a capability of carrying highly sensitive immunosensing and high-throughput screening. It saves the labor of labeling an antibody with a photoluminescent probe; the antibodies can be regenerated for multiple use. A kinetic binding curve can be acquired in real time on an SPR immunosensor, which can be used to investigate the specific binding between an antibody and an antigen. Although SPRI is capable of incorporating multiple antibodies in parallel for detection, current commercial instruments are limited to a single analyte stream on a multiplexed sensor surface. Integration with microfluidic devices fully realizes the potential of SPRI in multiplexed and multi-analyte screening. Ouellet et al. [44] developed an integrated microfluidic array consisting of 264 addressable chambers with each isolated by microvalves and then connected by a serial network for simultaneous measurement of up to six analytes. Besides planar SPR sensors, colorimetric change from metallic nanoparticles is an exhibition of SPR effects; this mechanism enables the design of a particle-based SPR sensor. Gold nanoparticles have long been used in a lateral flow device for rapid and disposable immunosensing [86]; the most popular example is a pregnancy test strip. Recent microfluidic designs further implement gold-nanoparticle sensing on newer materials such as cheap polyester cards [87] and chromatographic papers [88].

4. Microfluidics

Microfluidics offers an automatic way to dispense, to merge and to mix small volumes of samples for immunosensing [89,90]. The future development of immunosensing in a medical laboratory aims at rapid, sensitive and multiplex tests with a lancet blood sample. This condition requires sensitive optical detection with appropriate microfluidics integrated on the sensor. One clear goal of microfluidic immunosensing is to perform POC screening with the least support of other equipment. Power-free microfluidics is a promising tool for this purpose and has gained much attention from both academia and industry. Interesting designs of immunosensors using power-free and passive microfluidics, such as paper-based microfluidics and lateral flow devices, have been created, and are introduced in Section 4.1, following. For more accurate manipulation of a liquid sample, as required for a sensitive analysis in a medical laboratory, active and well controlled microfluidics are preferable. Popular designs in this category include Polydimethylsiloxane (PDMS) microchannels with micropneumatic or electrical pumping, compact disk driven by centrifugal force, and digital microfluidic techniques such as electrowetting-on-dielectric (EWOD). The EWOD technique especially performs well in multiple liquid processing, which includes dividing, separating, and transporting a tiny droplet for multiple detection with a simple setup, easily integrated with other optical components. Recent reports of the use of EWOD to manipulate an analyte in optical immunosensing are reviewed in the last Section 4.2.

4.1. Paper-Based Microfluidics (μPADs)

Paper, composed mainly of cellulose fiber, wicks an aqueous liquid and transports a liquid passively. It has long been used in chromatography to separate and to identify mixtures of small molecules, amino acids, proteins and antibodies [91]. Paper can be chemically modified with various functional groups that can covalently bind to proteins or DNA, or small molecules. Hydrophobic materials such as wax can be infused into sheets of paper as a barrier to create hydrophilic channels of desired patterns. The pattern and thickness define the dimension of the microfluidic channels on paper. The capillary property of cellulose fibers allows fluids to wick along the channels; there are some factors affecting the rate of wicking, which include the dimensions of the channel, the characteristics of the paper and the ambient temperature and humidity. Besides delivering flow through patterned microfluidic channels, the cellulose matrix of paper can be a solid support for liquid processing, such as filtering samples or performing chromatographic separations. Paper-based microchannels have several advantages over conventional PDMS microchannels as they are cheaper and easier to be fabricated. Paper-based devices are also biodegradable and can be mass-produced to meet the large-scale demand of POC screening.
Microfluidic paper-based analytical devices (μPADs) constitute POC diagnostic devices of a new class specifically designed for use in developing countries. A first paper-based ELISA was devised by Cheng et al. [92]; 96-well microzones, resembling a 96-well ELISA plate, were fabricated on paper using photolithographic processing; the hydrophobic photoresist layer confined the liquid reaction to the microzone. The main advantage of paper ELISA over a conventional plastic well is the saving of cost and time. In conventional methods, larger volumes of analytes and reagents (20–200 μL) are required; incubation and blocking duration for each step is long (≥1 h per step) because the analyte requires time to diffuse to the surface of the well. In comparison with the plastic well, paper offers a capillary support to deliver the analyte, thus decreasing the reaction duration. Each microzone requires only 3 µL reagent; the test is completed within an hour, as opposed to 2 h in conventional methods. The colorimetric result is measurable with a desktop scanner (cost $100), rather than an expensive microtitre plate reader. One disadvantage of paper-based ELISA is the decreased sensitivity, which is 54 fmol/zone, one tenth of that obtained with an ELISA plate. This effect is possibly due to the decreased period of antibody-antigen incubation (lower loading) or non-specific interactions between antibodies and cellulose fibers (Figure 4).
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Figure 4. A 96-microzone paper-based ELISA [92]. Reproduction of the figures is made with permission of Wiley.
Figure 4. A 96-microzone paper-based ELISA [92]. Reproduction of the figures is made with permission of Wiley.
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Paper-based ELISA expands the popular lateral-flow immunosensing to a two-dimensional multiplexed microfluidic immunosensing system. 3D paper-based devices have even more powerful capability, in which μL volumes of samples can be injected from a single inlet point into arrays of detection zones numbering up to thousands [93]. The fluids are distributed vertically and laterally; one stream travels across another without mixing. The 3D paper based microfluidic channels are created by stacking alternating layers of paper and water-impermeable double-sided adhesive tape. The stacking is patterned to allow the liquid flow within the layers of paper, but this design allows only colorimetric detection on the surface layers (top and bottom). Liu et al. [94] devised a 3D paper microfluidic device assembled with origami methods (see Figure 5). A piece of chromatography paper can be patterned with channels, reservoirs and frames in a single lithographic step; the paper is then folded along the frames in a sequence, which ensures that channels and reservoirs are aligned to build the 3D connection. Solutions are injected into four holes on the top. The paper is eventually unfolded so that all reservoirs are accessible for colorimetric analysis. Not only did Liu et al. propose a novel origami 3D design but also it is the first 3D paper-based immunosensor to adopt photoluminescent sensing, which detection typically offers greater sensitivity and smaller detection limits than simple colorimetric measurements. The photoluminescent detection is based on a dye, epicocconone, which exhibits enhanced photoluminescence in the presence of the analyte protein BSA (bovine serum albumin). Only 1.0 μL of a buffered epicocconone solution is required for the spotting on a detection reservoir; then the analyte BSA is injected from the inlet and reaches the reservoir to react. The layer is then scanned with a photoluminescent imager with resolution 100 μm within 1 min.
The primary detection methods for a paper-based immunosensor are still the qualitative colorimetric methods based on visual comparison with the naked eye or camera telephone. Quantitative analysis is important when the level of an analyte is clinically significant. Other methods such as chemiluminescence provide more precise and sensitive detection and concurrently retain simplicity, portability and modest cost of a paper device. Ge et al. [95] developed a paper-based ECL immunosensor on screen-printing carbon electrodes directly on paper; reservoir patterns were first created with wax printing. Carbon working electrodes were then screen-printed on a piece of square paper; another paper was printed with Ag/AgCl reference and carbon counter electrodes. The two papers were then aligned and stacked to form the reservoirs of the electrochemical cells, in total eight electrodes. A panel of biomarkers was screened with this design. With the aid of a chemiluminescent detector, eight working electrodes were sequentially triggered to produce ECL and detected. The linear dynamic range is 0.5–100 ng/mL. This device provides fresh opportunities for sensitive and precise paper-based immunosensors.
The possibility of label-free detection on a paper-based device can be envisaged from the work of Tseng et al. [96], involving a plasmonic sensor fabricated on paper using photothermal effects. Chemically synthesized gold nanoparticles have long been used as a sensing platform. This paper-based plasmonic gold-nanoparticle sensor was fabricated with an alternative method: a gold film was first deposited on a paper and laser-induced annealing was performed on the surface; the metal film absorbed the photon energy and converted it into thermal energy, which induced a local formation of nanoparticles. Using this nanostructure as a sensing surface with flow facilitated by the paper offers the possibility of a paper-based plasmonic immunosensor.
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Figure 5. Paper-based microfluidics [94]. (A) A 3D paper-based immunosensor using an origami method: 1. Photolithographically patterned channels on chromatography paper; 2. Top layer of the device; 3. Bottom layer of the device; 4. Aluminium housing; 5. Colored solutions were injected into designated channels. (B) Photoluminescent detection on the paper surface. Reproduction of the figures is made with permission of American Chemical Society.
Figure 5. Paper-based microfluidics [94]. (A) A 3D paper-based immunosensor using an origami method: 1. Photolithographically patterned channels on chromatography paper; 2. Top layer of the device; 3. Bottom layer of the device; 4. Aluminium housing; 5. Colored solutions were injected into designated channels. (B) Photoluminescent detection on the paper surface. Reproduction of the figures is made with permission of American Chemical Society.
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4.2. Electrowetting-on-Dielectric (EWOD) Digital Microfluidic Devices

Digital microfluidics (DMF) is an emerging droplet-manipulation technique that depends on electric forces, such as electrowetting-on-dielectric (EWOD) or dielectrophoresis (DEP) [97,98]. These forces are caused by the potential difference between electrodes from an electrode array, which are coated with a dielectric and a hydrophobic insulator layer [99,100,101,102] on indium tin oxide (InSnO) glass or printed circuit boards (PCB). Electrowetting-on-dielectric (EWOD) digital microfluidic devices have been endorsed in many reports as a powerful platform for biological and biomedical research, including proteomic analysis [103,104,105,106], single-cell analysis [107,108,109,110], immunoassays [111], and clinical diagnostics [112].
On a DMF device, the small droplets can be individually operated to mix varied reagents, to incubate a reaction mixture, to split a droplet, to wash the modified surfaces or magnetic beads for immunosensing and finally to discard to a reservoir. Because each droplet is controlled with EWOD or DEP forces, complicated channels and external elements (such as pumps or valves or mechanical mixers) are unessential [113]. The comparative advantages of DMF over channel-based microfluidic devices include a simple device configuration, ease of modular interfaces for another integrating system, less requisite total sample volume for assay, less reagent consumption and a high potential for automation [109]. Much attention has thus been paid to the biological and biomedical application of DMF. Here we focus on immunosensors using DMF.
The immunosensing depends on a specific antibody-antigen interaction. In this process, multiple reagents with an antibody, a secondary antibody (conjugated with a tracer, such as HRP, photoluminescent dye or microparticles) and substrates (colorimetric or optical signal) are incubated, respectively; thorough washing with a washing buffer is essential. The DMF device has the advantages stated above to integrate the complicated processes on a device. The multiple droplets with varied reagents for immunosensing might be manipulated with EWOD or DEP forces through designed electrode arrays on the DMF device. The electrodes are coated with a hydrophobic insulator layer, such as Teflon-AF (amorphous fluoroplastics), for smooth operation of a droplet. Since direct immobilization of an antibody or antigen on a Teflon surface is difficult, immunosensing on a DMF device requires an additional solid-phase immobilization, such as magnetic beads [43,114] or surface modification to remove the surface hydrophobicity [115]. Sista et al. [43,114] used magnetic beads modified with antibodies to detect human insulin, interleukin (IL)-6 and troponin I from whole-blood samples on a DMF device. Vergauwe et al. [116] used magnetic beads to detect the presence of human IgE; the sensitivity of the device to detect IgE is at concentrations of about 150 nM. In another example, the device surface was directly modified; the antibodies were captured onto the hydrophobic surface of a DMF device. Miller et al. [115] introduced a surface-based immunoassay using DMF to detect the model analyte human IgG. Ng et al. [117] introduced novel magnetic particle-based immunosensing on a DMF device to detect thyroid stimulating hormone (TSH) and 17β-estradiol (E2). These powerful techniques have a great potential for the quantitative analysis of biomarks for diagnosis. The enzymatic chemiluminescent reaction was typically integrated on the DMF device [43,114,117] for optical detection. The photoluminescently labeled probes [115,116] and electrochemical detection [118] were also used. A label-free SPR technique was integrated on DMF devices [45,46]; Malic et al. revealed a dynamically configurable microarray SPR sensing on a DMF platform for real-time DNA hybridization. The application of SPR on a DMF platform might achieve a high-throughput screening process.
DMF has further integrated other techniques to perform immunoassays for sundry biomarkers. These DMF devices have great advantages to implement rapid and inexpensive instruments for diagnosis. Shamsi et al. [119] introduced a novel DMF device for magnetic microparticle-based immunosensing with a simple colorimetric detection to detect thyroid stimulating hormone (TSH); the sensitivity of this platform is 2.4 μIU/mL for the tested clinical applications. Rackus et al. [36] reported the first integration of nanostructured microelectrodes (NME) with a DMF platform to execute an electrochemical immunosensing for rubella virus (see Figure 6A); the sensitivity of the detection of this immunosensing is 0.07 IU/mL (5.7 μg/mL). Tsaloglou et al. [120] described a heterogeneous immunoassay with magnetic beads on a DMF platform to detect the cardiac marker Troponin I (cTnI); the sensitivity of the detection of this immunosensing is 2.0 ng/mL. Zeng et al. [62] reported the first experiment to integrate a portable prototype of a CL detector on a DMF platform (see Figure 6B); they manipulated the ball-like droplet to focus better the enzymatic chemiluminescence and thus enhanced the detection sensitivity of the optical signal. The detection limit was 0.01 mM H2O2. These integrated platforms shed light on highly sensitive CL detection for portable diagnostic devices [36,121,122].
Paper-based devices are mass-producible and disposable; they are suitable for rapid, single use and point-of-care screening. As opposed to paper-based microfluidic immunosensors, the EWOD-based device has more precise control of flow volume and can easily draw multiple droplets from the reservoir for multiplex sensing without elaborative reconstruction of sensor and system. DMF devices employing EWOD have more potential to be developed as desktop immunosensors with high sensitivity and very low sample volume. Compared to other microfluidic platforms, immunosensing using EWOD has not been fully explored yet and the currently reported LOD levels of EOWD-based immunosensors are not satisfactory (μg/mL level, Table 1). However, future development will incorporate other highly sensitive optical detection, such as ECL, in the EWOD- based system. As EWOD-based system has the advantages of simpler device configuration, easy integrating system and high potential for automation, it holds promise for future highly sensitive microfluidic immunosensors.
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Figure 6. DMF further integrated another platform to perform immunoassays as described in: (A–C) Rackus et al. [36]; (D,E) Zeng et al. [62]. (A) DMF device with integrated nanostructured microelectrodes; (B) Schematic of a cross section of a DMF device; (C) Electrochemical measurements of the DMF device; (D) Schematic of the DMF chemiluminescent detector; (E) Mixing process on the DMF device (1–5); chemiluminescent photo (6) and schematic diagram (7). Reproduction of the figures is made with permission of Royal Society of Chemistry.
Figure 6. DMF further integrated another platform to perform immunoassays as described in: (A–C) Rackus et al. [36]; (D,E) Zeng et al. [62]. (A) DMF device with integrated nanostructured microelectrodes; (B) Schematic of a cross section of a DMF device; (C) Electrochemical measurements of the DMF device; (D) Schematic of the DMF chemiluminescent detector; (E) Mixing process on the DMF device (1–5); chemiluminescent photo (6) and schematic diagram (7). Reproduction of the figures is made with permission of Royal Society of Chemistry.
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5. Conclusions

This review presents an overview of recent advances in opto-microfluidic immunosensing. Optical detection has long been the most popular detection technique for immunosensing. The advantages of the microfluidic immunosensor devices include decreased requirement of reagents and samples, small power consumption, small size, compact system, modest cost and a high potential for automation. The optical immunosensing process might be miniaturized and integrated with microfluidics to make compact lab-on-a-chip immunosensors. We believe that these integrated platforms of various opto-microfluidic immunosensor designs will fulfill future expectations for portable point-of-care immunosensing diagnostics.

Acknowledgments

Jie-Long He thanks Ministry of Science and Technology, Taiwan for providing a postdoctoral research scholarship (MOST 104-2218-E-002-025-MY3). Da-Shin Wang thanks Ministry of Science and Technology, Taiwan for providing a post-doctoral fellowship (MOST 104-2628-E-002-007-MY3).

Author Contributions

Shih-Kang Fan conceived and designed the structure of the review article; Jie-Long He and Da-Shin Wang collected the references and wrote the paper; they contributed equally to this work.

Conflicts of Interest

The specified sponsors had no role in the design of the study, in the collection or analyses or interpretation of data, in the writing of the manuscript, and in the decision to publish the results.

References

  1. Rongen, H.A.; Hoetelmans, R.M.; Bult, A.; van Bennekom, W.P. Chemiluminescence and immunoassays. J. Pharm. Biomed. Anal. 1994, 12, 433–462. [Google Scholar] [CrossRef]
  2. Singh, P. Dendrimers and their applications in immunoassays and clinical diagnostics. Biotechnol. Appl. Biochem. 2007, 48, 1–9. [Google Scholar] [CrossRef] [PubMed]
  3. Dhawan, S. Signal amplification systems in immunoassays: Implications for clinical diagnostics. Expert Rev. Mol. Diagn. 2006, 6, 749–760. [Google Scholar] [CrossRef] [PubMed]
  4. Wheeler, M.J. Immunoassay techniques. Methods Mol. Biol. 2006, 324, 1–23. [Google Scholar] [PubMed]
  5. Afeyan, N.B.; Gordon, N.F.; Regnier, F.E. Automated real-time immunoassay of biomolecules. Nature 1992, 358, 603–604. [Google Scholar] [CrossRef] [PubMed]
  6. Chen, Y.T.; Juang, R.H.; He, J.L.; Chu, W.Y.; Wang, C.H. Detection of H6 influenza antibody by blocking enzyme-linked immunosorbent assay. Vet. Microbiol. 2010, 142, 205–210. [Google Scholar] [CrossRef] [PubMed]
  7. He, J.L.; Hsieh, M.S.; Chiu, Y.C.; Juang, R.H.; Wang, C.H. Preparation of monoclonal antibodies against poor immunogenic avian influenza virus proteins. J. Immunol. Methods 2013, 387, 43–50. [Google Scholar] [CrossRef] [PubMed]
  8. He, J.L.; Hsieh, M.S.; Juang, R.H.; Wang, C.H. A monoclonal antibody recognizes a highly conserved neutralizing epitope on hemagglutinin of H6N1 avian influenza virus. Vet. Microbiol. 2014, 174, 333–341. [Google Scholar] [CrossRef] [PubMed]
  9. Nagatani, N.; Yamanaka, K.; Ushijima, H.; Koketsu, R.; Sasaki, T.; Ikuta, K.; Saito, M.; Miyahara, T.; Tamiya, E. Detection of influenza virus using a lateral flow immunoassay for amplified DNA by a microfluidic RT-PCR chip. Analyst 2012, 137, 3422–3426. [Google Scholar] [CrossRef] [PubMed]
  10. MacCallum, R.M.; Martin, A.C.; Thornton, J.M. Antibody-antigen interactions: Contact analysis and binding site topography. J. Mol. Biol. 1996, 262, 732–745. [Google Scholar] [CrossRef] [PubMed]
  11. Porstmann, T.; Kiessig, S.T. Enzyme immunoassay techniques an overview. J. Immunol. Methods 1992, 150, 5–21. [Google Scholar] [CrossRef]
  12. Bange, A.; Halsall, H.B.; Heineman, W.R. Microfluidic immunosensor systems. Biosens. Bioelectron. 2005, 20, 2488–2503. [Google Scholar] [CrossRef] [PubMed]
  13. Choi, S.; Goryll, M.; Sin, L.Y.M.; Wong, P.K.; Chae, J. Microfluidic-based biosensors toward point-of-care detection of nucleic acids and proteins. Microfluid. Nanofluid. 2011, 10, 231–247. [Google Scholar] [CrossRef]
  14. Henares, T.G.; Mizutani, F.; Hisamoto, H. Current development in microfluidic immunosensing chip. Anal. Chim. Acta 2008, 611, 17–30. [Google Scholar] [CrossRef] [PubMed]
  15. Lin, C.-C.; Wang, J.-H.; Wu, H.-W.; Lee, G.-B. Microfluidic immunoassays. J. Lab. Autom. 2010, 15, 253–274. [Google Scholar] [CrossRef]
  16. Hey, T.; Fiedler, E.; Rudolph, R.; Fiedler, M. Artificial, non-antibody binding proteins for pharmaceutical and industrial applications. Trends Biotechnol. 2005, 23, 514–522. [Google Scholar] [CrossRef] [PubMed]
  17. Jayasena, S.D. Aptamers: An emerging class of molecules that rival antibodies in diagnostics. Clin. Chem. 1999, 45, 1628–1650. [Google Scholar] [PubMed]
  18. Makaraviciute, A.; Ramanaviciene, A. Site-directed antibody immobilization techniques for immunosensors. Biosens. Bioelectron. 2013, 50, 460–471. [Google Scholar] [CrossRef] [PubMed]
  19. Peluso, P.; Wilson, D.S.; Do, D.; Tran, H.; Venkatasubbaiah, M.; Quincy, D.; Heidecker, B.; Poindexter, K.; Tolani, N.; Phelan, M.; et al. Optimizing antibody immobilization strategies for the construction of protein microarrays. Anal. Biochem. 2003, 312, 113–124. [Google Scholar] [CrossRef]
  20. Vashist, S.K.; Dixit, C.K.; MacCraith, B.D.; O’Kennedy, R. Effect of antibody immobilization strategies on the analytical performance of a surface plasmon resonance-based immunoassay. Analyst 2011, 136, 4431–4436. [Google Scholar] [CrossRef] [PubMed]
  21. Corry, B.; Uilk, J.; Crawley, C. Probing direct binding affinity in electrochemical antibody-based sensors. Anal. Chim. Acta 2003, 496, 103–116. [Google Scholar] [CrossRef]
  22. Wang, J. Electrochemical biosensors: Towards point-of-care cancer diagnostics. Biosens. Bioelectron. 2006, 21, 1887–1892. [Google Scholar] [CrossRef] [PubMed]
  23. Zang, D.; Ge, L.; Yan, M.; Song, X.; Yu, J. Electrochemical immunoassay on a 3D microfluidic paper-based device. Chem. Commun. 2012, 48, 4683–4685. [Google Scholar] [CrossRef] [PubMed]
  24. Fodey, T.L.; Thompson, C.S.; Traynor, I.M.; Haughey, S.A.; Kennedy, D.G.; Crooks, S.R. Development of an optical biosensor based immunoassay to screen infant formula milk samples for adulteration with melamine. Anal. Chem. 2011, 83, 5012–5016. [Google Scholar] [CrossRef] [PubMed]
  25. Mauriz, E.; Calle, A.; Montoya, A.; Lechuga, L.M. Determination of environmental organic pollutants with a portable optical immunosensor. Talanta 2006, 69, 359–364. [Google Scholar] [CrossRef] [PubMed]
  26. Xu, S. Electromechanical biosensors for pathogen detection. Microchim. Acta 2012, 178, 245–260. [Google Scholar] [CrossRef]
  27. Mecklenburg, M.; Lindbladh, C.; Li, H.; Mosbach, K.; Danielsson, B. Enzymatic amplification of a flow-injected thermometric enzyme-linked immunoassay for human insulin. Anal. Biochem. 1993, 212, 388–393. [Google Scholar] [CrossRef] [PubMed]
  28. Novo, P.; Prazeres, D.M.; Chu, V.; Conde, J.P. Microspot-based ELISA in microfluidics: Chemiluminescence and colorimetry detection using integrated thin-film hydrogenated amorphous silicon photodiodes. Lab Chip 2011, 11, 4063–4071. [Google Scholar] [CrossRef] [PubMed]
  29. Yu, L.; Li, C.M.; Liu, Y.; Gao, J.; Wang, W.; Gan, Y. Flow-through functionalized PDMS microfluidic channels with dextran derivative for ELISAs. Lab Chip 2009, 9, 1243–1247. [Google Scholar] [CrossRef] [PubMed]
  30. Xu, H.; Mao, X.; Zeng, Q.; Wang, S.; Kawde, A.N.; Liu, G. Aptamer-functionalized gold nanoparticles as probes in a dry-reagent strip biosensor for protein analysis. Anal. Chem. 2009, 81, 669–675. [Google Scholar] [CrossRef] [PubMed]
  31. Lee, B.S.; Lee, J.N.; Park, J.M.; Lee, J.G.; Kim, S.; Cho, Y.K.; Ko, C. A fully automated immunoassay from whole blood on a disc. Lab Chip 2009, 9, 1548–1555. [Google Scholar] [CrossRef] [PubMed]
  32. Pires, N.M.M.; Dong, T. Ultrasensitive opto-microfluidic immunosensor integrating gold nanoparticle-enhanced chemiluminescence and highly stable organic photodetector. J. Biomed. Opt. 2014, 19, 030504. [Google Scholar] [CrossRef] [PubMed]
  33. Yao, P.; Liu, Z.; Tung, S.; Dong, Z.; Liu, L. Fully automated quantification of insulin concentration using a microfluidic-based chemiluminescence immunoassay. J. Lab. Autom. 2015. [Google Scholar] [CrossRef] [PubMed]
  34. Ge, L.; Wang, S.; Song, X.; Ge, S.; Yu, J. 3D origami-based multifunction-integrated immunodevice: Low-cost and multiplexed sandwich chemiluminescence immunoassay on microfluidic paper-based analytical device. Lab Chip 2012, 12, 3150–3158. [Google Scholar] [CrossRef] [PubMed]
  35. Guo, S.; Ishimatsu, R.; Nakano, K.; Imato, T. Automated chemiluminescence immunoassay for a nonionic surfactant using a recycled spinning-pausing controlled washing procedure on a compact disc-type microfluidic platform. Talanta 2015, 133, 100–106. [Google Scholar] [CrossRef] [PubMed]
  36. Rackus, D.G.; Dryden, M.D.; Lamanna, J.; Zaragoza, A.; Lam, B.; Kelley, S.O.; Wheeler, A.R. A digital microfluidic device with integrated nanostructured microelectrodes for electrochemical immunoassays. Lab Chip 2015, 15, 3776–3784. [Google Scholar] [CrossRef] [PubMed]
  37. Wang, S.; Ge, L.; Zhang, Y.; Song, X.; Li, N.; Ge, S.; Yu, J. Battery-triggered microfluidic paper-based multiplex electrochemiluminescence immunodevice based on potential-resolution strategy. Lab Chip 2012, 12, 4489–4498. [Google Scholar] [CrossRef] [PubMed]
  38. Wu, M.S.; Shi, H.W.; He, L.J.; Xu, J.J.; Chen, H.Y. Microchip device with 64-site electrode array for multiplexed immunoassay of cell surface antigens based on electrochemiluminescence resonance energy transfer. Anal. Chem. 2012, 84, 4207–4213. [Google Scholar] [CrossRef] [PubMed]
  39. Sang, C.H.; Chou, S.J.; Pan, F.M.; Sheu, J.T. Fluorescence enhancement and multiple protein detection in ZnO nanostructure microfluidic devices. Biosens. Bioelectron. 2016, 75, 285–292. [Google Scholar] [CrossRef] [PubMed]
  40. Tan, Y.F.; Tang, T.T.; Xu, H.S.; Zhu, C.Q.; Cunningham, B.T. High sensitivity automated multiplexed immunoassays using photonic crystal enhanced fluorescence microfluidic system. Biosens. Bioelectron. 2015, 73, 32–40. [Google Scholar] [CrossRef] [PubMed]
  41. Li, X.; Yin, H.C.; Que, L. A nanostructured aluminum oxide-based microfluidic device for enhancing immunoassay’s fluorescence and detection sensitivity. Biomed. Microdevices 2014, 16, 771–777. [Google Scholar] [CrossRef] [PubMed]
  42. Rowe, C.A.; Scruggs, S.B.; Feldstein, M.J.; Golden, J.P.; Ligler, F.S. An array immunosensor for simultaneous detection of clinical analytes. Anal. Chem. 1999, 71, 433–439. [Google Scholar] [CrossRef] [PubMed]
  43. Sista, R.S.; Hua, Z.; Thwar, P.; Sudarsan, A.; Srinivasan, V.; Eckhardt, A.E.; Pollack, M.G.; Pamula, V.K. Development of a digital microfluidic platform for point of care testing. Lab Chip 2008, 8, 2091–2104. [Google Scholar] [CrossRef] [PubMed]
  44. Ouellet, E.; Lausted, C.; Lin, T.; Yang, C.W.T.; Hood, L.; Lagally, E.T. Parallel microfluidic surface plasmon resonance imaging arrays. Lab Chip 2010, 10, 581–588. [Google Scholar] [CrossRef] [PubMed]
  45. Malic, L.; Veres, T.; Tabrizian, M. Biochip functionalization using electrowetting-on-dielectric digital microfluidics for surface plasmon resonance imaging detection of DNA hybridization. Biosens. Bioelectron. 2009, 24, 2218–2224. [Google Scholar] [CrossRef] [PubMed]
  46. Malic, L.; Veres, T.; Tabrizian, M. Two-dimensional droplet-based surface plasmon resonance imaging using electrowetting-on-dielectric microfluidics. Lab Chip 2009, 9, 473–475. [Google Scholar] [CrossRef] [PubMed]
  47. Kuswandi, B.; Nuriman; Huskens, J.; Verboom, W. Optical sensing systems for microfluidic devices: A review. Anal. Chim. Acta 2007, 601, 141–155. [Google Scholar] [CrossRef] [PubMed]
  48. Engvall, E.; Jonsson, K.; Perlmann, P. Enzyme-linked immunosorbent assay. II. Quantitative assay of protein antigen, immunoglobulin G, by means of enzyme-labelled antigen and antibody-coated tubes. Biochim. Biophys. Acta Protein Struct. 1971, 251, 427–434. [Google Scholar] [CrossRef]
  49. Lequin, R.M. Enzyme immunoassay (EIA)/enzyme-linked immunosorbent assay (ELISA). Clin. Chem. 2005, 51, 2415–2418. [Google Scholar] [CrossRef] [PubMed]
  50. Schroeder, H.; Adler, M.; Gerigk, K.; Muller-Chorus, B.; Gotz, F.; Niemeyer, C.M. User configurable microfluidic device for multiplexed immunoassays based on DNA-directed assembly. Anal. Chem. 2009, 81, 1275–1279. [Google Scholar] [CrossRef] [PubMed]
  51. Madou, M.; Zoval, J.; Jia, G.; Kido, H.; Kim, J.; Kim, N. Lab on a CD. Annu. Rev. Biomed. Eng. 2006, 8, 601–628. [Google Scholar] [CrossRef] [PubMed]
  52. Dodeigne, C.; Thunus, L.; Lejeune, R. Chemiluminescence as diagnostic tool. A review. Talanta 2000, 51, 415–439. [Google Scholar] [CrossRef]
  53. Zhao, L.X.; Sun, L.; Chu, X.G. Chemiluminescence immunoassay. Trends Anal. Chem. 2009, 28, 404–415. [Google Scholar] [CrossRef]
  54. Fan, A.; Cao, Z.; Li, H.; Kai, M.; Lu, J. Chemiluminescence platforms in immunoassay and DNA analyses. Anal. Sci. 2009, 25, 587–597. [Google Scholar] [CrossRef] [PubMed]
  55. Yakovleva, J.; Davidsson, R.; Lobanova, A.; Bengtsson, M.; Eremin, S.; Laurell, T.; Emneus, J. Microfluidic enzyme immunoassay using silicon microchip with immobilized antibodies and chemiluminescence detection. Anal. Chem. 2002, 74, 2994–3004. [Google Scholar] [CrossRef] [PubMed]
  56. Baeyens, W.R.; Schulman, S.G.; Calokerinos, A.C.; Zhao, Y.; Garcia Campana, A.M.; Nakashima, K.; de Keukeleire, D. Chemiluminescence-based detection: Principles and analytical applications in flowing streams and in immunoassays. J. Pharm. Biomed. Anal. 1998, 17, 941–953. [Google Scholar] [CrossRef]
  57. Radi, R.; Cosgrove, T.P.; Beckman, J.S.; Freeman, B.A. Peroxynitrite-induced luminol chemiluminescence. Biochem. J. 1993, 290, 51–57. [Google Scholar] [CrossRef] [PubMed]
  58. Yang, Z.; Liu, H.; Zong, C.; Yan, F.; Ju, H. Automated support-resolution strategy for a one-way chemiluminescent multiplex immunoassay. Anal. Chem. 2009, 81, 5484–5489. [Google Scholar] [CrossRef] [PubMed]
  59. Yacoub-George, E.; Hell, W.; Meixner, L.; Wenninger, F.; Bock, K.; Lindner, P.; Wolf, H.; Kloth, T.; Feller, K.A. Automated 10-channel capillary chip immunodetector for biological agents detection. Biosens. Bioelectron. 2007, 22, 1368–1375. [Google Scholar] [CrossRef] [PubMed]
  60. Wang, P.P.; Ge, L.; Yan, M.; Song, X.R.; Ge, S.G.; Yu, J.H. Paper-based three-dimensional electrochemical immunodevice based on multi-walled carbon nanotubes functionalized paper for sensitive point-of-care testing. Biosens. Bioelectron. 2012, 32, 238–243. [Google Scholar] [CrossRef] [PubMed]
  61. Weeks, I.; Sturgess, M.L.; Woodhead, J.S. Chemiluminescence immunoassay: An overview. Clin. Sci. 1986, 70, 403–408. [Google Scholar] [CrossRef] [PubMed]
  62. Zeng, X.; Zhang, K.; Pan, J.; Chen, G.; Liu, A.Q.; Fan, S.K.; Zhou, J. Chemiluminescence detector based on a single planar transparent digital microfluidic device. Lab Chip 2013, 13, 2714–2720. [Google Scholar] [CrossRef] [PubMed]
  63. Chemical Connection. Available online: http://www.chemicalconnection.org.uk/chemistry/topics/images/ee7b.jpg (accessed on 5 Febuary 2016).
  64. Hu, L.; Xu, G. Applications and trends in electrochemiluminescence. Chem. Soc. Rev. 2010, 39, 3275–3304. [Google Scholar] [CrossRef] [PubMed]
  65. Richter, M.M. Electrochemiluminescence (ECL). Chem. Rev. 2004, 104, 3003–3036. [Google Scholar] [CrossRef] [PubMed]
  66. Forster, R.J.; Bertoncello, P.; Keyes, T.E. Electrogenerated chemiluminescence. Annu. Rev. Anal. Chem. 2009, 2, 359–385. [Google Scholar] [CrossRef] [PubMed]
  67. De Lorimier, R.M.; Smith, J.J.; Dwyer, M.A.; Looger, L.L.; Sali, K.M.; Paavola, C.D.; Rizk, S.S.; Sadigov, S.; Conrad, D.W.; Loew, L.; et al. Construction of a fluorescent biosensor family. Protein Sci. 2002, 11, 2655–2675. [Google Scholar] [CrossRef] [PubMed]
  68. Melnyk, O.; Duburcq, X.; Olivier, C.; Urbès, F.; Auriault, C.; Gras-Masse, H. Peptide arrays for highly sensitive and specific antibody-binding fluorescence assays. Bioconjug. Chem. 2002, 13, 713–720. [Google Scholar] [CrossRef] [PubMed]
  69. Cho, I.H.; Mauer, L.; Irudayaraj, J. In-situ fluorescent immunomagnetic multiplex detection of foodborne pathogens in very low numbers. Biosens. Bioelectron. 2014, 57, 143–148. [Google Scholar] [CrossRef] [PubMed]
  70. De Beéck, K.O.; Vermeersch, P.; Verschueren, P.; Westhovens, R.; Mariën, G.; Blockmans, D.; Bossuyt, X. Antinuclear antibody detection by automated multiplex immunoassay in untreated patients at the time of diagnosis. Autoimmun. Rev. 2012, 12, 137–143. [Google Scholar] [CrossRef] [PubMed]
  71. Juncker, D.; Bergeron, S.; Laforte, V.; Li, H. Cross-reactivity in antibody microarrays and multiplexed sandwich assays: Shedding light on the dark side of multiplexing. Curr. Opin. Chem. Biol. 2014, 18, 29–37. [Google Scholar] [CrossRef] [PubMed]
  72. Hou, J.Y.; Liu, T.C.; Lin, G.F.; Li, Z.X.; Zou, L.P.; Li, M.; Wu, Y.S. Development of an immunomagnetic bead-based time-resolved fluorescence immunoassay for rapid determination of levels of carcinoembryonic antigen in human serum. Anal. Chim. Acta 2012, 734, 93–98. [Google Scholar] [CrossRef] [PubMed]
  73. Liu, Y.; Zhou, S.; Tu, D.; Chen, Z.; Huang, M.; Zhu, H.; Ma, E.; Chen, X. Amine-functionalized lanthanide-doped zirconia nanoparticles: Optical spectroscopy, time-resolved fluorescence resonance energy transfer biodetection, and targeted imaging. J. Am. Chem. Soc. 2012, 134, 15083–15090. [Google Scholar] [CrossRef] [PubMed]
  74. Wang, Q.; Nchimi Nono, K.; Syrjänpää, M.; Charbonnière, L.J.; Hovinen, J.; Härmä, H. Stable and highly fluorescent europium (III) chelates for time-resolved immunoassays. Inorg. Chem. 2013, 52, 8461–8466. [Google Scholar] [CrossRef] [PubMed]
  75. Lin, B.; Qiu, J.; Gerstenmeier, J.; Li, P.; Pien, H.; Pepper, J.; Cunningham, B. A label-free optical technique for detecting small molecule interactions. Biosens. Bioelectron. 2002, 17, 827–834. [Google Scholar] [CrossRef]
  76. Fan, X.; White, I.M.; Shopova, S.I.; Zhu, H.; Suter, J.D.; Sun, Y. Sensitive optical biosensors for unlabeled targets: A review. Anal. Chim. Acta 2008, 620, 8–26. [Google Scholar] [CrossRef] [PubMed]
  77. Bennett, C.A. Principles of Physical Optics; Wiley: Hoboken, NJ, USA, 2008. [Google Scholar]
  78. Jin, G.; Meng, Y.H.; Liu, L.; Niu, Y.; Chen, S.; Cai, Q.; Jiang, T.J. Development of biosensor based on imaging ellipsometry and biomedical applications. Thin Solid Films 2011, 519, 2750–2757. [Google Scholar] [CrossRef]
  79. Alvarez, S.D.; Li, C.P.; Chiang, C.E.; Schuller, I.K.; Sailor, M.J. A label-free porous alumina interferometric immunosensor. ACS Nano 2009, 3, 3301–3307. [Google Scholar] [CrossRef] [PubMed]
  80. Mun, K.S.; Alvarez, S.D.; Choi, W.Y.; Sailor, M.J. A stable, label-free optical interferometric biosensor based on TiO2 nanotube arrays. ACS Nano 2010, 4, 2070–2076. [Google Scholar] [CrossRef] [PubMed]
  81. Homola, J.; Yee, S.S.; Gauglitz, G. Surface plasmon resonance sensors: Review. Sens. Actuators B Chem. 1999, 54, 3–15. [Google Scholar] [CrossRef]
  82. Pattnaik, P. Surface plasmon resonance: Applications in understanding receptor-ligand interaction. Appl. Biochem. Biotechnol. 2005, 126, 79–92. [Google Scholar] [CrossRef]
  83. Kanda, V.; Kariuki, J.K.; Harrison, D.J.; McDermott, M.T. Label-free reading of microarray-based immunoassays with surface plasmon resonance imaging. Anal. Chem. 2004, 76, 7257–7262. [Google Scholar] [CrossRef] [PubMed]
  84. Willets, K.A.; van Duyne, R.P. Localized surface plasmon resonance spectroscopy and sensing. Annu. Rev. Phys. Chem. 2007, 58, 267–297. [Google Scholar] [CrossRef] [PubMed]
  85. Thanh, N.T.K.; Rosenzweig, Z. Development of an aggregation-based immunoassay for anti-protein a using gold nanoparticles. Anal. Chem. 2002, 74, 1624–1628. [Google Scholar] [CrossRef] [PubMed]
  86. Posthuma-Trumpie, G.A.; Korf, J.; van Amerongen, A. Lateral flow (immuno) assay: Its strengths, weaknesses, opportunities and threats. A literature survey. Anal. Bioanal. Chem. 2009, 393, 569–582. [Google Scholar] [CrossRef] [PubMed]
  87. Lafleur, L.; Stevens, D.; McKenzie, K.; Ramachandran, S.; Spicar-Mihalic, P.; Singhal, M.; Arjyal, A.; Osborn, J.; Kauffman, P.; Yager, P. Progress toward multiplexed sample-to-result detection in low resource settings using microfluidic immunoassay cards. Lab Chip 2012, 12, 1119–1127. [Google Scholar] [CrossRef] [PubMed]
  88. Fu, E.; Liang, T.; Spicar-Mihalic, P.; Houghtaling, J.; Ramachandran, S.; Yager, P. Two-dimensional paper network format that enables simple multistep assays for use in low-resource settings in the context of malaria antigen detection. Anal. Chem. 2012, 84, 4574–4579. [Google Scholar] [CrossRef] [PubMed]
  89. Ng, A.H.; Uddayasankar, U.; Wheeler, A.R. Immunoassays in microfluidic systems. Anal. Bioanal. Chem. 2010, 397, 991–1007. [Google Scholar] [CrossRef] [PubMed]
  90. Foudeh, A.M.; Fatanat Didar, T.; Veres, T.; Tabrizian, M. Microfluidic designs and techniques using lab-on-a-chip devices for pathogen detection for point-of-care diagnostics. Lab Chip 2012, 12, 3249–3266. [Google Scholar] [CrossRef] [PubMed]
  91. Zhao, W.; van der Berg, A. Lab on paper. Lab Chip 2008, 8, 1988–1991. [Google Scholar] [PubMed]
  92. Cheng, C.M.; Martinez, A.W.; Gong, J.; Mace, C.R.; Phillips, S.T.; Carrilho, E.; Mirica, K.A.; Whitesides, G.M. Paper-based ELISA. Angew. Chem. Int. Ed. Engl. 2010, 49, 4771–4774. [Google Scholar] [CrossRef] [PubMed]
  93. Martinez, A.W.; Phillips, S.T.; Whitesides, G.M. Three-dimensional microfluidic devices fabricated in layered paper and tape. Proc. Natl. Acad. Sci. USA 2008, 105, 19606–19611. [Google Scholar] [CrossRef] [PubMed]
  94. Liu, H.; Crooks, R.M. Three-dimensional paper microfluidic devices assembled using the principles of origami. J. Am. Chem. Soc. 2011, 133, 17564–17566. [Google Scholar] [CrossRef] [PubMed]
  95. Ge, L.; Yan, J.X.; Song, X.R.; Yan, M.; Ge, S.G.; Yu, J.H. Three-dimensional paper-based electrochemiluminescence immunodevice for multiplexed measurement of biomarkers and point-of-care testing. Biomaterials 2012, 33, 1024–1031. [Google Scholar] [CrossRef] [PubMed]
  96. Tseng, S.C.; Yu, C.C.; Wan, D.; Chen, H.L.; Wang, L.A.; Wu, M.C.; Su, W.F.; Han, H.C.; Chen, L.C. Eco-friendly plasmonic sensors: Using the photothermal effect to prepare metal nanoparticle-containing test papers for highly sensitive colorimetric detection. Anal. Chem. 2012, 84, 5140–5145. [Google Scholar] [CrossRef] [PubMed]
  97. Fan, S.K.; Hsieh, T.H.; Lin, D.Y. General digital microfluidic platform manipulating dielectric and conductive droplets by dielectrophoresis and electrowetting. Lab Chip 2009, 9, 1236–1242. [Google Scholar] [CrossRef] [PubMed]
  98. Fan, S.K.; Hsu, Y.W.; Chen, C.H. Encapsulated droplets with metered and removable oil shells by electrowetting and dielectrophoresis. Lab Chip 2011, 11, 2500–2508. [Google Scholar] [CrossRef] [PubMed]
  99. Shih, S.C.; Gach, P.C.; Sustarich, J.; Simmons, B.A.; Adams, P.D.; Singh, S.; Singh, A.K. A droplet-to-digital (D2D) microfluidic device for single cell assays. Lab Chip 2015, 15, 225–236. [Google Scholar] [CrossRef] [PubMed]
  100. Rival, A.; Jary, D.; Delattre, C.; Fouillet, Y.; Castellan, G.; Bellemin-Comte, A.; Gidrol, X. An EWOD-based microfluidic chip for single-cell isolation, mRNA purification and subsequent multiplex qPCR. Lab Chip 2014, 14, 3739–3749. [Google Scholar] [CrossRef] [PubMed]
  101. Fan, S.K.; Huang, P.W.; Wang, T.T.; Peng, Y.H. Cross-scale electric manipulations of cells and droplets by frequency-modulated dielectrophoresis and electrowetting. Lab Chip 2008, 8, 1325–1331. [Google Scholar] [CrossRef] [PubMed]
  102. Fan, S.K.; Yang, H.; Wang, T.T.; Hsu, W. Asymmetric electrowetting—Moving droplets by a square wave. Lab Chip 2007, 7, 1330–1335. [Google Scholar] [CrossRef] [PubMed]
  103. Wheeler, A.R.; Moon, H.; Kim, C.J.; Loo, J.A.; Garrell, R.L. Electrowetting-based microfluidics for analysis of peptides and proteins by matrix-assisted laser desorption/ionization mass spectrometry. Anal. Chem. 2004, 76, 4833–4838. [Google Scholar] [CrossRef] [PubMed]
  104. Kirby, A.E.; Lafreniere, N.M.; Seale, B.; Hendricks, P.I.; Cooks, R.G.; Wheeler, A.R. Analysis on the go: Quantitation of drugs of abuse in dried urine with digital microfluidics and miniature mass spectrometry. Anal. Chem. 2014, 86, 6121–6129. [Google Scholar] [CrossRef] [PubMed]
  105. Wheeler, A.R.; Moon, H.; Bird, C.A.; Loo, R.R.; Kim, C.J.; Loo, J.A.; Garrell, R.L. Digital microfluidics with in-line sample purification for proteomics analyses with MALDI-MS. Anal. Chem. 2005, 77, 534–540. [Google Scholar] [CrossRef] [PubMed]
  106. Mei, N.; Seale, B.; Ng, A.H.; Wheeler, A.R.; Oleschuk, R. Digital microfluidic platform for human plasma protein depletion. Anal. Chem. 2014, 86, 8466–8472. [Google Scholar] [CrossRef] [PubMed]
  107. Sanders, R.; Huggett, J.F.; Bushell, C.A.; Cowen, S.; Scott, D.J.; Foy, C.A. Evaluation of digital PCR for absolute DNA quantification. Anal Chem 2011, 83, 6474–6484. [Google Scholar] [CrossRef] [PubMed]
  108. White, R.A., III; Quake, S.R.; Curr, K. Digital PCR provides absolute quantitation of viral load for an occult RNA virus. J. Virol. Methods 2012, 179, 45–50. [Google Scholar] [CrossRef] [PubMed]
  109. He, J.L.; Chen, A.T.; Lee, J.H.; Fan, S.K. Digital microfluidics for manipulation and analysis of a single cell. Int. J. Mol. Sci. 2015, 16, 22319–22332. [Google Scholar] [CrossRef] [PubMed]
  110. Barbulovic-Nad, I.; Yang, H.; Park, P.S.; Wheeler, A.R. Digital microfluidics for cell-based assays. Lab Chip 2008, 8, 519–526. [Google Scholar] [CrossRef] [PubMed]
  111. Yetisen, A.K.; Akram, M.S.; Lowe, C.R. Paper-based microfluidic point-of-care diagnostic devices. Lab Chip 2013, 13, 2210–2251. [Google Scholar] [CrossRef] [PubMed]
  112. Pollack, M.G.; Pamula, V.K.; Srinivasan, V.; Eckhardt, A.E. Applications of electrowetting-based digital microfluidics in clinical diagnostics. Expert Rev. Mol. Diagn. 2011, 11, 393–407. [Google Scholar] [CrossRef] [PubMed]
  113. Choi, K.; Ng, A.H.; Fobel, R.; Wheeler, A.R. Digital microfluidics. Annu. Rev. Anal. Chem. 2012, 5, 413–440. [Google Scholar] [CrossRef] [PubMed]
  114. Sista, R.S.; Eckhardt, A.E.; Srinivasan, V.; Pollack, M.G.; Palanki, S.; Pamula, V.K. Heterogeneous immunoassays using magnetic beads on a digital microfluidic platform. Lab Chip 2008, 8, 2188–2196. [Google Scholar] [CrossRef] [PubMed]
  115. Miller, E.M.; Ng, A.H.; Uddayasankar, U.; Wheeler, A.R. A digital microfluidic approach to heterogeneous immunoassays. Anal. Bioanal. Chem. 2011, 399, 337–345. [Google Scholar] [CrossRef] [PubMed]
  116. Vergauwe, N.; Witters, D.; Ceyssens, F.; Vermeir, S.; Verbruggen, B.; Puers, R.; Lammertyn, J. A versatile electrowetting-based digital microfluidic platform for quantitative homogeneous and heterogeneous bio-assays. J. Micromech. Microeng. 2011, 21, 054026. [Google Scholar] [CrossRef]
  117. Ng, A.H.; Choi, K.; Luoma, R.P.; Robinson, J.M.; Wheeler, A.R. Digital microfluidic magnetic separation for particle-based immunoassays. Anal. Chem. 2012, 84, 8805–8812. [Google Scholar] [CrossRef] [PubMed]
  118. Karuwan, C.; Sukthang, K.; Wisitsoraat, A.; Phokharatkul, D.; Patthanasettakul, V.; Wechsatol, W.; Tuantranont, A. Electrochemical detection on electrowetting-on-dielectric digital microfluidic chip. Talanta 2011, 84, 1384–1389. [Google Scholar] [CrossRef] [PubMed]
  119. Shamsi, M.H.; Choi, K.; Ng, A.H.; Wheeler, A.R. A digital microfluidic electrochemical immunoassay. Lab Chip 2014, 14, 547–554. [Google Scholar] [CrossRef] [PubMed]
  120. Tsaloglou, M.N.; Jacobs, A.; Morgan, H. A fluorogenic heterogeneous immunoassay for cardiac muscle troponin cTnI on a digital microfluidic device. Anal. Bioanal. Chem. 2014, 406, 5967–5976. [Google Scholar] [CrossRef] [PubMed]
  121. Ng, A.H.; Lee, M.; Choi, K.; Fischer, A.T.; Robinson, J.M.; Wheeler, A.R. Digital microfluidic platform for the detection of rubella infection and immunity: A proof of concept. Clin. Chem. 2015, 61, 420–429. [Google Scholar] [CrossRef] [PubMed]
  122. Choi, K.; Ng, A.H.; Fobel, R.; Chang-Yen, D.A.; Yarnell, L.E.; Pearson, E.L.; Oleksak, C.M.; Fischer, A.T.; Luoma, R.P.; Robinson, J.M.; et al. Automated digital microfluidic platform for magnetic-particle-based immunoassays with optimization by design of experiments. Anal. Chem. 2013, 85, 9638–9646. [Google Scholar] [CrossRef] [PubMed]

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MDPI and ACS Style

He, J.-L.; Wang, D.-S.; Fan, S.-K. Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic. Micromachines 2016, 7, 29. https://doi.org/10.3390/mi7020029

AMA Style

He J-L, Wang D-S, Fan S-K. Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic. Micromachines. 2016; 7(2):29. https://doi.org/10.3390/mi7020029

Chicago/Turabian Style

He, Jie-Long, Da-Shin Wang, and Shih-Kang Fan. 2016. "Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic" Micromachines 7, no. 2: 29. https://doi.org/10.3390/mi7020029

APA Style

He, J. -L., Wang, D. -S., & Fan, S. -K. (2016). Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic. Micromachines, 7(2), 29. https://doi.org/10.3390/mi7020029

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