Plasmonic ELISA for Sensitive Detection of Disease Biomarkers with a Smart Phone-Based Reader
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Serum myoglobin is one of the earliest markers for the diagnosis of acute myocardial infarction. It is, therefore, critical to develop a point-of-care testing technology for myoglobin detection. In this work, we reported a sensitive plasmonic immunoassay-based on enzyme-mediated localized surface plasmon resonance change of gold nanorods for the point-of-care testing detection of myoglobin. In addition, we developed a novel plasmonic immunoassay reader using the ambient light sensor of smart phone to increase the accessibility and utility of the plasmonic immunoassay. The linear detection range of gold nanorods-based plasmonic immunoassay for myoglobin detection was 0.1–1000 ng mL−1 and the limit of detection was 0.057 ng mL−1. Myoglobin in serum samples was also analyzed by the plasmonic immunoassay. The results were significantly correlated with those of conventional enzyme-linked immunosorbent assay. The plasmonic immunoassay, coupled with smart phone-based reader, could be widely used for point-of-care testing application of acute myocardial infarction, especially in the regions with limited technological resources.
KeywordsSerum myoglobin Acute myocardial infarction Plasmonic immunoassay Smart phone
Anti-Myo antibody 2
Triangular silver nanoprisms
Ambient light sensor
Acute myocardial infarction
Enzyme-linked immunosorbent assay
Localized surface plasmon resonance
Acute myocardial infarction (AMI) is the medical name for a heart attack that occurs when the blood flowing to the heart muscle is abruptly cut off, leading to tissue damage . Symptoms of AMI include severe and persistent post-sternal pain, arrhythmia, shock, and heart failure, which could be fatal . AMI is one of the most common diseases in Europe and America. Approximately, 1,500,000 people suffer from myocardial infarction every year in the USA alone. An obvious increase trend of AMI has also been observed in China in recent years, with at least 500,000 new patients per year. Point of care test of biomarker is of great significance for the early monitoring and treatment of AMI. Serum myoglobin (Myo) increases in 1–2 h after an AMI and reaches peak value at 6–9 h. Myo is believed to be one of the earliest serum markers for early diagnosis of AMI [3, 4, 5].
Recently, plasmonic immunoassays have been developed by combining traditional enzyme-linked immunosorbent assay (ELISA) and nanomaterials [6, 7]. Plasmonic immunoassays have been widely used in clinical diagnosis , environmental pollution monitoring , and food safety detection . Compared to other immunoassays, plasmonic immunoassays are highly sensitive and allow for naked-eye readout without the use of sophisticated instruments. Metal nanoparticles, such as gold and silver nano-materials, are commonly used in plasmonic nanosensors, due to their excellent localized surface plasmon resonance (LSPR). In plasmonic immunoassays, the enzyme-labeled antibody catalyzes its substrates to generate a product that triggers the aggregation or shape change of the nanomaterials. Chen’s group  reported a plasmonic immunoassay for pathogen detection using acetylcholinesterase (AChE)-catalyzed hydrolysis reaction to induce the aggregation of gold nanoparticles (AuNPs). The sensitivity of the plasmonic immunoassay is comparable to RT-PCR. However, the robust, ultra-rapid, and highly stable AuNPs aggregation in colorimetric assay remains a challenge due to the aggregation procedure of AuNPs being dynamic [12, 13]. Another kind of plasmonic immunoassay is based on inducing shape change of plasmonic nanoparticles. Triangular silver nanoprisms (AgNPRs) etching-based plasmonic biosensors were reported for the detection of cancer biomarkers, which uses hydrogen peroxide (H2O2) produced by glucose oxidase (GOx) for AgNPR etching [14, 15]. However, in order to quantitatively test a molecular target, relatively sophisticated and bulky instruments for measuring spectrum of nanomaterials are necessary along with the plasmonic immunoassays. The inconvenience associated with these instruments makes them inapplicable for point of care analysis. Therefore, there is an urgent need to develop a portable, inexpensive, and easy-to-use plasmonic immunoassay reader for a point-of-care testing (POCT) diagnosis.
Gold nanorods (AuNRs) have been widely adopted in biosensors [16, 17, 18], plasmonic imaging , tumor photothermal therapy , and photodynamic therapy  due to their unique physical, optical and electronical properties [22, 23, 24]. In this work, we reported a sensitive plasmonic immunoassay based on the enzyme-mediated LSPR change of AuNRs for the detection of Myo. In order to facilitate POCT diagnosis of AMI, we developed a novel plasmonic immunoassay reader using the ambient light sensor (ALS) of a smart phone. The high correlation between the results obtained from the plasmonic immunoassay and those from traditional ELISA on serum specimens demonstrated the application potentials of this new method for early POCT diagnosis of AMI, especially in the regions with limited technological resources.
Materials and Methods
Materials and Reagents
Myo (from human heart tissue) was purchased from Abcam (Cambridge, UK). Anti-myo monoclonal antibodies (mAb1 and mAb2) were produced in our lab (Additional file 1). Silver nitrate (AgNO3, 99.8%) and sodium borohydride (NaBH4) were purchased from Sinoreagent (Shanghai, China). The hydrogen peroxide (H2O2, 30 wt%) and H2SO4 were purchased from GZ chemical reagent factory (Guangzhou, China). Light-emitting diode (LED, 850 nm) was purchased from Shenzhen OCtai Co., Ltd. (Shenzhen, China). Chloroauric acid (HAuCl4), TMB (3,3′,5,5′-tet-ramethylbenzidine), Tween-20, and cetyltrimethylamm-onium bromide (CTAB) were purchased from Amresco (Houston, TX, USA). Glucose oxidase type VII from Aspergillus niger (GOx), horseradish peroxidase type VI (HRP), and bovine serum albumin (BSA) were purchased from Sigma-Aldrich (Saint Louis, MO, USA). Deionized water (Milli-Q grade, Millipore) with a resistivity of 18.2 MΩ cm was used throughout this study. Serum samples were collected from the Guangzhou Overseas Chinese Hospital (Guangzhou, China).
The LSPR spectra of AuNRs in 96-well plates were collected by a Synergy H1 Hybrid Multi-Mode Microplate Reader (Bio-Tek Instruments, Inc. USA). The absorbance of the HRP-based ELISA was measured at 450 nm using a MK3 microplate reader (Bio-Tek Instruments, Inc. USA). Characterization of AuNRs was performed with a PHILIPS TECNAI-10 transmission electron microscope (TEM) operating at an acceleration voltage of 120 kV. The samples for TEM measurements were prepared by depositing one drop of aqueous dispersion onto a copper grid coated with thin films of carbon, and the solvent was removed by evaporation in air. A 3D printer was purchased from the SHINING 3D (Hangzhou, China). A HUAWEI P9 smart phone (Shenzhen, China) was chosen as the basic smart phone for the plasmonic immunoassay reader.
Design of the Smart Phone-Based Plasmonic Immunoassay Reader
The design of the smart phone-based plasmonic immunoassay reader was created with software (Solidworks 2014), and then processed by the software, 3D star. For printing setup, print mode was set to quality and the supporting way was configured to internal and external support. A free smart phone application, Light Meter, was utilized to display measured results on the screen. In this work, the plasmonic immunoassay reader is running on an android (open source) phone. This reader also can be used on iPhone, if the user applied an iOS version software (Light Meter).
Synthesis of AuNRs
AuNRs were prepared by seed gold-mediated growth . Gold seed preparation: fresh 0.01 M sodium borohydride in 0.01 M sodium hydroxide was prepared. Then, 600 μL of sodium borohydride solution were added to a HAuCl4 solution (0.25 mM) in 10 mL 0.1 M CTAB under stirring (300 rpm min−1). The color of the gold seed changed from greenish to light brown. Synthesis of nanorods: AgNO3 (70 μL, 0.1 M) solution was added to 10 mL HAuCl4 solution (0.5 mM) in 0.1 M CTAB. Subsequently, 140 μL of ascorbic acid (0.0788 M) were added under stirring (300 rpm min−1). Finally, 12 μL of gold seed were added, and the solution was mixed under stirring (300 rpm min−1) for 12 h before use.
Procedure of AuNRs-Based Plasmonic Immunoassay for Myo Detection
For the plasmonic immunoassay, to prepare the 96-well polystyrene plates with anti-Myo antibody 1 (Ab1), diluted Ab1 was incubated in 96-well polystyrene plates at 4 °C overnight. After three washes with PBST, the 96-well polystyrene plates were blocked with blocking buffer (1 mg mL−1 BSA in PBST) at 37 °C for 1 h. Then the 96-well polystyrene plates were washed three times with wash buffer, and stored at − 20 °C. The Anti-Myo antibody 2 labeled with GOx (GOx-Ab2) was prepared by following the procedures showed in the Additional file 1.
For Myo detection, different concentrations of Myo solutions (100 μL) were added to the Ab1-coated 96-well polystyrene plates. After incubation for 1 h, the plates were washed three times with PBST buffer, and then 0.01 mg mL−1 GOx-Ab2 was added and incubated at 37 °C for another 1 h. Then, the plates were washed three times with PBST buffer, and 50 μL glucose (0.5 mM) was added and incubated at 37 °C for 30 min. Subsequently, the supernatant was mixed with 50 μL citrate buffer (40 mM, pH 4.0) containing AuNRs ([Au0] 0.24 mM), CTAB (12.5 mM), and HRP (3 μM), and incubated for 30 min. The corresponding LSPR spectrum of the AuNRs was collected by a commercial microplate reader and the transmitted light intensity (850 nm) of the AuNRs was measured by the smart phone-based plasmonic immunoassay reader. The calibration curve of the plasmonic immunoassays for Myo was constructed by fitting measured transmitted light intensity to the related Myo concentration. For detection of Myo, serum samples were diluted ten times using PBS buffer. Then, 100 μL of the diluted serum samples were added to the Ab1-coated 96-well polystyrene plates. The concentration of Myo was tested as described above. Each value presents the mean from three replicates.
The procedure for HRP-based ELISA is shown in the Additional file 1.
Data Analysis Method
Linear regression analysis was processed with origin 9.0. All experiments were repeated three times independently. Each value presents the mean from three replicates.
Results and Discussion
Principle of the AuNRs-Based Immunoassay for Myo Detection
Optimization of Plasmonic Immunoassay for Myo Detection
GOx could catalyze glucose to produce H2O2, which could etch AuNRs. In this work, 0.5 mM glucose was catalyzed by different concentrations of GOx, and the produced H2O2 was used to etch AuNRs (Fig. 2g). When the concentration of GOx was at 100 pg mL−1 (6.66 × 10−11 mol L−1), the LSPR spectrum of AuNRs showed an obvious blue shift, suggesting the high sensitivity of the AuNRs-based plasmonic immunoassay. GOx was conjugated with Ab2 and then diluted to different concentrations. The catalytic activity of GOx-Ab2 was validated by decomposed GOx and etched AuNRs. The LSPR spectrum of AuNRs was blue shifted with increasing GOx-Ab2 concentration (Fig. 2h), which indicated that GOx-Ab2 maintains good catalytic activity. In addition, Myo was coated on microplates and incubated with GOx-Ab2. After 30 min, GOx-Ab2 was washed three times with PBST buffer. Glucose was then added to the microwell, followed by the addition of AuNRs to the glucose solution after 30 min. The blue shift of the LSPR spectrum of AuNRs increased with increasing GOx-Ab2 concentration (Fig. 2i), demonstrating that Ab2 maintains its immunologic activity, while GOx maintains its catalytic activity.
Smart Phone-Based Plasmonic Immunoassay Reader for On-site Myo Detection
Analytical Performance of the Plasmonic Immunoassay for Myo Detection
Comparison of the Plasmonic Immunoassay and ELISA
By taking advantage of the unique optical properties of AuNRs, we successfully developed a plasmonic immunoassay for detecting acute myocardial infarction in clinical samples. To improve the utility of the immunoassay in on-site testing, we prepared a smart phone-based plasmonic immunoassay reader that relies on ALS of the smart phone to measure transmitted light intensity of AuNRs. The limit of detection of the AuNRs-based plasmonic immunoassay read by the smart phone reader was 0.057 ng mL−1. This biosensor was more sensitive than conventional ELISA, making it a promising platform for biomedical applications. In addition, by using the smart phone-based plasmonic immunoassay reader, the biosensor does not require any sophisticated experimental equipment, which makes it more accessible in the regions with limited resources.
This work is supported by the National Natural Science Foundation of China (31700768) and China Postdoctoral Science Foundation (2017 M612841).
Availability of Data and Materials
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
QY experimental and manuscript preparation. RC experimental. WX experimental and manuscript review. ZW manuscript review. XL manuscript review. YX manuscript review. MX experimental design. HZ experimental planning. GS experimental planning. QL manuscript preparation and review. QF experimental planning and manuscript preparation. JX experimental planning and review. JX experimental planning and manuscript preparation. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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- 1.Peters AE, Keeley EC (2018) J Am Heart Assoc Cardiovasc Cerebrovasc Dis 7:e007664Google Scholar
- 2.Lu SF, Lu LX, Smith JS, Dai X (2017) Am J Med 131:574Google Scholar
- 3.Greenslade JH, Carlton EW, Van HC, Cho E, Hawkins T, Parsonage WA, Tate J, Ungerer J, Cullen L (2017) Ann Emerg Med 71:439–451Google Scholar
- 14.Yao C, Yu S, Li X, Wu Z, Liang J, Fu Q, Xiao W, Jiang T, Tang Y (2016) Anal Bioanal Chem 409:1–8Google Scholar
- 18.Zhang Z, Chen Z, Cheng F, Zhang Y, Chen L (2016) Biosensors & Bioelectronics 89:932–936Google Scholar
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