Calibration-free concentration analysis of protein biomarkers in human serum using surface plasmon resonance

Absolute quantification of microRNAs based on mass transport limitation under a laminar flow SPR system

As an important biomarker for diagnostics and therapeutics of various diseases, the low-cost, quantitative detection method of microRNAs (miRNAs) has recently caught broad attention. However, their small size and low abundance still derive challenges to quantification detection. In this study, we developed an ultrasensitive and multiplexed surface plasmon resonance (SPR) biosensor for quantifying miRNAs without standard. We introduced the mass transport limitation (MTL) strategy for the absolute quantification of miRNAs. We first explore the mechanism of DNA capture and the condition for triggering MTL on the SPR biosensor. We demonstrated that probes of 22-25 nt in length with fewer influences of the secondary structure provide better triggering of MTL. For proof of concept studies, let-7a, miR-155 and miR-21 were selected as candidate targets. Based on the structure and kinetics analysis, we demonstrate the best capture probe efficiency, and this biosensor's limit of detection (LOD) is 500 fM without any signal amplification. Furthermore, our biosensor achieves multiplex detection, which could detect three targets simultaneously. The quantitative results of miRNA indicated the great prospects of our biosensor in nucleic acid-related early diagnosis and biosensing.

Identification of early stage and metastatic prostate cancer using electrochemical detection of beta-2-microglobulin in urine samples from patients

To improve prostate cancer (PCa) diagnosis, it is imperative to identify novel biomarkers and establish effective screening techniques. Here, we introduce electrochemical biosensing of β-2-Microglobulin (β2M) in urine as a potential diagnostic tool for PCa. The immunosensor is composed of a screen-printed graphene electrode coated with anti β2M antibodies. The sensor is capable of detecting the protein directly in urine without any sample pretreatment within 45 min including sample incubation and a lower limit of detection of 204 µg/L. The sensor demonstrated a significant difference in the β2M-creatinine ratio in urine between control and both local- and metastatic PCa (mPCa) (P = 0.0302 and P = 0.0078 respectively), and between local- and mPCa (P = 0.0302). This first example of electrochemical sensing of β2M for the diagnosis of PCa may set the stage for an affordable, on-site screening technique for PCa.

Electrospun Nanofibers including Organic/Inorganic Nanohybrids: Polystyrene- and Clay-Based Architectures in Immunosensor Preparation for Serum Amyloid A

Diagnostic techniques based on biomolecules have application potential that can be realized in many fields, such as disease diagnosis, bioprocess imaging, food/beverage industries, and environmental pollutant imaging. Successful surface immobilization of biomolecules is critical to increasing the stabilization, sensitivity, and selectivity of biomolecules used in bioassay systems. Nanofibers are good candidates for the immobilization of biomolecules owing to many advantages such as morphology and pore size. In this study, montmorillonite (MMT) clay is modified with poly(amidoamine) (PAMAM) generation 3 (PAMAM_G3) and added to polystyrene (PS) solutions, following which PS/MMT-PAMAM_G3 nanofibers are obtained using the electrospinning method. The nanofibers are obtained by testing PS% (wt%) and MMT-PAMAM_G3% (wt%) ratios and characterized with scanning electron microscopy. Antiserum amyloid A antibody (Anti-SAA) is then conjugated to the nanofibers on the electrode surface via covalent bonds using a zero-length cross linker. Finally, the obtained selective surface is used for electrochemical determination of serum amyloid A (SAA) levels. The linear range of PS/MMT-PAMAM/Anti-SAA is between 1 and 200 ng/mL SAA, and the detection limit is 0.57 ng/mL SAA. The applicability of PS/MMT-PAMAM_G3/Anti-SAA is investigated by taking measurements in synthetic saliva and serum both containing SAA.

Au@NiFeMOFs as the signal quencher of Au@g-C3N4NSs composite for sensitive "on-off" electrochemiluminescence immunosensing of beta-2-microglobulin

In this study, an electrochemiluminescence resonance energy transfer (ECL-RET) immunosensor was constructed to detect beta-2-microglobulin (B2M). As a donor-acceptor pair, a carbon nitride nanosheet modified with gold nanoparticles (Au@g-C₃N₄NSs) and a nickel- and iron-based organic framework modified with gold nanoparticles (Au@NiFeMOFs) were prepared. The sandwich immunosensor was successfully constructed so that ECL-RET occurred between Au@NiFeMOFs and Au@g-C₃N₄NSs. The ECL intensity of the immunosensor decreased with the increase the B2M concentration due to the low conductivity of B2M. The linear range of the ECL-RET immunosensor was from 10 fg/mL to 10 ng/mL, and the limit of detection was 2.3 fg/mL (S/N = 3). The developed immunosensor had high sensitivity, high specificity, and excellent stability. It could realize the sensitivity test of B2M and provide a novel idea for the detection of biomarkers.

Concept of the "Universal Slope": Toward Substantially Shorter Decentralized Insulin Immunoassays

Decentralized sensing of analytes in remote locations is today a reality. However, the number of measurable analytes remains limited, mainly due to the requirement for time-consuming successive standard additions calibration used to address matrix effects and resulting in greatly delayed results, along with more complex and costly operation. This is particularly challenging in commonly used immunoassays of key biomarkers that typically require from 60 to 90 min for quantitation based on two standard additions, hence hindering their implementation for rapid and routine diagnostic applications, such as decentralized point-of-care (POC) insulin testing. In this work we have developed and demonstrated the theoretical framework for establishing a universal slope for direct calibration-free POC insulin immunoassays in serum samples using an electrochemical biosensor (developed originally for extended calibration by standard additions). The universal slope is presented as an averaged slope constant, relying on 68 standard additions-based insulin determinations in human sera. This new quantitative analysis approach offers reliable sample measurement without successive standard additions, leading to a dramatically simplified and faster assay (30 min vs 90 min when using 2 standard additions) and greatly reduced costs, without compromising the analytical performance while significantly reducing the analyses costs. The substantial improvements associated with the new universal slope concept have been demonstrated successfully for calibration-free measurements of serum insulin in 30 samples from individuals with type 1 diabetes using meticulous statistical analysis, supporting the prospects of applying this immunoassay protocol to routine decentralized POC insulin testing.

Comparative study on quantitation of human myoglobin by both isotope dilution mass spectrometry and surface plasmon resonance based on calibration-free analysis

The activity of proteins rather than the concentration of proteins in biopharmaceutical and in vitro diagnostics are often the primary focus. Nonetheless, development of a calibration-free concentration analysis (CFCA) approach that accurately quantifies the concentration of proteins based on molecular interactions with specific monoclonal antibodies and without the requirement of external calibrators would be beneficial to diagnostics. Generally, only analytes that interact with the antibody (Ab) are quantified by CFCA. Moreover, protein concentrations measured by CFCA usually vary when different Abs are used, and are lower than those obtained by amino acid analysis because any non-native state population of the target protein is not captured by the Ab. To achieve comparable results between CFCA and traditional amino acid analysis (AAA), an Ab that recognizes the target protein irrespective of its conformation should be used. In this report, three different monoclonal antibodies were used to quantify purified human myoglobin in solution by CFCA. The concentrations obtain by the Abs (i.e., 2.985, 2.912, 3.032 mg mL^-1) were comparable with that obtained by AAA. Moreover, isotope dilution mass spectrometry (IDMS) gave a human myoglobin concentration of 2.851 mg mL^-1, which is also in agreement with the results from CFCA. The performance of CFCA was evaluated by measuring various parameters, including within-day and between-day precision. The results demonstrated that the active concentration measured by CFCA is comparable with that of IDMS when the appropriate Ab is used. Recommended procedures for performing the new CFCA approach are provided. This study shows that CFCA represents a primary method for accurate protein concentration determination, which should aid the development of certified reference materials. Graphical abstract.

Surface Plasmon Resonance for Measuring Interactions of Proteins with Lipids and Lipid Membranes

Surface plasmon resonance (SPR) is an established method for studying molecular interactions in real time. It allows obtaining qualitative and quantitative data on interactions of proteins with lipids or lipid membranes. In most of the approaches a lipid membrane or a membrane-mimetic surface is prepared on the surface of Biacore (GE Healthcare) sensor chips HPA or L1, and the studied protein is then injected across the surface. Here we provide an overview of SPR in protein-lipid and protein-membrane interactions, different approaches described in the literature and a general protocol for conducting an SPR experiment including lipid membranes, together with some experimental considerations.

SI-traceable calibration-free analysis for the active concentration of G2-EPSPS protein using surface plasmon resonance

Active proteins play important roles in the function regulation of human bodies and attract much interest for use in pharmaceuticals and clinical diagnostics. However, the lack of primary methods to analyze active proteins means there is currently no metrology standard for active protein measurement. In recent years, calibration-free concentration analysis (CFCA), which is based on surface plasmon resonance (SPR) technology, has been proposed to determine the active concentration of proteins that have specific binding activity with a binding partner without any higher order standards. The CFCA experiment observes the changes of binding rates at totally different two flow rates and uses the known diffusion coefficient of an analyte to calculate the active concentration of proteins, theoretically required, the binding process have to be under diffusion-limited conditions. Measuring the active concentration of G2-EPSPS protein by CFCA was proposed in this study. This method involves optimization of the regeneration buffer and preparation of chip surfaces for appropriate reaction conditions by immobilizing ligands (G2-EPSPS antibodies) on sensor chips (CM5) via amine coupling. The active concentration of G2-EPSPS was then determined by injection of G2-EPSPS protein samples and running buffer over immobilized and reference chip surfaces at two different flow rates (5 and 100μLmin^-1). The active concentration of G2-EPSPS was obtained after analyzing these sensorgrams with the 1:1 model. Using the determined active concentration of G2-EPSPS, the association, dissociation, and equilibrium constants of G2-EPSPS and its antibody were determined to be 2.18 ± 0.03 × 10⁶M^-1s^-1, 5.79 ± 0.06 ×10^-3s^-1, and 2.65 ± 0.06 × 10^-9M, respectively. The performance of the proposed method was evaluated. The within-day precisions were from 3.26% to 4.59%, and the between-day precision was 8.36%. The recovery rate of the method was from 97.46% to 104.34% in the concentration range of 1.5-8nM. The appropriate concentration range of G2-EPSPS in the proposed method was determined to be 1.5-8nM. The active G2-EPSPS protein concentration determined by our method was only 17.82% of that obtained by isotope dilution mass spectrometry, showing the active protein was only a small part of the total G2-EPSPS protein. The measurement principle of the proposed method can be clearly described by equations and the measurement result can be expressed in SI units. Therefore, the proposed method shows promise to become a primary method for active protein concentration measurement, which can benefit the development of certified reference materials for active proteins.

Intramolecular Self-Enhanced Nanochains Functionalized by an Electrochemiluminescence Reagent and Its Immunosensing Application for the Detection of Urinary β2-Microglobulin

In this study, polyethylenimine (PEI) is discovered to possess a noticeable amplification effect for the electrochemiluminescence (ECL) of N-(aminobutyl)-N-(ethylisoluminol) (ABEI); thus, a novel self-enhanced ECL reagent (ABEI-PEI) is prepared by covalent cross-linking. Because of the shortened electron-transfer path and reduced energy loss, the intramolecular ECL reaction between ABEI and PEI exhibited enhanced luminous efficiency compared with the traditional intermolecular ECL reaction. Owing to the amine-rich property of PEI, abundant ABEI could be immobilized on the molecular chains of PEI to strengthen the luminous intensity of ABEI-PEI. On account of the reducibility of remaining amino groups, ABEI-PEI, as the self-enhanced ECL reagent, has also been chosen as a reductant and stabilizer for in situ preparation of Au@Ag nanochains (Au@AgNCs) which has the catalytic activity for the ECL reaction. Moreover, using ABEI-PEI as a template to directly prepare Au@AgNCs realizes the immobilization of the ECL reagent with large amounts. Meanwhile, in virtue of the electropositivity of ABEI-PEI-capped Au@AgNCs (ABEI-PEI-Au@AgNCs), polyacrylic acid (PAA) with electronegativity is pervaded on the surface of nanochains and further chelates with Co²⁺ to form an ABEI-PEI-Au@AgNCs-PAA/Co²⁺ complex, which could introduce Co²⁺ as a catalyst to promote H₂O₂ decomposition and thus oxidize ABEI to produce an enhanced ECL signal. Here, the obtained self-enhanced ABEI-PEI-Au@AgNCs-PAA/Co²⁺ complex is utilized to capture the detection antibody (Ab₂). According to sandwiched immunoreactions, a sensitive ECL immunosensor is constructed for the detection of β2-microglobulin with a wide linearity from 0.01 pg mL^-1 to 200 ng mL^-1 and a detection limit of 3.3 fg mL^-1.

Dual-Mode Electro-Optical Techniques for Biosensing Applications: A Review

The monitoring of biomolecular interactions is a key requirement for the study of complex biological processes and the diagnosis of disease. Technologies that are capable of providing label-free, real-time insight into these interactions are of great value for the scientific and clinical communities. Greater understanding of biomolecular interactions alongside increased detection accuracy can be achieved using technology that can provide parallel information about multiple parameters of a single biomolecular process. For example, electro-optical techniques combine optical and electrochemical information to provide more accurate and detailed measurements that provide unique insights into molecular structure and function. Here, we present a comparison of the main methods for electro-optical biosensing, namely, electrochemical surface plasmon resonance (EC-SPR), electrochemical optical waveguide lightmode spectroscopy (EC-OWLS), and the recently reported silicon-based electrophotonic approach. The comparison considers different application spaces, such as the detection of low concentrations of biomolecules, integration, the tailoring of light-matter interaction for the understanding of biomolecular processes, and 2D imaging of biointeractions on a surface.

Wavelength-Scanning SPR Imaging Sensors Based on an Acousto-Optic Tunable Filter and a White Light Laser

A fast surface plasmon resonance (SPR) imaging biosensor system based on wavelength interrogation using an acousto-optic tunable filter (AOTF) and a white light laser is presented. The system combines the merits of a wide-dynamic detection range and high sensitivity offered by the spectral approach with multiplexed high-throughput data collection and a two-dimensional (2D) biosensor array. The key feature is the use of AOTF to realize wavelength scan from a white laser source and thus to achieve fast tracking of the SPR dip movement caused by target molecules binding to the sensor surface. Experimental results show that the system is capable of completing a SPR dip measurement within 0.35 s. To the best of our knowledge, this is the fastest time ever reported in the literature for imaging spectral interrogation. Based on a spectral window with a width of approximately 100 nm, a dynamic detection range and resolution of 4.63 × 10^-2 refractive index unit (RIU) and 1.27 × 10^-6 RIU achieved in a 2D-array sensor is reported here. The spectral SPR imaging sensor scheme has the capability of performing fast high-throughput detection of biomolecular interactions from 2D sensor arrays. The design has no mechanical moving parts, thus making the scheme completely solid-state.

Calibration-free concentration analysis for an analyte prone to self-association

Calibration-free concentration analysis (CFCA) based on surface plasmon resonance uses the diffusion coefficient of an analyte to determine the concentration of that analyte in a bulk solution. In general, CFCA is avoided when investigating analytes prone to self-association, as the heterogeneous diffusion coefficient results in a loss of precision. The derivation for self-association of the analyte was presented here. By using the diffusion coefficient for the monomeric state, CFCA provides the lowest possible concentration even though the analyte is self-associated.

Fast spectral surface plasmon resonance imaging sensor for real-time high-throughput detection of biomolecular interactions

A fast surface plasmon resonance (SPR) imaging biosensor system based on wavelength interrogation using a liquid crystal tunable filter (LCTF) is presented. The system combines the merits of wide-dynamic detection range offered by the spectral approach and multiplexed high-throughput data collection with a two-dimensional (2-D) biosensor array. The key feature of the reported scheme is a feedback loop that drives the LCTF to achieve fast tracking of the SPR dip movement caused by the binding of target molecules to the sensor surface. Experimental results show that the system is capable of completing an SPR dip measurement within 4 s. Based on using a spectral window of about 100 nm, the experimental dynamic detection range and refractive index resolution are 4.63×10?2??RIU and 5.87×10?6??RIU, respectively. As also demonstrated herein using 2-D microsensor arrays, among the spectral SPR sensors, the reported system is most suitable for multiplexed label-free biosensing applications.

Biosensor binding data and its applicability to the determination of active concentration

Protein concentration data are required for understanding protein interactions and are a prerequisite for the determination of affinity and kinetic properties. It is vital for the judgment of protein quality and for monitoring the effect of therapeutic agents. Protein concentration values are typically obtained by comparison to a standard and derived from a standard curve. The use of a protein standard is convenient, but may not give reliable results if samples and standards behave differently. In other cases, a standard preparation may not be available and has to be established and validated. Using surface plasmon resonance (SPR) biosensors, an alternative concentration method is possible. This method is called calibration-free concentration analysis (CFCA); it generates active concentration data directly and without the use of a standard. The active concentration of a protein is defined through its interaction with its binding partner. This concentration can differ from the total protein concentration if some protein fraction is incapable of binding. If a protein has several different binding sites, active concentration data can be established for each binding site using site-specific interaction partners. This review will focus on CFCA analysis. It will reiterate the theory of CFCA and describe how CFCA has been applied in different research segments. The major part of the review will, however, try to set expectations on CFCA and discuss how CFCA can be further developed for absolute and relative concentration measurements.

Clinicopathological Analysis and Multipronged Quantitative Proteomics Reveal Oxidative Stress and Cytoskeletal Proteins as Possible Markers for Severe Vivax Malaria

In Plasmodium vivax malaria, mechanisms that trigger transition from uncomplicated to fatal severe infections are obscure. In this multi-disciplinary study we have performed a comprehensive analysis of clinicopathological parameters and serum proteome profiles of vivax malaria patients with different severity levels of infection to investigate pathogenesis of severe malaria and identify surrogate markers of severity. Clinicopathological analysis and proteomics profiling has provided evidences for the modulation of diverse physiological pathways including oxidative stress, cytoskeletal regulation, lipid metabolism and complement cascades in severe malaria. Strikingly, unlike severe falciparum malaria the blood coagulation cascade was not found to be affected adversely in acute P. vivax infection. To the best of our knowledge, this is the first comprehensive proteomics study, which identified some possible cues for severe P. vivax infection. Our results suggest that Superoxide dismutase, Vitronectin, Titin, Apolipoprotein E, Serum amyloid A, and Haptoglobin are potential predictive markers for malaria severity.