Next Article in Journal
A Method of Managing Waste Oak Flour as a Biocomponent for Obtaining Composites Based on Modified Soybean Oil
Previous Article in Journal
Mechanical and Electrical Properties of Graphene Oxide Reinforced Copper–Tungsten Composites Produced via Ball Milling of Metal Flakes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Hemolysis-Inspired, Highly Sensitive, Label-Free IgM Detection Using Erythrocyte Membrane-Functionalized Nanomechanical Resonators

1
Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Korea
2
Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong 30019, Korea
3
Department of Mechanical Engineering, Hanyang University, Seoul 04763, Korea
4
Department of Biomechatronics Engineering, Sungkyunkwan University, Suwon 16419, Korea
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Materials 2022, 15(21), 7738; https://doi.org/10.3390/ma15217738
Submission received: 9 October 2022 / Revised: 28 October 2022 / Accepted: 31 October 2022 / Published: 3 November 2022

Abstract

:
Immunoglobulin detection is important for immunoassays, such as diagnosing infectious diseases, evaluating immune status, and determining neutralizing antibody concentrations. However, since most immunoassays rely on labeling methods, there are limitations on determining the limit of detection (LOD) of biosensors. In addition, although the antigen must be immobilized via complex chemical treatment, it is difficult to precisely control the immobilization concentration. This reduces the reproducibility of the biosensor. In this study, we propose a label-free method for antibody detection using microcantilever-based nanomechanical resonators functionalized with erythrocyte membrane (EM). This label-free method focuses on the phenomenon of antibody binding to oligosaccharides (blood type antigen) on the surface of the erythrocyte. We established a method for extracting the EM from erythrocytes and fabricated an EM-functionalized microcantilever (MC), termed EMMC, by surface-coating EM layers on the MC. When the EMMC was treated with immunoglobulin M (IgM), the bioassay was successfully performed in the linear range from 2.2 pM to 22 nM, and the LOD was 2.0 pM. The EMMC also exhibited excellent selectivity compared to other biomolecules such as serum albumin, γ-globulin, and IgM with different paratopes. These results demonstrate that EMMC-based nanotechnology may be utilized in criminal investigations to identify blood types with minimal amounts of blood or to evaluate individual immunity through virus-neutralizing antibody detection.

1. Introduction

Immunoglobulin (Ig), also known as an antibody, is a glycoprotein that binds to an antigenic epitope [1]. Ig plays an essential role in the immune response by recognizing and binding to viruses and inducing elimination [2]. Ig takes different forms depending on the isotype, each with a different target specificity and role [3,4,5,6,7]. In particular, IgM is related to innate immunity, and the detection of IgM is important for immunoassays, such as determining the degree of neutralization of antibody formation [8,9,10]. So far, IgM has been mainly used as a molecular probe for the labeling method because it is capable of an antigen–antibody reaction, regardless of molecular orientation, in the form of five IgG bounds [11,12]. An example would be the use of IgM for the ABO blood type test [13].
Immunoassay is based on a biological method that analyzes a specific reaction between an antigen and an antibody [14,15]. An immunoassay can be used to test antigens using antibodies, or vice versa, and is applied in various fields such as disease diagnosis [16], drug screening [17], and healthcare [18]. Representative immunoassay techniques include Western blot [19] and enzyme-linked immunosorbent assay (ELISA) [20]. Western blot is a method for detecting the presence of a particular antigen in a sample using antibodies, and ELISA is a method for examining the amount of specific antigens in a sample through an enzyme bound to the antibody. Western blot and ELISA methods are common methods for detecting antigens and antibodies. Still, both methods use complex detection procedures and either the primary or secondary enzyme must be labeled with fluorescent molecules [21]. However, these labeling methods cause false-positive/negative occurrences in biological assays due to alterations in physicochemical or intermolecular binding properties [22,23]. To solve this problem, label-free methods for biomolecular detection have been developed, such as electrochemical [24,25,26], surface plasmon resonance [27,28], and nanowell assay [29,30,31]. The label-free immunoassay methods are attracting attention because of their advantages, such as easy fabrication [32] and low cost [33], while excluding the effect of the labels [34].
MC-based sensors have been widely used in immunoassays due to their advantages of high sensitivity [35], low cost [36], simple procedure [37], and low analyte requirements [38] for viruses [39], bacteria [40,41,42], antigens [43], and proteins [44]. The resonant frequency (ω) of the MC is inversely proportional to the square root of the mass of the MC. That is, an increase in the mass of the MC due to molecular adsorption decreases the ω of the MC. Using the ω shift (Δω), defined as ωω0, it is possible to assay biomolecules such as viruses [39], bacteria [40,41,42], antigens [43], and proteins [44]. Furthermore, recent studies have demonstrated that the MC-based detection of very low biomolecular concentrations, from nanograms to attograms per mL, is possible [45,46,47,48,49]. Despite these strong points, an MC-based IgM assay has never been attempted before due to the lack of technology. Meanwhile, we noted that IgM interacts with oligosaccharide antigens on erythrocytes during hemolysis, a symptom of autoimmune disease [50,51]. Specifically, when exogenous erythrocytes enter the body, IgM binds and removes them through hemolysis. In autoimmune diseases, IgM induces hemolysis by binding to endogenous erythrocytes. In detail, as the amount of bound IgM increases, the mechanical stress applied to the cell membrane increases, resulting in hemolysis [52].
Herein, inspired by IgM-induced hemolysis, we have fabricated a novel EM-functionalized MC (EMMC) for IgM detection (Figure 1a,b). EM was extracted from whole human blood and functionalized with a single layer on an MC. The surface functionalization of EM on the MC has two advantages over conventional receptor functionalization on the MC [53,54,55,56,57,58,59,60]. First, the cumbersome process of receptor immobilization can be omitted. Additionally, no additional molecular passivation is required between the receptors [39]. Recently, the EM functionalization of nanoparticles [53,54], electrodes [55,56,57,58,59], and paper sensors [60] has conferred highly sensitive and selective ligand–receptor binding, as well as the sophisticated filtration of interfering molecules. In this study, we demonstrated the detection performance of an EMMC as a function of IgM concentration (Figure 1c). We also conducted a selectivity test in the presence of interfering molecules such as human serum albumin, γ-globulin, and nonspecific IgM with different paratopes. We believe that the EMMC will be a robust and label-free method used to detect IgM that can be applied in various fields such as immune disorder diagnosis, immune status assessment, and neutralizing antibody quantification.

2. Materials and Methods

2.1. Chemicals

Advanced PAP pen (liquid blocker, 3-Bromopropane 65%, Ligroine 10%), distilled water (DW), deionized water (DIW), phosphate buffer saline (1×, PBS, pH 7.4), human serum, human serum albumin (HSA), and γ-globulin were purchased from Sigma Aldrich (Burlington, MA, USA). Additionally, 18:1 PE CF fluorescent lipid was purchased from Avanti Polar Lipid (Alabaster, AL, USA). Anti-A (ABO1) and Anti-B (ABO2) were purchased from DIAGAST (Loos, Nord, France).

2.2. Apparatus and Measurements

Morphology and fluorescence images of the MCs were characterized by microscopy (DS-Ni2, Nikon, Melville, NY, USA). An MC (PR-T190, k = 45 N/m; Probes, Seoul, Korea) was mounted on to an AFM aqua head (ezAFM, NanoMagnetics Instruments, Oxford, UK). The laser voltage before MC tuning was about 2.0V. Next, the ω of the MC was calibrated using the ‘Auto Tune’ method in the ezAFM v10.20 software. All the MCs were mounted on to AFM aqua heads after they were completely dried.

2.3. EM Collection

EM was extracted from human whole blood using the previously mentioned method [60]. The blood was extracted from a healthy 25-year-old male. Extracted blood was stored in an EDTA vacutainer and then immediately stored in the refrigerator. To extract the erythrocytes from the blood, the blood was centrifuged at 200× g for 5 min and washed three times with 1× PBS. Next, to lyse the erythrocytes, they were diluted 1:3 in a cold hypotonic solution (0.25× PBS) and stored in the refrigerator for 1 h. Then, to obtain pure EM, they were centrifuged under specific conditions (10,000× g, 1 h, and 4 °C) and washed 3 times with 1× PBS. The obtained clear ruby-colored EM was stored in a freezer (−80 °C). Before use, each EM solution was diluted with DW, and then sonicated and vortexed for 5 min.

2.4. EM Functionalization

Several steps were taken to functionalize the EM in the device. First, a liquid blocker was coated only on the base of the AFM probe (PR-T190) and dried at 23 °C for 5 min. Coating the base with a liquid blocker allows the EM to selectively functionalize only on the MC surface. Specifically, the MCs were functionalized by slowly pipetting 60 μL of EM solution (1%) and washing them 100 times to resolve EM residues.

2.5. Theory

The MC’s resonance frequency (ω) in dry air follows the elastic continuum model [61].
ω = β L M C 2 E I ρ M C A K M C M M C
where LMC, EI, ρMC, A, KMC, and MMC are the MC’s length, bending rigidity, density, cross-sectional area, the MC’s effective stiffness, and the MC’s effective mass, respectively. In detail, KMC = β4EI/LMC3 and MMC = ρMCA. The β satisfies the transcendental equation such that cosβcoshβ + 1 = 0. Here, the dimensions of the MC are given by LMC × WMC × TMC (length × width × thickness), where LMC = 215 μm, WMC = 37.5 μm, and TMC = 8 μm. Following this equation, our MC’s ω is 149.54 kHz. The average of ω was experimentally obtained to be 153.25 ± 1.58 kHz. This shows that our MC satisfies the elastic continuum model. Because the TMC of the MC is much larger than that of the molecular layer, the mass is the main factor causing the resonant frequency shift (Δω) [62]. Therefore, in our experiments, the IgM molecule is responsible for increasing the mass. This can be expressed in terms of the Δω in the air as follows:
Δ ω = ω ω 0 Δ M M M C M M C 0
where Δω is the resonant frequency shift measured in air, and ΔM is the total mass of the molecule, including molecular interactions. The EMMC can detect IgM using this Δω.

2.6. Measurement of Immunoglobulin by EMMC

For the IgM detection, various concentrations of IgM solution (60 μL) were dispensed on to the EMMC. Afterward, the EMMC was shaken at 60 rpm for two hours at 23 °C. The IgM-bound EMMC was carefully washed with PBS and fully dried. The EMMC’s ω was measured through frequency sweeping (see Section 2.2).

3. Results and Discussion

3.1. EMMC Fabrication

During the EM functionalization process, it is difficult to coat only the MC surface and not the MC base. To solve this problem, scientists use microinjection or microcapillary technology, which is considered to be a major limitation in the mass production of EMMCs [63,64]. To prevent the unwanted coating of EM on the base surface, we coated the surface of the base with a liquid blocker, which is a hydrophobic matter (Figure 2a,b). Basically, EM functionalization is only possible on the MC surface due to the liquid barrier coated on the base part. To confirm whether the liquid blocker affects the ω of the MC, we compared the ω of the MC before and after the liquid blocker coating was applied. The ω of the MC with the liquid-blocker-coated base was slightly different from that of the bare MC. Subsequently, EM was functionalized on the MC. In order to fabricate the EMMC, it is important to coat only a single layer of the EM on the MC surface. The two variables of EM concentration and the number of washes are very important. If high EM concentration was treated on the bare MC, the number of washes of the EMMC should be increased to remove excessive EM residues. These variables will depend on the type of materials and the shape of the MC. We can only describe the conditions for fabricating an EMMC based on the MC (PR-T190, Probes, Korea): agitate 100 times by repetitively pipetting with 1% EM solution (60 μL), and subsequently wash 100 times. As shown in Figure 2c, the EMMC shows distinctly functionalized EM compared to the bare MC.
To investigate how much Δω occurs due to EM coating, the MC’s ω was measured before and after the EM coating was applied. The ω for the bare MCs and the EMMCs are 153.25 ± 1.58 and 153.06 ± 1.56 kHz (mean ± standard deviation); a 0.17 ± 0.06 kHz decrease was observed after EM functionalization on the MC surface (Figure 3a,b). Based on Equation (2) above, a 0.17 ± 0.06 kHz shift indicates that the weight of the EM coated on the MC was about 35.5 pg. Additionally, the Gaussian distribution of the histogram for Δω (Figure 3b) implies that the EM was uniformly functionalized during the EMMC fabrication.

3.2. Immunoglobulin Detection and Selectivity Test Using EMMC Sensor

To check the performance of the EMMC in IgM detection, we treated it with various IgM concentrations (2.2 pM–22 nM) dissolved in 1× PBS (pH 7.4). Here, Δω is the difference in ω between the IgM-bound EMMC and the bare EMMC. As shown in Figure 4, the Δω values were 0.09, 0.16, 0.20, 0.26, and 0.31 kHz, as a function of IgM concentration (2.2 pM–22 nM). This suggests that IgM binds proportionally to antigens present on the EM surface. This plot also shows that Δω and log(IgM) are linearly related. The analyzed semi-log regression analysis was ‘Δω = 0.05 × log(X) + 0.08′, and the limit of detection (LOD) calculated as 3.3 × (σ/S) was 2.04 pM. The σ is the standard deviation of the response, and S is the slope of the linear fit. According to Equation (2), 2.04 pM LOD corresponds to 17.32 pg IgM, which can be considered the resolution of the EMMC in IgM detection (Table S1).
To check the selectivity of our EMMC, we considered different types of antigens. A human blood type is determined by the type of antigen present on the surface of the erythrocytes. Blood type A contains antigens only (Type A), whereas blood type B contains antigens (Type B) only on erythrocytes. Therefore, type B erythrocytes do not interact with IgM (Anti-A) and bind selectively to IgM (Anti-B). Note that our EMMC was fabricated with erythrocytes from blood type B. The selectivity of the EMMC sensor was verified by measuring high concentrations of major proteins present in the blood, such as IgM (Anti-A), HSA, and γ-globulin [59]. The treated IgM (Anti-A) concentration was 22 nM, and the amounts of HSA and γ-globulin were 0.1 mg/mL. The Δω values of the EMMC treated with IgM (Anti-A), HSA, and γ-globulin were 0.05 ± 0.01, 0.05 ± 0.03, and 0.05 ± 0.02 kHz, respectively (Figure 5a). The intensities of Δω for IgM (Anti-A), HSA, and γ-globulin normalized by Δω values in the IgM (Anti-B) condition were 14.79 ± 3.05, 14.90 ± 9.04, and 17.17 ± 6.41%, respectively (Figure 5b). These results suggest that the EMMC has high selectivity and distinguishes IgM (Anti-B) from other types of IgM and blood proteins.

3.3. EM Exfoliation at High IgM Concentration

We investigated the detection ability of the EMMC at high IgM concentrations. Interestingly, the ω of the EMMC decays sharply at high concentrations of IgM (>220 nM) and remains almost unchanged. Specifically, the Δω of EMMCs exposed to 220 nM and 22 μM IgM were 0.07 ± 0.04 and 0.05 ± 0.03. This implies that the EMMC will normally operate below 22 nM IgM, but may malfunction above 220 nM (Figure 6a). This happens when EM detachment occurs due to large amounts of IgM being bound to the EM, similar to hemolysis by IgM. To confirm this, the surface of the EMMC was observed through an optical microscope. While comparing the EMMC surfaces before and after high concentrations of IgM were introduced, and we found that some of the EM peeled off from the MC surface (Figure 6b). Moreover, these differences were clearly visible in the fluorescence micrographs (Figure 6c). From these results, it is reasonable to say that high concentrations of IgM can partially remove the EM from the EMMC. This may be due to the structure of IgM, a pentamer characterized by 10 binding sites. As the amount of IgM bound to the EMMC increases, the mechanical stress applied to the EM increases, which eventually leads to the delamination of the EM. This exfoliation effect may help better understand the mechanical properties of cell membranes, including EM. Cell membrane-functionalized MCs, which enable the study of the destruction mechanism of the cell membranes by bound molecules, can also be taken as an example, which may aid a better understanding of various necrosis-induced diseases. In addition, studies are needed to stably coat EMs on MC surfaces via various methods other than physical adsorption (e.g., covalent bonding). This is indeed challenging and would be a desirable research theme for future work.

3.4. IgM Detection in Human Serum

To investigate the practicality of EMMC, the IgM assay based on human serum was performed using the EMMC. Type B IgM was spiked into the human serum at concentrations around 0–22 nM, which was identical to the range used in the bioassay that was completed with PBS (Figure 4). IgM dissolved in the human serum was detected by the EMMC, and the result showed a linear relationship between Δω and IgM concentration (0–22 nM) under a semi-logarithmic scale (Figure 7). This result implied that high-sensitivity IgM detection is doable using the EMMC even in the use of real sample which contains a lot of interfering molecules such as albumin, glucose, urea, creatinine, and so on. By utilizing the EMMC for IgM detection, it will be able to diagnose the individual immune strength and to evaluate the vaccine efficiency based on neutralizing antibody level in various body fluids. For a further study, the EMMC will be capable of evaluating the designing and binding efficiency of synthetic antibodies, antiviral agents and disinfectants.

4. Conclusions

We have developed a nanomechanical resonator sensor called EMMC. The EM was uniformly and stably functionalized on the MC surface to achieve ultra-sensitive IgM detection. The linear detection ranges and LOD of the EMMCs for IgM detection were 2.2 pM–22 nM and 2.0 pM IgM. In addition, we confirmed that the EMMC has excellent selectivity through exposure to IgM (Anti-A), HSA, and γ-globulin. Our results prove that the EMMCs are highly sensitive and can selectively detect antibodies with a simple procedure and a label-free method. Although the EMMC successfully detected IgM in PBS and serum, further investigation is required for IgM detection in patient samples. We expect that our approach to EMMC fabrication and biosensing performance will shed light on the development of highly sensitive and selective label-free biosensors capable of detecting target molecules by single-step cell membrane functionalization.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ma15217738/s1, Table S1. Comparison of various methods for IgM detection with our work. References [65,66,67,68,69] are cited in the Supplementary Materials.

Author Contributions

Conceptualization, T.L. and W.K.; methodology, T.L. and W.K.; validation, T.L. and W.K.; data curation, T.L. and W.K.; writing—original draft preparation, T.L. and W.K.; writing—review and editing, J.P. and G.L.; visualization, T.L. and W.K.; supervision, J.P. and G.L.; All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Research Foundation of Korea grant supported by the Korean government (NRF-2021R1A4A1028969, NRF-2022R1F1A1074900, and NRF-2020R1A2C2102262). This work was supported by a Korea Medical Device Development Fund (KMDF) grant received from the Korean government (MSIP) (No. KMDF_PR_20200901_0127). This study was also supported by a Korea University Grant. This research was carried out with the support of the South Korea Environment Industry and Technology Institute through its Ecological Imitation-Based Environmental Pollution Management Technology Development Project and funded by the South Korea Ministry of Environment (2019002800009).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available on request due to restrictions, e.g., privacy or ethical.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Burton, D.R. Immunoglobulin G: Functional sites. Mol. Immunol. 1985, 22, 161–206. [Google Scholar] [CrossRef]
  2. Kaetzel, C.S. The polymeric immunoglobulin receptor: Bridging innate and adaptive immune responses at mucosal surfaces. Immunol. Rev. 2005, 206, 83–99. [Google Scholar] [CrossRef] [PubMed]
  3. Woof, J.M.; Kerr, M.A. The function of immunoglobulin A in immunity. J. Pathol. 2006, 208, 270–282. [Google Scholar] [CrossRef] [Green Version]
  4. Chen, K.; Cerutti, A. The function and regulation of immunoglobulin D. Curr. Opin. Immunol. 2011, 23, 345–352. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Mix, E.; Goertsches, R.; Zett, U.K. Immunoglobulins—Basic considerations. J. Neurol. 2006, 253, v9–v17. [Google Scholar] [CrossRef] [PubMed]
  6. Schroeder, H.W.; Cavacini, L. Structure and function of immunoglobulins. J. Allergy Clin. Immunol. 2010, 125 (Suppl. 2), S41–S52. [Google Scholar] [CrossRef] [Green Version]
  7. Chothia, C.; Lesk, A.M.; Tramontano, A.; Levitt, M.; Smith-Gill, S.J.; Air, G.; Sheriff, S.; Padlan, E.A.; Davies, D.; Tulip, W.R.; et al. Conformations of immunoglobulin hypervariable regions. Nature 1989, 342, 877–883. [Google Scholar] [CrossRef]
  8. Grönwall, C.; Vas, J.; Silverman, G. Protective Roles of Natural IgM Antibodies. Front. Immunol. 2012, 3, 66. [Google Scholar] [CrossRef] [Green Version]
  9. Grönwall, C.; Silverman, G.J. Natural IgM: Beneficial Autoantibodies for the Control of Inflammatory and Autoimmune Disease. J. Clin. Immunol. 2014, 34, 12–21. [Google Scholar] [CrossRef] [Green Version]
  10. Lin, Q.; Wen, D.; Wu, J.; Liu, L.; Wu, W.; Fang, X.; Kong, J. Microfluidic Immunoassays for Sensitive and Simultaneous Detection of IgG/IgM/Antigen of SARS-CoV-2 within 15 min. Anal. Chem. 2020, 92, 9454–9458. [Google Scholar] [CrossRef]
  11. Griffin, I.; Martin, S.W.; Fischer, M.; Chambers, T.V.; Kosoy, O.; Falise, A.; Ponomareva, O.; Gillis, L.D.; Blackmore, C.; Jean, R. Zika Virus IgM Detection and Neutralizing Antibody Profiles 12–19 Months after Illness Onset. Emerg. Infect. Dis. 2019, 25, 299–303. [Google Scholar] [CrossRef] [PubMed]
  12. Løset, G.Å.; Roux, K.H.; Zhu, P.; Michaelsen, T.E.; Sandlie, I. Differential Segmental Flexibility and Reach Dictate the Antigen Binding Mode of Chimeric IgD and IgM: Implications for the Function of the B Cell Receptor. J. Immunol. 2004, 172, 2925–2934. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Stussi, G.; Huggel, K.; Lutz, H.U.; Schanz, U.; Rieben, R.; Seebach, J.D. Isotype-specific detection of ABO blood group antibodies using a novel flow cytometric method. Br. J. Haematol. 2005, 130, 954–963. [Google Scholar] [CrossRef] [PubMed]
  14. Tate, J.; Ward, G. Interferences in immunoassay. Clin. Biochem. Rev. 2004, 25, 105–120. [Google Scholar] [PubMed]
  15. Schuurs, A.H.W.M.; Van Weemen, B.K. Enzyme-immunoassay. Clin. Chim. Acta 1977, 81, 1–40. [Google Scholar] [CrossRef]
  16. Banerjee, R.; Jaiswal, A. Recent advances in nanoparticle-based lateral flow immunoassay as a point-of-care diagnostic tool for infectious agents and diseases. Analyst 2018, 143, 1970–1996. [Google Scholar] [CrossRef]
  17. Pettersson Bergstrand, M.; Helander, A.; Hansson, T.; Beck, O. Detectability of designer benzodiazepines in CEDIA, EMIT II Plus, HEIA, and KIMS II immunochemical screening assays. Drug Test. Anal. 2017, 9, 640–645. [Google Scholar] [CrossRef]
  18. Yadav, S.; Sadique, M.A.; Ranjan, P.; Kumar, N.; Singhal, A.; Srivastava, A.K.; Khan, R. SERS Based Lateral Flow Immunoassay for Point-of-Care Detection of SARS-CoV-2 in Clinical Samples. ACS Appl. Bio Mater. 2021, 4, 2974–2995. [Google Scholar] [CrossRef]
  19. Mahmood, T.; Yang, P.C. Western blot: Technique, theory, and trouble shooting. N. Am. J. Med. Sci. 2012, 4, 429–434. [Google Scholar]
  20. Lequin, R.M. Enzyme Immunoassay (EIA)/Enzyme-Linked Immunosorbent Assay (ELISA). Clin. Chem. 2005, 51, 2415–2418. [Google Scholar] [CrossRef] [Green Version]
  21. Sugimura, T.; Kajimoto, S.; Nakabayashi, T. Label-Free Imaging of Intracellular Temperature by Using the O−H Stretching Raman Band of Water. Angew. Chem. Int. Ed. 2020, 59, 7755–7760. [Google Scholar] [CrossRef] [PubMed]
  22. Durnez, L.; Van Bortel, W.; Denis, L.; Roelants, P.; Veracx, A.; Trung, H.D.; Sochantha, T.; Coosemans, M. False positive circumsporozoite protein ELISA: A challenge for the estimation of the entomological inoculation rate of malaria and for vector incrimination. Malar. J. 2011, 10, 195. [Google Scholar] [CrossRef] [Green Version]
  23. Garrote, B.L.; Santos, A.; Bueno, P.R. Perspectives on and Precautions for the Uses of Electric Spectroscopic Methods in Label-free Biosensing Applications. ACS Sens. 2019, 4, 2216–2227. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Liang, Y.; Guo, T.; Zhou, L.; Offenhäusser, A.; Mayer, D. Label-Free Split Aptamer Sensor for Femtomolar Detection of Dopamine by Means of Flexible Organic Electrochemical Transistors. Materials 2020, 13, 2577. [Google Scholar] [CrossRef] [PubMed]
  25. Hou, T.; Li, W.; Liu, X.; Li, F. Label-Free and Enzyme-Free Homogeneous Electrochemical Biosensing Strategy Based on Hybridization Chain Reaction: A Facile, Sensitive, and Highly Specific MicroRNA Assay. Anal. Chem. 2015, 87, 11368–11374. [Google Scholar] [CrossRef] [PubMed]
  26. Svigelj, R.; Zuliani, I.; Grazioli, C.; Dossi, N.; Toniolo, R. An Effective Label-Free Electrochemical Aptasensor Based on Gold Nanoparticles for Gluten Detection. Nanomater 2022, 12, 987. [Google Scholar] [CrossRef]
  27. Xu, H.; Song, Y.; Zhu, P.; Zhao, W.; Liu, T.; Wang, Q.; Zhao, T. Alcohol Sensor Based on Surface Plasmon Resonance of ZnO Nanoflowers/Au Structure. Materials 2022, 15, 189. [Google Scholar] [CrossRef]
  28. Sarcina, L.; Macchia, E.; Loconsole, G.; D’Attoma, G.; Saldarelli, P.; Elicio, V.; Palazzo, G.; Torsi, L. Surface Plasmon Resonance Assay for Label-Free and Selective Detection of Xylella Fastidiosa. Adv. NanoBiomed Res. 2021, 1, 2100043. [Google Scholar] [CrossRef]
  29. Mahmoodi, S.R.; Xie, P.; Zachs, D.P.; Peterson, E.J.; Graham, R.S.; Kaiser, C.R.W.; Lim, H.H.; Allen, M.G.; Javanmard, M. Single-step label-free nanowell immunoassay accurately quantifies serum stress hormones within minutes. Sci. Adv. 2021, 7, eabf4401. [Google Scholar] [CrossRef]
  30. Seo, Y.; Jeong, S.; Lee, J.; Choi, H.S.; Kim, J.; Lee, H. Innovations in biomedical nanoengineering: Nanowell array biosensor. Nano Converg. 2018, 5, 9. [Google Scholar] [CrossRef]
  31. Mahmoodi, S.R.; Xie, P.; Allen, M.; Javanmard, M. Multiwell Plate Impedance Analysis of a Nanowell Array Sensor for Label-Free Detection of Cytokines in Mouse Serum. IEEE Sens. Lett. 2020, 4, 4500104. [Google Scholar] [CrossRef]
  32. Guo, Y.; Pan, X.; Zhang, W.; Hu, Z.; Wong, K.-W.; He, Z.; Li, H.-W. Label-free probes using DNA-templated silver nanoclusters as versatile reporters. Biosens. Bioelectron. 2020, 150, 111926. [Google Scholar] [CrossRef] [PubMed]
  33. Peltomaa, R.; Glahn-Martínez, B.; Benito-Peña, E.; Moreno-Bondi, M.C. Optical Biosensors for Label-Free Detection of Small Molecules. Sensors 2018, 18, 4126. [Google Scholar] [CrossRef] [Green Version]
  34. Wang, J.; Pinkse, P.W.H.; Segerink, L.I.; Eijkel, J.C.T. Bottom-Up Assembled Photonic Crystals for Structure-Enabled Label-Free Sensing. ACS Nano 2021, 15, 9299–9327. [Google Scholar] [CrossRef] [PubMed]
  35. Thomas, G.; Spitzer, D. 3D Core–Shell TiO2@MnO2 Nanorod Arrays on Microcantilevers for Enhancing the Detection Sensitivity of Chemical Warfare Agents. ACS Appl. Mater. Interfaces 2021, 13, 47185–47197. [Google Scholar] [CrossRef] [PubMed]
  36. Cohen, L.; Walt, D.R. Highly Sensitive and Multiplexed Protein Measurements. Chem. Rev. 2019, 119, 293–321. [Google Scholar] [CrossRef]
  37. Li, C.; Zhang, G.; Wu, S.; Zhang, Q. Aptamer-based microcantilever-array biosensor for profenofos detection. Anal. Chim. Acta 2018, 1020, 116–122. [Google Scholar] [CrossRef]
  38. Cooper, O.; Phan, H.-P.; Fitzpatrick, T.; Dinh, T.; Huang, H.; Nguyen, N.-T.; Tiralongo, J. Picomolar detection of carbohydrate-lectin interactions on piezoelectrically printed microcantilever array. Biosens. Bioelectron. 2022, 205, 114088. [Google Scholar] [CrossRef]
  39. Gupta, A.; Akin, D.; Bashir, R. Single virus particle mass detection using microresonators with nanoscale thickness. Appl. Phys. Lett. 2004, 84, 1976–1978. [Google Scholar] [CrossRef]
  40. Longo, G.; Alonso-Sarduy, L.; Rio, L.M.; Bizzini, A.; Trampuz, A.; Notz, J.; Dietler, G.; Kasas, S. Rapid detection of bacterial resistance to antibiotics using AFM cantilevers as nanomechanical sensors. Nat. Nanotechnol. 2013, 8, 522–526. [Google Scholar] [CrossRef]
  41. Kasas, S.; Ruggeri, F.S.; Benadiba, C.; Maillard, C.; Stupar, P.; Tournu, H.; Dietler, G.; Longo, G. Detecting nanoscale vibrations as signature of life. Proc. Natl. Acad. Sci. USA 2015, 112, 378–381. [Google Scholar] [CrossRef] [PubMed]
  42. Bennett, I.; Pyne, A.L.B.; McKendry, R.A. Cantilever Sensors for Rapid Optical Antimicrobial Sensitivity Testing. ACS Sens. 2020, 5, 3133–3139. [Google Scholar] [CrossRef] [PubMed]
  43. Li, C.; Ma, X.; Guan, Y.; Tang, J.; Zhang, B. Microcantilever Array Biosensor for Simultaneous Detection of Carcinoembryonic Antigens and α-Fetoprotein Based on Real-Time Monitoring of the Profile of Cantilever. ACS Sens. 2019, 4, 3034–3041. [Google Scholar] [CrossRef]
  44. Lee, G.; Eom, K.; Park, J.; Yang, J.; Haam, S.; Huh, Y.-M.; Ryu, J.K.; Kim, N.H.; Yook, J.I.; Lee, S.W.; et al. Real-Time Quantitative Monitoring of Specific Peptide Cleavage by a Proteinase for Cancer Diagnosis. Angew. Chem. Int. Ed. 2012, 51, 5837–5841. [Google Scholar] [CrossRef] [PubMed]
  45. Kosaka, P.M.; Tamayo, J.; Ruz, J.J.; Puertas, S.; Polo, E.; Grazu, V.; de la Fuente, J.M.; Calleja, M. Tackling reproducibility in microcantilever biosensors: A statistical approach for sensitive and specific end-point detection of immunoreactions. Analyst 2013, 138, 863–872. [Google Scholar] [CrossRef] [Green Version]
  46. Park, J.; Bang, D.; Jang, K.; Kim, E.; Haam, S.; Na, S. Multimodal label-free detection and discrimination for small molecules using a nanoporous resonator. Nat. Commun. 2014, 5, 3456. [Google Scholar] [CrossRef] [Green Version]
  47. Wang, Y.; Rao, D.; Wu, X.; Zhang, Q.; Wu, S. Aptamer-based microcantilever-array biosensor for ultra-sensitive and rapid detection of okadaic acid. Microchem. J. 2021, 160, 105644. [Google Scholar] [CrossRef]
  48. Kosaka, P.M.; Pini, V.; Ruz, J.J.; da Silva, R.A.; González, M.U.; Ramos, D.; Calleja, M.; Tamayo, J. Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor. Nat. Nanotechnol. 2014, 9, 1047–1053. [Google Scholar] [CrossRef]
  49. Arlett, J.L.; Myers, E.B.; Roukes, M.L. Comparative advantages of mechanical biosensors. Nat. Nanotechnol. 2011, 6, 203–215. [Google Scholar] [CrossRef] [Green Version]
  50. Garratty, G. Immune Hemolytic Anemia Associated with Negative Routine Serology. Semin. Hematol. 2005, 42, 156–164. [Google Scholar] [CrossRef]
  51. Semple, J.W.; Freedman, J. Autoimmune Pathogenesis and Autoimmune Hemolytic Anemia. Semin. Hematol. 2005, 42, 122–130. [Google Scholar] [CrossRef] [PubMed]
  52. Risinger, M.; Kalfa, T.A. Red cell membrane disorders: Structure meets function. Blood 2020, 136, 1250–1261. [Google Scholar] [CrossRef] [PubMed]
  53. Kim, I.; Lee, D.; Lee, S.W.; Lee, J.H.; Lee, G.; Yoon, D.S. Coagulation-Inspired Direct Fibrinogen Assay Using Plasmonic Nanoparticles Functionalized with Red Blood Cell Membranes. ACS Nano 2021, 15, 6386–6394. [Google Scholar] [CrossRef] [PubMed]
  54. Jo, S.; Kim, I.; Lee, W.; Kim, M.; Park, J.; Lee, G.; Yoon, D.S.; Park, J. Highly sensitive and wide-range nanoplasmonic detection of fibrinogen using erythrocyte membrane-blanketed nanoparticles. Biosens. Bioelectron. 2019, 135, 216–223. [Google Scholar] [CrossRef]
  55. Kim, I.; Kim, C.; Lee, D.; Lee, S.W.; Lee, G.; Yoon, D.S. A bio-inspired highly selective enzymatic glucose sensor using a red blood cell membrane. Analyst 2020, 145, 2125–2132. [Google Scholar] [CrossRef]
  56. Kim, I.; Kwon, D.; Lee, D.; Lee, G.; Yoon, D.S. Permselective glucose sensing with GLUT1-rich cancer cell membranes. Biosens. Bioelectron. 2019, 135, 82–87. [Google Scholar] [CrossRef]
  57. Kim, I.; Kim, Y.I.; Lee, S.W.; Jung, H.G.; Lee, G.; Yoon, D.S. Highly permselective uric acid detection using kidney cell membrane–functionalized enzymatic biosensors. Biosens. Bioelectron. 2021, 190, 113411. [Google Scholar] [CrossRef]
  58. Kim, I.; Kwon, D.; Lee, D.; Lee, T.H.; Lee, J.H.; Lee, G.; Yoon, D.S. A highly permselective electrochemical glucose sensor using red blood cell membrane. Biosens. Bioelectron. 2018, 102, 617–623. [Google Scholar] [CrossRef]
  59. Park, J.; Lee, W.; Kim, I.; Kim, M.; Jo, S.; Kim, W.; Park, H.; Lee, G.; Choi, W.; Yoon, D.S.; et al. Ultrasensitive detection of fibrinogen using erythrocyte membrane-draped electrochemical impedance biosensor. Sens. Actuators B Chem. 2019, 293, 296–303. [Google Scholar] [CrossRef]
  60. Lee, T.; Kim, I.; Cheong, D.Y.; Roh, S.; Jung, H.G.; Lee, S.W.; Kim, H.S.; Yoon, D.S.; Hong, Y.; Lee, G. Selective colorimetric urine glucose detection by paper sensor functionalized with polyaniline nanoparticles and cell membrane. Anal. Chim. Acta 2021, 1158, 338387. [Google Scholar] [CrossRef]
  61. Braun, T.; Barwich, V.; Ghatkesar, M.K.; Bredekamp, A.H.; Gerber, C.; Hegner, M.; Lang, H.P. Micromechanical mass sensors for biomolecular detection in a physiological environment. Phys. Rev. E 2005, 72, 031907. [Google Scholar] [CrossRef]
  62. Gupta, A.K.; Nair, P.R.; Akin, D.; Ladisch, M.R.; Broyles, S.; Alam, M.A.; Bashir, R. Anomalous resonance in a nanomechanical biosensor. Proc. Natl. Acad. Sci. USA 2006, 103, 13362–13367. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Schulze, R.; Heinrich, M.; Nossol, P.; Forke, R.; Sborikas, M.; Tsapkolenko, A.; Billep, D.; Wegener, M.; Kroll, L.; Gessner, T. Piezoelectric P(VDF-TrFE) transducers assembled with micro injection molded polymers. Sens. Actuators A Phys. 2014, 208, 159–165. [Google Scholar] [CrossRef]
  64. Knowles, T.P.J.; Shu, W.; Huber, F.; Lang, H.P.; Gerber, C.; Dobson, C.M.; Welland, M.E. Label-free detection of amyloid growth with microcantilever sensors. Nanotechnology 2008, 19, 384007. [Google Scholar] [CrossRef]
  65. Ortega, G.A.; Zuaznabar-Gardona, J.C.; Reguera, E. Electrochemical immunoassay for the detection of IgM antibodies using polydopamine particles loaded. Biosens. Bioelectron. 2018, 116, 30–36. [Google Scholar] [CrossRef]
  66. Zhang, Z.; Wang, X.; Wei, X.; Zheng, S.W.; Lenhart, B.J.; Xu, P.; Li, J.; Pan, J.; Albrecht, H.; Liu, C. Multiplex quantitative detection of SARS-CoV-2 specific IgG and IgM antibodies based on DNA-assisted. Biosens. Bioelectron. 2021, 181, 113134. [Google Scholar] [CrossRef]
  67. Bereli, N.; Bakhshpour, M.; Topçu, A.A.; Denizli, A. Surface Plasmon Resonance-Based Immunosensor for Igm Detection with Gold Nanoparticles. Micromachines 2021, 12, 1092. [Google Scholar] [CrossRef]
  68. Liu, Z.; Yin, Z.-Z.; Zheng, G.; Zhang, H.; Zhou, M.; Li, S.; Kong, Y. Dual-template molecularly imprinted electrochemical biosensor for IgG-IgM combined assay based on a dual-signal strategy. Bioelectrochemistry 2022, 148, 108267. [Google Scholar] [CrossRef] [PubMed]
  69. Wang, Z.; Zheng, Z.; Hu, H.; Zhou, Q.; Liu, W.; Li, X.; Liu, Z.; Wang, Y.; Ma, Y. A point-of-care selenium nanoparticle-based test for the combined detection of anti-SARS-CoV-2 IgM and IgG in human serum and blood. Lab Chip 2020, 20, 4255–4261. [Google Scholar] [CrossRef]
Figure 1. Schematic illustration of (a) hemolysis of erythrocyte due to high concentration of IgM and (b) the EMMC fabrication process. The base and MC are shown in gray, the liquid blocker in yellow, and the EM in red. (c) EMMC illustration and Δω at low and high concentrations of IgM.
Figure 1. Schematic illustration of (a) hemolysis of erythrocyte due to high concentration of IgM and (b) the EMMC fabrication process. The base and MC are shown in gray, the liquid blocker in yellow, and the EM in red. (c) EMMC illustration and Δω at low and high concentrations of IgM.
Materials 15 07738 g001
Figure 2. Schematic illustration and microscopic images (top view) of (a) bare MC, (b) bare MC with liquid-blocker-coated base, and (c) EM-functionalized microcantilever (EMMC). Liquid-blocker-coated base and EMMC are shown in yellow and red, respectively. Scale bar, 50 μm.
Figure 2. Schematic illustration and microscopic images (top view) of (a) bare MC, (b) bare MC with liquid-blocker-coated base, and (c) EM-functionalized microcantilever (EMMC). Liquid-blocker-coated base and EMMC are shown in yellow and red, respectively. Scale bar, 50 μm.
Materials 15 07738 g002
Figure 3. (a) ω before and after EM coating on the MC surface. (b) Histogram of Δω between bare MCs and EMMCs. **** p < 0.0001; (n = 66) Abbreviation note: erythrocyte membrane (EM), and standard deviation (SD).
Figure 3. (a) ω before and after EM coating on the MC surface. (b) Histogram of Δω between bare MCs and EMMCs. **** p < 0.0001; (n = 66) Abbreviation note: erythrocyte membrane (EM), and standard deviation (SD).
Materials 15 07738 g003
Figure 4. (a) Schematic illustration of IgM assay using the EMMC. (b) Δω and mass of EMMC as a function of IgM concentration. The dotted line indicates the value of Δω and mass of the control experiment. For each IgM concentration, a triplicate measurement was performed.
Figure 4. (a) Schematic illustration of IgM assay using the EMMC. (b) Δω and mass of EMMC as a function of IgM concentration. The dotted line indicates the value of Δω and mass of the control experiment. For each IgM concentration, a triplicate measurement was performed.
Materials 15 07738 g004
Figure 5. Selectivity of the EMMC. (a) Δω and (b) normalized Δω of the EMMC with interfering proteins. The selectivity test of EMMC with nonspecific IgM (Anti-A) and other interfering proteins (i.e., γ-Globulin and human serum albumin (HSA)). The IgM (Anti-B) and IgM (Anti-A) level was 22 nM, and the concentrations of all other interfering proteins were the same (0.1 mg/mL).
Figure 5. Selectivity of the EMMC. (a) Δω and (b) normalized Δω of the EMMC with interfering proteins. The selectivity test of EMMC with nonspecific IgM (Anti-A) and other interfering proteins (i.e., γ-Globulin and human serum albumin (HSA)). The IgM (Anti-B) and IgM (Anti-A) level was 22 nM, and the concentrations of all other interfering proteins were the same (0.1 mg/mL).
Materials 15 07738 g005
Figure 6. (a) Δω according to the low (2.2 pM–22 nM, gray) and high IgM concentration (220 nM–22 μM, red). (b) Microscopic and (c) fluorescence images before and after high-concentration IgM (220 nM) binding with the EMMC. For each IgM concentration, a triplicate measurement was performed. Scale bar, 10 μm.
Figure 6. (a) Δω according to the low (2.2 pM–22 nM, gray) and high IgM concentration (220 nM–22 μM, red). (b) Microscopic and (c) fluorescence images before and after high-concentration IgM (220 nM) binding with the EMMC. For each IgM concentration, a triplicate measurement was performed. Scale bar, 10 μm.
Materials 15 07738 g006
Figure 7. Δω of EMMC as a function of IgM concentration in human serum. The dotted line indicates the value of Δω for the control experiment (i.e., serum only). For each IgM concentration, a triplicate measurement was performed; they are plotted as mean ± standard deviation.
Figure 7. Δω of EMMC as a function of IgM concentration in human serum. The dotted line indicates the value of Δω for the control experiment (i.e., serum only). For each IgM concentration, a triplicate measurement was performed; they are plotted as mean ± standard deviation.
Materials 15 07738 g007
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lee, T.; Kim, W.; Park, J.; Lee, G. Hemolysis-Inspired, Highly Sensitive, Label-Free IgM Detection Using Erythrocyte Membrane-Functionalized Nanomechanical Resonators. Materials 2022, 15, 7738. https://doi.org/10.3390/ma15217738

AMA Style

Lee T, Kim W, Park J, Lee G. Hemolysis-Inspired, Highly Sensitive, Label-Free IgM Detection Using Erythrocyte Membrane-Functionalized Nanomechanical Resonators. Materials. 2022; 15(21):7738. https://doi.org/10.3390/ma15217738

Chicago/Turabian Style

Lee, Taeha, Woong Kim, Jinsung Park, and Gyudo Lee. 2022. "Hemolysis-Inspired, Highly Sensitive, Label-Free IgM Detection Using Erythrocyte Membrane-Functionalized Nanomechanical Resonators" Materials 15, no. 21: 7738. https://doi.org/10.3390/ma15217738

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop