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MINI REVIEW article

Front. Bioeng. Biotechnol., 28 March 2022
Sec. Bionics and Biomimetics
This article is part of the Research Topic Bioinspired Superwettable Materials from Design, Fabrication to Application View all 18 articles

Superwettable Biosensor for Disease Biomarker Detection

\r\nYun Jun YangYun Jun Yang1 \r\nZhong Feng Gao\r\n
Zhong Feng Gao 2*
  • 1 Advanced Research Institute for Multidisciplinary Science, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
  • 2 Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Bioinspired superwettable materials have aroused wide interests in recent years for their promising application fields from service life to industry. As one kind of emerging application, the superwettable surfaces used to fabricate biosensors for the detection of disease biomarkers, especially tumor biomarkers, have been extensively studied. In this mini review, we briefly summarized the sensing strategy for disease biomarker detection based on superwettable biosensors, including fluorescence, electrochemistry, surface-enhanced Raman scattering, and visual assays. Finally, the challenges and direction for future development of superwettable biosensors are also discussed.

Introduction

The detection of potential disease biomarkers in patient samples is an important factor for screening and early diagnosis of diseases, such as cancer (Karachaliou et al., 2015; Wu and Qu, 2015). The abnormal expression of genes, proteins, tumor-related mRNA, exosomes, and circulating tumor cells is closely associated with the occurrence of tumor and has been generally considered specific biomarkers to evaluate the development stage of cancer (Hanahan and Weinberg, 2000; Meng et al., 2021). Recently, tremendous efforts in the field of the disease biomarker biosensing method provide rich diagnostic and prognostic information for disease management (Seferos et al., 2007; Gong et al., 2021; Liu et al., 2022). Among them, the use of superwettable property-based biosensors is an emerging research field. Superwettable surfaces, such as lotus leaf-inspired superhydrophobic surface, Namib Desert beetles-inspired patterned superwettable surface, and Nepenthes pitcher plant-inspired slippery surface, are commonly used for the development of novel superwettable biosensors. These bioinspired surfaces exert unique liquid-repellent performance with large contact angle, decreasing the contact area between the droplet and surface (Dong et al., 2018; Sun et al., 2021). The remarkable wetting behavior brings several merits, such as remarkable evaporation-enrichment effect and new insights into visual biosensing. Superhydrophobic and slippery surfaces provide an effective and simple strategy to concentrate the analyte inside the droplet and improve spot homogeneity, promising for the fabrication of sensitive biosensor. The patterned superwettable surface has the feature to anchor the droplet, which holds the potential for the high-throughput biosensor.

It is reported that worldwide in vitro diagnostics market investments are growing every year, implying that biomedical diagnostic tools are playing key roles in disease diagnosis and human health assessment (Sassolas et al., 2008; Collins et al., 2021). The eventual aim of these endeavors is the development of point-of-care testing (POCT) devices with high selectivity, sensitivity, accuracy, and real-time detection for real sample analysis. Compared to the conventional methods using solution systems, the superwettable biosensing strategy used the droplet as the reaction system, which is promising for POCT applications due to their flexibility, easy-to-use, portability, and short sample processing time (Chen et al., 2020; He et al., 2021; Zhu et al., 2021). To realize this goal, researchers developed various versatile and robust superwettable biosensors that meet the requirement of clinical patient sample assays. In recent years, biosensing methods including fluorescence, electrochemical, surface-enhanced Raman scattering (SERS), colorimetry, and visual assays are widely employed in analytical chemistry. Integrations between these biosensing strategies and superwettable surfaces have been put forward by researchers in quest of biomarker detection.

In this mini review, we summarized the recent progress of biosensing applications based on bioinspired superwettable surfaces, such as superhydrophobic surfaces, patterned wettable surfaces, and slippery surfaces. Various detecting techniques, including fluorescence, electrochemical, SERS, colorimetric, and visual methods are combined, respectively, with different superwettable surfaces. The application in the field of biomarker detection is described in detail. By introducing the commonly used biosensing methods, such as fluorescence, electrochemistry, SERS, and visual assays, the superwettable biosensors have been demonstrated to be a useful platform in the field of disease biomarker detection (Figure 1). Finally, the highlights and challenges of superwettable biosensors for biomarker detection were discussed.

FIGURE 1
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FIGURE 1. Commonly used methods of superwettable biosensors for disease biomarker detection.

Different Types of Superwettable Biosensors

Fluorescence-Based Superwettable Biosensor

Fluorescent methods have attracted increasing attention because they do not require costly or sophisticated equipment and have been widely used in portable, in situ, and rapid detection (Hou et al., 2015). However, it has been reported that the detecting targets are dispersed in large volumes with the weak signal and low signal-to-noise ratio which cannot be detected effectively (Yan et al., 2014; Zhan et al., 2015). To solve this problem, droplet evaporation enrichment was developed to concentrate the targets from highly diluted solution to an area-confined domain to increase the effective contact frequency between the signal probes and targets (Gao et al., 2009).

Zhang et al. pioneered such an approach that the superhydrophobic TiO2 surface was designed with spotting superhydrophilic microwells (Xu et al., 2015). By the silane chemistry process, the capture probe was attached onto the superhydrophilic microwell. As the miRNA-141, a biomarker of prostate cancer, and FAM-labeled probe were introduced subsequently, the probes could be enriched and specifically recognized by the immobilized capture probe, resulting in the formation of the sandwich structure and exponential enhanced fluorescence intensity. This superwettable biosensor was realized for sensitive and selective detection of miRNA-141 with a low limit of detection (LOD) of 88 pM (Xu et al., 2018). This strategy has been applied for ultrasensitive detection of different cancer biomarkers, such as free prostate-specific antigen (PSA) (Chen et al., 2018) and mRNA (Hu et al., 2017). For a comprehensive understanding of the development and biosensing application of superwettable micropatterns, several high-quality reviews can be found in the literature (Xu et al., 2019; Wang et al., 2021).

With the signal probe condensed after droplet evaporation, the aggregation-induced quenching effect might present, leading to the inaccurate analysis and even false-positive results. To address this problem, Lou et al. proposed an aggregation-induced emission (AIE) luminogen-based fluorescent method for the detection of matrix metalloproteinase-2 (MMP-2) tumor marker on slippery lubricant-infused porous substrates (SLIPSs) (Figure 2A). This SLIPS method obtained a low LOD of 3.7 ng/ml, which has been successfully used for detecting the MMP-2 secreted by tumor cells directly (Wu et al., 2021).

FIGURE 2
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FIGURE 2. (A) Sensing process of peptide-conjugated AIEgen for quantitative detection of MMP-2 secreted from cells on the slippery surface (Wu et al., 2021). (B) Superwettable electrochemical microchip toward PSA detection (Xu et al., 2018). (C) Tape-based SERS superwettable sensors for the detection of food contaminants in an on-hand way (He et al., 2020b). (D) Design of the superwettable tapes for the colorimetric monitoring of heavy metals (He et al., 2018).

Based on the aforementioned discussion, fluorescence-based superwettable biosensors offer sensitive and accurate features to concentrate the sample and amplify the fluorescent signal, making them promising for the sensitive biomarker detection. However, the current methods mainly rely on the fluorescent microscope for laboratory measurements, which is cumbersome and not suitable for POCT application. The future direction should focus on the development of a portable fluorescent method, especially the smartphone-based superwettable biosensing method.

Electrochemistry-Based Superwettable Biosensor

As an ultrasensitive and universal analytical method, electrochemical assays have significant advantages including low cost, rapid response, simple operation, and high sensitivity, and they have been widely considered the powerful tool for biosensing (Hasanzadeh et al., 2017; Mani et al., 2021). Combining the characteristics of the superwettable surface with the merits of the electrochemical system, prominent performances have been realized in the following examples.

Xu et al. reported a nanodendritic electrochemical biosensor based on superhydrophilic microwells on a superwettable microchip for the selective and sensitive determination of prostate cancer biomarkers such as miRNA-141 (LODs = 0.8 nM), miRNA-375 (LODs = 0.8 nM), and PSA (LOD = 1.0 pM) (Xu et al., 2018) (Figure 2B). Li’s group developed a refreshable electrochemical biosensor with an excellent self-cleaning property by casting superhydrophobic conductive polydimethylsiloxane (PDMS) and multiwalled carbon nanotubes nanocomposite onto a glassy carbon electrode (Zhu et al., 2017). By recording HRP-dependent electrochemical signals, a tumor marker, namely, carcinoembryonic antigen has been successfully detected by this method with a wide dynamic range from 0.1 to 100 mg/ml, and the detection limit is as low as 0.041 ng/ml. To meet the requirement for personal healthcare management at home, Zhang’s group developed several portable electrochemical micro-workstation platforms for detecting biomarkers of disease, such as glucose (Song et al., 2020b), miRNA (Song et al., 2019), and multiple Alzheimer’s disease biomarkers (Song et al., 2020c; Liu et al., 2022). These smart electrochemical biosensors demonstrated significant performance on cloud data management and multichannel detection, indicating great potential for remote detection and portable high-throughput biomedical applications in future.

These current electrochemical methods based on the superwettable surface demonstrate a great perspective in biosensing. The current superwettable biosensor cannot be reused. To overcome this problem, nucleic acid probes with regenerated conformation can be considered to construct sensitive superwettable biosensors.

SERS-Based Superwettable Biosensor

Due to the significant advantages including small testing volume, rapid output, and high sensitivity, the SERS has been widely applied in various research fields such as sensing, bioimaging, food analysis, and environmental monitoring (Cardinal et al., 2017; Lin and He, 2019; Gao et al., 2021; Lin et al., 2021). To achieve significant performance, the SERS substrate incorporated with superwettability become an ideal candidate to access not only abundant hot spots for acquiring excellent sensitivity but also equally distributed hot spots for generating a stable signal.

Di Fabrizio et al. reported an interesting example for the direct detection of exosomes by SERS with a superhydrophobic array of silicon micropillars decorated with silver nanostructures (Tirinato et al., 2012). They found that exosomes from tumor colon cells show a high presence of RNA, whereas exosomes obtained from healthy colon cells display a high presence of lipid signals. Suarasan and coworkers also reported a superhydrophobic plasmonic biosensor for SERS-sensitive detection of exosomes with only 0.5 μL testing sample. PDMS was used to fabricate the superhydrophobic substrate with nanobowl and microbowl structures by the soft lithography method. Then, silver nanoparticles were grown in situ to impart SERS-enhancing properties (Suarasan et al., 2020). Yang et al. synthesized Fe3O4/Au/Ag nanocomposites and proposed a magnetically assisted SERS method to detect adenosine traces in clinical urine samples from lung cancer patients (Yang et al., 2014). This label-free method showed excellent sensitivity down to 1 × 10–10 M. Feng et al. developed an automatic deep learning-based superhydrophobic SERS platform for label-free detection of 695 clinical serum samples including 321 breast cancer patients, 77 leukemia M5 patients, 94 hepatitis B virus patients, and 203 healthy volunteers. This method demonstrated a high diagnostic accuracy (98.6%), which is promising for rapid, high-throughput, and label-free screening for cancer (Lin et al., 2021). With various designs of the superhydrophobic substrate, SERS-based superwettable biosensors have also been used to detect diverse cancer biomarkers, such as miRNA (Song et al., 2018; Song X. et al., 2020), extracellular vesicles (Suarasan et al., 2020), and peptides (Perozziello et al., 2014). These methods provide enormous potential to construct POCT devices for the early diagnosis of cancer. In addition, Zhang et al. proposed Au nanodendrites-functionalized superwettable microwells on the conductive carbon tape surface (He et al., 2020b). This sensor realized early-warning SERS detection of various food contaminants, such as thiabendazole, thiram, and Sudan-1, from real samples (Figure 2C).

These investigations provided a sensitive and accurate solution for coupling superwettable surface with SERS biosensing. However, the aggregation of targets is accompanied by the aggregation of contaminants during the droplet evaporation process, which is not desired in biosensing. To address this issue, pretreatment of samples is necessary before detection.

Colorimetric/Visual Method-Based Superwettable Biosensor

There have been extensive endeavors dedicated to the development of a quantitative visual method in the context of cancer biomarker assays. Colorimetric assay is a classic visual strategy for detection due to its equipment-free, simple, and rapid advantages (Sabela et al., 2017; Xu et al., 2017). As superwettable behaviors, such as contact angle and rolling/sliding angle performance, are the most obvious and direct characteristics of the superwettability, they have been emerged as a novel visual strategy for biosensing.

Superwettability is typically used to develop paper-based analytical devices (PADs) with superhydrophilic microwells on a hydrophobic wax substrate. Whitesides et al. pioneered the first PADs, leading the trend of PADs for diverse applications (Martinez et al., 2007). For example, Chen et al. reported a highly sensitive colorimetric method for prostate-specific antigen (PSA) diagnosis using gold nanoparticles labeled with biotinylated poly (adenine) ssDNA sequences and streptavidin–horseradish peroxidase for enzymatic signal enhancement (Huang et al., 2018). They realized a detection limit down to 10 pg/ml for PSA detection within 15 min of experimental operation. Hou et al. reported a disposable colorimetric assay based on droplet array that has been constructed from diverse chemo-responsive colorants. This rapid, small, inexpensive, non-invasive, and visualized droplet array achieved an accuracy of at least 90% and can be used as a powerful tool for early screening of lung cancer (Zhong et al., 2018). Using flexible tapes, Zhang’s group established a superwettable colorimetric biosensor for on-site heavy metals monitoring (He et al., 2018). They achieved quantitative colorimetric detection of multiplex heavy metal ions including copper, chromium, and nickel by the naked eye (Figure 2D). Furthermore, they applied a smartphone to acquire colorimetric signals for semiquantitative detection of routine urine biomarkers (glucose, nitrite, protein, and phenylpyruvate) (He et al., 2020a) and sweat biomarkers (pH, chloride, glucose, and calcium) (He et al., 2019). The tape-based superwettable biosensors show significant merits including user-friendly, POCT potential, and favorable screening for the early disease warning toward the clinical patients. We presented a contact angle-based visual biosensing method based on the pH-responsive superhydrophobic surface. PSA can be detected with a low LOD of 3.2 pg/ml by analyzing the contact angle (Gao et al., 2019). The contact angle-based method is suitable for color-blind and color-weak individuals. Another method suitable for color-blind and color-weak individuals is sliding angle-based visual detection, in which by tuning the hydrophobic interaction between DNA and organogel, miRNA 21 can be detected by analyzing the sliding angle (Gao et al., 2020). As the superwettable performance of these biosensors was hardly influenced by temperature, elevation, and even droplet color, it has significant potential to numerous users, especially to those color-blind/weak people.

These current wetting behavior-based visual assays have direct implications for developing simple, rapid, and low-cost strategies for biomarker detection. However, the small changes of contact angle and rolling/sliding angle cannot be discriminated by the naked eye. Thus, it is desirable to develop a smartphone-based digital method for the visual detection.

Conclusion

In summary, the recent progresses in superwettable biosensors for the detection of different biomarkers are briefly summarized, including the strategies of fluorescence, electrochemical, SERS, and visual assays. With continuing interdisciplinary technology and research progress, endless bioinspired nanomaterials and detection strategies will be introduced in the biosensing platforms. To note, several challenges also remain to be addressed in future developments. First, as almost applications presented in this review are mainly single target detection, developing a high-throughput superwettable biosensor with a multifunctional testing area would be more challenging and practical for future application. Second, the external stimulations including contamination and destruction may influence the wettability of the surface, leading to poor repeatability and credibility of such superwettable biosensors. Thus, long-surviving wettable surfaces are urgently required for practical application under extreme and complex biomedical conditions. Finally, the specificity of superwettable biosensing should be highlighted. Because the superwettable surfaces are preferred to interact with nonspecific targets by hydrophobic interaction and electrostatic interaction in complex environments such as cell matrix and blood, leading to the conformational change, recombination, and even oxidation of surface molecules. To avoid false-positive results, it is necessary to address the specificity for detection. We hope that this mini review will provide current insights and inspire researchers to investigate toward solving these existing problems and explore the superwettable biosensors as simple and commercialized devices for disease biomarker detection.

Author Contributions

YY wrote the manuscript. ZG reviewed and edited the manuscript. All authors revised the manuscript.

Funding

This work was financially supported by the National Natural Science Foundation of China (22176080 and 31800829).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Cardinal, M. F., Vander Ende, E., Hackler, R. A., McAnally, M. O., Stair, P. C., Schatz, G. C., et al. (2017). Expanding Applications of SERS through Versatile Nanomaterials Engineering. Chem. Soc. Rev. 46 (13), 3886–3903. doi:10.1039/C7CS00207F

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Li, K., Zhang, S., Qin, L., Deng, S., Ge, L., et al. (2020). Bioinspired Superwettable Microspine Chips with Directional Droplet Transportation for Biosensing. ACS Nano 14 (4), 4654–4661. doi:10.1021/acsnano.0c00324

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Xu, L.-P., Meng, J., Deng, S., Ma, L., Zhang, S., et al. (2018). Superwettable Microchips with Improved Spot Homogeneity toward Sensitive Biosensing. Biosens. Bioelectron. 102, 418–424. doi:10.1016/j.bios.2017.11.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Collins, F. S., Schwetz, T. A., Tabak, L. A., and Lander, E. S. (2021). ARPA-H: Accelerating Biomedical Breakthroughs. Science 373 (6551), 165–167. doi:10.1126/science.abj8547

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Z., Schumann, M. F., Hokkanen, M. J., Chang, B., Welle, A., Zhou, Q., et al. (2018). Superoleophobic Slippery Lubricant-Infused Surfaces: Combining Two Extremes in the Same Surface. Adv. Mater. 30 (45), 1803890. doi:10.1002/adma.201803890

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, J. B., Sann, E. E., Wang, X. Y., Ye, C., Liu, R., and Gao, Z. F. (2019). Visual Detection of the Prostate Specific Antigen via a sandwich Immunoassay and by Using a Superwettable Chip Coated with pH-Responsive Silica Nanoparticles. Microchim. Acta 186 (8), 550. doi:10.1007/s00604-019-3662-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, J., Gu, H., and Xu, B. (2009). Multifunctional Magnetic Nanoparticles: Design, Synthesis, and Biomedical Applications. Acc. Chem. Res. 42 (8), 1097–1107. doi:10.1021/ar9000026

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z. F., Li, Y. X., Dong, L. M., Zheng, L. L., Li, J. Z., Shen, Y., et al. (2021). Photothermal-induced Partial Leidenfrost Superhydrophobic Surface as Ultrasensitive Surface-Enhanced Raman Scattering Platform for the Detection of Neonicotinoid Insecticides. Sensors Actuators B: Chem. 348, 130728. doi:10.1016/j.snb.2021.130728

CrossRef Full Text | Google Scholar

Gao, Z. F., Liu, R., Wang, J., Dai, J., Huang, W.-H., Liu, M., et al. (2020). Manipulating the Hydrophobicity of DNA as a Universal Strategy for Visual Biosensing. Nat. Protoc. 15 (2), 316–337. doi:10.1038/s41596-019-0235-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, S., Zhang, S., Lu, F., Pan, W., Li, N., and Tang, B. (2021). CRISPR/Cas-Based In Vitro Diagnostic Platforms for Cancer Biomarker Detection. Anal. Chem. 93 (35), 11899–11909. doi:10.1021/acs.analchem.1c02533

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D., and Weinberg, R. A. (2000). The Hallmarks of Cancer. Cell 100, 57–70. doi:10.1016/S0092-8674(00)81683-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hasanzadeh, M., Shadjou, N., and de la Guardia, M. (2017). Early Stage Screening of Breast Cancer Using Electrochemical Biomarker Detection. Trac Trends Anal. Chem. 91, 67–76. doi:10.1016/j.trac.2017.04.006

CrossRef Full Text | Google Scholar

He, X., Pei, Q., Xu, T., and Zhang, X. (2020a). Smartphone-based Tape Sensors for Multiplexed Rapid Urinalysis. Sensors Actuators B: Chem. 304, 127415. doi:10.1016/j.snb.2019.127415

CrossRef Full Text | Google Scholar

He, X., Xu, T., Gao, W., Xu, L.-P., Pan, T., and Zhang, X. (2018). Flexible Superwettable tapes for On-Site Detection of Heavy Metals. Anal. Chem. 90 (24), 14105–14110. doi:10.1021/acs.analchem.8b04536

PubMed Abstract | CrossRef Full Text | Google Scholar

He, X., Xu, T., Gu, Z., Gao, W., Xu, L.-P., Pan, T., et al. (2019). Flexible and Superwettable Bands as a Platform toward Sweat Sampling and Sensing. Anal. Chem. 91 (7), 4296–4300. doi:10.1021/acs.analchem.8b05875

PubMed Abstract | CrossRef Full Text | Google Scholar

He, X., Yang, S., Xu, T., Song, Y., and Zhang, X. (2020b). Microdroplet-captured tapes for Rapid Sampling and SERS Detection of Food Contaminants. Biosens. Bioelectron. 152, 112013. doi:10.1016/j.bios.2020.112013

PubMed Abstract | CrossRef Full Text | Google Scholar

He, Z., Li, S., Zeng, Y., Zhang, J., Li, Q., Gao, B., et al. (202121014). Photo‐Adjustable TiO 2 ‐Paper as a Smart Substrate for Paper‐Based Analytical Devices. Adv. Mater. Inter 9, 2101450. doi:10.1002/admi.202101450

CrossRef Full Text | Google Scholar

Hou, J., Zhang, H., Yang, Q., Li, M., Jiang, L., and Song, Y. (2015). Hydrophilic-Hydrophobic Patterned Molecularly Imprinted Photonic Crystal Sensors for High-Sensitive Colorimetric Detection of Tetracycline. Small 11 (23), 2738–2742. doi:10.1002/smll.201403640

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X., Wang, Y., Liu, H., Wang, J., Tan, Y., Wang, F., et al. (2017). Naked Eye Detection of Multiple Tumor-Related mRNAs from Patients with Photonic-crystal Micropattern Supported Dual-Modal Upconversion Bioprobes. Chem. Sci. 8 (1), 466–472. doi:10.1039/c6sc03401b

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, J.-Y., Lin, H.-T., Chen, T.-H., Chen, C.-A., Chang, H.-T., and Chen, C.-F. (2018). Signal Amplified Gold Nanoparticles for Cancer Diagnosis on Paper-Based Analytical Devices. ACS Sens. 3 (1), 174–182. doi:10.1021/acssensors.7b00823

PubMed Abstract | CrossRef Full Text | Google Scholar

Karachaliou, N., Mayo-de-Las-Casas, C., Molina-Vila, M. A., and Rosell, R. (2015). Real-time Liquid Biopsies Become a Reality in Cancer Treatment. Ann. Transl. Med. 3, 36. doi:10.3978/j.issn.2305-5839.2015.01.16

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, X., Lin, D., Chen, Y., Lin, J., Weng, S., Song, J., et al. (2021). High Throughput Blood Analysis Based on Deep Learning Algorithm and Self‐Positioning Super‐Hydrophobic SERS Platform for Non‐Invasive Multi‐Disease Screening. Adv. Funct. Mater. 31 (51), 2103382. doi:10.1002/adfm.202103382

CrossRef Full Text | Google Scholar

Lin, Z., and He, L. (2019). Recent advance in SERS Techniques for Food Safety and Quality Analysis: A Brief Review. Curr. Opin. Food Sci. 28, 82–87. doi:10.1016/j.cofs.2019.10.001

CrossRef Full Text | Google Scholar

Liu, Y., Huang, Z., Xu, Q., Zhang, L., Liu, Q., and Xu, T. (2022). Portable Electrochemical Micro-workstation Platform for Simultaneous Detection of Multiple Alzheimer's Disease Biomarkers. Microchim. Acta 189 (3), 1–9. doi:10.1007/s00604-022-05199-4

CrossRef Full Text | Google Scholar

Mani, V., Beduk, T., Khushaim, W., Ceylan, A. E., Timur, S., Wolfbeis, O. S., et al. (2021). Electrochemical Sensors Targeting Salivary Biomarkers: A Comprehensive Review. Trac Trends Anal. Chem. 135, 116164. doi:10.1016/j.trac.2020.116164

CrossRef Full Text | Google Scholar

Martinez, A. W., Phillips, S. T., Butte, M. J., and Whitesides, G. M. (2007). Patterned Paper as a Platform for Inexpensive, Low-Volume, Portable Bioassays. Angew. Chem. 119 (8), 1340–1342. doi:10.1002/ange.200603817

CrossRef Full Text | Google Scholar

Meng, X., Yang, F., Dong, H., Dou, L., and Zhang, X. (2021). Recent Advances in Optical Imaging of Biomarkers In Vivo. Nano Today 38, 101156. doi:10.1016/j.nantod.2021.101156

CrossRef Full Text | Google Scholar

Perozziello, G., Candeloro, P., Gentile, F., Nicastri, A., Perri, A., Coluccio, M. L., et al. (2014). Microfluidics & Nanotechnology: towards Fully Integrated Analytical Devices for the Detection of Cancer Biomarkers. RSC Adv. 4 (98), 55590–55598. doi:10.1039/C4RA10486B

CrossRef Full Text | Google Scholar

Sabela, M., Balme, S., Bechelany, M., Janot, J.-M., and Bisetty, K. (2017). A Review of Gold and Silver Nanoparticle-Based Colorimetric Sensing Assays. Adv. Eng. Mater. 19 (12), 1700270. doi:10.1002/adem.201700270

CrossRef Full Text | Google Scholar

Sassolas, A., Leca-Bouvier, B. D., and Blum, L. J. (2008). DNA Biosensors and Microarrays. Chem. Rev. 108, 109–139. doi:10.1021/cr0684467

PubMed Abstract | CrossRef Full Text | Google Scholar

Seferos, D. S., Giljohann, D. A., Hill, H. D., Prigodich, A. E., and Mirkin, C. A. (2007). Nano-flares: Probes for Transfection and mRNA Detection in Living Cells. J. Am. Chem. Soc. 129, 15477–15479. doi:10.1021/ja0776529

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, X., Xu, T., Song, Y., He, X., Wang, D., Liu, C., et al. (2020a). Droplet Array for Open-Channel High-Throughput SERS Biosensing. Talanta 218, 121206. doi:10.1016/j.talanta.2020.121206

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Xu, T., Xiu, J., and Zhang, X. (2020b). Mini-pillar Microarray for Individually Electrochemical Sensing in Microdroplets. Biosens. Bioelectron. 149, 111845. doi:10.1016/j.bios.2019.111845

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Xu, T., Xu, L.-P., and Zhang, X. (2019). Nanodendritic Gold/graphene-Based Biosensor for Tri-mode miRNA Sensing. Chem. Commun. 55 (12), 1742–1745. doi:10.1039/c8cc09586h

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Xu, T., Xu, L.-P., and Zhang, X. (2018). Superwettable Nanodendritic Gold Substrates for Direct miRNA SERS Detection. Nanoscale 10 (45), 20990–20994. doi:10.1039/C8NR07348A

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Xu, T., Zhu, Q., and Zhang, X. (2020c). Integrated Individually Electrochemical Array for Simultaneously Detecting Multiple Alzheimer's Biomarkers. Biosens. Bioelectron. 162, 112253. doi:10.1016/j.bios.2020.112253

PubMed Abstract | CrossRef Full Text | Google Scholar

Suarasan, S., Liu, J., Imanbekova, M., Rojalin, T., Hilt, S., Voss, J. C., et al. (2020). Superhydrophobic Bowl-like SERS Substrates Patterned from CMOS Sensors for Extracellular Vesicle Characterization. J. Mater. Chem. B 8 (38), 8845–8852. doi:10.1039/D0TB00889C

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, L., Guo, J., Chen, H., Zhang, D., Shang, L., Zhang, B., et al. (2021). Tailoring Materials with Specific Wettability in Biomedical Engineering. Adv. Sci. 8 (19), 2100126. doi:10.1002/advs.202100126

CrossRef Full Text | Google Scholar

Tirinato, L., Gentile, F., Di Mascolo, D., Coluccio, M. L., Das, G., Liberale, C., et al. (2012). SERS Analysis on Exosomes Using Super-hydrophobic Surfaces. Microelectronic Eng. 97, 337–340. doi:10.1016/j.mee.2012.03.022

CrossRef Full Text | Google Scholar

Wang, Y., Liu, F., Yang, Y., and Xu, L.-P. (2021). Droplet Evaporation-Induced Analyte Concentration toward Sensitive Biosensing. Mater. Chem. Front. 5 (15), 5639–5652. doi:10.1039/d1qm00500f

CrossRef Full Text | Google Scholar

Wu, F., Huang, Y., Yang, X., Hu, J.-J., Lou, X., Xia, F., et al. (2021). Tunning Intermolecular Interaction of Peptide-Conjugated AIEgen in Nano-Confined Space for Quantitative Detection of Tumor Marker Secreted from Cells. Anal. Chem. 93 (48), 16257–16263. doi:10.1021/acs.analchem.1c04422

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, L., and Qu, X. (2015). Cancer Biomarker Detection: Recent Achievements and Challenges. Chem. Soc. Rev. 44, 2963–2997. doi:10.1039/C4CS00370E

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, L.-P., Chen, Y., Yang, G., Shi, W., Dai, B., Li, G., et al. (2015). Ultratrace DNA Detection Based on the Condensing-Enrichment Effect of Superwettable Microchips. Adv. Mater. 27 (43), 6878–6884. doi:10.1002/adma.201502982

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, T., Shi, W., Huang, J., Song, Y., Zhang, F., Xu, L.-P., et al. (2017). Superwettable Microchips as a Platform toward Microgravity Biosensing. ACS Nano 11 (1), 621–626. doi:10.1021/acsnano.6b06896

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, T., Song, Y., Gao, W., Wu, T., Xu, L.-P., Zhang, X., et al. (2018). Superwettable Electrochemical Biosensor toward Detection of Cancer Biomarkers. ACS Sens. 3 (1), 72–78. doi:10.1021/acssensors.7b00868

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, T., Xu, L.-P., Zhang, X., and Wang, S. (2019). Bioinspired Superwettable Micropatterns for Biosensing. Chem. Soc. Rev. 48 (12), 3153–3165. doi:10.1039/c8cs00915e

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, F., Zou, Y., Wang, M., Mu, X., Yang, N., and Chen, L. (2014). Highly Photoluminescent Carbon Dots-Based Fluorescent Chemosensors for Sensitive and Selective Detection of Mercury Ions and Application of Imaging in Living Cells. Sensors Actuators B: Chem. 192, 488–495. doi:10.1016/j.snb.2013.11.041

CrossRef Full Text | Google Scholar

Yang, T., Guo, X., Wu, Y., Wang, H., Fu, S., Wen, Y., et al. (2014). Facile and Label-free Detection of Lung Cancer Biomarker in Urine by Magnetically Assisted Surface-Enhanced Raman Scattering. ACS Appl. Mater. Inter. 6 (23), 20985–20993. doi:10.1021/am5057536

CrossRef Full Text | Google Scholar

Zhan, S., Xu, H., Zhan, X., Wu, Y., Wang, L., Lv, J., et al. (2015). Determination of Silver(I) Ion Based on the Aggregation of Gold Nanoparticles Caused by Silver-specific DNA, and its Effect on the Fluorescence of Rhodamine B. Microchim. Acta 182 (7), 1411–1419. doi:10.1007/s00604-015-1462-3

CrossRef Full Text | Google Scholar

Zhong, X., Li, D., Du, W., Yan, M., Wang, Y., Huo, D., et al. (2018). Rapid Recognition of Volatile Organic Compounds with Colorimetric Sensor Arrays for Lung Cancer Screening. Anal. Bioanal. Chem. 410 (16), 3671–3681. doi:10.1007/s00216-018-0948-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, H., Huang, Y., Lou, X., and Xia, F. (2021). Bioinspired Superwetting Surfaces for Biosensing. View 2 (1), 20200053. doi:10.1002/VIW.20200053

CrossRef Full Text | Google Scholar

Zhu, X., Chen, Y., Feng, C., Wang, W., Bo, B., Ren, R., et al. (2017). Assembly of Self-Cleaning Electrode Surface for the Development of Refreshable Biosensors. Anal. Chem. 89 (7), 4131–4138. doi:10.1021/acs.analchem.6b05177

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: biosensing, superwettability, bioinspired material, interface, detecting technologies

Citation: Yang YJ and Gao ZF (2022) Superwettable Biosensor for Disease Biomarker Detection. Front. Bioeng. Biotechnol. 10:872984. doi: 10.3389/fbioe.2022.872984

Received: 10 February 2022; Accepted: 01 March 2022;
Published: 28 March 2022.

Edited by:

Hongliang Liu, Yantai University, China

Reviewed by:

Tailin Xu, Shenzhen University, China
Shenshan Zhan, Chinese Academy of Agricultural Sciences (CAAS), China
Xiaoqing Yi, Gannan Medical University, China

Copyright © 2022 Yang and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhong Feng Gao, emZnYW8xMDI0QGhvdG1haWwuY29t

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