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Hu J, Zhao F, Ling H, Zhang Y, Liu Q. Single-particle Förster resonance energy transfer from upconversion nanoparticles to organic dyes. NANOSCALE ADVANCES 2024; 6:2945-2953. [PMID: 38817426 PMCID: PMC11134271 DOI: 10.1039/d4na00198b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/11/2024] [Indexed: 06/01/2024]
Abstract
Single-particle detection and sensing, powered by Förster resonance energy transfer (FRET), offers precise monitoring of molecular interactions and environmental stimuli at a nanometric resolution. Despite its potential, the widespread use of FRET has been curtailed by the rapid photobleaching of traditional fluorophores. This study presents a robust single-particle FRET platform utilizing upconversion nanoparticles (UCNPs), which stand out for their remarkable photostability, making them superior to conventional organic donors for energy transfer-based assays. Our comprehensive research demonstrates the influence of UCNPs' size, architecture, and dye selection on the efficiency of FRET. We discovered that small particles (∼14 nm) with a Yb3+-enriched outermost shell exhibit a significant boost in FRET efficiency, a benefit not observed in larger particles (∼25 nm). 25 nm UCNPs with an inert NaLuF4 shell demonstrated a comparable level of emission enhancement via FRET as those with a Yb3+-enriched outermost shell. At the single-particle level, these FRET-enhanced UCNPs manifested an upconversion green emission intensity that was 8.3 times greater than that of their unmodified counterparts, while maintaining notable luminescence stability. Our upconversion FRET system opens up new possibilities for developing more effective high-brightness, high-sensitivity single-particle detection, and sensing modalities.
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Affiliation(s)
- Jialing Hu
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University Shanghai 200438 China
| | - Fei Zhao
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University Shanghai 200438 China
| | - Huan Ling
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University Shanghai 200438 China
| | - Yunxiang Zhang
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University Shanghai 200438 China
| | - Qian Liu
- Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University Shanghai 200438 China
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2
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Yin S, Yang H, Wu Y, Wang Z, Yu C, Tang Y, Wang G. Recent advances in biological molecule detection based on a three-dimensional graphene structure. Analyst 2024; 149:1364-1380. [PMID: 38314837 DOI: 10.1039/d3an01932b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Graphene has become an attractive material in the field of electrochemical detection owing to its unique electrical properties. Although the simple stacking structures of two-dimensional (2D) graphene sheets can provide excellent detection properties, a macroscopic three-dimensional (3D) structure needs to be constructed to enhance its functional properties. Graphene with a 3D structure has elegant functions, unlike graphene with a 2D structure. These properties include a large specific surface area, easy loading of nanomaterials with electrocatalytic and redox functions, and so on. Herein, we outline the preparation methods (self-assembly, chemical vapor deposition, templates, and 3D printing) for 3D graphene structures for obtaining excellent detection performance and applications in detecting biological molecules, bacteria, and cells. Furthermore, this review focuses on the improvement of the detection performance and enhancement of the applicability of graphene-based electrochemical sensors. We hope that this article will provide a reference for the future development of electrochemical sensors based on 3D graphene composites.
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Affiliation(s)
- Shengyan Yin
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Hanyu Yang
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Yuyang Wu
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Zhe Wang
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Chenhao Yu
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Ying Tang
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin 130012, P. R. China.
| | - Guangbin Wang
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, P. R. China.
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3
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Liu L, Du K. A perspective on computer vision in biosensing. BIOMICROFLUIDICS 2024; 18:011301. [PMID: 38223547 PMCID: PMC10787640 DOI: 10.1063/5.0185732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/26/2023] [Indexed: 01/16/2024]
Abstract
Computer vision has become a powerful tool in the field of biosensing, aiding in the development of innovative and precise systems for the analysis and interpretation of biological data. This interdisciplinary approach harnesses the capabilities of computer vision algorithms and techniques to extract valuable information from various biosensing applications, including medical diagnostics, environmental monitoring, and food health. Despite years of development, there is still significant room for improvement in this area. In this perspective, we outline how computer vision is applied to raw sensor data in biosensors and its advantages to biosensing applications. We then discuss ongoing research and developments in the field and subsequently explore the challenges and opportunities that computer vision faces in biosensor applications. We also suggest directions for future work, ultimately underscoring the significant impact of computer vision on advancing biosensing technologies and their applications.
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Affiliation(s)
- Li Liu
- Department of Chemical and Environmental Engineering, University of California, Riverside, California 92521, USA
| | - Ke Du
- Department of Chemical and Environmental Engineering, University of California, Riverside, California 92521, USA
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4
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Liu M, Zhong N, Zhang L, Zhang Q, Tian X, Ma F, Zhang CY. Single probe-based catalytic quantum dot FRET nanosensor for human alkyladenine DNA glycosylase detection. Talanta 2024; 266:125089. [PMID: 37604071 DOI: 10.1016/j.talanta.2023.125089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 08/23/2023]
Abstract
Human alkyladenine DNA glycosylase (hAAG) is essential for repairing alkylated and deaminated bases, and it has become a prospective diagnosis biomarker and a therapeutic target for disease treatment. However, most of hAAG assays suffer from complicated reaction scheme, poor specificity, long assay time, and limited sensitivity. Herein, we report a novel single probe-based catalytic quantum dot (QD) Förster resonance energy transfer (FRET) nanosensor for simple and sensitive detection of hAAG activity. In this assay, hAAG induces the generation of 3' OH terminus via the excision of I base and the cleavage of AP site by APE1, subsequently initiating strand displacement reaction to produce numerous ssDNA signal probes. These probes can self-assemble on the QD surface to induce efficient FRET between QD and Cy5. This assay is very simple with the involvement of only a single probe for the achievement of both specific sensing and efficient signal amplification. Moreover, each signal probe contains multiple Cy5 moieties, and multiple signal probes can assemble on a single QD to greatly enhance the FRET efficiency. This nanosensor exhibits a detection limit of 3.60 × 10-10 U/μL and it is suitable for measuring enzymatic kinetics, screening inhibitor, and quantifying cellular hAAG activity with single-cell sensitivity.
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Affiliation(s)
- Meng Liu
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Nan Zhong
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Lingfei Zhang
- Center for Disease Control and Prevention of Weihai City, Weihai, 264200, China
| | - Qian Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Xiaorui Tian
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Fei Ma
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
| | - Chun-Yang Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China; School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
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5
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Zhu X, Kim TY, Kim SM, Luo K, Lim MC. Recent Advances in Biosensor Development for the Detection of Viral Particles in Foods: A Comprehensive Review. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:15942-15953. [PMID: 37862248 DOI: 10.1021/acs.jafc.3c05166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
Viral foodborne diseases cause serious harm to human health and the economy. Rapid, accurate, and convenient approaches for detecting foodborne viruses are crucial for preventing diseases. Biosensors integrating electrochemical and optical properties of nanomaterials have emerged as effective tools for the detection of viruses in foods. However, they still face several challenges, including substantial sample preparation and relatively poor sensitivity due to complex food matrices, which limit their field applications. Hence, the purpose of this review is to provide an overview of recent advances in biosensing techniques, including electrochemical, SERS-based, and colorimetric biosensors, for detecting viral particles in food samples, with emerging techniques for extraction/concentration of virus particles from food samples. Moreover, the principle, design, and advantages/disadvantages of each biosensing method are comprehensively described. This review covers the recent development of rapid and sensitive biosensors that can be used as new standards for monitoring food safety and food quality in the food industry.
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Affiliation(s)
- Xiaoning Zhu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, People's Republic of China
| | - Tai-Yong Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
| | - Se-Min Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
- Department of Food Science and Technology, Jeonbuk National University, Jeonju-si, Jeollabuk-do 54896, Republic of Korea
| | - Ke Luo
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, People's Republic of China
| | - Min-Cheol Lim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
- Department of Food Biotechnology, Korea University of Science and Technology, Daejeon-si 34113, Republic of Korea
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Zabelina A, Trelin A, Skvortsova A, Zabelin D, Burtsev V, Miliutina E, Svorcik V, Lyutakov O. Bioinspired superhydrophobic SERS substrates for machine learning assisted miRNA detection in complex biomatrix below femtomolar limit. Anal Chim Acta 2023; 1278:341708. [PMID: 37709451 DOI: 10.1016/j.aca.2023.341708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/06/2023] [Accepted: 08/10/2023] [Indexed: 09/16/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is an analytical method with high potential in the field of medicine. The design of SERS substrates, based on specific morphology and/or chemical modification, allow the recognition of the presence of specific analytes with precision close to a single-molecule detection limit. However, the SERS analysis of real samples is significantly complicated by the presence of a large number of "minor" molecules that can shield the signal from the target analyte and make it impossible to determine it in practice. In this work, an advanced SERS approach was used for the detection of cancer-related miRNA-21 in blood plasma, used as a molecular model background. The approach was based on the combination of the biomimetic plasmon-active SERS substrate, its tuned surface chemistry and advanced SERS data analysis, making use of artificial machine learning. In the first step, biomimetic SERS substrates were created using a butterfly wing as a starting template. The substrates were covered by thin Au layer and covalently grafted with hydrophobic chemical moieties to introduce superhydrophobic and water-adhesive properties. The self-concentration of the analyte on the substrates was achieved by minimizing the contact area between the analyte drop and the substrate, which is facilitated by surface superhydrophobicity and additionally enhanced by drop evaporation on the flipped over substrate. Due to the presence of cancer miRNA and blood plasma background, the measured SERS spectra represent a complex of interfering peaks. Thus, their interpretation was carried out using a specially trained machine learning model. As a result, reliable and repeatable quantitative detection of miRNAs below the femtomolar level (up to 10-16 M) on the background of human blood plasma becomes possible.
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Affiliation(s)
- A Zabelina
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - A Trelin
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - A Skvortsova
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - D Zabelin
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - V Burtsev
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - E Miliutina
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - V Svorcik
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic
| | - O Lyutakov
- Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
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7
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Wang H, Wang T, Yuan X, Wang Y, Yue X, Wang L, Zhang J, Wang J. Plasmonic Nanostructure Biosensors: A Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:8156. [PMID: 37836985 PMCID: PMC10575025 DOI: 10.3390/s23198156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023]
Abstract
Plasmonic nanostructure biosensors based on metal are a powerful tool in the biosensing field. Surface plasmon resonance (SPR) can be classified into localized surface plasmon resonance (LSPR) and propagating surface plasmon polariton (PSPP), based on the transmission mode. Initially, the physical principles of LSPR and PSPP are elaborated. In what follows, the recent development of the biosensors related to SPR principle is summarized. For clarity, they are categorized into three groups according to the sensing principle: (i) inherent resonance-based biosensors, which are sensitive to the refractive index changes of the surroundings; (ii) plasmon nanoruler biosensors in which the distances of the nanostructure can be changed by biomolecules at the nanoscale; and (iii) surface-enhanced Raman scattering biosensors in which the nanostructure serves as an amplifier for Raman scattering signals. Moreover, the advanced application of single-molecule detection is discussed in terms of metal nanoparticle and nanopore structures. The review concludes by providing perspectives on the future development of plasmonic nanostructure biosensors.
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Affiliation(s)
- Huimin Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Tao Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Xuyang Yuan
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Yuandong Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Xinzhao Yue
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Lu Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Jinyan Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
| | - Jian Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China; (H.W.); (X.Y.); (Y.W.); (X.Y.); (L.W.); (J.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
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8
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Guerrero RD, Reyes A. Optimizing Quantum Control Pulses with Gaussian Process Priors: The Spectral Way. J Phys Chem A 2023; 127:6123-6134. [PMID: 37462537 DOI: 10.1021/acs.jpca.3c03162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
This study presents the Gaussian Process Prior Optimization for Pulse Shaping (GPPOPS) methodology, a novel approach to pulse shaping engineering. Its main objective is to efficiently identify laser pulse shapes that can achieve a desired task encoded in a cost function while being experimentally implementable. The AlH+ molecule was utilized as a test case to find pulse shapes that maximized vibronic transitions. The results demonstrate that optimal pulses can be readily implemented using current laser technology and that their control capabilities can withstand noise. The study emphasizes the benefits of constructing a surrogate approach to the control landscape during the optimization process. This approach is expected to be versatile, efficient and readily implementable in the laboratory. Its demonstrated robustness to noise sets it apart from other numerical pulse shaping engineering methods. By reducing the required experimental labor, this method has the potential to facilitate breakthroughs in quantum engineering.
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Affiliation(s)
- Rubén Darío Guerrero
- Quantum and Computational Chemistry Group, Universidad Nacional de Colombia, Bogota 111321, Colombia
| | - Andrés Reyes
- Quantum and Computational Chemistry Group, Universidad Nacional de Colombia, Bogota 111321, Colombia
- Department of Chemistry, Universidad Nacional de Colombia, Bogota 111321, Colombia
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9
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Xiao Y, Zhang Z, Yin S, Ma X. Nanoplasmonic biosensors for precision medicine. Front Chem 2023; 11:1209744. [PMID: 37483272 PMCID: PMC10359043 DOI: 10.3389/fchem.2023.1209744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/22/2023] [Indexed: 07/25/2023] Open
Abstract
Nanoplasmonic biosensors have a huge boost for precision medicine, which allows doctors to better understand diseases at the molecular level and to improve the earlier diagnosis and develop treatment programs. Unlike traditional biosensors, nanoplasmonic biosensors meet the global health industry's need for low-cost, rapid and portable aspects, while offering multiplexing, high sensitivity and real-time detection. In this review, we describe the common detection schemes used based on localized plasmon resonance (LSPR) and highlight three sensing classes based on LSPR. Then, we present the recent applications of nanoplasmonic in other sensing methods such as isothermal amplification, CRISPR/Cas systems, lab on a chip and enzyme-linked immunosorbent assay. The advantages of nanoplasmonic-based integrated sensing for multiple methods are discussed. Finally, we review the current applications of nanoplasmonic biosensors in precision medicine, such as DNA mutation, vaccine evaluation and drug delivery. The obstacles faced by nanoplasmonic biosensors and the current countermeasures are discussed.
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Affiliation(s)
- Yiran Xiao
- School of Science, Harbin Institute of Technology, Shenzhen, Guangdong, China
| | | | - Shi Yin
- Briteley Institute of Life Sciences, Yantai, Shandong, China
| | - Xingyi Ma
- School of Science, Harbin Institute of Technology, Shenzhen, Guangdong, China
- Biosen International, Jinan, Shandong, China
- Briteley Institute of Life Sciences, Yantai, Shandong, China
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10
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Bergkamp MH, Cajigas S, van IJzendoorn LJ, Prins MW. High-Throughput Single-Molecule Sensors: How Can the Signals Be Analyzed in Real Time for Achieving Real-Time Continuous Biosensing? ACS Sens 2023; 8:2271-2281. [PMID: 37216442 PMCID: PMC10294250 DOI: 10.1021/acssensors.3c00245] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/05/2023] [Indexed: 05/24/2023]
Abstract
Single-molecule sensors collect statistics of single-molecule interactions, and the resulting data can be used to determine concentrations of analyte molecules. The assays are generally end-point assays and are not designed for continuous biosensing. For continuous biosensing, a single-molecule sensor needs to be reversible, and the signals should be analyzed in real time in order to continuously report output signals, with a well-controlled time delay and measurement precision. Here, we describe a signal processing architecture for real-time continuous biosensing based on high-throughput single-molecule sensors. The key aspect of the architecture is the parallel computation of multiple measurement blocks that enables continuous measurements over an endless time span. Continuous biosensing is demonstrated for a single-molecule sensor with 10,000 individual particles that are tracked as a function of time. The continuous analysis includes particle identification, particle tracking, drift correction, and detection of the discrete timepoints where individual particles switch between bound and unbound states, yielding state transition statistics that relate to the analyte concentration in solution. The continuous real-time sensing and computation were studied for a reversible cortisol competitive immunosensor, showing how the precision and time delay of cortisol monitoring are controlled by the number of analyzed particles and the size of the measurement blocks. Finally, we discuss how the presented signal processing architecture can be applied to various single-molecule measurement methods, allowing these to be developed into continuous biosensors.
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Affiliation(s)
- Max H. Bergkamp
- Department
of Biomedical Engineering, Eindhoven University
of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
| | | | - Leo J. van IJzendoorn
- Department
of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
| | - Menno W.J. Prins
- Department
of Biomedical Engineering, Eindhoven University
of Technology, Eindhoven 5612 AE, The Netherlands
- Department
of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
- Helia
Biomonitoring, Eindhoven 5612 AR, The Netherlands
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11
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Iyer V, Issadore DA, Aflatouni F. The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems. LAB ON A CHIP 2023; 23:2553-2576. [PMID: 37114950 DOI: 10.1039/d2lc01163h] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Since the field's inception, pioneers in microfluidics have made significant progress towards realizing complete lab-on-chip systems capable of sophisticated sample analysis and processing. One avenue towards this goal has been to join forces with the related field of microelectronics, using integrated circuits (ICs) to perform on-chip actuation and sensing. While early demonstrations focused on using microfluidic-IC hybrid chips to miniaturize benchtop instruments, steady advancements in the field have enabled a new generation of devices that expand past miniaturization into high-performance applications that would not be possible without IC hybrid integration. In this review, we identify recent examples of labs-on-chip that use high-resolution, high-speed, and multifunctional electronic and photonic chips to expand the capabilities of conventional sample analysis. We focus on three particularly active areas: a) high-throughput integrated flow cytometers; b) large-scale microelectrode arrays for stimulation and multimodal sensing of cells over a wide field of view; c) high-speed biosensors for studying molecules with high temporal resolution. We also discuss recent advancements in IC technology, including on-chip data processing techniques and lens-free optics based on integrated photonics, that are poised to further advance microfluidic-IC hybrid chips.
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Affiliation(s)
- Vasant Iyer
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - David A Issadore
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Firooz Aflatouni
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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12
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Christenson PR, Li M, Rowden G, Larsen PA, Oh SH. Nanoparticle-Enhanced RT-QuIC (Nano-QuIC) Diagnostic Assay for Misfolded Proteins. NANO LETTERS 2023; 23:4074-4081. [PMID: 37126029 DOI: 10.1021/acs.nanolett.3c01001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Misfolded proteins associated with various neurodegenerative diseases often accumulate in tissues or circulate in biological fluids years before the clinical onset, thus representing ideal diagnostic targets. Real-time quaking-induced conversion (RT-QuIC), a protein-based seeded-amplification assay, holds great potential for early disease detection, yet challenges remain for routine diagnostic application. Chronic Wasting Disease (CWD), associated with misfolded prion proteins of cervids, serves as an ideal model for evaluating new RT-QuIC methodologies. In this study, we investigate the previously untested hypothesis that incorporating nanoparticles into RT-QuIC assays can enhance their speed and sensitivity when applied to biological samples. We show that adding 50 nm silica nanoparticles to RT-QuIC experiments (termed Nano-QuIC) for CWD diagnostics greatly improves the performance by reducing detection times 2.5-fold and increasing sensitivity 10-fold by overcoming the effect of inhibitors in complex tissue samples. Crucially, no false positives were observed with these 50 nm silica nanoparticles, demonstrating the enhanced reliability and potential for diagnostic application of Nano-QuIC in detecting misfolded proteins.
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Affiliation(s)
- Peter R Christenson
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Manci Li
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, Minnesota 55108, United States
- Department of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Gage Rowden
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, Minnesota 55108, United States
- Department of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Peter A Larsen
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, Minnesota 55108, United States
- Department of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Sang-Hyun Oh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota, St. Paul, Minnesota 55108, United States
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13
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Dief EM, Low PJ, Díez-Pérez I, Darwish N. Advances in single-molecule junctions as tools for chemical and biochemical analysis. Nat Chem 2023; 15:600-614. [PMID: 37106094 DOI: 10.1038/s41557-023-01178-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 03/02/2023] [Indexed: 04/29/2023]
Abstract
The development of miniaturized electronics has led to the design and construction of powerful experimental platforms capable of measuring electronic properties to the level of single molecules, along with new theoretical concepts to aid in the interpretation of the data. A new area of activity is now emerging concerned with repurposing the tools of molecular electronics for applications in chemical and biological analysis. Single-molecule junction techniques, such as the scanning tunnelling microscope break junction and related single-molecule circuit approaches have a remarkable capacity to transduce chemical information from individual molecules, sampled in real time, to electrical signals. In this Review, we discuss single-molecule junction approaches as emerging analytical tools for the chemical and biological sciences. We demonstrate how these analytical techniques are being extended to systems capable of probing chemical reaction mechanisms. We also examine how molecular junctions enable the detection of RNA, DNA, and traces of proteins in solution with limits of detection at the zeptomole level.
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Affiliation(s)
- Essam M Dief
- School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia
| | - Paul J Low
- School of Molecular Sciences, University of Western Australia, Crawley, Western Australia, Australia
| | - Ismael Díez-Pérez
- Department of Chemistry, Faculty of Natural & Mathematical Sciences, King's College London, London, UK
| | - Nadim Darwish
- School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.
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14
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Lyu Y, An L, Zeng H, Zheng F, Guo J, Zhang P, Yang H, Li H. First-passage time analysis of diffusion-controlled reactions in single-molecule detection. Talanta 2023; 260:124569. [PMID: 37116360 DOI: 10.1016/j.talanta.2023.124569] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/21/2023] [Accepted: 04/16/2023] [Indexed: 04/30/2023]
Abstract
Single-molecule detection (SMD) aims to achieve the ultimate limit-of-detection (LOD) in biosensing. This method detects a countable number of targeted analyte molecules in solution, where the dynamics of molecule diffusion, capturing, identification and delivery greatly impact the SMD's efficiency and accuracy. In this study, we adopt the first-passage time method to investigate the diffusion-controlled reaction process in SMD. We analyze the influence of detection conditions on incubation time and the expected coefficient of variation (CV) under three SMD molecule capturing strategies, including solid-phase capturing (one-dimensional solid-liquid interface fixation), liquid-phase magnetic bead (MB) capturing, and liquid-phase direct fluorescence pair labeling. We find that inside a finite-sized reaction chamber, a finite average reaction time exists in all three capturing strategies, while the liquid-phase strategies are in general more efficient than the solid-phase approaches. CV can be estimated by averaging first-passage time solely in all three strategies, and the CV reduction is achievable given an extended reaction time. To further enable zeptomolar detection, extra treatments, such as adopting liquid-phase fluorescence pairs with high diffusion rates to label the molecule, or designing specific sensing devices with large effective sensing areas would be required. This framework provides solid theoretical support to guide the design of SMD sensing strategies and sensor structures to achieve desired measurement time and CV.
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Affiliation(s)
- Yingkai Lyu
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lixiang An
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Huaiyang Zeng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Feng Zheng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Jiajia Guo
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Pengcheng Zhang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hui Yang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hao Li
- National Innovation Center for Advanced Medical Devices, Shenzhen, China.
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15
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Zhao Y, Wu W, Tang X, Zhang Q, Mao J, Yu L, Li P, Zhang Z. A universal CRISPR/Cas12a-powered intelligent point-of-care testing platform for multiple small molecules in the healthcare, environment, and food. Biosens Bioelectron 2023; 225:115102. [PMID: 36724657 DOI: 10.1016/j.bios.2023.115102] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 01/26/2023]
Abstract
Growing studies focusing on nuclear acid detection via the emerging CRISPR technique demonstrate its promising application. However, limited works solve the identification of non-nucleic acid targets, especially multiple small molecules. To address challenges for point-of-care testing (POCT) in complex matrices for healthcare, environment, and food safety, we developed CRISPR Cas12a-powered highly sensitive, high throughput, intelligent POCT (iPOCT) for multiple small molecules based on a smartphone-controlled reader. As a proof of concept, aflatoxin B1 (AFB1), benzo[a]pyrene (BaP), and capsaicin (CAP) were chosen as multiple targets. First, three antigens were preloaded in independent microwells. Then, the antibody/antigen-induced fluorescent signals were consecutively transferred from the biotin-streptavidin to CRISPR/Cas12a system. Third, the fluorescent signals were recorded by a smartphone-controlled handheld dark-box readout. Under optimization, detection limits in AFB1, BaP, and CAP were 0.00257, 4.971, and 794.6 fg/mL with wide linear ranges up to four orders of magnitude. Using urine, water, soybean oil, wheat, and peanuts as the complex matrix, we recorded high selectivity, considerable recovery, repeatability, and high consistency comparison to HPLC-MS/MS methods. This work promises a practical intelligent POCT platform for multiple targets in lipid-soluble and water-soluble matrices and could be extensively applied for healthcare, environment, and food safety.
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Affiliation(s)
- Yuan Zhao
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China
| | - Wenqin Wu
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China
| | - Xiaoqian Tang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China
| | - Qi Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China; Hubei Hongshan Laboratory, Wuhan, 430070, PR China
| | - Jin Mao
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China; Hubei Hongshan Laboratory, Wuhan, 430070, PR China
| | - Li Yu
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China
| | - Peiwu Li
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China; Hubei Hongshan Laboratory, Wuhan, 430070, PR China; Zhejiang Xianghu Laboratory, Hangzhou, 311231, PR China
| | - Zhaowei Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Wuhan, 430062, PR China; Hubei Hongshan Laboratory, Wuhan, 430070, PR China.
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16
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Lin HY, Chen WR, Lu LC, Chen HL, Chen YH, Pan M, Chen CC, Chen C, Yen TH, Wan D. Direct Thermal Growth of Gold Nanopearls on 3D Interweaved Hydrophobic Fibers as Ultrasensitive Portable SERS Substrates for Clinical Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207404. [PMID: 36974592 DOI: 10.1002/smll.202207404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS)-based biosensors have attracted much attention for their label-free detection, ultrahigh sensitivity, and unique molecular fingerprinting. In this study, a wafer-scale, ultrasensitive, highly uniform, paper-based, portable SERS detection platform featuring abundant and dense gold nanopearls with narrow gap distances, are prepared and deposited directly onto ultralow-surface-energy fluorosilane-modified cellulose fibers through simple thermal evaporation by delicately manipulating the atom diffusion behavior. The as-designed paper-based SERS substrate exhibits an extremely high Raman enhancement factor (3.9 × 1011 ), detectability at sub-femtomolar concentrations (single-molecule level) and great signal reproductivity (relative standard deviation: 3.97%), even when operated with a portable 785-nm Raman spectrometer. This system is used for fingerprinting identification of 12 diverse analytes, including clinical medicines (cefazolin, chloramphenicol, levetiracetam, nicotine), pesticides (thiram, paraquat, carbaryl, chlorpyrifos), environmental carcinogens (benzo[a]pyrene, benzo[g,h,i]perylene), and illegal drugs (methamphetamine, mephedrone). The lowest detection concentrations reach the sub-ppb level, highlighted by a low of 16.2 ppq for nicotine. This system appears suitable for clinical applications in, for example, i) therapeutic drug monitoring for individualized medication adjustment and ii) ultra-early diagnosis for pesticide intoxication. Accordingly, such scalable, portable and ultrasensitive fibrous SERS substrates open up new opportunities for practical on-site detection in biofluid analysis, point-of-care diagnostics and precision medicine.
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Affiliation(s)
- Hsin-Yao Lin
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Division of Neurosurgery, Department of Surgery, MacKay Memorial Hospital, 10449, Taipei, Taiwan
| | - Wan-Ru Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Li-Chia Lu
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Hsuen-Li Chen
- Department of Materials Science and Engineering and Center of Atomic Initiative for New Materials (AI-MAT), National Taiwan University, Taipei, 10617, Taiwan
| | - Yu-Hsuan Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Michael Pan
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Chi-Chia Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Chihchen Chen
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Tzung-Hai Yen
- Division of Neurosurgery, Department of Surgery, MacKay Memorial Hospital, 10449, Taipei, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 33378, Taiwan
| | - Dehui Wan
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
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17
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Herrera-Domínguez M, Morales-Luna G, Mahlknecht J, Cheng Q, Aguilar-Hernández I, Ornelas-Soto N. Optical Biosensors and Their Applications for the Detection of Water Pollutants. BIOSENSORS 2023; 13:bios13030370. [PMID: 36979582 PMCID: PMC10046542 DOI: 10.3390/bios13030370] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 05/14/2023]
Abstract
The correct detection and quantification of pollutants in water is key to regulating their presence in the environment. Biosensors offer several advantages, such as minimal sample preparation, short measurement times, high specificity and sensibility and low detection limits. The purpose of this review is to explore the different types of optical biosensors, focusing on their biological elements and their principle of operation, as well as recent applications in the detection of pollutants in water. According to our literature review, 33% of the publications used fluorescence-based biosensors, followed by surface plasmon resonance (SPR) with 28%. So far, SPR biosensors have achieved the best results in terms of detection limits. Although less common (22%), interferometers and resonators (4%) are also highly promising due to the low detection limits that can be reached using these techniques. In terms of biological recognition elements, 43% of the published works focused on antibodies due to their high affinity and stability, although they could be replaced with molecularly imprinted polymers. This review offers a unique compilation of the most recent work in the specific area of optical biosensing for water monitoring, focusing on both the biological element and the transducer used, as well as the type of target contaminant. Recent technological advances are discussed.
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Affiliation(s)
- Marcela Herrera-Domínguez
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
| | - Gesuri Morales-Luna
- Departamento de Física y Matemáticas, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, Mexico City 01219, Mexico
| | - Jürgen Mahlknecht
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
| | - Quan Cheng
- Department of Chemistry, University of California, Riverside, CA 92521, USA
| | - Iris Aguilar-Hernández
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
- Correspondence: (I.A.-H.); (N.O.-S.)
| | - Nancy Ornelas-Soto
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
- Correspondence: (I.A.-H.); (N.O.-S.)
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18
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Abstract
This paper reviews methods for detecting proteins based on molecular digitization, i.e., the isolation and detection of single protein molecules or singulated ensembles of protein molecules. The single molecule resolution of these methods has resulted in significant improvements in the sensitivity of immunoassays beyond what was possible using traditional "analog" methods: the sensitivity of some digital immunoassays approach those of methods for measuring nucleic acids, such as the polymerase chain reaction (PCR). The greater sensitivity of digital protein detection has resulted in immuno-diagnostics with high potential societal impact, e.g., the early diagnosis and therapeutic intervention of Alzheimer's Disease. In this review, we will first provide the motivation for developing digital protein detection methods given the limitations in the sensitivity of analog methods. We will describe the paradigm shift catalyzed by single molecule detection, and will describe in detail one digital approach - which we call digital bead assays (DBA) - based on the capture and labeling of proteins on beads, identifying "on" and "off" beads, and quantification using Poisson statistics. DBA based on the single molecule array (Simoa) technology have sensitivities down to attomolar concentrations, equating to ∼10 proteins in a 200 μL sample. We will describe the concept behind DBA, the different single molecule labels used, the ways of analyzing beads (imaging of arrays and flow), the binding reagents and substrates used, and integration of these technologies into fully automated and miniaturized systems. We provide an overview of emerging approaches to digital protein detection, including those based on digital detection of nucleic acids labels, single nanoparticle detection, measurements using nanopores, and methods that exploit the kinetics of single molecule binding. We outline the initial impact of digital protein detection on clinical measurements, highlighting the importance of customized assay development and translational clinical research. We highlight the use of DBA in the measurement of neurological protein biomarkers in blood, and how these higher sensitivity methods are changing the diagnosis and treatment of neurological diseases. We conclude by summarizing the status of digital protein detection and suggest how the lab-on-a-chip community might drive future innovations in this field.
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Affiliation(s)
- David C Duffy
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, MA 01821, USA.
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19
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Hu Z, Li Y, Figueroa-Miranda G, Musal S, Li H, Martínez-Roque MA, Hu Q, Feng L, Mayer D, Offenhäusser A. Aptamer based biosensor platforms for neurotransmitters analysis. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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20
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Lee J, Lee S, Kang SH. Wavelength-dependent three-dimensional single-molecule superlocalization imaging for yoctomole detection of thyroid-stimulating hormone on a quantum dot nanobiosensor. CHINESE CHEM LETT 2023. [DOI: 10.1016/j.cclet.2023.108383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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21
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Liu C, Yuan X, Wu J, Wang S, Fang J. Rapid fabrication of the Au hexagonal cone arrays for SERS applications. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 286:121969. [PMID: 36323080 DOI: 10.1016/j.saa.2022.121969] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/17/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
This study performed trace detection using surface-enhanced Raman scattering (SERS) on Au hexagonal cone arrays (Au-HCAs). Uniform porous anodized aluminum oxide (AAO) templates were used, and an Ag film with a cone cavity was prepared using a thermal deposition technique. Next, a series of homogeneous Au-HCAs were prepared controllably via electrodeposition growth technology. The prepared Au-HCAs were used as SERS substrates, and according to the experimental results, the optimal electrodeposition time is 600 s. At this time, Au-HCAs had the highest SERS activity. The detection limit of R6G was 10-9 M, exhibiting high reproducibility and high uniformity at 10-6 M, indicating that Au-HCAs had good stability. Moreover, a good linear correlation between the Raman intensity and the molecular concentration endowed Au-HCAs with good quantitative analysis ability. Therefore, the Au-HCAs exhibited great potential for qualitative and quantitative detection.
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Affiliation(s)
- Chuang Liu
- School of Science, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu 226019, PR China
| | - Xiaotong Yuan
- School of Science, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu 226019, PR China
| | - Jing Wu
- School of Science, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu 226019, PR China
| | - Su Wang
- School of Science, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu 226019, PR China.
| | - Jinghuai Fang
- School of Science, Nantong University, No.9, Seyuan Road, Nantong, Jiangsu 226019, PR China.
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22
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Kumaran A, Jude Serpes N, Gupta T, James A, Sharma A, Kumar D, Nagraik R, Kumar V, Pandey S. Advancements in CRISPR-Based Biosensing for Next-Gen Point of Care Diagnostic Application. BIOSENSORS 2023; 13:202. [PMID: 36831968 PMCID: PMC9953454 DOI: 10.3390/bios13020202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 05/25/2023]
Abstract
With the move of molecular tests from diagnostic labs to on-site testing becoming more common, there is a sudden rise in demand for nucleic acid-based diagnostic tools that are selective, sensitive, flexible to terrain changes, and cost-effective to assist in point-of-care systems for large-scale screening and to be used in remote locations in cases of outbreaks and pandemics. CRISPR-based biosensors comprise a promising new approach to nucleic acid detection, which uses Cas effector proteins (Cas9, Cas12, and Cas13) as extremely specialized identification components that may be used in conjunction with a variety of readout approaches (such as fluorescence, colorimetry, potentiometry, lateral flow assay, etc.) for onsite analysis. In this review, we cover some technical aspects of integrating the CRISPR Cas system with traditional biosensing readout methods and amplification technologies such as polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), and recombinase polymerase amplification (RPA) and continue to elaborate on the prospects of the developed biosensor in the detection of some major viral and bacterial diseases. Within the scope of this article, we also discuss the recent COVID pandemic and the numerous CRISPR biosensors that have undergone development since its advent. Finally, we discuss some challenges and future prospects of CRISPR Cas systems in point-of-care testing.
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Affiliation(s)
- Akash Kumaran
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Nathan Jude Serpes
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Tisha Gupta
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Abija James
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Avinash Sharma
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Deepak Kumar
- Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Rupak Nagraik
- Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India
| | - Vaneet Kumar
- Department of Natural Science, CT University, Ludhiana 142024, Punjab, India
| | - Sadanand Pandey
- Department of Chemistry, College of Natural Sciences, Yeungnam University, Gyeongsan 38541, Gyeongbuk, Republic of Korea
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23
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Dey S, Dolci M, Zijlstra P. Single-Molecule Optical Biosensing: Recent Advances and Future Challenges. ACS PHYSICAL CHEMISTRY AU 2023; 3:143-156. [PMID: 36968450 PMCID: PMC10037498 DOI: 10.1021/acsphyschemau.2c00061] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023]
Abstract
In recent years, the sensitivity and specificity of optical sensors has improved tremendously due to improvements in biochemical functionalization protocols and optical detection systems. As a result, single-molecule sensitivity has been reported in a range of biosensing assay formats. In this Perspective, we summarize optical sensors that achieve single-molecule sensitivity in direct label-free assays, sandwich assays, and competitive assays. We describe the advantages and disadvantages of single-molecule assays and summarize future challenges in the field including their optical miniaturization and integration, multimodal sensing capabilities, accessible time scales, and compatibility with real-life matrices such as biological fluids. We conclude by highlighting the possible application areas of optical single-molecule sensors that include not only healthcare but also the monitoring of the environment and industrial processes.
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Affiliation(s)
- Swayandipta Dey
- Eindhoven University of Technology, Department of Applied Physics, Eindhoven 5600 MB, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven, 5600 MB, The Netherlands
- Eindhoven Hendrik Casimir Institute, Eindhoven, 5600 MB, The Netherlands
| | - Mathias Dolci
- Eindhoven University of Technology, Department of Applied Physics, Eindhoven 5600 MB, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven, 5600 MB, The Netherlands
- Eindhoven Hendrik Casimir Institute, Eindhoven, 5600 MB, The Netherlands
| | - Peter Zijlstra
- Eindhoven University of Technology, Department of Applied Physics, Eindhoven 5600 MB, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven, 5600 MB, The Netherlands
- Eindhoven Hendrik Casimir Institute, Eindhoven, 5600 MB, The Netherlands
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24
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Lu Y, Yang H, Bai J, He Q, Deng R. CRISPR-Cas based molecular diagnostics for foodborne pathogens. Crit Rev Food Sci Nutr 2022; 64:5269-5289. [PMID: 36476134 DOI: 10.1080/10408398.2022.2153792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Foodborne pathogenic infection has brought multifaceted issues to human life, leading to an urgent demand for advanced detection technologies. CRISPR/Cas-based biosensors have the potential to address various challenges that exist in conventional assays such as insensitivity, long turnaround time and complex pretreatments. In this perspective, we review the relevant strategies of CRISPR/Cas-assisted diagnostics on foodborne pathogens, focusing on biosensing platforms for foodborne pathogens based on fluorescence, colorimetric, (electro)chemiluminescence, electrochemical, and surface-enhanced Raman scattering detection. It summarizes their detection principles by the clarification of foodborne pathogenic bacteria, fungi, and viruses. Finally, we discuss the current challenges or technical barriers of these methods against broad application, and put forward alternative solutions to improve CRISPR/Cas potential for food safety.
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Affiliation(s)
- Yunhao Lu
- College of Food and Biological Engineering, Chengdu University, Chengdu, P.R. China
| | - Hao Yang
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
| | - Jinrong Bai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, P.R. China
| | - Qiang He
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
| | - Ruijie Deng
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
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25
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Dematties D, Wen C, Zhang SL. A Generalized Transformer-Based Pulse Detection Algorithm. ACS Sens 2022; 7:2710-2720. [PMID: 36039873 PMCID: PMC9513795 DOI: 10.1021/acssensors.2c01218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., electrical or optical pulses caused by analyte translocations in nanopores. The primary challenge in processing pulse-like signals is to capture the pulses in noisy backgrounds, but current methods are subjectively based on a user-defined threshold for pulse recognition. Here, we propose a generalized machine-learning based method, named pulse detection transformer (PETR), for pulse detection. PETR determines the start and end time points of individual pulses, thereby singling out pulse segments in a time-sequential trace. It is objective without needing to specify any threshold. It provides a generalized interface for downstream algorithms for specific application scenarios. PETR is validated using both simulated and experimental nanopore translocation data. It returns a competitive performance in detecting pulses through assessing them with several standard metrics. Finally, the generalization nature of the PETR output is demonstrated using two representative algorithms for feature extraction.
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Affiliation(s)
- Dario Dematties
- Northwestern
Argonne Institute of Science and Engineering, Northwestern University, 2205 Tech Drive Suite 1-160, Evanston, 60208 Illinois, United States,Mathematics
and Computer Science Division, Argonne National
Laboratory, 9700 S. Cass
Avenue, Lemont, 60439 Illinois, United States
| | - Chenyu Wen
- NanoDynamicsLab,
Laboratory of Biophysics, Wageningen University, Stippeneng 4, Wageningen 6708 WE, The
Netherlands,Department
of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, The Netherlands
| | - Shi-Li Zhang
- Department
of Electrical Engineering, Uppsala University, Lägerhyddsvägen 1,
752 37, SE-751 03 Uppsala, Sweden,
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26
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Barnes B, Wang P, Wang Y. Parallel Field-Effect Nanosensors Detect Trace Biomarkers Rapidly at Physiological High-Ionic-Strength Conditions. ACS Sens 2022; 7:2537-2544. [PMID: 35700322 PMCID: PMC9509463 DOI: 10.1021/acssensors.2c00229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Sensitivity and speed of detection are contradicting demands that profoundly impact the electrical sensing of molecular biomarkers. Although single-molecule sensitivity can now be achieved with single-nanotube field-effect transistors, these tiny sensors, with a diameter less than 1 nm, may take hours to days to capture the molecular target at trace concentrations. Here, we show that this sensitivity-speed challenge can be addressed using covalently functionalized double-wall CNTs that form many individualized, parallel pathways between two electrodes. Each carrier that travels across the electrodes is forced to take one of these pathways that are fully gated chemically by the target-probe binding events. This sensor design allows us to electrically detect Lyme disease oligonucleotide biomarkers directly at the physiological high-salt concentrations, simultaneously achieving both ultrahigh sensitivity (as low as 1 fM) and detection speed (<15 s). This unexpectedly simple strategy may open opportunities for sensor designs to broadly achieve instant detection of trace biomarkers and real-time probing of biomolecular functions directly at their physiological states.
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27
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Al Mannai A, Al-Ansari T, Saoud KM. Quantification of Serum Exosome Biomarkers Using 3D Nanoporous Gold and Spectrophotometry. SENSORS (BASEL, SWITZERLAND) 2022; 22:6347. [PMID: 36080806 PMCID: PMC9460504 DOI: 10.3390/s22176347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 06/15/2023]
Abstract
Tumor-derived exosomes may provide biomarkers for cancer treatment. Using sputtering technology, an affinity-based device to capture exosomes was developed using nanoporous substrate (NPG)-coated silicon microscopy. Immunology-based techniques detect and purify exosomes using gold coating with a specific antigen. Inverted fluorescent microscopy was used to detect target exosomes quantitatively utilizing fluorescent nanospheres as the label. We quantified the expression of CD63 surface protein markers on exosomes from conditioned culture media of breast cancer cells. The exosomes that targeted specific proteins with controls were statistically analyzed and compared to those that targeted non-specific proteins. Results from SEM showed that the exosomes were circular, between 30 and 150 nanometers in size. The porous gold substrates captured more exosomes than the nonporous substrates. Nitric acid treatments at different times resulted in a variety of pore sizes. Despite the increase in the size of the pores, the number of exosomes found in the porous gold substrate treated for 10 min nearly doubled compared to the one treated for 5 min. In this work, a fluorescence biosensor was developed to detect breast cancer exosomes using nanoporous gold substrates (NPG). Assay and model exosomes of specific breast cancer cells showed that exosomes exhibit diagnostic surface protein markers, reflecting the protein profile of their parent cells. Furthermore, the specific binding between the exosome surface antibodies and the targets identified the CD63 biomarkers on the exosome, suggesting these markers' diagnostic potential. This study can accelerate exosome research in determining tumor-related exosomes and develop novel cancer diagnostic methods.
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Affiliation(s)
- Amera Al Mannai
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34111, Qatar
| | - Tareq Al-Ansari
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34111, Qatar
| | - Khaled M. Saoud
- Liberal Arts and Science Program, Virginia Commonwealth University, Doha P.O. Box 8095, Qatar
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28
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Chen X, Liu Y, Liu X, Lu C. Nanoparticle-based single molecule fluorescent probes. LUMINESCENCE 2022; 37:1808-1821. [PMID: 35982510 DOI: 10.1002/bio.4364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/13/2022] [Accepted: 08/16/2022] [Indexed: 11/11/2022]
Abstract
Single molecule fluorescent probes have attracted considerable attention duet to their ultimate sensitivity, fast response, low sample consumption, and high signal-to-noise ratio. Nanoparticles with outstanding optical properties make them perfect candidates for probes in application of single molecule detection. In this review, we focus on various kinds of nanoparticles acting as single molecule fluorescent probes, including quantum dots, upconverting fluorescent nanoparticles, carbon dots, single-wall carbon nanotubes, fluorescent nanodiamonds, polymeric nanoparticles, nanoclusters, and metallic nanoparticles. Optical properties of various nanoparticles and their recent application in single molecule fluorescent probes are explored. How nanoparticles boost the sensitivity of detection is emphasized in combination with different sensing strategies. Future trends of nanoparticles in single molecule detection are also discussed. We hope this review can provide practical guidance for researchers who work on nanoparticle-based single molecule fluorescent probes.
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Affiliation(s)
- Xueqian Chen
- Green Catalysis Center and College of Chemistry, Zhengzhou University, Zhengzhou, China
| | - Yuhao Liu
- Green Catalysis Center and College of Chemistry, Zhengzhou University, Zhengzhou, China
| | - Xiaoting Liu
- Green Catalysis Center and College of Chemistry, Zhengzhou University, Zhengzhou, China
| | - Chao Lu
- Green Catalysis Center and College of Chemistry, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China
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29
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Yu P, Chen L, Zhang Y, Zhao S, Chen Z, Hu Y, Liu J, Yang Y, Shi J, Yao Z, Hong W. Single-Molecule Tunneling Sensors for Nitrobenzene Explosives. Anal Chem 2022; 94:12042-12050. [PMID: 35971273 DOI: 10.1021/acs.analchem.2c01592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The tunneling current through the single-molecule junctions principally offers the ultimate solution for chemical and biochemical sensing via the interactions between probes and target analytes at the single-molecule level. However, it remains unexplored to achieve the sensitive and selective detection of targeted analytes using single-molecule junction techniques due to the challenge in quantitative evaluation of sensing sensitivity and selectivity. Herein, we demonstrate a single-molecule tunneling sensor for the highly sensitive and selective detection of nitrobenzene explosives using scanning tunneling microscope break junction (STM-BJ). Taking advantage of π-π stacking interactions between the molecular probes and nitrobenzene explosives, we use a spectral clustering algorithm to assign the signal of probes and π-stacked probes for sensitively detecting the targeted analytes and the distinguishable conductance change of probes when interacting with different nitroaromatic explosive compounds for selective detection. We find that pronounced conductance changes up to 0.8 orders of magnitude when the probes interact with TNT. Also, we obtain a sensitivity of up to ∼10 pM for TNT and high sensitivity for eight TNT analogues. Combined with theoretical calculations, we discover that the harness of the destructive quantum interference of the probe M1OH after interacting with TNT leads to high selectivity in sensing with TNT. Our work demonstrates the great potential of the single-molecule tunneling current for environmental sensing molecules with high selectivity and sensitivity.
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Affiliation(s)
- Peikai Yu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Lichuan Chen
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Yanxi Zhang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Shiqiang Zhao
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Zhixin Chen
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Yong Hu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Junyang Liu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Yang Yang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Jia Shi
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
| | - Zhiyi Yao
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083 Beijing, China
| | - Wenjing Hong
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, 361005 Xiamen, China
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30
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Hedhly M, Wang Y, Zeng S, Ouerghi F, Zhou J, Humbert G. Highly Sensitive Plasmonic Waveguide Biosensor Based on Phase Singularity-Enhanced Goos-Hänchen Shift. BIOSENSORS 2022; 12:bios12070457. [PMID: 35884260 PMCID: PMC9312834 DOI: 10.3390/bios12070457] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/14/2022] [Accepted: 06/22/2022] [Indexed: 05/27/2023]
Abstract
The detection for small molecules with low concentrations is known to be challenging for current chemical and biological sensors. In this work, we designed a highly sensitive plasmonic biosensor based on the symmetric metal cladding plasmonic waveguide (SMCW) structure for the detection of biomolecules. By precisely designing the configuration and tuning the thickness of the guiding layer, ultra-high order modes can be excited, which generates a steep phase change and a large position shift from the Goos−Hänchen effect (with respect to refractive index changes). This position shift is related to the sharpness of the optical phase change from the reflected signal of the SPR sensing substrate and can be directly measured by a position sensor. Based on our knowledge, this is the first experimental study done using this configuration. Experimental results showed a lateral position signal change > 90 µm for glycerol with a sensitivity figure-of-merit of 2.33 × 104 µm/RIU and more than 15 µm for 10−4 M biotin, which is a low molecular weight biomolecule (less than 400 Da) and difficult to be detected with traditional SPR sensing techniques. Through integrating the waveguide with a guiding layer, a strong improvement in the electric field, as well as sensitivity have been achieved. The lateral position shift has been further improved from 14.17 µm to 284 µm compared with conventional SPR substrate with 50 nm gold on single side. The as-reported sensing technique allows for the detection of ultra-small biological molecules and will play an important role in biomedical and clinical diagnostics.
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Affiliation(s)
- Manel Hedhly
- XLIM Research Institute, UMR 7252 CNRS/University of Limoges, 123 Avenue Albert Thomas, 87060 Limoges, France; (M.H.); (Y.W.); (G.H.)
- Faculty of Sciences of Tunis, Université de Tunis El Manar, 2092-El Manar, Tunis 1068, Tunisia;
| | - Yuye Wang
- XLIM Research Institute, UMR 7252 CNRS/University of Limoges, 123 Avenue Albert Thomas, 87060 Limoges, France; (M.H.); (Y.W.); (G.H.)
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong 999077, China
| | - Shuwen Zeng
- XLIM Research Institute, UMR 7252 CNRS/University of Limoges, 123 Avenue Albert Thomas, 87060 Limoges, France; (M.H.); (Y.W.); (G.H.)
- Light, Nanomaterials & Nanotechnologies (L2n), CNRS-ERL 7004, Université de Technologie de Troyes, 10000 Troyes, France
| | - Faouzi Ouerghi
- Faculty of Sciences of Tunis, Université de Tunis El Manar, 2092-El Manar, Tunis 1068, Tunisia;
| | - Jun Zhou
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, No. 818 Fenghua Road, Ningbo 315211, China;
| | - Georges Humbert
- XLIM Research Institute, UMR 7252 CNRS/University of Limoges, 123 Avenue Albert Thomas, 87060 Limoges, France; (M.H.); (Y.W.); (G.H.)
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31
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Zhang Q, Li CC, Ma F, Luo X, Zhang CY. Catalytic single-molecule Förster resonance energy transfer biosensor for uracil-DNA glycosylase detection and cellular imaging. Biosens Bioelectron 2022; 213:114447. [PMID: 35679648 DOI: 10.1016/j.bios.2022.114447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/21/2022] [Accepted: 05/30/2022] [Indexed: 11/02/2022]
Abstract
Uracil-DNA glycosylase (UDG) is essential to the maintenance of genomic integrity due to its critical role in base excision repair pathway. However, existing UDG assays suffer from laborious procedures, poor specificity, and limited sensitivity. In this research, we construct a catalytic single-molecule Föster resonance energy transfer (FRET) biosensor for in vitro and in vivo biosensing of UDG activity. Target UDG can remove uracil base from the detection probe and cause the cleavage of detection probe by apurinic/apyrimidinic endonuclease (APE1), which exposes its toehold domain and initiates catalytic assembly of two fluorescently labeled hairpin probes via toehold-meditated strand displacement reaction (SDA) to generate abundant DNA duplexes with amplified FRET signal. In this assay, target UDG signal is amplified via enzyme-free catalytic reaction and the whole reaction may be completed in one step, which greatly simplifies the assay procedure, reduces the assay time, and facilitates the cellular imaging. This biosensor enables specific and sensitive measurement of UDG down to 0.00029 U/mL, and it is suitable for analyzing kinetic parameters, screening inhibitors, and even imaging endogenous UDG in live cells. Importantly, this biosensor can visually quantify various DNA repair enzymes by rationally altering DNA substrates.
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Affiliation(s)
- Qian Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Chen-Chen Li
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China
| | - Fei Ma
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
| | - Xiliang Luo
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China.
| | - Chun-Yang Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China.
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32
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Kim JM, Kang YM. Optical Fluorescence Imaging of Native Proteins Using a Fluorescent Probe with a Cell-Membrane-Permeable Carboxyl Group. Int J Mol Sci 2022; 23:ijms23105841. [PMID: 35628651 PMCID: PMC9143923 DOI: 10.3390/ijms23105841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/07/2022] [Accepted: 05/21/2022] [Indexed: 12/10/2022] Open
Abstract
Although various methods for selective protein tagging have been established, their ap plications are limited by the low fluorescent tagging efficiency of specific terminal regions of the native proteins of interest (NPIs). In this study, the highly sensitive fluorescence imaging of single NPIs was demonstrated using a eukaryotic translation mechanism involving a free carboxyl group of a cell-permeable fluorescent dye. In living cells, the carboxyl group of cell-permeable fluorescent dyes reacted with the lysine residues of acceptor peptides (AP or AVI-Tag). Genetically encoded recognition demonstrated that the efficiency of fluorescence labeling was nearly 100%. Nickel-nitrilotriacetic acid (Ni-NTA) beads bound efficiently to a single NPI for detection in a cell without purification. Our labeling approach satisfied the necessary conditions for measuring fluorescently labeled NPI using universal carboxyl fluorescent dyes. This approach is expected to be useful for resolving complex biological/ecological issues and robust single-molecule analyses of dynamic processes, in addition to applications in ultra-sensitive NPIs detection using nanotechnology.
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Affiliation(s)
- Jung Min Kim
- BK21 FOUR R&E Center for Environmental Science and Ecological Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02842, Korea
- Correspondence: ; Tel.: +82-2-3290-4778
| | - Young-Mi Kang
- Department of Orthopaedic Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea;
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33
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Habimana JDD, Huang R, Muhoza B, Kalisa YN, Han X, Deng W, Li Z. Mechanistic insights of CRISPR/Cas nucleases for programmable targeting and early-stage diagnosis: A review. Biosens Bioelectron 2022; 203:114033. [DOI: 10.1016/j.bios.2022.114033] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 12/21/2022]
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34
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Chauhan N, Saxena K, Jain U. Single molecule detection; from microscopy to sensors. Int J Biol Macromol 2022; 209:1389-1401. [PMID: 35413320 DOI: 10.1016/j.ijbiomac.2022.04.038] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 01/31/2023]
Abstract
Single molecule detection is necessary to find out physical, chemical properties and their mechanism involved in the normal functioning of body cells. In this way, they can provide a new direction to the healthcare system. Various techniques have been developed and employed for their successful detection. Herein, we have emphasized various traditional methods as well as biosensing technology which offer single molecule sensitivity. The various methods including plasmonic resonance, nanopores, whispering gallery mode, Simoa assay and recognition tunneling are discussed in the initial part which has been followed by a discussion about biosensor-based detection. Plasmonic, SERS, CRISPR/Cas, and other types of biosensors are focused in this review and found to be highly sensitive for single molecule detection. This review provides an overview of progression in different techniques employed for single molecule detection.
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Affiliation(s)
- Nidhi Chauhan
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida 201313, U.P., India
| | - Kirti Saxena
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida 201313, U.P., India
| | - Utkarsh Jain
- Amity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida 201313, U.P., India.
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35
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Serafinelli C, Fantoni A, Alegria ECBA, Vieira M. Plasmonic Metal Nanoparticles Hybridized with 2D Nanomaterials for SERS Detection: A Review. BIOSENSORS 2022; 12:bios12040225. [PMID: 35448285 PMCID: PMC9029226 DOI: 10.3390/bios12040225] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 05/27/2023]
Abstract
In SERS analysis, the specificity of molecular fingerprints is combined with potential single-molecule sensitivity so that is an attractive tool to detect molecules in trace amounts. Although several substrates have been widely used from early on, there are still some problems such as the difficulties to bind some molecules to the substrate. With the development of nanotechnology, an increasing interest has been focused on plasmonic metal nanoparticles hybridized with (2D) nanomaterials due to their unique properties. More frequently, the excellent properties of the hybrids compounds have been used to improve the drawbacks of the SERS platforms in order to create a system with outstanding properties. In this review, the physics and working principles of SERS will be provided along with the properties of differently shaped metal nanoparticles. After that, an overview on how the hybrid compounds can be engineered to obtain the SERS platform with unique properties will be given.
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Affiliation(s)
- Caterina Serafinelli
- Instituto Superior de Engenharia de Lisboa—Instituto Politécnico de Lisboa, 1949-014 Lisboa, Portugal; (A.F.); (E.C.B.A.A.); (M.V.)
- Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
- CTS—Centre of Technology and Systems, Caparica, 2829-516 Almada, Portugal
- Department of Electrotechnical and Computer Engineering, Faculty of Science and Technology, Universidade NOVA de Lisboa, DEE-FCT-UNL, Caparica, 2829-516 Almada, Portugal
| | - Alessandro Fantoni
- Instituto Superior de Engenharia de Lisboa—Instituto Politécnico de Lisboa, 1949-014 Lisboa, Portugal; (A.F.); (E.C.B.A.A.); (M.V.)
- CTS—Centre of Technology and Systems, Caparica, 2829-516 Almada, Portugal
| | - Elisabete C. B. A. Alegria
- Instituto Superior de Engenharia de Lisboa—Instituto Politécnico de Lisboa, 1949-014 Lisboa, Portugal; (A.F.); (E.C.B.A.A.); (M.V.)
- Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
| | - Manuela Vieira
- Instituto Superior de Engenharia de Lisboa—Instituto Politécnico de Lisboa, 1949-014 Lisboa, Portugal; (A.F.); (E.C.B.A.A.); (M.V.)
- CTS—Centre of Technology and Systems, Caparica, 2829-516 Almada, Portugal
- Department of Electrotechnical and Computer Engineering, Faculty of Science and Technology, Universidade NOVA de Lisboa, DEE-FCT-UNL, Caparica, 2829-516 Almada, Portugal
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36
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Wu B, Lou Y, Wu D, Min Q, Wan X, Zhang H, Yu Y, Ma J, Si G, Pang Y. Directivity-Enhanced Detection of a Single Nanoparticle Using a Plasmonic Slot Antenna. NANO LETTERS 2022; 22:2374-2380. [PMID: 35285643 DOI: 10.1021/acs.nanolett.1c04949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In situ refractive index sensors integrated with nanoaperture-based optical tweezers possess stable and sensitive responsivity to single nanoparticles. In most existing works, detection events are only identified using the total light intensity with directivity information ignored, leading to a low signal-to-noise ratio. Here, we propose to detect an optically trapped 20 nm silica particle by monitoring directivity of a plasmonic antenna. The main and secondary radiation lobes of the antenna reverse upon trapping because the particle-induced perturbation negates the relative phase between two antenna elements, leading to a significant change of the antenna front-to-back ratio. As a result, we obtain a signal-to-noise ratio of 20, with an order-of-magnitude improvement as compared to the intensity-only detection scheme.
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Affiliation(s)
- Bei Wu
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Yuanhao Lou
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Dan Wu
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Qiuhong Min
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Xinchen Wan
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Hongyuan Zhang
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Yarong Yu
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Jian Ma
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Gangzheng Si
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Yuanjie Pang
- School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
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37
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Zhang M, Pan J, Xu X, Fu G, Zhang L, Sun P, Yan X, Liu F, Wang C, Liu X, Lu G. Gold-Trisoctahedra-Coated Capillary-Based SERS Platform for Microsampling and Sensitive Detection of Trace Fentanyl. Anal Chem 2022; 94:4850-4858. [PMID: 35258921 DOI: 10.1021/acs.analchem.2c00157] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A cost-effective and highly reproducible capillary-based surface-enhanced Raman scattering (SERS) platform for sensitive, portable detection and identification of fentanyl is presented. Through encapsulating gold trisoctahedra (Au TOH) in the capillary tube for the first time, the SERS platform was constructed by combining the superior SERS properties of Au TOH and the advantages of capillaries in SERS signal amplification, facile sample extraction, and portable trace analysis. The effects of the size and density of Au TOH on the SERS performance were investigated by experiments and simulations, which showed that the maximum SERS enhancement was obtained for Au TOH with the size of 75 nm when particle density reached 74.54 counts/μm2. The proposed SERS platform possesses good reproducibility with a relative standard deviation (RSD) of less than 5%. As a demonstration, the platform was applied to detect fentanyl spiked in aqueous solution and serum samples with a limit of detection (LOD) as low as 1.86 and 40.63 ng/mL, respectively. We also validated the feasibility of the designed platform for accurate identification of trace fentanyl adulterated in heroin at mass concentration down to 0.1% (10 ng in 10 μg total). Overall, this work advances more explorations on capillary-based SERS platform to benefit portable trace analysis.
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Affiliation(s)
- Meiling Zhang
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Jialin Pan
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Xiaoyu Xu
- Department of Public Security of Jilin Province, Changchun 130051, People's Republic of China
| | - Gege Fu
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Li Zhang
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Jilin University, Xinmin Street, Changchun, Jilin Province 130021, People's Republic of China
| | - Peng Sun
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Xu Yan
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Fangmeng Liu
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Chenguang Wang
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Xiaomin Liu
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
| | - Geyu Lu
- State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun 130012, People's Republic of China
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Fried JP, Wu Y, Tilley RD, Gooding JJ. Optical Nanopore Sensors for Quantitative Analysis. NANO LETTERS 2022; 22:869-880. [PMID: 35089719 DOI: 10.1021/acs.nanolett.1c03976] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Nanopore sensors have received significant interest for the detection of clinically important biomarkers with single-molecule resolution. These sensors typically operate by detecting changes in the ionic current through a nanopore due to the translocation of an analyte. Recently, there has been interest in developing optical readout strategies for nanopore sensors for quantitative analysis. This is because they can utilize wide-field microscopy to independently monitor many nanopores within a high-density array. This significantly increases the amount of statistics that can be obtained, thus enabling the analysis of analytes present at ultralow concentrations. Here, we review the use of optical nanopore sensing strategies for quantitative analysis. We discuss optical nanopore sensing assays that have been developed to detect clinically relevant biomarkers, the potential for multiplexing such measurements, and techniques to fabricate high density arrays of nanopores with a view toward the use of these devices for clinical applications.
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Affiliation(s)
- Jasper P Fried
- School of Chemistry, Australian Centre for NanoMedicine, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Yanfang Wu
- School of Chemistry, Australian Centre for NanoMedicine, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Richard D Tilley
- School of Chemistry, Australian Centre for NanoMedicine, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - J Justin Gooding
- School of Chemistry, Australian Centre for NanoMedicine, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
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39
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Molecular electronics sensors on a scalable semiconductor chip: A platform for single-molecule measurement of binding kinetics and enzyme activity. Proc Natl Acad Sci U S A 2022; 119:2112812119. [PMID: 35074874 PMCID: PMC8812571 DOI: 10.1073/pnas.2112812119] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2021] [Indexed: 12/26/2022] Open
Abstract
Detection of molecular interactions is the foundation for many important biotechnology applications in society and industry, such as drug discovery, diagnostics, and DNA sequencing. This report describes a broadly applicable platform for detecting molecular interactions at the single-molecule scale, in real-time, label-free, and potentially highly multiplexable fashion, using single-molecule sensors on a highly scalable semiconductor sensor array chip. Such chips are both practically manufacturable in the near term, and have a durable long-term scaling roadmap, thus providing an ideal way to bring the power of modern chip technology to the broad area of biosensing. This work also realizes a 50-year-old scientific vision of integrating single molecules into electronic chips to achieve the ultimate miniaturization of electronics. For nearly 50 years, the vision of using single molecules in circuits has been seen as providing the ultimate miniaturization of electronic chips. An advanced example of such a molecular electronics chip is presented here, with the important distinction that the molecular circuit elements play the role of general-purpose single-molecule sensors. The device consists of a semiconductor chip with a scalable array architecture. Each array element contains a synthetic molecular wire assembled to span nanoelectrodes in a current monitoring circuit. A central conjugation site is used to attach a single probe molecule that defines the target of the sensor. The chip digitizes the resulting picoamp-scale current-versus-time readout from each sensor element of the array at a rate of 1,000 frames per second. This provides detailed electrical signatures of the single-molecule interactions between the probe and targets present in a solution-phase test sample. This platform is used to measure the interaction kinetics of single molecules, without the use of labels, in a massively parallel fashion. To demonstrate broad applicability, examples are shown for probe molecule binding, including DNA oligos, aptamers, antibodies, and antigens, and the activity of enzymes relevant to diagnostics and sequencing, including a CRISPR/Cas enzyme binding a target DNA, and a DNA polymerase enzyme incorporating nucleotides as it copies a DNA template. All of these applications are accomplished with high sensitivity and resolution, on a manufacturable, scalable, all-electronic semiconductor chip device, thereby bringing the power of modern chips to these diverse areas of biosensing.
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40
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Macchia E, Torricelli F, Bollella P, Sarcina L, Tricase A, Di Franco C, Österbacka R, Kovács-Vajna ZM, Scamarcio G, Torsi L. Large-Area Interfaces for Single-Molecule Label-free Bioelectronic Detection. Chem Rev 2022; 122:4636-4699. [PMID: 35077645 DOI: 10.1021/acs.chemrev.1c00290] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Bioelectronic transducing surfaces that are nanometric in size have been the main route to detect single molecules. Though enabling the study of rarer events, such methodologies are not suited to assay at concentrations below the nanomolar level. Bioelectronic field-effect-transistors with a wide (μm2-mm2) transducing interface are also assumed to be not suited, because the molecule to be detected is orders of magnitude smaller than the transducing surface. Indeed, it is like seeing changes on the surface of a one-kilometer-wide pond when a droplet of water falls on it. However, it is a fact that a number of large-area transistors have been shown to detect at a limit of detection lower than femtomolar; they are also fast and hence innately suitable for point-of-care applications. This review critically discusses key elements, such as sensing materials, FET-structures, and target molecules that can be selectively assayed. The amplification effects enabling extremely sensitive large-area bioelectronic sensing are also addressed.
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Affiliation(s)
- Eleonora Macchia
- Faculty of Science and Engineering, Åbo Akademi University, 20500 Turku, Finland
| | - Fabrizio Torricelli
- Dipartimento Ingegneria dell'Informazione, Università degli Studi di Brescia, 25123 Brescia, Italy
| | - Paolo Bollella
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy.,Centre for Colloid and Surface Science - Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy
| | - Lucia Sarcina
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy
| | - Angelo Tricase
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy
| | - Cinzia Di Franco
- CNR, Istituto di Fotonica e Nanotecnologie, Sede di Bari, 70125 Bari, Italy
| | - Ronald Österbacka
- Faculty of Science and Engineering, Åbo Akademi University, 20500 Turku, Finland
| | - Zsolt M Kovács-Vajna
- Dipartimento Ingegneria dell'Informazione, Università degli Studi di Brescia, 25123 Brescia, Italy
| | - Gaetano Scamarcio
- CNR, Istituto di Fotonica e Nanotecnologie, Sede di Bari, 70125 Bari, Italy.,Dipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy
| | - Luisa Torsi
- Faculty of Science and Engineering, Åbo Akademi University, 20500 Turku, Finland.,Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy.,Centre for Colloid and Surface Science - Università degli Studi di Bari "Aldo Moro", 70125 Bari, Italy
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41
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Altug H, Oh SH, Maier SA, Homola J. Advances and applications of nanophotonic biosensors. NATURE NANOTECHNOLOGY 2022; 17:5-16. [PMID: 35046571 DOI: 10.1038/s41565-021-01045-5] [Citation(s) in RCA: 158] [Impact Index Per Article: 79.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 11/02/2021] [Indexed: 05/14/2023]
Abstract
Nanophotonic devices, which control light in subwavelength volumes and enhance light-matter interactions, have opened up exciting prospects for biosensing. Numerous nanophotonic biosensors have emerged to address the limitations of the current bioanalytical methods in terms of sensitivity, throughput, ease-of-use and miniaturization. In this Review, we provide an overview of the recent developments of label-free nanophotonic biosensors using evanescent-field-based sensing with plasmon resonances in metals and Mie resonances in dielectrics. We highlight the prospects of achieving an improved sensor performance and added functionalities by leveraging nanostructures and on-chip and optoelectronic integration, as well as microfluidics, biochemistry and data science toolkits. We also discuss open challenges in nanophotonic biosensing, such as reducing the overall cost and handling of complex biological samples, and provide an outlook for future opportunities to improve these technologies and thereby increase their impact in terms of improving health and safety.
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Affiliation(s)
- Hatice Altug
- Laboratory of Bionanophotonic Systems, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
| | - Sang-Hyun Oh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
| | - Stefan A Maier
- Chair in Hybrid Nanosystems, Nanoinstitut Munich, Faculty of Physics, Ludwig-Maximilians Universität München, Munich, Germany.
- Department of Physics, Imperial College London, London, UK.
| | - Jiří Homola
- Institute of Photonics and Electronics of the Czech Academy of Sciences, Prague, Czech Republic.
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42
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Pajerski W, Chytrosz-Wrobel P, Golda-Cepa M, Pawlyta M, Reczynski W, Ochonska D, Brzychczy-Wloch M, Kotarba A. Opposite effects of gold and silver nanoparticle decoration of graphenic surfaces on bacterial attachment. NEW J CHEM 2022. [DOI: 10.1039/d2nj00648k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The interaction between bacteria and nanoparticles is currently a central topic in bionanotechnology.
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Affiliation(s)
- Wojciech Pajerski
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland
- J. Heyrovský Institute of Physical Chemistry, Czech Academy of Sciences, Dolejškova 3, 18223 Prague, Czech Republic
| | - Paulina Chytrosz-Wrobel
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland
| | - Monika Golda-Cepa
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland
| | - Miroslawa Pawlyta
- Materials Research Laboratory, Faculty of Mechanical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Witold Reczynski
- Faculty of Material Science and Ceramics, AGH University of Science and Technology, A. Mickiewicza 30, 30-059 Krakow, Poland
| | - Dorota Ochonska
- Department of Molecular Medical Microbiology, Chair of Microbiology, Faculty of Medicine, Jagiellonian University Medical College, Czysta 18, 31-121 Krakow, Poland
| | - Monika Brzychczy-Wloch
- Department of Molecular Medical Microbiology, Chair of Microbiology, Faculty of Medicine, Jagiellonian University Medical College, Czysta 18, 31-121 Krakow, Poland
| | - Andrzej Kotarba
- Faculty of Chemistry, Jagiellonian University in Krakow, Gronostajowa 2, 30-387 Krakow, Poland
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43
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van Dongen JE, Spoelstra LR, Berendsen JTW, Loessberg-Zahl JT, Eijkel JCT, Segerink LI. A Multiplexable Plasmonic Hairpin-DNA Sensor Based On Target-specific Tether Dynamics. ACS Sens 2021; 6:4297-4303. [PMID: 34851614 PMCID: PMC8715532 DOI: 10.1021/acssensors.1c02097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
The need for measurements
of multiple biomarkers simultaneously
at subnanomolar concentrations asks for the development of new sensors
with high sensitivity, specificity, precision, and accuracy. Currently,
multiplexed sensing in single molecule sensors increases the complexity
of the system in terms of reagents and sample read-out. In this letter,
we propose a novel approach to multiplex hairpin-based single-DNA
molecule sensors, which overcomes the limitations of the present approaches
for multiplexing. By target-dependent ssDNA hairpin design, we can
create DNA tethers that have distinct tether dynamics upon target
binding. Our numerical model shows that by changing the stem length
of the ssDNA hairpin, significantly different dynamic tether behavior
will be observed. By exploiting the distance-dependent coupling of
AuNPs to gold films, we can probe this dynamic behavior along the z-axis using a simple laser equipped microscope.
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Affiliation(s)
- Jeanne Elisabeth van Dongen
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
| | - Laurens Rudi Spoelstra
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
| | - Johanna Theodora Wilhelmina Berendsen
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
| | - Joshua Taylor Loessberg-Zahl
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
| | - Jan Cornelis Titus Eijkel
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
| | - Loes Irene Segerink
- BIOS Lab on a Chip Group, MESA+ & TechMed Institutes, Max Planck Center for Complex Fluid Dynamics, University of Twente, P.O. Box 217 7500 AE Enschede, The Netherlands
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44
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Ma F, Li CC, Zhang CY. Nucleic acid amplification-integrated single-molecule fluorescence imaging for in vitro and in vivo biosensing. Chem Commun (Camb) 2021; 57:13415-13428. [PMID: 34796887 DOI: 10.1039/d1cc04799j] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Single-molecule fluorescence imaging is among the most advanced analytical technologies and has been widely adopted for biosensing due to its distinct advantages of simplicity, rapidity, high sensitivity, low sample consumption, and visualization capability. Recently, a variety of nucleic acid amplification approaches have been developed to provide a straightforward and highly efficient way for amplifying low abundance target signals. The integration of single-molecule fluorescence imaging with nucleic acid amplification has greatly facilitated the construction of various fluorescent biosensors for in vitro and in vivo detection of DNAs, RNAs, enzymes, and live cells with high sensitivity and good selectivity. Herein, we review the advances in the development of fluorescent biosensors by integrating single-molecule fluorescence imaging with nucleic acid amplification based on enzyme (e.g., DNA polymerase, RNA polymerase, exonuclease, and endonuclease)-assisted and enzyme-free (e.g., catalytic hairpin assembly, entropy-driven DNA amplification, ligation chain reaction, and hybridization chain reaction) strategies, and summarize the principles, features, and in vitro and in vivo applications of the emerging biosensors. Moreover, we discuss the remaining challenges and future directions in this area. This review may inspire the development of new signal-amplified single-molecule biosensors and promote their practical applications in fundamental and clinical research.
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Affiliation(s)
- Fei Ma
- Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China. .,School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Chen-Chen Li
- Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China. .,Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Chun-Yang Zhang
- Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
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45
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Abstract
This paper provides a perspective on potential applications of a new single-molecule technique, viz., the nanopore electro-osmotic trap (NEOtrap). This solid-state nanopore-based method uses locally induced electro-osmosis to form a hydrodynamic trap for single molecules. Ionic current recordings allow one to study an unlabeled protein or nanoparticle of arbitrary charge that can be held in the nanopore's most sensitive region for very long times. After motivating the need for improved single-molecule technologies, we sketch various possible technical extensions and combinations of the NEOtrap. We lay out diverse applications in biosensing, enzymology, protein folding, protein dynamics, fingerprinting of proteins, detecting post-translational modifications, and all that at the level of single proteins - illustrating the unique versatility and potential of the NEOtrap.
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Affiliation(s)
- Sonja Schmid
- Nanodynamics Lab, Laboratory of Biophysics, Wageningen University, Stippeneng 4, 6708WE Wageningen, the Netherlands
| | - Cees Dekker
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
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46
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Khanna K, Mandal S, Blanchard AT, Tewari M, Johnson-Buck A, Walter NG. Rapid kinetic fingerprinting of single nucleic acid molecules by a FRET-based dynamic nanosensor. Biosens Bioelectron 2021; 190:113433. [PMID: 34171818 PMCID: PMC8295208 DOI: 10.1016/j.bios.2021.113433] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/08/2021] [Accepted: 06/10/2021] [Indexed: 01/05/2023]
Abstract
Biofluid-derived cell-free nucleic acids such as microRNAs (miRNAs) and circulating tumor-derived DNAs (ctDNAs) have emerged as promising disease biomarkers. Conventional detection of these biomarkers by digital PCR and next generation sequencing, although highly sensitive, requires time-consuming extraction and amplification steps that also increase the risk of sample loss and cross-contamination. To achieve the direct, rapid, and amplification-free detection of miRNAs and ctDNAs with near-perfect specificity and single-molecule level sensitivity, we herein designed a single-molecule kinetic fingerprinting assay, termed intramolecular single-molecule recognition through equilibrium Poisson sampling (iSiMREPS). iSiMREPS exploits a dynamic DNA nanosensor comprising a surface anchor and a pair of fluorescent detection probes: one probe captures a target molecule onto the surface, while the other transiently interrogates the target to generate kinetic fingerprints by intramolecular single-molecule Förster resonance energy transfer (smFRET) that are recorded by single-molecule fluorescence microscopy and identify the target after kinetic filtering and data analysis. We optimize the sensor design, use formamide to further accelerate the fingerprinting kinetics, and maximize sensitivity by removing non-target-bound probes using toehold-mediated strand displacement to reduce background. We show that iSiMREPS can detect, in as little as 10 s, two distinct, promising cancer biomarkers-miR-141 and a common EGFR exon 19 deletion-reaching a limit of detection (LOD) of ~3 fM and a mutant allele fraction among excess wild-type as low as 1 in 1 million, or 0.0001%. We anticipate that iSiMREPS will find utility in research and clinical diagnostics based on its features of rapid detection, high specificity, sensitivity, and generalizability.
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Affiliation(s)
- Kunal Khanna
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Shankar Mandal
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Aaron T Blanchard
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States; Michigan Society of Fellows, University of Michigan, Ann Arbor, MI 48109, United States
| | - Muneesh Tewari
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, United States
| | - Alexander Johnson-Buck
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States.
| | - Nils G Walter
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, United States.
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47
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Park C, Lim JW, Park G, Kim HO, Lee S, Kwon YH, Kim SE, Yeom M, Na W, Song D, Kim E, Haam S. Kinetic stability modulation of polymeric nanoparticles for enhanced detection of influenza virus via penetration of viral fusion peptides. J Mater Chem B 2021; 9:9658-9669. [PMID: 34647566 DOI: 10.1039/d1tb01847g] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Specific interactions between viruses and host cells provide essential insights into material science-based strategies to combat emerging viral diseases. pH-triggered viral fusion is ubiquitous to multiple viral families and is important for understanding the viral infection cycle. Inspired by this process, virus detection has been achieved using nanomaterials with host-mimetic membranes, enabling interactions with amphiphilic hemagglutinin fusion peptides of viruses. Most research has been on designing functional nanoparticles with fusogenic capability for virus detection, and there has been little exploitation of the kinetic stability to alter the ability of nanoparticles to interact with viral membranes and improve their sensing performance. In this study, a homogeneous fluorescent assay using self-assembled polymeric nanoparticles (PNPs) with tunable responsiveness to external stimuli is developed for rapid and straightforward detection of an activated influenza A virus. Dissociation of PNPs induced by virus insertion can be readily controlled by varying the fraction of hydrophilic segments in copolymers constituting PNPs, giving rise to fluorescence signals within 30 min and detection of various influenza viruses, including H9N2, CA04(H1N1), H4N6, and H6N8. Therefore, the designs demonstrated in this study propose underlying approaches for utilizing engineered PNPs through modulation of their kinetic stability for direct and sensitive identification of infectious viruses.
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Affiliation(s)
- Chaewon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
| | - Jong-Woo Lim
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
| | - Geunseon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
| | - Hyun-Ouk Kim
- Division of Chemical Engineering and Bioengineering College of Art, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Sojeong Lee
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
| | - Yuri H Kwon
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
| | | | - Minjoo Yeom
- College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
| | - Woonsung Na
- College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Republic of Korea.,Animal Medical Institute, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Daesub Song
- College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
| | - Eunjung Kim
- Division of Bioengineering, Incheon National University, Incheon 22012, Republic of Korea.
| | - Seungjoo Haam
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.
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48
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49
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Dahlin A. Biochemical Sensing with Nanoplasmonic Architectures: We Know How but Do We Know Why? ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2021; 14:281-297. [PMID: 33761272 DOI: 10.1146/annurev-anchem-091420-090751] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Here, the research field of nanoplasmonic sensors is placed under scrutiny, with focus on affinity-based detection using refractive index changes. This review describes how nanostructured plasmonic sensors can deliver unique advantages compared to the established surface plasmon resonance technique, where a planar metal surface is used. At the same time, it shows that these features are actually only useful in quite specific situations. Recent trends in the field are also discussed and some devices that claim extraordinary performance are questioned. It is argued that the most important challenges are related to limited receptor affinity and nonspecific binding rather than instrumental performance. Although some nanoplasmonic sensors may be useful in certain situations, it seems likely that conventional surface plasmon resonance will continue to dominate biomolecular interaction analysis. For detection of analytes in complex samples, plasmonics may be an important tool, but probably not in the form of direct refractometric detection.
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Affiliation(s)
- Andreas Dahlin
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden;
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50
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Liu J, Chen J, Wu D, Huang M, Chen J, Pan R, Wu Y, Li G. CRISPR-/Cas12a-Mediated Liposome-Amplified Strategy for the Surface-Enhanced Raman Scattering and Naked-Eye Detection of Nucleic Acid and Application to Food Authenticity Screening. Anal Chem 2021; 93:10167-10174. [PMID: 34278781 DOI: 10.1021/acs.analchem.1c01163] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Surface-enhanced Raman scattering (SERS) has been recognized as a powerful tool for biosensors due to the ultrahigh sensitivity and unique fingerprint information. However, there are some limitations in trace target nucleic acid detection for the restricted signal-transducing and amplification strategies. Inspired by CRISPR/Cas12a with specific target DNA-activated collateral single-strand DNA (ssDNA) cleavage activity and liposome with signal molecule-loading properties, we first proposed a sensitive SERS-based on-site nucleic acid detection strategy mediated by CRISPR/Cas12a with trans-cleavage activity on ssDNA linkers utilized to capture liposomes. Liposomes loading two kinds of signal molecules, 4-nitrothiophenol (4-NTP) and cysteine, could achieve the dual-mode detection of target DNA with SERS and naked eye, respectively. The promptly amplified signals were initiated by the triggered breakdown of signal molecule-loaded liposomes. Emancipated 4-NTP, a biological-silent Raman reporter, would achieve highly selective and sensitive SERS measurement. Released cysteine induced the aggregation of plasmonic gold nanoparticles, leading to an obvious red to blue colorimetric shift to realize portable naked-eye detection. With this strategy, target nucleic acid concentration was dexterously converted into SERS and visualization signals and could be detected as low as 100 aM and 10 pM, respectively. The approach was also successfully applied to determine meat adulteration, achieving the detection of a low adulteration ratio in the complicated food matrix. We anticipate that this strategy will not only be regarded as a universal platform for the on-site detection of food authenticity but also broaden SERS application for the accurate determination of diverse biomarkers.
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Affiliation(s)
- Jianghua Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Jiahui Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Di Wu
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, United Kingdom
| | - Mingquan Huang
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Jian Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Ruiyuan Pan
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Yongning Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.,NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
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