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Jaitpal S, Ng KW, San Juan AM, Martinez C, Phillips C, Tripathy S, Mabbott S. DNA-directed formation of plasmonic core-satellite nanostructures for quantification of hepatitis C viral RNA. Chem Sci 2024; 15:8112-8126. [PMID: 38817589 PMCID: PMC11134388 DOI: 10.1039/d4sc00891j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/19/2024] [Indexed: 06/01/2024] Open
Abstract
Hepatitis C virus (HCV) continues to be a significant public health challenge, affecting an estimated 71 million people globally and posing risks of severe liver diseases. Despite advancements in treatments, diagnostic limitations hinder the global elimination efforts targeted by 2030. This study introduces an innovative diagnostic approach, integrating catalytic hairpin assembly (CHA) with plasmonic core-satellite gold nanoparticle (AuNP) assemblies, to enable sensitive and specific detection of HCV RNA. We optimized the stoichiometry of DNA hairpins to form highly stable three-way junctions (3WJs), minimizing non-specific reactions in an enzyme-free, isothermal amplification process. The resulting dual-transduction biosensor combines colorimetric and surface-enhanced Raman spectroscopy (SERS) techniques, utilizing the Raman reporter malachite green isothiocyanate (MGITC) for signal generation. Our system targets a conserved 23-nucleotide sequence within the HCV 5'-UTR, essential for RNA replication, facilitating pan-genotypic HCV detection that complements direct-acting antiviral strategies. We evaluated the biosensor's efficacy using fluorescence spectroscopy, native PAGE, AFM, and TEM. Findings indicate that the 60 nm core AuNPs surrounded by 20 nm satellite AuNPs achieved a ten-fold increase in sensitivity over the 10 nm satellites, detecting HCV RNA concentrations as low as 1.706 fM. This sensitivity is crucial, given the extremely low viral loads present during early infection stages. Our research demonstrates the promise of enzyme-free molecular biosensors for HCV, with the potential to provide cost-efficient, rapid, point-of-care testing, although further sensitivity enhancements are needed to address the challenges of early-stage detection.
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Affiliation(s)
- Siddhant Jaitpal
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
- Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station 600 Discovery Drive College Station TX 77840-3006 USA
| | - Ka Wai Ng
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
- Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station 600 Discovery Drive College Station TX 77840-3006 USA
| | - Angela Michelle San Juan
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
- Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station 600 Discovery Drive College Station TX 77840-3006 USA
| | - Cecilia Martinez
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
| | - Christian Phillips
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
| | - Sayantan Tripathy
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
- Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station 600 Discovery Drive College Station TX 77840-3006 USA
| | - Samuel Mabbott
- Department of Biomedical Engineering, Texas A&M University 600 Discovery Drive College Station TX 77840-3006 USA
- Center for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station 600 Discovery Drive College Station TX 77840-3006 USA
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Xie M, Zhu Y, Li Z, Yan Y, Liu Y, Wu W, Zhang T, Li Z, Wang H. Key steps for improving bacterial SERS signals in complex samples: Separation, recognition, detection, and analysis. Talanta 2024; 268:125281. [PMID: 37832450 DOI: 10.1016/j.talanta.2023.125281] [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: 07/18/2023] [Revised: 09/09/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
Rapid and reliable detection of pathogenic bacteria is absolutely essential for research in environmental science, food quality, and medical diagnostics. Surface-enhanced Raman spectroscopy (SERS), as an emerging spectroscopic technique, has the advantages of high sensitivity, good selectivity, rapid detection speed, and portable operation, which has been broadly used in the detection of pathogenic bacteria in different kinds of complex samples. However, the SERS detection method is also challenging in dealing with the detection difficulties of bacterial samples in complex matrices, such as interference from complex matrices, confusion of similar bacteria, and complexity of data processing. Therefore, researchers have developed some technologies to assist in SERS detection of bacteria, including both the front-end process of obtaining bacterial sample data and the back-end data processing process. The review summarizes the key steps for improving bacterial SERS signals in complex samples: separation, recognition, detection, and analysis, highlighting the principles of each step and the key roles for SERS pathogenic bacteria analysis, and the interconnectivity between each step. In addition, the current challenges in the practical application of SERS technology and the development trends are discussed. The purpose of this review is to deepen researchers' understanding of the various stages of using SERS technology to detect bacteria in complex sample matrices, and help them find new breakthroughs in different stages to facilitate the detection and control of bacteria in complex samples.
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Affiliation(s)
- Maomei Xie
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yiting Zhu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zhiyao Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yueling Yan
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yidan Liu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Wenbo Wu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Tong Zhang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zheng Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
| | - Haixia Wang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
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Eremina OE, Schaefer S, Czaja AT, Awad S, Lim MA, Zavaleta C. Multiplexing potential of NIR resonant and non-resonant Raman reporters for bio-imaging applications. Analyst 2023; 148:5915-5925. [PMID: 37850265 PMCID: PMC10947999 DOI: 10.1039/d3an01298k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Multiplexed imaging, which allows for the interrogation of multiple molecular features simultaneously, is vital for addressing numerous challenges across biomedicine. Optically unique surface-enhanced Raman scattering (SERS) nanoparticles (NPs) have the potential to serve as a vehicle to achieve highly multiplexed imaging in a single acquisition, which is non-destructive, quantitative, and simple to execute. When using laser excitation at 785 nm, which allows for a lower background from biological tissues, near infrared (NIR) dyes can be used as Raman reporters to provide high Raman signal intensity due to the resonance effect. This class of imaging agents are known as surface-enhanced resonance Raman scattering (SERRS) NPs. Investigators have predominantly utilized two classes of Raman reporters in their nanoparticle constructs for use in biomedical applications: NIR-resonant and non-resonant Raman reporters. Herein, we investigate the multiplexing potential of five non-resonant SERS: BPE, 44DP, PTT, PODT, and BMMBP, and five NIR resonant SERRS NP flavors with heptamethine cyanine dyes: DTTC, IR-770, IR-780, IR-792, and IR-797, which have been extensively used for biomedical imaging applications. Although SERRS NPs display high Raman intensities, due to their resonance properties, we observed that non-resonant SERS NP concentrations can be quantitated by the intensity of their unique emissions with higher accuracy. Spectral unmixing of five-plex mixtures revealed that the studied non-resonant SERS NPs maintain their detection limits more robustly as compared to the NIR resonant SERRS NP flavors when introducing more components into a mixture.
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Affiliation(s)
- Olga E Eremina
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Sarah Schaefer
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Alexander T Czaja
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Samer Awad
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Matthew A Lim
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
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Usman M, Tang JW, Li F, Lai JX, Liu QH, Liu W, Wang L. Recent advances in surface enhanced Raman spectroscopy for bacterial pathogen identifications. J Adv Res 2023; 51:91-107. [PMID: 36549439 PMCID: PMC10491996 DOI: 10.1016/j.jare.2022.11.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/15/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The rapid and reliable detection of pathogenic bacteria at an early stage is a highly significant research field for public health. However, most traditional approaches for pathogen identification are time-consuming and labour-intensive, which may cause physicians making inappropriate treatment decisions based on an incomplete diagnosis of patients with unknown infections, leading to increased morbidity and mortality. Therefore, novel methods are constantly required to face the emerging challenges of bacterial detection and identification. In particular, Raman spectroscopy (RS) is becoming an attractive method for rapid and accurate detection of bacterial pathogens in recent years, among which the newly developed surface-enhanced Raman spectroscopy (SERS) shows the most promising potential. AIM OF REVIEW Recent advances in pathogen detection and diagnosis of bacterial infections were discussed with focuses on the development of the SERS approaches and its applications in complex clinical settings. KEY SCIENTIFIC CONCEPTS OF REVIEW The current review describes bacterial classification using surface enhanced Raman spectroscopy (SERS) for developing a rapid and more accurate method for the identification of bacterial pathogens in clinical diagnosis. The initial part of this review gives a brief overview of the mechanism of SERS technology and development of the SERS approach to detect bacterial pathogens in complex samples. The development of the label-based and label-free SERS strategies and several novel SERS-compatible technologies in clinical applications, as well as the analytical procedures and examples of chemometric methods for SERS, are introduced. The computational challenges of pre-processing spectra and the highlights of the limitations and perspectives of the SERS technique are also discussed.Taken together, this systematic review provides an overall summary of the SERS technique and its application potential for direct bacterial diagnosis in clinical samples such as blood, urine and sputum, etc.
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Affiliation(s)
- Muhammad Usman
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Jia-Wei Tang
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Fen Li
- Laboratory Medicine, Huai'an Fifth People's Hospital, Huai'an, Jiangsu Province, China
| | - Jin-Xin Lai
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China
| | - Qing-Hua Liu
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macao, Macau SAR, China
| | - Wei Liu
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
| | - Liang Wang
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China.
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5
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Shin M, Kim K, Jeong DH. Enhancement of the signal-to-noise ratio in fiber-optics based SERS detection by rough-cutting the end surface. OPTICS EXPRESS 2023; 31:12645-12652. [PMID: 37157420 DOI: 10.1364/oe.485021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Fiber-optics based surface-enhanced Raman scattering (FO-SERS) has an unique advantage of being able to remotely detect analyte molecules because the fiber length can be adjusted as desired. However, the Raman signal of the fiber-optic material is so strong that it is an important challenge in utilization of optical fiber for remote SERS sensing. In this study, we found that the background noise signal was greatly reduced by ca. 32% compared to conventional fiber-optics with a flat surface cut. To confirm the feasibility of FO-SERS detection, silver nanoparticles labeled with 4-fluorobenzenethiol were attached onto the end surface of an optical fiber to form a SERS-signaling substrate. The SERS intensity from the fiber-optics with a roughened surface as SERS substrate was increased significantly with respect to signal-to-noise ratio (SNR) values compared to optical fibers with flat end surface. This result implies that the fiber-optics with roughened surface could be used as an efficient alternative for FO-SERS sensing platform.
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Bharati M, Rana L, Gupta R, Sharma A, Jha PK, Tomar M. Realization of a DNA biosensor using inverted Lamb wave MEMS resonator based on ZnO/SiO 2/Si/ZnO membrane. Anal Chim Acta 2023; 1249:340929. [PMID: 36868768 DOI: 10.1016/j.aca.2023.340929] [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: 10/22/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023]
Abstract
A novel technique based on inverted Lamb wave MEMS resonator has been exploited for the realization of a DNA biosensor. Zinc oxide based Lamb wave MEMS resonator in the inverted configuration of ZnO/SiO2/Si/ZnO is fabricated for label free and efficient detection of Neisseria meningitidis, responsible for bacterial meningitis. Meningitis remains a devastating endemic in sub-Saharan Africa. Its early detection can prevent the spread and its lethal complications. The developed biosensor shows a very high sensitivity of 310 Hz(ngμl-1)-1 and very low detection limit of 82 pgμl-1 for symmetric mode of the Lamb wave device while the antisymmetric mode shows a sensitivity of 202 Hz(ngμl-1)-1 and the limit of detection of 84 pgμl-1. This very high sensitivity and very low detection limit of the Lamb wave resonator can be attributed to very high mass loading effect on the membranous structure of Lamb wave device, unlike the bulk substrate based devices. The indigenously developed MEMS based inverted Lamb wave biosensor shows high selectivity, long shelf life and good reproducibility. The ease of operation, low processing time and possibility of wireless integration of the of the Lamb wave DNA sensor paves a path towards the promising application in the field of meningitidis detection. The use of fabricated biosensor can be extended to other viral and bacterial detection applications as well.
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Affiliation(s)
- Manisha Bharati
- Department of Physics and Astrophysics, University of Delhi, Delhi, 110007, India
| | - Lokesh Rana
- Department of Physics, Zakir Husain Delhi College, University of Delhi, Delhi, 110002, India
| | - Reema Gupta
- Department of Physics, Hindu College, University of Delhi, Delhi, 110007, India
| | - Anjali Sharma
- Department of Physics, ARSD College, University of Delhi, Delhi, 110021, India; Institute of Eminence, University of Delhi, Delhi, 110007, India
| | - Pradip K Jha
- Department of Physics, DDU College, University of Delhi, New Delhi, 110078, India
| | - Monika Tomar
- Institute of Eminence, University of Delhi, Delhi, 110007, India; Department of Physics, Miranda House, University of Delhi, Delhi, 110007, India.
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Beeram R, Vepa KR, Soma VR. Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques. BIOSENSORS 2023; 13:328. [PMID: 36979540 PMCID: PMC10046859 DOI: 10.3390/bios13030328] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS's full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.
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Oliveira MJ, Dalot A, Fortunato E, Martins R, Byrne HJ, Franco R, Águas H. Microfluidic SERS devices: brightening the future of bioanalysis. DISCOVER MATERIALS 2022; 2:12. [PMID: 36536830 PMCID: PMC9751519 DOI: 10.1007/s43939-022-00033-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
A new avenue has opened up for applications of surface-enhanced Raman spectroscopy (SERS) in the biomedical field, mainly due to the striking advantages offered by SERS tags. SERS tags provide indirect identification of analytes with rich and highly specific spectral fingerprint information, high sensitivity, and outstanding multiplexing potential, making them very useful in in vitro and in vivo assays. The recent and innovative advances in nanomaterial science, novel Raman reporters, and emerging bioconjugation protocols have helped develop ultra-bright SERS tags as powerful tools for multiplex SERS-based detection and diagnosis applications. Nevertheless, to translate SERS platforms to real-world problems, some challenges, especially for clinical applications, must be addressed. This review presents the current understanding of the factors influencing the quality of SERS tags and the strategies commonly employed to improve not only spectral quality but the specificity and reproducibility of the interaction of the analyte with the target ligand. It further explores some of the most common approaches which have emerged for coupling SERS with microfluidic technologies, for biomedical applications. The importance of understanding microfluidic production and characterisation to yield excellent device quality while ensuring high throughput production are emphasised and explored, after which, the challenges and approaches developed to fulfil the potential that SERS-based microfluidics have to offer are described.
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Affiliation(s)
- Maria João Oliveira
- CENIMAT|i3N, Department of Materials Science, School of Science and Technology, NOVA University Lisbon and, CEMOP/UNINOVA, Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO—Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Ana Dalot
- CENIMAT|i3N, Department of Materials Science, School of Science and Technology, NOVA University Lisbon and, CEMOP/UNINOVA, Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO—Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Elvira Fortunato
- CENIMAT|i3N, Department of Materials Science, School of Science and Technology, NOVA University Lisbon and, CEMOP/UNINOVA, Caparica, Portugal
| | - Rodrigo Martins
- CENIMAT|i3N, Department of Materials Science, School of Science and Technology, NOVA University Lisbon and, CEMOP/UNINOVA, Caparica, Portugal
| | - Hugh J. Byrne
- FOCAS Research Institute, Technological University Dublin, Camden Row, Dublin 8, Dublin, Ireland
| | - Ricardo Franco
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO—Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Hugo Águas
- CENIMAT|i3N, Department of Materials Science, School of Science and Technology, NOVA University Lisbon and, CEMOP/UNINOVA, Caparica, Portugal
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Li JQ, Dukes PV, Lee W, Sarkis M, Vo‐Dinh T. Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics. JOURNAL OF RAMAN SPECTROSCOPY : JRS 2022; 53:2044-2057. [PMID: 37067872 PMCID: PMC10087982 DOI: 10.1002/jrs.6447] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/14/2022] [Accepted: 08/09/2022] [Indexed: 05/30/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) has wide diagnostic applications because of narrow spectral features that allow multiplexed analysis. Machine learning (ML) has been used for non-dye-labeled SERS spectra but has not been applied to SERS dye-labeled materials with known spectral shapes. Here, we compare the performances of spectral decomposition, support vector regression, random forest regression, partial least squares regression, and convolutional neural network (CNN) for SERS "spectral unmixing" from a multiplexed mixture of 7 SERS-active "nanorattles" loaded with different dyes for mRNA biomarker detection. We showed that CNN most accurately determined relative contributions of each distinct dye-loaded nanorattle. CNN and comparative models were then used to analyze SERS spectra from a singleplexed, point-of-care assay detecting an mRNA biomarker for head and neck cancer in 20 samples. The CNN, trained on simulated multiplexed data, determined the correct dye contributions from the singleplex assay with RMSElabel = 6.42 × 10-2. These results demonstrate the potential of CNN-based ML to advance SERS-based diagnostics.
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Affiliation(s)
- Joy Qiaoyi Li
- Fitzpatrick Institute for PhotonicsDuke UniversityDurhamNorth CarolinaUSA
- Biomedical Engineering DepartmentDuke UniversityDurhamNorth CarolinaUSA
| | - Priya Vohra Dukes
- Department of Head and Neck Surgery and Communication SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Walter Lee
- Department of Head and Neck Surgery and Communication SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Global Health InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Michael Sarkis
- Department of Statistical ScienceDuke UniversityDurhamNorth CarolinaUSA
| | - Tuan Vo‐Dinh
- Fitzpatrick Institute for PhotonicsDuke UniversityDurhamNorth CarolinaUSA
- Biomedical Engineering DepartmentDuke UniversityDurhamNorth CarolinaUSA
- Chemistry DepartmentDuke UniversityDurhamNorth CarolinaUSA
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10
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Chromatographic framework for coffee ring effect-driven separation of small molecules in surface enhanced Raman spectroscopy analysis. Talanta 2022; 250:123688. [PMID: 35759829 DOI: 10.1016/j.talanta.2022.123688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 11/22/2022]
Abstract
The applications of coffee ring effect (CRE) in analytical chemistry have been increasingly expanded from particles and macromolecules to small molecules, in particular coupled to surface-enhanced Raman spectroscopy (SERS). Despite the theory behind the formation of CRE itself from a single drop evaporation onto the dry surface is well established, the theoretical aspects of CRE-driven separation, especially the analyte-surface interactions involving small molecules, have not been conceived. Herein, we have developed a theoretical framework to describe the CRE-driven separation process of small molecules, using SERS analysis of dimethylarsinic acid (DMAV), dimethylmonothioarsinic acid (DMMTAV), and dimethyldithioarsinic acid (DMDTAV) on gold nanofilm (AuNF) as an example. By combining the CRE theory for the radial flow and the Extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory for mass transfer between solution and AuNF surface, we adapted the conventional chromatographic theory to derive a modified van Deemter equation for the CRE-driven separation. By using this model, we predicted the travel distances of arsenicals based on the different affinity of analytes to the AuNF and evaluated the possibility of separation of unknown analytes by CRE-based SERS, demonstrating the successful adaptation of classic chromatographic theory to CRE-driven nanochromatography.
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11
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Jaafar A, Holomb R, Sdobnov AY, Ocskay Z, Jakus Z, Tuchin VV, Veres M. Ex vivo confocal Raman microspectroscopy of porcine dura mater supported by optical clearing. JOURNAL OF BIOPHOTONICS 2022; 15:e202100332. [PMID: 34951739 DOI: 10.1002/jbio.202100332] [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] [Received: 10/28/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
The effect of tissue optical clearing (TOC) to increase the probing depth and observe in-depth structure of the ex vivo porcine dura mater was studied by confocal Raman microspectroscopy (CRM). Raman intensities were significantly increased at the depth of 250 μm for all collagen bands after treatment with glycerol. The influence of glycerol on collagen hydration was also investigated. The results indicate that the process of TOC can be divided into three main steps. The first one is a fast process of tissue dehydration accompanied by collagen shrinkage while the second relatively slow process is related to the glycerol penetration into the interfibrillar space of collagen combined with swelling of tissue. The third step is collagen dissociation caused by the high concentration of glycerol. To the best of our knowledge, this study is the first example to introduce the TOC technique in assisting CRM of ex vivo dura mater in-depth probing.
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Affiliation(s)
- Ali Jaafar
- Institute for Solid State Physics and Optics, Wigner Research Center for Physics, Budapest, Hungary
- Institute of Physics, University of Szeged, Szeged, Hungary
- Ministry of Higher Education and Scientific Research, Baghdad, Iraq
| | - Roman Holomb
- Institute for Solid State Physics and Optics, Wigner Research Center for Physics, Budapest, Hungary
- Department of Information Control Systems and Technologies, Uzhhorod National University, Uzhhorod, Ukraine
| | - Anton Y Sdobnov
- Science Medical Center, Saratov State University, Saratov, Russia
- Optoelectronics and Measurement Techniques Laboratory, University of Oulu, Oulu, Finland
| | - Zsombor Ocskay
- Department of Physiology, Semmelweis University School of Medicine, Budapest, Hungary
| | - Zoltán Jakus
- Department of Physiology, Semmelweis University School of Medicine, Budapest, Hungary
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia
- А.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
| | - Miklós Veres
- Institute for Solid State Physics and Optics, Wigner Research Center for Physics, Budapest, Hungary
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12
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Sur UK, Santra C. Spectroscopy: a versatile sensing tool for cost-effective and rapid detection of novel coronavirus (COVID-19). EMERGENT MATERIALS 2022; 5:249-260. [PMID: 35252760 PMCID: PMC8883019 DOI: 10.1007/s42247-022-00358-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
The deadly novel coronavirus SARS-CoV-2 is responsible for COVID-19, which was first recognized in Wuhan, China, in December 2019. Rapid identification at primary stage of the novel coronavirus, SARS-CoV-2, is important to restrict it and prevent the pandemic. Real-time RT-PCR assays are the best diagnostic tests presently available for SARS-CoV-2 detection, which are highly sensitive, even though expensive equipment and trained technicians are necessary. Furthermore, the method has moderately long time bound. This deadly viral infection can also be detected by applying various spectroscopic techniques as spectroscopy can provide fast, precise identification and monitoring, leading to the overall understanding of its mutation rates, which will further facilitate antiviral drug development as well as vaccine development. It is an innovative and non-invasive technique for combating the spread of novel coronavirus. This review article demonstrates the application of various spectroscopic techniques to detect COVID-19 rapidly. Different spectroscopy-based detection protocols and additional development of new, novel sensors and biosensors along with diagnostic kits had been described here stressing the status of sensitive diagnostic systems to handle with the COVID-19 outbreak. Graphical abstract Spectroscopy: A versatile sensing tool for cost-effective and rapid detection of novel Coronavirus (COVID-19).
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Affiliation(s)
- Ujjal Kumar Sur
- Department of Chemistry, Behala College, University of Calcutta, Parnashree, Kolkata, 700060 West Bengal India
| | - Chittaranjan Santra
- Department of Chemistry (Ex), Netaji Nagar Day College, Kolkata, 700092 India
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13
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Hassanain WA, Johnson CL, Faulds K, Graham D, Keegan N. Recent advances in antibiotic resistance diagnosis using SERS: focus on the “ Big 5” challenges. Analyst 2022; 147:4674-4700. [DOI: 10.1039/d2an00703g] [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
SERS for antibiotic resistance diagnosis.
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Affiliation(s)
- Waleed A. Hassanain
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Christopher L. Johnson
- Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, NE2 4HH, UK
| | - Karen Faulds
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Duncan Graham
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Neil Keegan
- Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, NE2 4HH, UK
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14
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Sloan-Dennison S, Laing S, Graham D, Faulds K. From Raman to SESORRS: moving deeper into cancer detection and treatment monitoring. Chem Commun (Camb) 2021; 57:12436-12451. [PMID: 34734952 PMCID: PMC8609625 DOI: 10.1039/d1cc04805h] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Raman spectroscopy is a non-invasive technique that allows specific chemical information to be obtained from various types of sample. The detailed molecular information that is present in Raman spectra permits monitoring of biochemical changes that occur in diseases, such as cancer, and can be used for the early detection and diagnosis of the disease, for monitoring treatment, and to distinguish between cancerous and non-cancerous biological samples. Several techniques have been developed to enhance the capabilities of Raman spectroscopy by improving detection sensitivity, reducing imaging times and increasing the potential applicability for in vivo analysis. The different Raman techniques each have their own advantages that can accommodate the alternative detection formats, allowing the techniques to be applied in several ways for the detection and diagnosis of cancer. This feature article discusses the various forms of Raman spectroscopy, how they have been applied for cancer detection, and the adaptation of the techniques towards their use for in vivo cancer detection and in clinical diagnostics. Despite the advances in Raman spectroscopy, the clinical application of the technique is still limited and certain challenges must be overcome to enable clinical translation. We provide an outlook on the future of the techniques in this area and what we believe is required to allow the potential of Raman spectroscopy to be achieved for clinical cancer diagnostics.
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Affiliation(s)
- Sian Sloan-Dennison
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Stacey Laing
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Duncan Graham
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Karen Faulds
- Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
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15
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Berry ME, Kearns H, Graham D, Faulds K. Surface enhanced Raman scattering for the multiplexed detection of pathogenic microorganisms: towards point-of-use applications. Analyst 2021; 146:6084-6101. [PMID: 34492668 PMCID: PMC8504440 DOI: 10.1039/d1an00865j] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/22/2021] [Accepted: 08/27/2021] [Indexed: 01/02/2023]
Abstract
Surface enhanced Raman scattering (SERS) is a technique that demonstrates a number of advantages for the rapid, specific and sensitive detection of pathogenic microorganisms. In this review, an overview of label-free and label-based SERS approaches, including microfluidics, nucleic acid detection and immunoassays, for the multiplexed detection of pathogenic bacteria and viruses from the last decade will be discussed, as well as their transition into promising point-of-use detection technologies in industrial and medical settings.
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Affiliation(s)
- Matthew E Berry
- Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Hayleigh Kearns
- Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Duncan Graham
- Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
| | - Karen Faulds
- Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
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16
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Ripanti F, Fasolato C, Mazzarda F, Palleschi S, Ceccarini M, Li C, Bignami M, Bodo E, Bell SEJ, Mazzei F, Postorino P. Advanced Raman Spectroscopy Detection of Oxidative Damage in Nucleic Acid Bases: Probing Chemical Changes and Intermolecular Interactions in Guanosine at Ultralow Concentration. Anal Chem 2021; 93:10825-10833. [PMID: 34324303 PMCID: PMC8382216 DOI: 10.1021/acs.analchem.1c01049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
DNA/RNA synthesis precursors are especially vulnerable to damage induced by reactive oxygen species occurring following oxidative stress. Guanosine triphosphates are the prevalent oxidized nucleotides, which can be misincorporated during replication, leading to mutations and cell death. Here, we present a novel method based on micro-Raman spectroscopy, combined with ab initio calculations, for the identification, detection, and quantification of oxidized nucleotides at low concentration. We also show that the Raman signature in the terahertz spectral range (<100 cm-1) contains information on the intermolecular assembly of guanine in tetrads, which allows us to further boost the oxidative damage detection limit. Eventually, we provide evidence that similar analyses can be carried out on samples in very small volumes at very low concentrations by exploiting the high sensitivity of surface-enhanced Raman scattering combined with properly designed superhydrophobic substrates. These results pave the way for employing such advanced spectroscopic methods for quantitatively sensing the oxidative damage of nucleotides in the cell.
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Affiliation(s)
- Francesca Ripanti
- Department of Physics, Sapienza University of Rome, P.le A. Moro 5, Rome, Italy
| | - Claudia Fasolato
- Department of Physics and Geology, University of Perugia, Via Alessandro Pascoli, Perugia, Italy
| | - Flavia Mazzarda
- Department of Physics, Sapienza University of Rome, P.le A. Moro 5, Rome, Italy
| | - Simonetta Palleschi
- Department of Environment & Health, Istituto Superiore di Sanità, Viale Regina Elena 299, Rome, Italy
| | - Marina Ceccarini
- National Centre for Rare Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, Rome, Italy
| | - Chunchun Li
- School of Chemistry and Chemical Engineering, Queen's University of Belfast, Stranmillis Road, Belfast, Northern Ireland
| | - Margherita Bignami
- Department of Environment & Health, Istituto Superiore di Sanità, Viale Regina Elena 299, Rome, Italy
| | - Enrico Bodo
- Department of Chemistry, Sapienza University of Rome, P.le A. Moro, 5, Rome, Italy
| | - Steven E J Bell
- School of Chemistry and Chemical Engineering, Queen's University of Belfast, Stranmillis Road, Belfast, Northern Ireland
| | - Filomena Mazzei
- Department of Environment & Health, Istituto Superiore di Sanità, Viale Regina Elena 299, Rome, Italy
| | - Paolo Postorino
- Department of Physics, Sapienza University of Rome, P.le A. Moro 5, Rome, Italy
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17
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Qu LL, Ying YL, Yu RJ, Long YT. In situ food-borne pathogen sensors in a nanoconfined space by surface enhanced Raman scattering. Mikrochim Acta 2021; 188:201. [PMID: 34041602 PMCID: PMC8154335 DOI: 10.1007/s00604-021-04864-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/13/2021] [Indexed: 01/04/2023]
Abstract
The incidence of disease arising from food-borne pathogens is increasing continuously and has become a global public health problem. Rapid and accurate identification of food-borne pathogens is essential for adopting disease intervention strategies and controlling the spread of epidemics. Surface-enhanced Raman spectroscopy (SERS) has attracted increasing interest due to the attractive features including simplicity, rapid measurement, and high sensitivity. It can be used for rapid in situ sensing of single and multicomponent samples within the nanostructure-based confined space by providing molecular fingerprint information and has been demonstrated to be an effective detection strategy for pathogens. This article aims to review the application of SERS to the rapid sensing of food-borne pathogens in food matrices. The mechanisms and advantages of SERS, and detection strategies are briefly discussed. The latest progress on the use of SERS for rapid detection of food-borne bacteria and viruses is considered, including both the labeled and label-free detection strategies. In closing, according to the current situation regarding detection of food-borne pathogens, the review highlights the challenges faced by SERS and the prospects for new applications in food safety. In this review, the advances on the SERS detection of pathogens over the past decades have been reviewed, focusing on the improvements in sensitivity, reproducibility, specificity, and the performance of the SERS-based assay in complex analytical scenarios. ![]()
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Affiliation(s)
- Lu-Lu Qu
- School of Chemistry and Materials Science, Jiangsu Normal University, 221116, Xuzhou, People's Republic of China.
| | - Yi-Lun Ying
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
| | - Ru-Jia Yu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China.
| | - Yi-Tao Long
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
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18
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Automatic and sensitive detection of West Nile virus non-structural protein 1 with a portable SERS-LFIA detector. Mikrochim Acta 2021; 188:206. [PMID: 34046739 DOI: 10.1007/s00604-021-04857-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 05/13/2021] [Indexed: 02/02/2023]
Abstract
A portable surface-enhanced Raman scattering (SERS)-lateral flow immunoassay (LFIA) detector has been developed for the automatic and highly sensitive detection of West Nile virus (WNV) non-structural protein 1 (NS1) and actual WNV samples. Au@Ag nanoparticles (Au@Ag NPs) labeled with double-layer Raman molecules were used as SERS tags to prepare WNV-specific SERS-LFIA strips. On this platform, the WNV-specific antigen NS1 protein was quantitatively and sensitively detected. The detection limit for the WNV NS1 protein was 0.1 ng/mL, which was 100-fold more sensitive than visual signals. The detection limit for inactivated WNV virions was 0.2 × 102 copies/μL. The sensitivity of the SERS-LFIA detector was comparable to that of the fluorescence quantitative reverse transcription-polymerase chain reaction assay. The prepared SERS-LFIA strips exhibited high sensitivity and good specificity for WNV. Thus, the strips developed herein have clinical application value. Moreover, the portable SERS-LFIA detector enabled automatic and rapid detection of the SERS-LFIA strips. The platform established herein is expected to make a substantial contribution to the diagnosis and control of outbreaks of emerging infectious diseases, including WNV.
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19
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Kapara A, Findlay Paterson KA, Brunton VG, Graham D, Zagnoni M, Faulds K. Detection of Estrogen Receptor Alpha and Assessment of Fulvestrant Activity in MCF-7 Tumor Spheroids Using Microfluidics and SERS. Anal Chem 2021; 93:5862-5871. [PMID: 33797884 PMCID: PMC8153394 DOI: 10.1021/acs.analchem.1c00188] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/22/2021] [Indexed: 12/20/2022]
Abstract
Breast cancer is one of the leading causes of cancer death in women. Novel in vitro tools that integrate three-dimensional (3D) tumor models with highly sensitive chemical reporters can provide useful information to aid biological characterization of cancer phenotype and understanding of drug activity. The combination of surface-enhanced Raman scattering (SERS) techniques with microfluidic technologies offers new opportunities for highly selective, specific, and multiplexed nanoparticle-based assays. Here, we explored the use of functionalized nanoparticles for the detection of estrogen receptor alpha (ERα) expression in a 3D tumor model, using the ERα-positive human breast cancer cell line MCF-7. This approach was used to compare targeted versus nontargeted nanoparticle interactions with the tumor model to better understand whether targeted nanotags are required to efficiently target ERα. Mixtures of targeted anti-ERα antibody-functionalized nanotags (ERα-AuNPs) and nontargeted (against ERα) anti-human epidermal growth factor receptor 2 (HER2) antibody-functionalized nanotags (HER2-AuNPs), with different Raman reporters with a similar SERS signal intensity, were incubated with MCF-7 spheroids in microfluidic devices and spectroscopically analyzed using SERS. MCF-7 cells express high levels of ERα and no detectable levels of HER2. 2D and 3D SERS measurements confirmed the strong targeting effect of ERα-AuNP nanotags to the MCF-7 spheroids in contrast to HER2-AuNPs (63% signal reduction). Moreover, 3D SERS measurements confirmed the differentiation between the targeted and the nontargeted nanotags. Finally, we demonstrated how nanotag uptake by MCF-7 spheroids was affected by the drug fulvestrant, the first-in-class approved selective estrogen receptor degrader (SERD). These results illustrate the potential of using SERS and microfluidics as a powerful in vitro platform for the characterization of 3D tumor models and the investigation of SERD activity.
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Affiliation(s)
- Anastasia Kapara
- Centre
for Molecular Nanometrology, Department of Pure and Applied Chemistry,
Technology and Innovation Centre, University
of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
- MRC
Institute of Genetics and Molecular Medicine, Edinburgh Cancer Research
UK Centre, University of Edinburgh, Western
General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Karla A. Findlay Paterson
- Centre
for Microsystems and Photonics, Department of Electronic and Electrical
Engineering, University of Strathclyde, 204 George Street, Glasgow G1 1XW, UK
| | - Valerie G. Brunton
- MRC
Institute of Genetics and Molecular Medicine, Edinburgh Cancer Research
UK Centre, University of Edinburgh, Western
General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Duncan Graham
- Centre
for Molecular Nanometrology, Department of Pure and Applied Chemistry,
Technology and Innovation Centre, University
of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
| | - Michele Zagnoni
- Centre
for Microsystems and Photonics, Department of Electronic and Electrical
Engineering, University of Strathclyde, 204 George Street, Glasgow G1 1XW, UK
| | - Karen Faulds
- Centre
for Molecular Nanometrology, Department of Pure and Applied Chemistry,
Technology and Innovation Centre, University
of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
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20
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Zhou X, Hu Z, Yang D, Xie S, Jiang Z, Niessner R, Haisch C, Zhou H, Sun P. Bacteria Detection: From Powerful SERS to Its Advanced Compatible Techniques. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2001739. [PMID: 33304748 PMCID: PMC7710000 DOI: 10.1002/advs.202001739] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/24/2020] [Indexed: 05/13/2023]
Abstract
The rapid, highly sensitive, and accurate detection of bacteria is the focus of various fields, especially food safety and public health. Surface-enhanced Raman spectroscopy (SERS), with the advantages of being fast, sensitive, and nondestructive, can be used to directly obtain molecular fingerprint information, as well as for the on-line qualitative analysis of multicomponent samples. It has therefore become an effective technique for bacterial detection. Within this progress report, advances in the detection of bacteria using SERS and other compatible techniques are discussed in order to summarize its development in recent years. First, the enhancement principle and mechanism of SERS technology are briefly overviewed. The second part is devoted to a label-free strategy for the detection of bacterial cells and bacterial metabolites. In this section, important considerations that must be made to improve bacterial SERS signals are discussed. Then, the label-based SERS strategy involves the design strategy of SERS tags, the immunomagnetic separation of SERS tags, and the capture of bacteria from solution and dye-labeled SERS primers. In the third part, several novel SERS compatible technologies and applications in clinical and food safety are introduced. In the final part, the results achieved are summarized and future perspectives are proposed.
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Affiliation(s)
- Xia Zhou
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
| | - Ziwei Hu
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
| | - Danting Yang
- Department of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological TechnologyMedical School of Ningbo UniversityNingboZhejiang315211China
| | - Shouxia Xie
- The Second Clinical Medical College (Shenzhen People's Hospital)Jinan UniversityShenzhenGuangdong518020China
| | - Zhengjin Jiang
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
| | - Reinhard Niessner
- Institute of Hydrochemistry and Chair for Analytical ChemistryTechnical University of MunichMarchioninistr. 17MunichD‐81377Germany
| | - Christoph Haisch
- Institute of Hydrochemistry and Chair for Analytical ChemistryTechnical University of MunichMarchioninistr. 17MunichD‐81377Germany
| | - Haibo Zhou
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
- The Second Clinical Medical College (Shenzhen People's Hospital)Jinan UniversityShenzhenGuangdong518020China
| | - Pinghua Sun
- College of PharmacyJinan UniversityGuangzhouGuangdong510632China
- Department of Oncologythe First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong510632China
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21
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Tamil Selvan S, Padmanabhan P, Zoltán Gulyás B. Nanotechnology-Based Diagnostics and Therapy for Pathogen-Related Infections in the CNS. ACS Chem Neurosci 2020; 11:2371-2377. [PMID: 31726008 DOI: 10.1021/acschemneuro.9b00470] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The central nervous system (CNS) encompasses the brain, spinal cord, and nerves, where both brain and spinal cord are safeguarded by the meninges. However, serious bacterial, viral, or fungal infection in the brain causes life-threatening diseases such as meningitis. Engineered nanostructures hold great promise for not only in the diagnosis but also for combating microbial drug resistance owing to their high surface area and innate antibacterial activity. We delineate several nanoparticle-based approaches to enhance the CNS delivery of drugs across the blood-brain barrier (BBB). While pathogens invade the CNS by phagocytosis or receptor (e.g., EphA2)-mediated transcytosis, most of the nanoparticles cross the BBB via receptor-mediated transcytosis (e.g., antibody, peptide, protein). We also provide our perspectives on the diagnostic pathways based on nanotechnology for the detection of pathogens in the brain, thereby opening up new therapeutic avenues.
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Affiliation(s)
- Subramanian Tamil Selvan
- Translational Neuroscience Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore 636921
| | - Parasuraman Padmanabhan
- Translational Neuroscience Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore 636921
| | - Balázs Zoltán Gulyás
- Translational Neuroscience Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore 636921
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22
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Wu L, Teixeira A, Garrido-Maestu A, Muinelo-Romay L, Lima L, Santos LL, Prado M, Diéguez L. Profiling DNA mutation patterns by SERS fingerprinting for supervised cancer classification. Biosens Bioelectron 2020; 165:112392. [PMID: 32729513 DOI: 10.1016/j.bios.2020.112392] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/04/2020] [Accepted: 06/13/2020] [Indexed: 12/14/2022]
Abstract
Profiling DNA mutation patterns for cancer classification plays an essential role in precision and personalized medicine. Conventional PCR-based mutation assay is limited by the extensive labour on target amplification. We herein create an amplification-free surface enhanced Raman spectroscopy (SERS) biochip which enables direct and simultaneous identification of multiple point mutations in tumor cells. Without pre-amplifying the target sequences, the SERS assay reads out the presence of cellular mutations through the interpretation of Raman fingerprints. The SERS sensor is integrated into a microfluidic chip, achieving one-step multiplex analysis within 40 min. Importantly, by combining SERS spectra encoding technique with supervised learning algorithm, a panel of nucleotide mixtures can be well distinguished according to their mutation profiles. We initially demonstrate an excellent levels of classification in samples from colorectal cancer and melanoma cell lines. For final clinical validation, the system performance is verified by classifying cancer patient samples, which shows an accuracy above 90%. Due to the simplicity and rapidness, the SERS biosensor is expected to become a promising tool for clinical point-of-care diagnosis towards precision medicine.
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Affiliation(s)
- Lei Wu
- Medical Devices, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Alexandra Teixeira
- Medical Devices, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Alejandro Garrido-Maestu
- Food Quality and Safety, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Laura Muinelo-Romay
- Liquid Biopsy Analysis Unit, Oncomet, Health Research Institute of Santiago (IDIS), Complejo Hospitalario de Santiago de Compostela, Trav. Choupana s/n, 15706, Santiago de Compostela, Spain; CIBERONC, Centro de Investigación Biomédica en Red Cáncer Calle de Melchor Fernández Almagro, 3, 28029, Madrid, Spain
| | - Luis Lima
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, R. Dr. António Bernardino de Almeida 865, 4200-072 Porto, Portugal; Glycobiology in Cancer, Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), R. Alfredo Allen 208, 4200-135 Porto, Portugal; Instituto de Investigação e Inovação em Saúde (I3S), University of Porto, R. Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Lúcio Lara Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, R. Dr. António Bernardino de Almeida 865, 4200-072 Porto, Portugal; Health School of University Fernando Pessoa, Porto, Portugal; Department of Surgical Oncology, Portuguese Institute of Oncology, Porto, Portugal
| | - Marta Prado
- Food Quality and Safety, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Lorena Diéguez
- Medical Devices, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal.
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23
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Zhang R, Belwal T, Li L, Lin X, Xu Y, Luo Z. Nanomaterial‐based biosensors for sensing key foodborne pathogens: Advances from recent decades. Compr Rev Food Sci Food Saf 2020; 19:1465-1487. [DOI: 10.1111/1541-4337.12576] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 04/11/2020] [Accepted: 04/21/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Ruyuan Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
| | - Tarun Belwal
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
| | - Li Li
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
- Ningbo Research Institute, Zhejiang University Ningbo People's Republic of China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang University Hangzhou People's Republic of China
- Ningbo Research Institute, Zhejiang University Ningbo People's Republic of China
- Fuli Institute of Food Science Hangzhou People's Republic of China
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24
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Younes N, Al-Sadeq DW, AL-Jighefee H, Younes S, Al-Jamal O, Daas HI, Yassine HM, Nasrallah GK. Challenges in Laboratory Diagnosis of the Novel Coronavirus SARS-CoV-2. Viruses 2020; 12:E582. [PMID: 32466458 PMCID: PMC7354519 DOI: 10.3390/v12060582] [Citation(s) in RCA: 252] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 05/19/2020] [Accepted: 05/20/2020] [Indexed: 12/13/2022] Open
Abstract
The recent outbreak of the Coronavirus disease 2019 (COVID-19) has quickly spread worldwide since its discovery in Wuhan city, China in December 2019. A comprehensive strategy, including surveillance, diagnostics, research, clinical treatment, and development of vaccines, is urgently needed to win the battle against COVID-19. The past three unprecedented outbreaks of emerging human coronavirus infections at the beginning of the 21st century have highlighted the importance of readily available, accurate, and rapid diagnostic technologies to contain emerging and re-emerging pandemics. Real-time reverse transcriptase-polymerase chain reaction (rRT-PCR) based assays performed on respiratory specimens remain the gold standard for COVID-19 diagnostics. However, point-of-care technologies and serologic immunoassays are rapidly emerging with high sensitivity and specificity as well. Even though excellent techniques are available for the diagnosis of symptomatic patients with COVID-19 in well-equipped laboratories; critical gaps still remain in screening asymptomatic people who are in the incubation phase of the virus, as well as in the accurate determination of live viral shedding during convalescence to inform decisions for ending isolation. This review article aims to discuss the currently available laboratory methods and surveillance technologies available for the detection of COVID-19, their performance characteristics and highlight the gaps in current diagnostic capacity, and finally, propose potential solutions. We also summarize the specifications of the majority of the available commercial kits (PCR, EIA, and POC) for laboratory diagnosis of COVID-19.
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Affiliation(s)
- Nadin Younes
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
| | - Duaa W. Al-Sadeq
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
- College of Medicine, Member of QU Health, Qatar University, P.O. Box 2713 Doha, Qatar
| | - Hadeel AL-Jighefee
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
| | - Salma Younes
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, P.O. Box 2713 Doha, Qatar;
| | - Ola Al-Jamal
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
| | - Hanin I. Daas
- College of Dental Medicine, Member of QU Health, Qatar University, P.O. Box 2713 Doha, Qatar;
| | - Hadi. M. Yassine
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, P.O. Box 2713 Doha, Qatar;
| | - Gheyath K. Nasrallah
- Biomedical Research Center, Qatar University, P.O. Box 2713 Doha, Qatar; (N.Y.); (D.W.A.-S.); (H.A.-J.); (O.A.-J.); (H.M.Y.)
- Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, P.O. Box 2713 Doha, Qatar;
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25
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Haddar CH, Joly J, Carricajo A, Verhoeven PO, Grattard F, Mory O, Begaud E, Germani Y, Cantais A, Pozzetto B. Strategy using a new antigenic test for rapid diagnosis of Streptococcus pneumoniae infection in respiratory samples from children consulting at hospital. BMC Microbiol 2020; 20:79. [PMID: 32264834 PMCID: PMC7137283 DOI: 10.1186/s12866-020-01764-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/23/2020] [Indexed: 02/07/2023] Open
Abstract
Background Despite vaccination programs, Streptococcus pneumoniae remains among the main microorganisms involved in bacterial pneumonia, notably in terms of severity. The prognosis of pneumococcal infections is conditioned in part by the precocity of the diagnosis. The aim of this study was to evaluate the impact of a Rapid Diagnostic Test (RDT) targeting cell wall polysaccharide of Streptococcus pneumoniae and performed directly in respiratory samples, on the strategy of diagnosis of respiratory pneumococcal infections in children. Results Upper-respiratory tract samples from 196 children consulting at hospital for respiratory infection were tested for detecting S. pneumoniae using a newly-designed RDT (PneumoResp, Biospeedia), a semi-quantitative culture and two PCR assays. If positive on fluidized undiluted specimen, the RDT was repeated on 1:100-diluted sample. The RDT was found highly specific when tested on non-S. pneumoniae strains. By comparison to culture and PCR assays, the RDT on undiluted secretions exhibited a sensitivity (Se) and negative predictive value (NPV) of more than 98%. By comparison to criteria of S. pneumoniae pneumonia combining typical symptoms, X-ray image, and culture ≥107 CFU/ml, the Se and NPV of RDT on diluted specimens were 100% in both cases. Conclusions In case of negative result, the excellent NPV of RDT on undiluted secretions allows excluding S. pneumoniae pneumonia. In case of positive result, the excellent sensitivity of RDT on diluted secretions for the diagnosis of S. pneumoniae pneumonia allows proposing a suitable antimicrobial treatment at day 0.
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Affiliation(s)
- Cyrille H Haddar
- GIMAP EA 3064 (Groupe Immunité des Muqueuses et Agents Pathogènes), University of Lyon, 42023, Saint-Etienne, France.,BioSpeedia, Institut Pasteur, 75015, Paris, France
| | - Johan Joly
- Laboratory of Infectious Agents and Hygiene, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | - Anne Carricajo
- GIMAP EA 3064 (Groupe Immunité des Muqueuses et Agents Pathogènes), University of Lyon, 42023, Saint-Etienne, France.,Laboratory of Infectious Agents and Hygiene, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | - Paul O Verhoeven
- GIMAP EA 3064 (Groupe Immunité des Muqueuses et Agents Pathogènes), University of Lyon, 42023, Saint-Etienne, France.,Laboratory of Infectious Agents and Hygiene, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | - Florence Grattard
- GIMAP EA 3064 (Groupe Immunité des Muqueuses et Agents Pathogènes), University of Lyon, 42023, Saint-Etienne, France.,Laboratory of Infectious Agents and Hygiene, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | - Olivier Mory
- Pediatric Emergency Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | | | - Yves Germani
- BioSpeedia, Institut Pasteur, 75015, Paris, France
| | - Aymeric Cantais
- Pediatric Emergency Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France
| | - Bruno Pozzetto
- GIMAP EA 3064 (Groupe Immunité des Muqueuses et Agents Pathogènes), University of Lyon, 42023, Saint-Etienne, France. .,Laboratory of Infectious Agents and Hygiene, University Hospital of Saint-Etienne, 42055, Saint-Etienne Cedex 02, France.
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26
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Sultan MA, Abou El-Alamin MM, Wark AW, Azab MM. Detection and quantification of warfarin in pharmaceutical dosage form and in spiked human plasma using surface enhanced Raman scattering. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 228:117533. [PMID: 31753661 DOI: 10.1016/j.saa.2019.117533] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/21/2019] [Accepted: 09/13/2019] [Indexed: 06/10/2023]
Abstract
Analytical approaches for the quantitation of warfarin in plasma are high in demand. In this study, a novel surface enhanced Raman scattering (SERS) technique for the quantification of the widely used anticoagulant warfarin sodium in pharmaceutical dosage form and in spiked human plasma was developed. The colloidal-based SERS measurements were carefully optimized considering the laser wavelength, the type of metal nanoparticles, their surface functionalization and concentration as well as the time required for warfarin to associate with the metal surface. Poly(diallyldimethylammonium chloride) coated silver nanoparticles (PDDA-AgNPs) were established as a substrate which greatly enhanced the weak warfarin Raman signal with high reproducibility. The limit of detection was calculated in both water and human plasma to be 0.56 nM (0.17 ngmL-1) and 0.25 nM (0.08 ngmL-1) respectively, with a high degree of accuracy and reproducibility. The proposed method is simple, economical, and easily applied for routine application requiring only small plasma samples and also could be potentially useful for pharmacokinetic research on warfarin.
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Affiliation(s)
- Maha A Sultan
- Analytical Chemistry Department, Faculty of Pharmacy, Helwan University, 11795, Cairo, Egypt
| | - Maha M Abou El-Alamin
- Analytical Chemistry Department, Faculty of Pharmacy, Helwan University, 11795, Cairo, Egypt
| | - Alastair W Wark
- Centre for Molecular Nanometrology, Dept. of Pure & Applied Chemistry, Technology and Innovation Centre, 99 George St, University of Strathclyde, Glasgow, G1 1RD, UK
| | - Marwa M Azab
- Analytical Chemistry Department, Faculty of Pharmacy, Helwan University, 11795, Cairo, Egypt; Centre for Molecular Nanometrology, Dept. of Pure & Applied Chemistry, Technology and Innovation Centre, 99 George St, University of Strathclyde, Glasgow, G1 1RD, UK.
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27
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Milligan K, Shand NC, Graham D, Faulds K. Detection of Multiple Nitroaromatic Explosives via Formation of a Janowsky Complex and SERS. Anal Chem 2020; 92:3253-3261. [PMID: 31927940 PMCID: PMC7145293 DOI: 10.1021/acs.analchem.9b05062] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 01/13/2020] [Indexed: 11/30/2022]
Abstract
Military-grade explosives such as 2,4,6-trinitroluene (TNT) are still a major worldwide concern in terms of terror threat and environmental impact. The most common methods currently employed for the detection of explosives involve colorimetric tests, which are known to be rapid and portable; however, they often display false positives and lack sensitivity. Other methods used include ion mobility mass spectrometry, gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS), which despite producing more reliable results often require large, expensive instrumentation and specially trained staff. Here we demonstrate an alternative approach that utilizes the formation of a colored Janowsky complex with nitroaromatic explosives through reaction of the enolate ion of 3-mercapto-2-butanone. The colored complex is formed rapidly and can then be detected sensitively using surface-enhanced Raman scattering (SERS). We demonstrate that SERS can be used as a quick, sensitive, and selective technique for the detection of 2,4,6-trinitrotoluene (TNT), hexanitrostillbene (HNS), and 2,4,6-trinitrophenylmethylnitramine (tetryl) with a detection limit of 6.81 ng mL-1 achieved for TNT, 17.2 ng mL-1 for tetryl, and 135.1 ng mL-1 for HNS. This method of detection also requires minimal sample preparation, can be done in a solution-based format, and utilizes the same precursor reagents for complex formation with each of the explosives which can then be identified due to the specificity of the unique SERS response obtained. We demonstrate the ability to simultaneously identify three explosive compounds within a total analysis time of 10 min. This method of detection shows promise for the development of rapid and portable SERS-based assays which can be utilized in the field in order to achieve reliable and quantitative detection.
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Affiliation(s)
- Kirsty Milligan
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, United Kingdom
| | - Neil C. Shand
- Defence
Science Technology Laboratory (DSTL), Porton Down, Salisbury SP4 0JQ, United Kingdom
| | - Duncan Graham
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, United Kingdom
| | - Karen Faulds
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, United Kingdom
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28
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Langer J, Jimenez de Aberasturi D, Aizpurua J, Alvarez-Puebla RA, Auguié B, Baumberg JJ, Bazan GC, Bell SEJ, Boisen A, Brolo AG, Choo J, Cialla-May D, Deckert V, Fabris L, Faulds K, García de Abajo FJ, Goodacre R, Graham D, Haes AJ, Haynes CL, Huck C, Itoh T, Käll M, Kneipp J, Kotov NA, Kuang H, Le Ru EC, Lee HK, Li JF, Ling XY, Maier SA, Mayerhöfer T, Moskovits M, Murakoshi K, Nam JM, Nie S, Ozaki Y, Pastoriza-Santos I, Perez-Juste J, Popp J, Pucci A, Reich S, Ren B, Schatz GC, Shegai T, Schlücker S, Tay LL, Thomas KG, Tian ZQ, Van Duyne RP, Vo-Dinh T, Wang Y, Willets KA, Xu C, Xu H, Xu Y, Yamamoto YS, Zhao B, Liz-Marzán LM. Present and Future of Surface-Enhanced Raman Scattering. ACS NANO 2020; 14:28-117. [PMID: 31478375 PMCID: PMC6990571 DOI: 10.1021/acsnano.9b04224] [Citation(s) in RCA: 1394] [Impact Index Per Article: 348.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 09/03/2019] [Indexed: 04/14/2023]
Abstract
The discovery of the enhancement of Raman scattering by molecules adsorbed on nanostructured metal surfaces is a landmark in the history of spectroscopic and analytical techniques. Significant experimental and theoretical effort has been directed toward understanding the surface-enhanced Raman scattering (SERS) effect and demonstrating its potential in various types of ultrasensitive sensing applications in a wide variety of fields. In the 45 years since its discovery, SERS has blossomed into a rich area of research and technology, but additional efforts are still needed before it can be routinely used analytically and in commercial products. In this Review, prominent authors from around the world joined together to summarize the state of the art in understanding and using SERS and to predict what can be expected in the near future in terms of research, applications, and technological development. This Review is dedicated to SERS pioneer and our coauthor, the late Prof. Richard Van Duyne, whom we lost during the preparation of this article.
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Affiliation(s)
- Judith Langer
- CIC
biomaGUNE and CIBER-BBN, Paseo de Miramón 182, Donostia-San Sebastián 20014, Spain
| | | | - Javier Aizpurua
- Materials
Physics Center (CSIC-UPV/EHU), and Donostia
International Physics Center, Paseo Manuel de Lardizabal 5, Donostia-San
Sebastián 20018, Spain
| | - Ramon A. Alvarez-Puebla
- Departamento
de Química Física e Inorgánica and EMaS, Universitat Rovira i Virgili, Tarragona 43007, Spain
- ICREA-Institució
Catalana de Recerca i Estudis Avançats, Passeig Lluís Companys 23, Barcelona 08010, Spain
| | - Baptiste Auguié
- School
of Chemical and Physical Sciences, Victoria
University of Wellington, PO Box 600, Wellington 6140, New Zealand
- The
MacDiarmid
Institute for Advanced Materials and Nanotechnology, PO Box 600, Wellington 6140, New Zealand
- The Dodd-Walls
Centre for Quantum and Photonic Technologies, PO Box 56, Dunedin 9054, New Zealand
| | - Jeremy J. Baumberg
- NanoPhotonics
Centre, Cavendish Laboratory, University
of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - Guillermo C. Bazan
- Department
of Materials and Chemistry and Biochemistry, University of California, Santa
Barbara, California 93106-9510, United States
| | - Steven E. J. Bell
- School
of Chemistry and Chemical Engineering, Queen’s
University of Belfast, Belfast BT9 5AG, United Kingdom
| | - Anja Boisen
- Department
of Micro- and Nanotechnology, The Danish National Research Foundation
and Villum Foundation’s Center for Intelligent Drug Delivery
and Sensing Using Microcontainers and Nanomechanics, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Alexandre G. Brolo
- Department
of Chemistry, University of Victoria, P.O. Box 3065, Victoria, BC V8W 3 V6, Canada
- Center
for Advanced Materials and Related Technologies, University of Victoria, Victoria, BC V8W 2Y2, Canada
| | - Jaebum Choo
- Department
of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Dana Cialla-May
- Leibniz
Institute of Photonic Technology Jena - Member of the research alliance “Leibniz Health Technologies”, Albert-Einstein-Str. 9, Jena 07745, Germany
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, Jena 07745, Germany
| | - Volker Deckert
- Leibniz
Institute of Photonic Technology Jena - Member of the research alliance “Leibniz Health Technologies”, Albert-Einstein-Str. 9, Jena 07745, Germany
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, Jena 07745, Germany
| | - Laura Fabris
- Department
of Materials Science and Engineering, Rutgers
University, 607 Taylor Road, Piscataway New Jersey 08854, United States
| | - Karen Faulds
- Department
of Pure and Applied Chemistry, University
of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow G1 1RD, United Kingdom
| | - F. Javier García de Abajo
- ICREA-Institució
Catalana de Recerca i Estudis Avançats, Passeig Lluís Companys 23, Barcelona 08010, Spain
- The Barcelona
Institute of Science and Technology, Institut
de Ciencies Fotoniques, Castelldefels (Barcelona) 08860, Spain
| | - Royston Goodacre
- Department
of Biochemistry, Institute of Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Duncan Graham
- Department
of Pure and Applied Chemistry, University
of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow G1 1RD, United Kingdom
| | - Amanda J. Haes
- Department
of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States
| | - Christy L. Haynes
- Department
of Chemistry, University of Minnesota, 207 Pleasant Street SE, Minneapolis, Minnesota 55455, United States
| | - Christian Huck
- Kirchhoff
Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, Heidelberg 69120, Germany
| | - Tamitake Itoh
- Nano-Bioanalysis
Research Group, Health Research Institute, National Institute of Advanced Industrial Science and Technology, Takamatsu, Kagawa 761-0395, Japan
| | - Mikael Käll
- Department
of Physics, Chalmers University of Technology, Goteborg S412 96, Sweden
| | - Janina Kneipp
- Department
of Chemistry, Humboldt-Universität
zu Berlin, Brook-Taylor-Str. 2, Berlin-Adlershof 12489, Germany
| | - Nicholas A. Kotov
- Department
of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Hua Kuang
- Key Lab
of Synthetic and Biological Colloids, Ministry of Education, International
Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu 214122, China
- State Key
Laboratory of Food Science and Technology, Jiangnan University, JiangSu 214122, China
| | - Eric C. Le Ru
- School
of Chemical and Physical Sciences, Victoria
University of Wellington, PO Box 600, Wellington 6140, New Zealand
- The
MacDiarmid
Institute for Advanced Materials and Nanotechnology, PO Box 600, Wellington 6140, New Zealand
- The Dodd-Walls
Centre for Quantum and Photonic Technologies, PO Box 56, Dunedin 9054, New Zealand
| | - Hiang Kwee Lee
- Division
of Chemistry and Biological Chemistry, School of Physical and Mathematical
Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
| | - Jian-Feng Li
- State Key
Laboratory of Physical Chemistry of Solid Surfaces, Collaborative
Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory
of Spectrochemical Analysis & Instrumentation, Department of Chemistry,
College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xing Yi Ling
- Division
of Chemistry and Biological Chemistry, School of Physical and Mathematical
Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore
| | - Stefan A. Maier
- Chair in
Hybrid Nanosystems, Nanoinstitute Munich, Faculty of Physics, Ludwig-Maximilians-Universität München, Munich 80539, Germany
| | - Thomas Mayerhöfer
- Leibniz
Institute of Photonic Technology Jena - Member of the research alliance “Leibniz Health Technologies”, Albert-Einstein-Str. 9, Jena 07745, Germany
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, Jena 07745, Germany
| | - Martin Moskovits
- Department
of Chemistry & Biochemistry, University
of California Santa Barbara, Santa Barbara, California 93106-9510, United States
| | - Kei Murakoshi
- Department
of Chemistry, Faculty of Science, Hokkaido
University, North 10 West 8, Kita-ku, Sapporo,
Hokkaido 060-0810, Japan
| | - Jwa-Min Nam
- Department
of Chemistry, Seoul National University, Seoul 08826, South Korea
| | - Shuming Nie
- Department of Bioengineering, University of Illinois at Urbana-Champaign, 1406 W. Green Street, Urbana, Illinois 61801, United States
| | - Yukihiro Ozaki
- Department
of Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo 669-1337, Japan
| | | | - Jorge Perez-Juste
- Departamento
de Química Física and CINBIO, University of Vigo, Vigo 36310, Spain
| | - Juergen Popp
- Leibniz
Institute of Photonic Technology Jena - Member of the research alliance “Leibniz Health Technologies”, Albert-Einstein-Str. 9, Jena 07745, Germany
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, Jena 07745, Germany
| | - Annemarie Pucci
- Kirchhoff
Institute for Physics, University of Heidelberg, Im Neuenheimer Feld 227, Heidelberg 69120, Germany
| | - Stephanie Reich
- Department
of Physics, Freie Universität Berlin, Berlin 14195, Germany
| | - Bin Ren
- State Key
Laboratory of Physical Chemistry of Solid Surfaces, Collaborative
Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory
of Spectrochemical Analysis & Instrumentation, Department of Chemistry,
College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - George C. Schatz
- Department
of Chemistry, Northwestern University, Evanston, Illinois 60208-3113, United States
| | - Timur Shegai
- Department
of Physics, Chalmers University of Technology, Goteborg S412 96, Sweden
| | - Sebastian Schlücker
- Physical
Chemistry I, Department of Chemistry and Center for Nanointegration
Duisburg-Essen, University of Duisburg-Essen, Essen 45141, Germany
| | - Li-Lin Tay
- National
Research Council Canada, Metrology Research
Centre, Ottawa K1A0R6, Canada
| | - K. George Thomas
- School
of Chemistry, Indian Institute of Science
Education and Research Thiruvananthapuram, Vithura Thiruvananthapuram 695551, India
| | - Zhong-Qun Tian
- State Key
Laboratory of Physical Chemistry of Solid Surfaces, Collaborative
Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory
of Spectrochemical Analysis & Instrumentation, Department of Chemistry,
College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Richard P. Van Duyne
- Department
of Chemistry, Northwestern University, Evanston, Illinois 60208-3113, United States
| | - Tuan Vo-Dinh
- Fitzpatrick
Institute for Photonics, Department of Biomedical Engineering, and
Department of Chemistry, Duke University, 101 Science Drive, Box 90281, Durham, North Carolina 27708, United States
| | - Yue Wang
- Department
of Chemistry, College of Sciences, Northeastern
University, Shenyang 110819, China
| | - Katherine A. Willets
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Chuanlai Xu
- Key Lab
of Synthetic and Biological Colloids, Ministry of Education, International
Joint Research Laboratory for Biointerface and Biodetection, Jiangnan University, Wuxi, Jiangsu 214122, China
- State Key
Laboratory of Food Science and Technology, Jiangnan University, JiangSu 214122, China
| | - Hongxing Xu
- School
of Physics and Technology and Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Yikai Xu
- School
of Chemistry and Chemical Engineering, Queen’s
University of Belfast, Belfast BT9 5AG, United Kingdom
| | - Yuko S. Yamamoto
- School
of Materials Science, Japan Advanced Institute
of Science and Technology, Nomi, Ishikawa 923-1292, Japan
| | - Bing Zhao
- State Key
Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
| | - Luis M. Liz-Marzán
- CIC
biomaGUNE and CIBER-BBN, Paseo de Miramón 182, Donostia-San Sebastián 20014, Spain
- Ikerbasque,
Basque Foundation for Science, Bilbao 48013, Spain
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29
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Abstract
This is a review of relevant Raman spectroscopy (RS) techniques and their use in structural biology, biophysics, cells, and tissues imaging towards development of various medical diagnostic tools, drug design, and other medical applications. Classical and contemporary structural studies of different water-soluble and membrane proteins, DNA, RNA, and their interactions and behavior in different systems were analyzed in terms of applicability of RS techniques and their complementarity to other corresponding methods. We show that RS is a powerful method that links the fundamental structural biology and its medical applications in cancer, cardiovascular, neurodegenerative, atherosclerotic, and other diseases. In particular, the key roles of RS in modern technologies of structure-based drug design are the detection and imaging of membrane protein microcrystals with the help of coherent anti-Stokes Raman scattering (CARS), which would help to further the development of protein structural crystallography and would result in a number of novel high-resolution structures of membrane proteins—drug targets; and, structural studies of photoactive membrane proteins (rhodopsins, photoreceptors, etc.) for the development of new optogenetic tools. Physical background and biomedical applications of spontaneous, stimulated, resonant, and surface- and tip-enhanced RS are also discussed. All of these techniques have been extensively developed during recent several decades. A number of interesting applications of CARS, resonant, and surface-enhanced Raman spectroscopy methods are also discussed.
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30
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Colombo RNP, Gonçales VR, Gautam S, Tilley R, Gooding JJ, Córdoba de Torresi SI. Spatially localized electrodeposition of multiple metals via light-activated electrochemistry for surface enhanced Raman spectroscopy applications. Chem Commun (Camb) 2020; 56:5831-5834. [DOI: 10.1039/d0cc01661f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Light is used to activate spatially and temporally resolved electrodeposition of multiple metals onto silicon.
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Affiliation(s)
| | | | - Shreedhar Gautam
- School of Chemistry
- University of New South Wales Sydney
- Australia
| | - Richard Tilley
- School of Chemistry
- University of New South Wales Sydney
- Australia
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31
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Fan M, Andrade GFS, Brolo AG. A review on recent advances in the applications of surface-enhanced Raman scattering in analytical chemistry. Anal Chim Acta 2019; 1097:1-29. [PMID: 31910948 DOI: 10.1016/j.aca.2019.11.049] [Citation(s) in RCA: 199] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 11/18/2019] [Accepted: 11/20/2019] [Indexed: 12/13/2022]
Abstract
This review is focused on recent developments of surface-enhanced Raman scattering (SERS) applications in Analytical Chemistry. The work covers advances in the fabrication methods of SERS substrates, including nanoparticles immobilization techniques and advanced nanopatterning with metallic features. Recent insights in quantitative and sampling methods for SERS implementation and the development of new SERS-based approaches for both qualitative and quantitative analysis are discussed. The advent of methods for pre-concentration and new approaches for single-molecule SERS quantification, such as the digital SERS procedure, has provided additional improvements in the analytical figures-of-merit for analysis and assays based on SERS. The use of metal nanostructures as SERS detection elements integrated in devices, such as microfluidic systems and optical fibers, provided new tools for SERS applications that expand beyond the laboratory environment, bringing new opportunities for real-time field tests and process monitoring based on SERS. Finally, selected examples of SERS applications in analytical and bioanalytical chemistry are discussed. The breadth of this work reflects the vast diversity of subjects and approaches that are inherent to the SERS field. The state of the field indicates the potential for a variety of new SERS-based methods and technologies that can be routinely applied in analytical laboratories.
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Affiliation(s)
- Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China
| | - Gustavo F S Andrade
- Centro de Estudos de Materiais, Departamento de Química, Instituto de Ciências Exatas, Universidade Federal de Juiz de Fora, Campus Universitário s/n, CEP 36036-900, Juiz de Fora, Brazil
| | - Alexandre G Brolo
- Department of Chemistry, University of Victoria, PO Box 3055, Victoria, BC, V8W 3V6, Canada; Centre for Advanced Materials and Related Technology, University of Victoria, V8W 2Y2, Canada.
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32
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Gao S, He L. Development of a filtration-based SERS mapping platform for specific screening of Salmonella enterica serovar Enteritidis. Anal Bioanal Chem 2019; 411:7899-7906. [PMID: 31745614 DOI: 10.1007/s00216-019-02204-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 09/30/2019] [Accepted: 10/09/2019] [Indexed: 01/12/2023]
Abstract
The presence of Salmonella in natural freshwater and drinking water is a leading cause of intestinal illness all over the world; thus, the detection of Salmonella in water is of great importance to public health. The objective of this study is to develop a rapid screening method for the detection of Salmonella enterica serovar Enteritidis in water involving surface-enhanced Raman spectroscopy (SERS), aptamers, and filtration. SERS offers a great alternative to traditional methods of pathogen detection, with a simplified detection assay and shortened detection time. The specific capturing and labeling of Salmonella Enteritidis are realized by a specific single-stranded DNA aptamer, which is modified with an additional chain of adenine and fluorescein (FAM) and used as presence/absence indicator of Salmonella Enteritidis. By incorporating a vacuum filtration system, bacterial cells recognized by the specific aptamer are concentrated onto a membrane. With additional filtration of gold nanoparticles, the aptamer signals were captured and used to construct a SERS mapping indicating the presence and absence of target bacterial strains with potential quantitative capability. The specificity of the method was validated by using other strains of bacteria such as Escherichia coli and Listeria monocytogenes. The sensitivity of the method goes down to 103 CFU/mL for 1 mL of sample with a total detection and analyzing time within 3 h. This study demonstrates the capability of the filtration-based SERS platform for detecting Salmonella Enteritidis in various aqueous matrices such as distilled water and rinsing water from fresh produce with high selectivity and sensitivity. Graphical abstract.
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Affiliation(s)
- Siyue Gao
- Department of Food Science, University of Massachusetts Amherst, Amherst, MA, 01002, USA
| | - Lili He
- Department of Food Science, University of Massachusetts Amherst, Amherst, MA, 01002, USA.
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33
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Plasmonic-based platforms for diagnosis of infectious diseases at the point-of-care. Biotechnol Adv 2019; 37:107440. [PMID: 31476421 DOI: 10.1016/j.biotechadv.2019.107440] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 08/21/2019] [Indexed: 12/17/2022]
Abstract
Infectious diseases such as HIV-1/AIDS, tuberculosis (TB), hepatitis B (HBV), and malaria still exert a tremendous health burden on the developing world, requiring rapid, simple and inexpensive diagnostics for on-site diagnosis and treatment monitoring. However, traditional diagnostic methods such as nucleic acid tests (NATs) and enzyme linked immunosorbent assays (ELISA) cannot be readily implemented in point-of-care (POC) settings. Recently, plasmonic-based biosensors have emerged, offering an attractive solution to manage infectious diseases in the developing world since they can achieve rapid, real-time and label-free detection of various pathogenic biomarkers. Via the principle of plasmonic-based optical detection, a variety of biosensing technologies such as surface plasmon resonance (SPR), localized surface plasmon resonance (LSPR), colorimetric plasmonic assays, and surface enhanced Raman spectroscopy (SERS) have emerged for early diagnosis of HIV-1, TB, HBV and malaria. Similarly, plasmonic-based colorimetric assays have also been developed with the capability of multiplexing and cellphone integration, which is well suited for POC testing in the developing world. Herein, we present a comprehensive review on recent advances in surface chemistry, substrate fabrication, and microfluidic integration for the development of plasmonic-based biosensors, aiming at rapid management of infectious diseases at the POC, and thus improving global health.
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Mou XZ, Chen XY, Wang J, Zhang Z, Yang Y, Shou ZX, Tu YX, Du X, Wu C, Zhao Y, Qiu L, Jiang P, Chen C, Huang DS, Li YQ. Bacteria-Instructed Click Chemistry between Functionalized Gold Nanoparticles for Point-of-Care Microbial Detection. ACS APPLIED MATERIALS & INTERFACES 2019; 11:23093-23101. [PMID: 31184853 DOI: 10.1021/acsami.9b09279] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Bacterial infections pose mounting public health concerns and cause an enormous medical and financial burden today. Rapid and sensitive detection of pathogenic bacteria at the point of care (POC) remains a paramount challenge. Here, we report a novel concept of bacteria-instructed click chemistry and employ it for POC microbial sensing. In this concept of bacteria-instructed click chemistry, we demonstrate for the first time that pathogenic bacteria can capture and reduce exogenous Cu2+ to Cu+ by leveraging their unique metabolic processes. The produced Cu+ subsequently acts as a catalyst to trigger the click reaction between gold nanoparticles (AuNPs) modified with azide and alkyne functional molecules, resulting in the aggregation of nanoparticles with a color change of the solution from red to blue. In this process, signal amplification from click chemistry is complied with the aggregation of functionalized AuNPs, thus presenting a robust colorimetric strategy for sensitive POC sensing of pathogenic bacteria. Notably, this colorimetric strategy is easily integrated in a smartphone app as a portable platform to achieve one-click detection in a mobile way. Moreover, with the help of the magnetic preseparation process, this smartphone app-assisted platform enables rapid (within 1 h) detection of Escherichia coli with high sensitivity (40 colony-forming units/mL) in the complex artificial sepsis blood samples, showing great potential for clinical early diagnosis of bacterial infections.
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Affiliation(s)
- Xiao-Zhou Mou
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province , Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College) , Hangzhou 310014 , China
| | - Xiao-Yi Chen
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province , Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College) , Hangzhou 310014 , China
| | - Jianhao Wang
- School of Pharmaceutical Engineering and Life Science , Changzhou University , Changzhou 213164 , China
| | - Zhaotian Zhang
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions , Soochow University , Suzhou 215123 , China
| | - Yanmei Yang
- College of Chemistry, Chemical Engineering and Materials Science , Shandong Normal University , Jinan 250014 , China
| | - Zhang-Xuan Shou
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province , Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College) , Hangzhou 310014 , China
| | - Yue-Xing Tu
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province , Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College) , Hangzhou 310014 , China
| | - Xuancheng Du
- School of Pharmaceutical Engineering and Life Science , Changzhou University , Changzhou 213164 , China
| | - Chun Wu
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions , Soochow University , Suzhou 215123 , China
| | - Yuan Zhao
- School of Pharmaceutical Engineering and Life Science , Changzhou University , Changzhou 213164 , China
| | - Lin Qiu
- School of Pharmaceutical Engineering and Life Science , Changzhou University , Changzhou 213164 , China
| | - Pengju Jiang
- School of Pharmaceutical Engineering and Life Science , Changzhou University , Changzhou 213164 , China
| | - Chunying Chen
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety , National Center for Nanoscience and Technology of China , Beijing 100190 , China
| | - Dong-Sheng Huang
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province , Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College) , Hangzhou 310014 , China
| | - Yong-Qiang Li
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions , Soochow University , Suzhou 215123 , China
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Li J, Fu W, Wang Z, Dai Z. Substrate specificity-enabled terminal protection for direct quantification of circulating MicroRNA in patient serums. Chem Sci 2019; 10:5616-5623. [PMID: 31293746 PMCID: PMC6552989 DOI: 10.1039/c8sc05240a] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 04/28/2019] [Indexed: 12/12/2022] Open
Abstract
Currently, reported affinity pairings still lack in diversity, and thus terminal protection relying on steric hindrance is restricted in designing nucleic acid-based analytical systems. In this work, resistance to exonuclease is testified by group modification or backbone replacement, and the 3'-phosphate group (P) reveals the strongest exonuclease I-resistant capability. Due to the substrate specificity of enzymatic catalysis, this 3'-P protection works in a "direct mode". By introducing DNA templated copper nanoparticles, an alkaline phosphatase assay is performed to confirm the 3'-P protection. To display the application of this novel terminal protection, a multifunctional DNA is designed to quantify the model circulating microRNA (hsa-miR-21-5p) in serums from different cancer patients. According to our data, hsa-miR-21-5p-correlated cancers can be evidently distinguished from non-correlated cancers. Meanwhile, the effect of chemotherapy and radiotherapy on breast cancer is evaluated from the perspective of hsa-miR-21-5p residue in serums. Since greatly reducing the limitations of DNA design, this P-induced terminal protection can be facilely integrated with other DNA manipulations, thereby constructing more advanced biosensors with improved analytical performances for clinical applications.
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Affiliation(s)
- Junyao Li
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials , Jiangsu Key Laboratory of Biofunctional Materials , School of Chemistry and Materials Science , Nanjing Normal University , Nanjing , 210023 , P. R. China . ; ; Tel: +86-25-85891051
| | - Wenxin Fu
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials , Jiangsu Key Laboratory of Biofunctional Materials , School of Chemistry and Materials Science , Nanjing Normal University , Nanjing , 210023 , P. R. China . ; ; Tel: +86-25-85891051
| | - Zhaoyin Wang
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials , Jiangsu Key Laboratory of Biofunctional Materials , School of Chemistry and Materials Science , Nanjing Normal University , Nanjing , 210023 , P. R. China . ; ; Tel: +86-25-85891051
| | - Zhihui Dai
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials , Jiangsu Key Laboratory of Biofunctional Materials , School of Chemistry and Materials Science , Nanjing Normal University , Nanjing , 210023 , P. R. China . ; ; Tel: +86-25-85891051
- Nanjing Normal University Center for Analysis and Testing , Nanjing , 210023 , P. R. China
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36
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Schechinger M, Marks H, Mabbott S, Choudhury M, Cote' G. A SERS approach for rapid detection of microRNA-17 in the picomolar range. Analyst 2019; 144:4033-4044. [PMID: 31143920 DOI: 10.1039/c9an00653b] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Epigenetic biomarkers are powerful tools for early disease detection and are particularly useful for elusive conditions like preeclampsia. Predicting preeclampsia at an early stage is one of the most important goals of maternal-fetal medicine. To this end, recent studies have identified microRNAs-such as microRNA-17-as early biomarkers for preeclampsia. Yet clinical applications are lagging, owing in part to the sensing challenges presented by the biomarkers' small size and complex environment. Surface enhanced Raman spectroscopy (SERS) is an emergent optical technique that is recognized for its potential to overcome these challenges. In this study, DNA functionalized nanoparticles were designed as probes to capture and quantify miRNA-17 in solution. SERS was used to determine the presence and concentration of miRNA-17 based on the formation of plasmonic nanoparticle aggregates. The miRNA-17 assay was tested at concentrations of 1 pM to 1 nM in both PBS and a representative complex biological sample. In both situations the assay was unaffected by non-complementary microRNA samples. These results demonstrate SERS's specificity and sensitivity for a new biomarker (miRNA-17) that may ultimately be used in a detection platform for early diagnosis of preeclampsia.
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Affiliation(s)
- Monika Schechinger
- Texas A&M University, Department of Biomedical Engineering, 5045 Emerging Technologies Building, College Station, Texas 77843, USA.
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37
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Sivashanmugan K, Squire K, Tan A, Zhao Y, Kraai JA, Rorrer GL, Wang AX. Trace Detection of Tetrahydrocannabinol in Body Fluid via Surface-Enhanced Raman Scattering and Principal Component Analysis. ACS Sens 2019; 4:1109-1117. [PMID: 30907578 DOI: 10.1021/acssensors.9b00476] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Tetrahydrocannabinol (THC) is the main active component in marijuana and the rapid detection of THC in human body fluid plays a critical role in forensic analysis and public health. Surface-enhanced Raman scattering (SERS) sensing has been increasingly used to detect illicit drugs; however, only limited SERS sensing results of THC in methanol solution have been reported, while its presence in body fluids, such as saliva or plasma, has yet to be investigated. In this article, we demonstrate the trace detection of THC in human plasma and saliva solution using a SERS-active substrate formed by in situ growth of silver nanoparticles (Ag NPs) on diatom frustules. THC at extremely low concentration of 1 pM in plasma and purified saliva solutions were adequately distinguished with good reproducibility. The SERS peak at 1603 cm-1 with standard deviation of 3.4 cm-1 was used for the evaluation of THC concentration in a methanol solution. Our SERS measurement also shows that this signature peak experiences a noticeable wavenumber shift and a slightly wider variation in the plasma and saliva solution. Additionally, we observed that THC in plasma or saliva samples produces a strong SERS peak at 1621 cm-1 due to the stretching mode of O-C═O, which is related to the metabolic change of THC structures in body fluid. To conduct a quantitative analysis, principal component analysis (PCA) was applied to analyze the SERS spectra of 1 pM THC in methanol solution, plasma, and purified saliva samples. The maximum variability of the first three principal components was achieved at 71%, which clearly denotes the impact of different biological background signals. Similarly, the SERS spectra of THC in raw saliva solution under various metabolic times were studied using PCA and 98% of the variability is accounted for in the first three principal components. The clear separation of samples measured at different THC resident times can provide time-dependent information on the THC metabolic process in body fluids. A linear regression model was used to estimate the metabolic rate of THC in raw saliva and the predicted metabolic time in the testing data set matched well with the training data set. In summary, the hybrid plasmonic-biosilica SERS substrate can achieve ultrasensitive, near-quantitative detection of trace levels of THC in complex body fluids, which can potentially transform forensic sensing techniques to detect marijuana abuse.
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38
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Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9071448] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Diagnosis is the key component in disease elimination to improve global health. However, there is a tremendous need for diagnostic innovation for neglected tropical diseases that largely consist of mosquito-borne infections and bacterial infections. Early diagnosis of these infectious diseases is critical but challenging because the biomarkers are present at low concentrations, demanding bioanalytical techniques that can deliver high sensitivity with ensured specificity. Owing to the plasmonic nanomaterials-enabled high detection sensitivities, even up to single molecules, surface-enhanced Raman spectroscopy (SERS) has gained attention as an optical analytical tool for early disease biomarker detection. In this mini-review, we highlight the SERS-based assay development tailored to detect key types of biomarkers for mosquito-borne and bacterial infections. We discuss in detail the variations of SERS-based techniques that have developed to afford qualitative and quantitative disease biomarker detection in a more accurate, affordable, and field-transferable manner. Current and emerging challenges in the advancement of SERS-based technologies from the proof-of-concept phase to the point-of-care phase are also briefly discussed.
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39
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Enhancing Disease Diagnosis: Biomedical Applications of Surface-Enhanced Raman Scattering. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9061163] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Surface-enhanced Raman scattering (SERS) has recently gained increasing attention for the detection of trace quantities of biomolecules due to its excellent molecular specificity, ultrasensitivity, and quantitative multiplex ability. Specific single or multiple biomarkers in complex biological environments generate strong and distinct SERS spectral signals when they are in the vicinity of optically active nanoparticles (NPs). When multivariate chemometrics are applied to decipher underlying biomarker patterns, SERS provides qualitative and quantitative information on the inherent biochemical composition and properties that may be indicative of healthy or diseased states. Moreover, SERS allows for differentiation among many closely-related causative agents of diseases exhibiting similar symptoms to guide early prescription of appropriate, targeted and individualised therapeutics. This review provides an overview of recent progress made by the application of SERS in the diagnosis of cancers, microbial and respiratory infections. It is envisaged that recent technology development will help realise full benefits of SERS to gain deeper insights into the pathological pathways for various diseases at the molecular level.
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40
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Kim WH, Lee JU, Song S, Kim S, Choi YJ, Sim SJ. A label-free, ultra-highly sensitive and multiplexed SERS nanoplasmonic biosensor for miRNA detection using a head-flocked gold nanopillar. Analyst 2019; 144:1768-1776. [DOI: 10.1039/c8an01745j] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The combination of head-flocked gold nanopillars and sandwich DNA probes is an advanced label-free, ultra-high sensitive, multiplexed nanoplasmonic detection system of circulating miRNAs for cancer diagnosis and prognosis.
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Affiliation(s)
- Woo Hyun Kim
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
| | - Jong Uk Lee
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
| | - Sojin Song
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
| | - Soohyun Kim
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
| | - Young Jae Choi
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
| | - Sang Jun Sim
- Department of Chemical and Biological Engineering
- Korea University
- Seoul 02841
- South Korea
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41
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Zou Z, Yang H, Yan Q, Qi P, Qing Z, Zheng J, Xu X, Zhang L, Feng F, Yang R. Synchronous screening of multiplexed biomarkers of Alzheimer's disease by a length-encoded aerolysin nanopore-integrated triple-helix molecular switch. Chem Commun (Camb) 2019; 55:6433-6436. [DOI: 10.1039/c9cc02065a] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
A label-free triple-helix molecular switch-mediated nanopore sensor is developed for the synchronous screening of biomarkers of Alzheimer's disease.
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Affiliation(s)
- Zhen Zou
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
| | - Hua Yang
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
| | - Qi Yan
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
| | - Peng Qi
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
| | - Zhihe Qing
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
| | - Jing Zheng
- State Key Laboratory of Chemo/Biosensing and Chemometrics
- Hunan University
- Changsha 410082
- P. R. China
| | - Xuan Xu
- Children's Medical Center
- People's Hospital of Hunan Province
- Changsha
- P. R. China
| | - Lihua Zhang
- College of Chemistry and Environmental Engineering
- Shanxi Datong University
- Datong
- P. R. China
| | - Feng Feng
- College of Chemistry and Environmental Engineering
- Shanxi Datong University
- Datong
- P. R. China
| | - Ronghua Yang
- Changsha University of Science and Technology
- School of Chemistry and Food Engineering
- Changsha
- P. R. China
- State Key Laboratory of Chemo/Biosensing and Chemometrics
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42
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Muhamadali H, Subaihi A, Mohammadtaheri M, Xu Y, Ellis DI, Ramanathan R, Bansal V, Goodacre R. Rapid, accurate, and comparative differentiation of clinically and industrially relevant microorganisms via multiple vibrational spectroscopic fingerprinting. Analyst 2018; 141:5127-36. [PMID: 27414261 DOI: 10.1039/c6an00883f] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Despite the fact that various microorganisms (e.g., bacteria, fungi, viruses, etc.) have been linked with infectious diseases, their crucial role towards sustaining life on Earth is undeniable. The huge biodiversity, combined with the wide range of biochemical capabilities of these organisms, have always been the driving force behind their large number of current, and, as of yet, undiscovered future applications. The presence of such diversity could be said to expedite the need for the development of rapid, accurate and sensitive techniques which allow for the detection, differentiation, identification and classification of such organisms. In this study, we employed Fourier transform infrared (FT-IR), Raman, and surface enhanced Raman scattering (SERS) spectroscopies, as molecular whole-organism fingerprinting techniques, combined with multivariate statistical analysis approaches for the classification of a range of industrial, environmental or clinically relevant bacteria (P. aeruginosa, P. putida, E. coli, E. faecium, S. lividans, B. subtilis, B. cereus) and yeast (S. cerevisiae). Principal components-discriminant function analysis (PC-DFA) scores plots of the spectral data collected from all three techniques allowed for the clear differentiation of all the samples down to sub-species level. The partial least squares-discriminant analysis (PLS-DA) models generated using the SERS spectral data displayed lower accuracy (74.9%) when compared to those obtained from conventional Raman (97.8%) and FT-IR (96.2%) analyses. In addition, whilst background fluorescence was detected in Raman spectra for S. cerevisiae, this fluorescence was quenched when applying SERS to the same species, and conversely SERS appeared to introduce strong fluorescence when analysing P. putida. It is also worth noting that FT-IR analysis provided spectral data of high quality and reproducibility for the whole sample set, suggesting its applicability to a wider range of samples, and perhaps the most suitable for the analysis of mixed cultures in future studies. Furthermore, our results suggest that while each of these spectroscopic approaches may favour different organisms (sample types), when combined, they would provide complementary and more in-depth knowledge (structural and/or metabolic state) of biological systems. To the best of our knowledge, this is the first time that such a comparative and combined spectroscopic study (using FT-IR, Raman and SERS) has been carried out on microbial samples.
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Affiliation(s)
- Howbeer Muhamadali
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
| | - Abdu Subaihi
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
| | - Mahsa Mohammadtaheri
- Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, Australia
| | - Yun Xu
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
| | - David I Ellis
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
| | - Rajesh Ramanathan
- Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, Australia
| | - Vipul Bansal
- Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, Australia
| | - Royston Goodacre
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
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Willner MR, McMillan KS, Graham D, Vikesland PJ, Zagnoni M. Surface-Enhanced Raman Scattering Based Microfluidics for Single-Cell Analysis. Anal Chem 2018; 90:12004-12010. [DOI: 10.1021/acs.analchem.8b02636] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Marjorie R. Willner
- Department of Civil and Environmental Engineering and the Institute for Critical Technology and Applied Science Center for Sustainable Nanotechnology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, United States
| | - Kay S. McMillan
- Centre
for Microsystems
and Photonics, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, U.K
| | - Duncan Graham
- Centre for Molecular
Nanometrology, Department of Pure and Applied Chemistry, WestCHEM, University of Strathclyde, Glasgow G1 1XL, U.K
| | - Peter J. Vikesland
- Department of Civil and Environmental Engineering and the Institute for Critical Technology and Applied Science Center for Sustainable Nanotechnology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, United States
| | - Michele Zagnoni
- Centre
for Microsystems
and Photonics, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, U.K
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44
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Jia M, Li S, Zang L, Lu X, Zhang H. Analysis of Biomolecules Based on the Surface Enhanced Raman Spectroscopy. NANOMATERIALS (BASEL, SWITZERLAND) 2018; 8:E730. [PMID: 30223597 PMCID: PMC6165412 DOI: 10.3390/nano8090730] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 09/10/2018] [Accepted: 09/14/2018] [Indexed: 12/24/2022]
Abstract
Analyzing biomolecules is essential for disease diagnostics, food safety inspection, environmental monitoring and pharmaceutical development. Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for detecting biomolecules due to its high sensitivity, rapidness and specificity in identifying molecular structures. This review focuses on the SERS analysis of biomolecules originated from humans, animals, plants and microorganisms, combined with nanomaterials as SERS substrates and nanotags. Recent advances in SERS detection of target molecules were summarized with different detection strategies including label-free and label-mediated types. This comprehensive and critical summary of SERS analysis of biomolecules might help researchers from different scientific backgrounds spark new ideas and proposals.
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Affiliation(s)
- Min Jia
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University (BTBU), Beijing 100048, China.
| | - Shenmiao Li
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
| | - Liguo Zang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
| | - Xiaonan Lu
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
| | - Hongyan Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Institute of Biomedical Sciences, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan 250014, China.
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Goodacre R, Graham D, Faulds K. Recent developments in quantitative SERS: Moving towards absolute quantification. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.03.005] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Xu N, Xu N, Liu L, Zhu P, Liang J. Minireview: Recent Advances in Surface-Enhanced Raman Scattering-Based Nucleic Acid Detection with Application to Pathogen Diagnosis. ANAL LETT 2018. [DOI: 10.1080/00032719.2017.1392971] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Nannan Xu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, People’s Republic of China
| | - Ning Xu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, People’s Republic of China
| | - Li Liu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, People’s Republic of China
| | - Panpan Zhu
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, People’s Republic of China
| | - Jing Liang
- Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, People’s Republic of China
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Bozkurt AG, Buyukgoz GG, Soforoglu M, Tamer U, Suludere Z, Boyaci IH. Alkaline phosphatase labeled SERS active sandwich immunoassay for detection of Escherichia coli. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 194:8-13. [PMID: 29306060 DOI: 10.1016/j.saa.2017.12.057] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/09/2017] [Accepted: 12/20/2017] [Indexed: 05/18/2023]
Abstract
In this study, a sandwich immunoassay method utilizing enzymatic activity of alkaline phosphatase (ALP) on 5-bromo-4-chloro-3-indolyl phosphate (BCIP) for Escherichia coli (E. coli) detection was developed using surface enhanced Raman spectroscopy (SERS). For this purpose, spherical magnetic gold coated core-shell nanoparticles (MNPs-Au) and rod shape gold nanoparticles (Au-NRs) were synthesized and modified for immunomagnetic separation (IMS) of E. coli from the solution. In order to specify the developed method to ALP activity, Au-NRs were labeled with this enzyme. After successful construction of the immunoassay, BCIP substrate was added to produce the SERS-active product; 5-bromo-4-chloro-3-indole (BCI). A good linearity (R2=0.992) was established between the specific SERS intensity of BCI at 600cm-1 and logarithmic E. coli concentration in the range of 1.7×101-1.7×106cfumL-1. LOD and LOQ values were also calculated and found to be 10cfumL-1 and 30cfumL-1, respectively.
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Affiliation(s)
- Akif Goktug Bozkurt
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
| | - Guluzar Gorkem Buyukgoz
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
| | - Mehmet Soforoglu
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
| | - Ugur Tamer
- Department of Analytical Chemistry, Faculty of Pharmacy, Gazi University, 06330 Ankara, Turkey
| | - Zekiye Suludere
- Department of Biology, Science Faculty, Gazi University, 06500 Ankara, Turkey
| | - Ismail Hakki Boyaci
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey.
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Abstract
Rapid detection of foodborne pathogens at an early stage is imperative for preventing the outbreak of foodborne diseases, known as serious threats to human health. Conventional bacterial culturing methods for foodborne pathogen detection are time consuming, laborious, and with poor pathogen diagnosis competences. This has prompted researchers to call the current status of detection approaches into question and leverage new technologies for superior pathogen sensing outcomes. Novel strategies mainly rely on incorporating all the steps from sample preparation to detection in miniaturized devices for online monitoring of pathogens with high accuracy and sensitivity in a time-saving and cost effective manner. Lab on chip is a blooming area in diagnosis, which exploits different mechanical and biological techniques to detect very low concentrations of pathogens in food samples. This is achieved through streamlining the sample handling and concentrating procedures, which will subsequently reduce human errors and enhance the accuracy of the sensing methods. Integration of sample preparation techniques into these devices can effectively minimize the impact of complex food matrix on pathogen diagnosis and improve the limit of detections. Integration of pathogen capturing bio-receptors on microfluidic devices is a crucial step, which can facilitate recognition abilities in harsh chemical and physical conditions, offering a great commercial benefit to the food-manufacturing sector. This article reviews recent advances in current state-of-the-art of sample preparation and concentration from food matrices with focus on bacterial capturing methods and sensing technologies, along with their advantages and limitations when integrated into microfluidic devices for online rapid detection of pathogens in foods and food production line.
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Ngo HT, Freedman E, Odion RA, Strobbia P, De Silva Indrasekara AS, Vohra P, Taylor SM, Vo-Dinh T. Direct Detection of Unamplified Pathogen RNA in Blood Lysate using an Integrated Lab-in-a-Stick Device and Ultrabright SERS Nanorattles. Sci Rep 2018; 8:4075. [PMID: 29511216 PMCID: PMC5840326 DOI: 10.1038/s41598-018-21615-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 01/23/2018] [Indexed: 12/19/2022] Open
Abstract
Direct detection of genetic biomarkers in body fluid lysate without target amplification will revolutionize nucleic acid-based diagnostics. However, the low concentration of target sequences makes this goal challenging. We report a method for direct detection of pathogen RNA in blood lysate using a bioassay using surface-enhanced Raman spectroscopy (SERS)-based detection integrated in a "lab-in-a-stick" portable device. Two levels of signal enhancement were employed to achieve the sensitivity required for direct detection. Each target sequence was tagged with an ultrabright SERS-encoded nanorattle with ultrahigh SERS signals, and these tagged target sequences were concentrated into a focused spot for detection using hybridization sandwiches with magnetic microbeads. Furthermore, the washing process was automated by integration into a "lab-in-a-stick" portable device. We could directly detect synthetic target with a limit of detection of 200 fM. More importantly, we detected plasmodium falciparum malaria parasite RNA directly in infected red blood cells lysate. To our knowledge, this is the first report of SERS-based direct detection of pathogen nucleic acid in blood lysate without nucleic acid extraction or target amplification. The results show the potential of our integrated bioassay for field use and point-of-care diagnostics.
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Affiliation(s)
- Hoan T Ngo
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
- Biomedical Engineering Department, International University, Vietnam National University-Ho Chi Minh City (VNU-HCMC), Ho Chi Minh City, Vietnam
| | - Elizabeth Freedman
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Medicine & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
| | - Ren Abelard Odion
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Pietro Strobbia
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Agampodi Swarnapali De Silva Indrasekara
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Priya Vohra
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
- Division of Head and Neck Surgery and Communication Sciences, Duke University, Durham, NC, 27708, USA
| | - Steve M Taylor
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA
- Department of Medicine & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
| | - Tuan Vo-Dinh
- Fitzpatrick Institute for Photonics, Duke University, Durham, NC, 27708, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
- Department of Chemistry, Duke University, Durham, NC, 27708, USA.
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50
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Restaino SM, White IM. Real-time multiplexed PCR using surface enhanced Raman spectroscopy in a thermoplastic chip. LAB ON A CHIP 2018; 18:832-839. [PMID: 29436552 DOI: 10.1039/c7lc01227f] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Surface enhanced Raman spectroscopy (SERS) has the potential to enable point-of-care sensing across the spectrum of chemical and biological analytes. In diagnostic assays, SERS has been demonstrated to increase the multiplexing density while reducing the burden of fluorescence hardware. One particular application of interest is the use of SERS to provide a multiplexed optical read-out following polymerase chain reaction (PCR). To date, however, the reported PCR-SERS assays require endpoint mixing with a plasmonic nanoparticle solution for detection, thus adding manual steps and preventing real-time, quantitative PCR. In this work, we detail a real-time PCR-SERS thermoplastic microsystem that allows simultaneous nucleic acid amplification and product separation into a SERS-active silver colloid for real-time detection. Specifically, a laser cut thermoplastic fluidic chip has been devised to utilize a dialysis membrane capable of isolating a PCR reaction from the silver colloid. As the reaction progresses, a Raman-reporter-labeled DNA probe is degraded, liberating the reporter from probe DNA, allowing passage across the size-restricting dialysis membrane into the SERS-active colloid, where the accumulating reporter can be measured in real time. Here, we demonstrate that this system is capable of real-time and single-well multiplexed readout of a PCR reaction to simultaneously detect two biomarker genes for methicillin-resistant S. aureus (MRSA).
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Affiliation(s)
- S M Restaino
- Fischell Department of Bioengineering, University of Maryland, College Park, USA.
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