1
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Barkey M, Büchner R, Wester A, Pritzl SD, Makarenko M, Wang Q, Weber T, Trauner D, Maier SA, Fratalocchi A, Lohmüller T, Tittl A. Pixelated High- Q Metasurfaces for in Situ Biospectroscopy and Artificial Intelligence-Enabled Classification of Lipid Membrane Photoswitching Dynamics. ACS NANO 2024; 18:11644-11654. [PMID: 38653474 PMCID: PMC11080459 DOI: 10.1021/acsnano.3c09798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 04/25/2024]
Abstract
Nanophotonic devices excel at confining light into intense hot spots of electromagnetic near fields, creating exceptional opportunities for light-matter coupling and surface-enhanced sensing. Recently, all-dielectric metasurfaces with ultrasharp resonances enabled by photonic bound states in the continuum (BICs) have unlocked additional functionalities for surface-enhanced biospectroscopy by precisely targeting and reading out the molecular absorption signatures of diverse molecular systems. However, BIC-driven molecular spectroscopy has so far focused on end point measurements in dry conditions, neglecting the crucial interaction dynamics of biological systems. Here, we combine the advantages of pixelated all-dielectric metasurfaces with deep learning-enabled feature extraction and prediction to realize an integrated optofluidic platform for time-resolved in situ biospectroscopy. Our approach harnesses high-Q metasurfaces specifically designed for operation in a lossy aqueous environment together with advanced spectral sampling techniques to temporally resolve the dynamic behavior of photoswitchable lipid membranes. Enabled by a software convolutional neural network, we further demonstrate the real-time classification of the characteristic cis and trans membrane conformations with 98% accuracy. Our synergistic sensing platform incorporating metasurfaces, optofluidics, and deep learning reveals exciting possibilities for studying multimolecular biological systems, ranging from the behavior of transmembrane proteins to the dynamic processes associated with cellular communication.
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Affiliation(s)
- Martin Barkey
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
| | - Rebecca Büchner
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
- Nanophotonic
Systems Laboratory, ETH Zürich, 8092 Zürich, Switzerland
| | - Alwin Wester
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
| | - Stefanie D. Pritzl
- Chair
for Photonics and Optoelectronics, Nano-Institute Munich, Faculty
of Physics, Ludwig-Maximilians-Universtität
München, Königinstraße
10, 80539 München, Germany
- Department
of Physics and Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 1, 3584 CC Utrecht, The Netherlands
| | - Maksim Makarenko
- PRIMALIGHT,
Faculty of Electrical Engineering, King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Qizhou Wang
- PRIMALIGHT,
Faculty of Electrical Engineering, King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Thomas Weber
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
| | - Dirk Trauner
- Department
of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6323, United
States
| | - Stefan A. Maier
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
- School of
Physics and Astronomy, Monash University, Wellington Road, Clayton, VIC 3800, Australia
- The Blackett
Laboratory, Department of Physics, Imperial
College London, London, SW7 2AZ, United Kingdom
| | - Andrea Fratalocchi
- PRIMALIGHT,
Faculty of Electrical Engineering, King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Theobald Lohmüller
- Chair
for Photonics and Optoelectronics, Nano-Institute Munich, Faculty
of Physics, Ludwig-Maximilians-Universtität
München, Königinstraße
10, 80539 München, Germany
| | - Andreas Tittl
- Chair
in Hybrid Nanosystems, Nano-Institute Munich, Faculty of Physics, Ludwig-Maximilians-Universtität München, Königinstraße 10, 80539 München, Germany
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2
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Hu H, Tian Y, Chen P, Chu W. Perspective on Tailored Nanostructure-Dominated SPP Effects for SERS. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2303001. [PMID: 38031315 DOI: 10.1002/adma.202303001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/14/2023] [Indexed: 12/01/2023]
Abstract
Localized surface plasmon resonance (LSPR) excited by an incident light can normally produce strong surface-enhanced Raman scattering (SERS) at the nanogaps among plasmonic nano-objects (so-called hot spots), which is extensively explored. In contrast, surface plasmon polaritons (SPPs) that can be generated by an incident beam via particular structures with a conservation of wave vectors can excite SERS effects as well. SPPs actually play an indispensable role in high-performance SERS devices but receive much less attention. In this perspective, SPPs and their couplings with LSPR for SERS excitations with differing effectiveness through particular plasmonic/dielectric structures/configurations, along with relevant fabrication approaches, are profoundly reviewed and commented on from a unique perspective from in situ to ex situ excitations of SERS enabled by spatiotemporally separated multiple processes of SPPs. Quantitative design of particular configurations/architectures enabling highly efficient and effective multiple processes of SPPs is particularly emphasized as one giant leap toward ultimate full quantitative design of intrinsically high-performance SERS chips and very critical for their batch manufacturability and applications as well. The viewpoints and prospects about innovative SERS devices based on tailored structure-dominated SPPs effects and their coupling with LSPR are presented and discussed.
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Affiliation(s)
- Haifeng Hu
- Nanofabrication Laboratory, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Yi Tian
- Nanofabrication Laboratory, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Peipei Chen
- Nanofabrication Laboratory, National Center for Nanoscience and Technology, Beijing, 100190, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weiguo Chu
- Nanofabrication Laboratory, National Center for Nanoscience and Technology, Beijing, 100190, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
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3
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Wang X, Li F, Wei L, Huang Y, Wen X, Wang D, Cheng G, Zhao R, Lin Y, Yang H, Fan M. Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting. Anal Chem 2024; 96:4682-4692. [PMID: 38450485 DOI: 10.1021/acs.analchem.4c00064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Accurate and rapid differentiation and authentication of agricultural products based on their origin and quality are crucial to ensuring food safety and quality control. However, similar chemical compositions and complex matrices often hinder precise identification, particularly for adulterated samples. Herein, we propose a novel method combining multiplex surface-enhanced Raman scattering (SERS) fingerprinting with a one-dimensional convolutional neural network (1D-CNN), which enables the effective differentiation of the category, origin, and grade of agricultural products. This strategy leverages three different SERS-active nanoparticles as multiplex sensors, each tailored to selectively amplify the signals of preferentially adsorbed chemicals within the sample. By strategically combining SERS spectra from different NPs, a 'SERS super-fingerprint' is constructed, offering a more comprehensive representation of the characteristic information on agricultural products. Subsequently, utilizing a custom-designed 1D-CNN model for feature extraction from the 'super-fingerprint' significantly enhances the predictive accuracy for agricultural products. This strategy successfully identified various agricultural products and simulated adulterated samples with exceptional accuracy, reaching 97.7% and 94.8%, respectively. Notably, the entire identification process, encompassing sample preparation, SERS measurement, and deep learning analysis, takes only 35 min. This development of deep learning-assisted multiplex SERS fingerprinting establishes a rapid and reliable method for the identification and authentication of agricultural products.
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Affiliation(s)
- Xueqing Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Fan Li
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Lan Wei
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Yun Huang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Xiang Wen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Dongmei Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Guiguang Cheng
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Ruijuan Zhao
- Guizhou Academy of Tobacco Science, Guiyang 550081, China
| | - Yechun Lin
- Guizhou Academy of Tobacco Science, Guiyang 550081, China
| | - Hui Yang
- Guizhou Academy of Tobacco Science, Guiyang 550081, China
| | - Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
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4
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Wang W, Vikesland PJ. SERS-Active Printable Hydrogel for 3D Cell Culture and Imaging. Anal Chem 2023; 95:18055-18064. [PMID: 37934619 DOI: 10.1021/acs.analchem.3c02641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Hydrogel-based three-dimensional (3D) cell culture systems mimic the salient elements of extracellular matrices and promote native cell function. However, high-resolution 3D cell imaging that can provide biological information about multiple features of individual cells is yet to be realized. In this context, we incorporated plasmonic gold nanoparticles (AuNPs) into an alginate/gelatin hydrogel to produce surface-enhanced Raman spectroscopy (SERS)-active hydrogel inks for the 3D printing and culturing of Vero cells. Dense incorporation of AuNPs enables production of a printed 3D grid structure with 3D SERS performance, but with no measurable adverse effects on cell growth. Label-free SERS spectra were collected within a hydrogel, and a random forest binary classifier was developed to discriminate Vero cell signals from the hydrogel background with an accuracy of 87.5%. The results suggest that SERS signals from cellular components, such as proteins, lipids, and carbohydrates, account for this discrimination. We demonstrate visualization of cell shape, location, and density by combining predicted binary maps with peak feature intensity maps in 2D and 3D. SERS images with a resolution of ≈3 μm match well with the microscopy images and show clear increases in intensity with incubation time. We suggest that 3D SERS cell imaging is a promising means to examine the effect of external cell stimuli on cellular behavior for diagnostic purposes.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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5
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Geng X, Zhou ZA, Mi Y, Wang C, Wang M, Guo C, Qu C, Feng S, Kim I, Yu M, Ji H, Ren X. Glioma Single-Cell Biomechanical Analysis by Cyclic Conical Constricted Microfluidics. Anal Chem 2023; 95:15585-15594. [PMID: 37843131 DOI: 10.1021/acs.analchem.3c02434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Determining the grade of glioma is a critical step in choosing patients' treatment plans in clinical practices. The pathological diagnosis of patient's glioma samples requires extensive staining and imaging procedures, which are expensive and time-consuming. Current advanced uniform-width-constriction-channel-based microfluidics have proven to be effective in distinguishing cancer cells from normal tissues, such as breast cancer, ovarian cancer, prostate cancer, etc. However, the uniform-width-constriction channels can result in low yields on glioma cells with irregular morphologies and high heterogeneity. In this research, we presented an innovative cyclic conical constricted (CCC) microfluidic device to better differentiate glioma cells from normal glial cells. Compared with the widely used uniform-width-constriction microchannels, the new CCC configuration forces single cells to deform gradually and obtains the biophysical attributes from each deformation. The human-derived glioma cell lines U-87 and U-251, as well as the human-derived normal glial astrocyte cell line HA-1800 were selected as the proof of concept. The results showed that CCC channels can effectively obtain the biomechanical characteristics of different 12-25 μm glial cell lines. The patient glioma samples with WHO grades II, III, and IV were tested by CCC channels and compared between Elastic Net (ENet) and Lasso analysis. The results demonstrated that CCC channels and the ENet can successfully select critical biomechanical parameters to differentiate the grades of single-glioma cells. This CCC device can be potentially further applied to the extensive family of brain tumors at the single-cell level.
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Affiliation(s)
- Xin Geng
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Zi-Ang Zhou
- Department of Microelectronics, Tianjin University, Tianjin 300072, China
| | - Yang Mi
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Chunhong Wang
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Meng Wang
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Chenjia Guo
- Department of Pathology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Chongxiao Qu
- Department of Pathology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Shilun Feng
- Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Inyoung Kim
- Department of Statistics, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Miao Yu
- Department of Research and Development, Stedical Scientific, Carlsbad, California 92010, United States
| | - Hongming Ji
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
| | - Xiang Ren
- Department of Neurosurgery, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030012, China
- Department of Microelectronics, Tianjin University, Tianjin 300072, China
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6
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Nguyen DD, Lee S, Kim I. Recent Advances in Metaphotonic Biosensors. BIOSENSORS 2023; 13:631. [PMID: 37366996 DOI: 10.3390/bios13060631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/04/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023]
Abstract
Metaphotonic devices, which enable light manipulation at a subwavelength scale and enhance light-matter interactions, have been emerging as a critical pillar in biosensing. Researchers have been attracted to metaphotonic biosensors, as they solve the limitations of the existing bioanalytical techniques, including the sensitivity, selectivity, and detection limit. Here, we briefly introduce types of metasurfaces utilized in various metaphotonic biomolecular sensing domains such as refractometry, surface-enhanced fluorescence, vibrational spectroscopy, and chiral sensing. Further, we list the prevalent working mechanisms of those metaphotonic bio-detection schemes. Furthermore, we summarize the recent progress in chip integration for metaphotonic biosensing to enable innovative point-of-care devices in healthcare. Finally, we discuss the impediments in metaphotonic biosensing, such as its cost effectiveness and treatment for intricate biospecimens, and present a prospect for potential directions for materializing these device strategies, significantly influencing clinical diagnostics in health and safety.
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Affiliation(s)
- Dang Du Nguyen
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Seho Lee
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Inki Kim
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
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7
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Huang Y, Yuan B, Wang X, Dai Y, Wang D, Gong Z, Chen J, Shen L, Fan M, Li Z. Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network. WATER RESEARCH 2023; 232:119662. [PMID: 36738556 DOI: 10.1016/j.watres.2023.119662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/31/2022] [Accepted: 01/22/2023] [Indexed: 06/18/2023]
Abstract
The spectral fingerprint is a significant concept in nontarget screening of environmental samples to direct identification efforts to relevant and important features. Surface-enhanced Raman scattering (SERS) has long been recognized as an optical method that can provide fingerprint-like chemical information at the single-molecule level. Here, the advanced one-dimensional convolutional neural network (1D-CNN) approach was applied to accurately identify the SERS spectral signature of industrial wastewaters for source tracing. A total of 66,000 SERS spectra were acquired from wastewaters of 22 factories across 10 industrial categories at three excitation wavelengths after data augmentation. The dataset was used to train a 1D-CNN model consisting of three convolutional layers to achieve adequate feature extraction of SERS spectra. As a proof-of-concept, multimixed wastewater samples were used to simulate practical pollution scenarios and evaluate the application potential of the model. The SERS-1D-CNN platform can identify the amount and factory information of wastewaters in multimixed samples, which achieves a recognition accuracy rate of 97.33%. The results suggest that even in a complex and unknown water environment, the 1D-CNN model can accurately identify industrial wastewaters in precollected datasets, exhibiting excellent potential in pollution source tracing.
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Affiliation(s)
- Yuting Huang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Bingxue Yuan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Xueqing Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Yongsheng Dai
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Dongmei Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Zhengjun Gong
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Junmin Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Li Shen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
| | - Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
| | - Zhilin Li
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
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8
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Garg A, Nam W, Wang W, Vikesland P, Zhou W. In Situ Spatiotemporal SERS Measurements and Multivariate Analysis of Virally Infected Bacterial Biofilms Using Nanolaminated Plasmonic Crystals. ACS Sens 2023; 8:1132-1142. [PMID: 36893064 DOI: 10.1021/acssensors.2c02412] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
In situ spatiotemporal biochemical characterization of the activity of living multicellular biofilms under external stimuli remains a significant challenge. Surface-enhanced Raman spectroscopy (SERS), combining the molecular fingerprint specificity of vibrational spectroscopy with the hotspot sensitivity of plasmonic nanostructures, has emerged as a promising noninvasive bioanalysis technique for living systems. However, most SERS devices do not allow reliable long-term spatiotemporal SERS measurements of multicellular systems because of challenges in producing spatially uniform and mechanically stable SERS hotspot arrays to interface with large cellular networks. Furthermore, very few studies have been conducted for multivariable analysis of spatiotemporal SERS datasets to extract spatially and temporally correlated biological information from multicellular systems. Here, we demonstrate in situ label-free spatiotemporal SERS measurements and multivariate analysis of Pseudomonas syringae biofilms during development and upon infection by bacteriophage virus Phi6 by employing nanolaminate plasmonic crystal SERS devices to interface mechanically stable, uniform, and spatially dense hotspot arrays with the P. syringae biofilms. We exploited unsupervised multivariate machine learning methods, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), to resolve the spatiotemporal evolution and Phi6 dose-dependent changes of major Raman peaks originating from biochemical components in P. syringae biofilms, including cellular components, extracellular polymeric substances (EPS), metabolite molecules, and cell lysate-enriched extracellular media. We then employed supervised multivariate analysis using linear discriminant analysis (LDA) for the multiclass classification of Phi6 dose-dependent biofilm responses, demonstrating the potential for viral infection diagnosis. We envision extending the in situ spatiotemporal SERS method to monitor dynamic, heterogeneous interactions between viruses and bacterial networks for applications such as phage-based anti-biofilm therapy development and continuous pathogenic virus detection.
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Affiliation(s)
- Aditya Garg
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Wonil Nam
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Department of Electronic Engineering, Pukyong National University, Busan 48513, Republic of Korea
| | - Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Peter Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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9
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Ge S, Chen G, Cao D, Lin H, Liu Z, Yu M, Wang S, Wang Z, Zhou M. Au/SiNCA-based SERS analysis coupled with machine learning for the early-stage diagnosis of cisplatin-induced liver injury. Anal Chim Acta 2023; 1254:341113. [PMID: 37005023 DOI: 10.1016/j.aca.2023.341113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/14/2023] [Accepted: 03/16/2023] [Indexed: 03/19/2023]
Abstract
Cisplatin has been widely applied in the clinical treatment of various cancers, whereas liver injury induced by its hepatotoxicity is still a severe issue. Reliable identification of early-stage cisplatin-induced liver injury (CILI) can improve clinical care and help to streamline drug development. Traditional methods, however, cannot achieve enough information at the subcellular level due to the requirement of the labeling process and low sensitivity. To overcome these, we designed an Au-coated Si nanocone array (Au/SiNCA) to fabricate the microporous chip as the surface-enhanced Raman scattering (SERS) analysis platform for the early diagnosis of CILI. A CILI rat model was established, and the exosome spectra were obtained. The principal component analysis (PCA)-representation coefficient-based k-nearest centroid neighbor (RCKNCN) classification algorithm was proposed as the multivariate analysis method to build the diagnosis and staging model. The PCA-RCKNCN model has been validated to achieve a satisfactory result, with accuracy and AUC of over 97.5%, and sensitivity and specificity of over 95%, indicating that SERS combined with the PCA-RCKNCN analysis platform can be a promising tool for clinical applications.
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10
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Zhang S, Chen S, Zhu R. Electroporation-Assisted Surface-Enhanced Raman Detection for Long-Term, Label-Free, and Noninvasive Molecular Profiling of Live Single Cells. ACS Sens 2023; 8:555-564. [PMID: 36399395 DOI: 10.1021/acssensors.2c01582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Molecule characterization of live single cells is greatly important in disease diagnoses and personalized treatments. Conventional molecule detection methods, such as mass spectrography, gene sequencing, or immunofluorescence, are usually destructive or labeled and unable to monitor the dynamic change of live cellular molecules. Herein, we propose an electroporation-assisted surface-enhanced Raman scattering (EP-SERS) method using a microchip to implement label-free, noninvasive, and continuous detections of the molecules of live single cells. The microchip containing microelectrodes with nanostructured EP-SERS probes has a multifunction of cell positioning, electroporation, and SERS detection. The EP-SERS method capably detects both the intracellular and extracellular molecules of live single cells without losing cell viability so as to enable long-term monitoring of the molecular pathological process in situ. We detect the molecules of single cells for two breast cancer cell lines with different malignancies (MCF-7 and MDA-MB-231), one liver cancer cell line (Huh-7), and one normal cell line (293T) using the EP-SERS method and classify these cell types to achieve high accuracies of 91.4-98.3% using their SERS spectra. Furthermore, 24 h continuous monitoring of the heterogeneous molecular responses of different cancer cell lines under doxorubicin treatment is successfully implemented using the EP-SERS method. This work provides a long-term, label-free, and biocompatible approach to simultaneously detect intracellular and extracellular molecules of live single cells on a chip, which would facilitate research and applications of cancer diagnoses and personalized treatments.
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Affiliation(s)
- Shengsen Zhang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing100084, China
| | - Shengjie Chen
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing100084, China
| | - Rong Zhu
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing100084, China
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11
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Chen Y, An Q, Teng K, Liu C, Sun F, Li G. Application of SERS in In-Vitro Biomedical Detection. Chem Asian J 2023; 18:e202201194. [PMID: 36581747 DOI: 10.1002/asia.202201194] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
Surface-enhanced Raman scattering (SERS), as a rapid and nondestructive biological detection method, holds great promise for clinical on spot and early diagnosis. In order to address the challenging demands of on spot detection of biomedical samples, a variety of strategies has been developed. These strategies include substrate structural and component engineering, data processing techniques, as well as combination with other analytical methods. This report summarizes the recent SERS developments for biomedical detection, and their promising applications in cancer detection, virus or bacterial infection detection, miscarriage spotting, neurological disease screening et al. The first part discusses the frequently used SERS substrate component and structures, the second part reports on the detection strategies for nucleic acids, proteins, bacteria, and virus, the third part summarizes their promising applications in clinical detection in a variety of illnesses, and the forth part reports on recent development of SERS in combination with other analytical techniques. The special merits, challenges, and perspectives are discussed in both introduction and conclusion sections.
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Affiliation(s)
- Yunfan Chen
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Qi An
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Kaixuan Teng
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Chao Liu
- School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.,Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China.,Engineering Research Center of Ministry of Education for, Geological Carbon Storage and Low Carbon Utilization of Resources, Beijing Key Laboratory of Materials Utilization of, Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Material Sciences and Technology, China University of Geosciences, Beijing, 100083, P. R. China
| | - Fuwei Sun
- Fujian Provincial Key Laboratory of, Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, P. R. China
| | - Guangtao Li
- Department of Chemistry, China, Tsinghua University, Beijing, 100084, P. R. China
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12
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Mo W, Ke Q, Zhou M, Xie G, Huang J, Gao F, Ni S, Yang X, Qi D, Wang A, Wen J, Yang Y, Jing M, Du K, Wang X, Du X, Zhao Z. Combined Morphological and Spectroscopic Diagnostic of HER2 Expression in Breast Cancer Tissues Based on Label-Free Surface-Enhanced Raman Scattering. Anal Chem 2023; 95:3019-3027. [PMID: 36706440 DOI: 10.1021/acs.analchem.2c05067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Breast cancer is the most commonly diagnosed cancer type worldwide. Overexpression of human epidermal growth factor receptor 2 (HER2) is an important subtype of breast cancer and results in an increased risk of recurrence and metastasis in patients. At present, immunohistochemistry (IHC) is used to detect the expression of HER2 in breast cancer tissues as the golden standard. However, IHC has some shortcomings, such as large subjective impact, long time consumption, expensive reagents, etc. In this paper, a combined morphological and spectroscopic diagnostic method based on label-free surface-enhanced Raman scattering (SERS) for HER2 expression in breast cancer is proposed. It can not only quantitively detect HER2 expression in breast cancer tissues by spectroscopic measurements but also give morphological images reflecting the distribution of HER2 in tissues. The results show that the consistency between this method and IHC is 95% and achieves the annotation of tumor regions on tissue sections. This method is time-consuming, quantifiable, intuitive, scalable, and easy to understand. Combined with deep learning approaches, it is expected to promote the development of clinical detection and diagnosis technology for breast cancer and other cancers.
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Affiliation(s)
- Wenbo Mo
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China.,Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Qi Ke
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Minjie Zhou
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Gang Xie
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jinglin Huang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Feng Gao
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Shuang Ni
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xiyue Yang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Daojian Qi
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Anqun Wang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jiaxing Wen
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Yue Yang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Meng Jing
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Kai Du
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xuewu Wang
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Xiaobo Du
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Zongqing Zhao
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
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13
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Yuan K, Jurado-Sánchez B, Escarpa A. Nanomaterials meet surface-enhanced Raman scattering towards enhanced clinical diagnosis: a review. J Nanobiotechnology 2022; 20:537. [PMID: 36544151 PMCID: PMC9771791 DOI: 10.1186/s12951-022-01711-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022] Open
Abstract
Surface-enhanced Raman scattering (SERS) is a very promising tool for the direct detection of biomarkers for the diagnosis of i.e., cancer and pathogens. Yet, current SERS strategies are hampered by non-specific interactions with co-existing substances in the biological matrices and the difficulties of obtaining molecular fingerprint information from the complex vibrational spectrum. Raman signal enhancement is necessary, along with convenient surface modification and machine-based learning to address the former issues. This review aims to describe recent advances and prospects in SERS-based approaches for cancer and pathogens diagnosis. First, direct SERS strategies for key biomarker sensing, including the use of substrates such as plasmonic, semiconductor structures, and 3D order nanostructures for signal enhancement will be discussed. Secondly, we will illustrate recent advances for indirect diagnosis using active nanomaterials, Raman reporters, and specific capture elements as SERS tags. Thirdly, critical challenges for translating the potential of the SERS sensing techniques into clinical applications via machine learning and portable instrumentation will be described. The unique nature and integrated sensing capabilities of SERS provide great promise for early cancer diagnosis or fast pathogens detection, reducing sanitary costs but most importantly allowing disease prevention and decreasing mortality rates.
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Affiliation(s)
- Kaisong Yuan
- Bio-Analytical Laboratory, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, China
- Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering, University of Alcala, Alcala de Henares, 28802, Madrid, Spain
| | - Beatriz Jurado-Sánchez
- Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering, University of Alcala, Alcala de Henares, 28802, Madrid, Spain
- Chemical Research Institute "Andrés M. del Río", University of Alcala, Alcala de Henares, 28802, Madrid, Spain
| | - Alberto Escarpa
- Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering, University of Alcala, Alcala de Henares, 28802, Madrid, Spain
- Chemical Research Institute "Andrés M. del Río", University of Alcala, Alcala de Henares, 28802, Madrid, Spain
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14
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Hossain MK. Silver-Decorated Silicon Nanostructures: Fabrication and Characterization of Nanoscale Terraces as an Efficient SERS-Active Substrate. Int J Mol Sci 2022; 24:ijms24010106. [PMID: 36613545 PMCID: PMC9820282 DOI: 10.3390/ijms24010106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Rich and highly dense surface-enhanced Raman (SERS) hotspots available in the SERS-active platform are highly anticipated in SERS measurements. In this work, conventional silicon wafer was treated to have wide exposure to terraces available within the silicon nanostructures (Si-NSs). High-resolution field emission scanning electron microscopic (FESEM) investigations confirmed that the terraces were several microns wide and spread over different steps. These terraces were further decorated with silver nanoparticles (Ag-NPs) of different shapes and sizes to achieve SERS-active hotspots. Based on more than 150 events, a histogram of the size distribution of Ag-NPs indicated a relatively narrow size distribution, 29.64 ± 4.66 nm. The coverage density was estimated to be ~4 × 1010 cm-2. The SERS-activity of Ag-NPs -decorated Si-NSs was found to be enhanced with reference to those obtained in pristine Si-NSs. Finite difference time domain models were developed to support experimental observations in view of electromagnetic (EM) near-field distributions. Three archetype models; (i) dimer of same constituent Ag-NPs, (ii) dimer of different constituent Ag-NPs, and (iii) linear trimer of different constituent Ag-NPs were developed. EM near-field distributions were extracted at different incident polarizations. Si-NSs are well-known to facilitate light confinement, and such confinement can be cascaded within different Ag-NPs-decorated terraces of Si-NSs.
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Affiliation(s)
- Mohammad Kamal Hossain
- Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), Research Institute, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia
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15
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Yang H, Li J, Rao Y, Yang L, Xue Y, Zhang Y, Yang Z, Li J. Ultrasensitive multiplex SERS immunoassay based on porous Au-Ag alloy nanoparticle-amplified Raman signal probe and encoded photonic crystal beads. Mikrochim Acta 2022; 190:13. [PMID: 36478275 DOI: 10.1007/s00604-022-05539-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/07/2022] [Indexed: 12/12/2022]
Abstract
An ultrasensitive multiplex surface-enhanced Raman scattering (SERS) immunoassay was developed using porous Au-Ag alloy nanoparticles (p-AuAg NPs) as Raman signal amplification probe coupling with encoded photonic crystal microsphere. p-AuAg NPs were synthesized and modified with the second antibody (Ab2) and Raman tag (mercaptobenzoic acid, MBA) to prepare a Raman signal-amplified probe. The high porosity of the p-AuAg NPs enables significant coupling of the localized surface plasmon resonance and thus abundant inherent hotspots for Raman signal enhancement. 3D-ordered silver nanoparticles-coated silica photonic crystal beads (Ag/SPCBs) were prepared as encoded SERS substrate for multiplex detection using their reflection peaks. The signal-amplified probe was used for multiplex detection of tumor markers carcinoembryonic antigen (CEA) and alpha fetoprotein (AFP). The wide linear ranges of 10-7-103 ng/mL for CEA and 10-4-103 ng/mL for AFP with detection limits of 1.22 × 10-8 ng/mL and 2.47 × 10-5 ng/mL for CEA and AFP at a signal-to-noise ratio of 3 were obtained. The proposed multiplex SERS immunoassay method displays ultrahigh sensitivity, wide linear range, and excellent specificity, which can be successfully applied to measure clinical serum samples with satisfactory results. The research provides a novel SERS signal enhancement strategy for the multiplex bioassay.
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Affiliation(s)
- Huizhen Yang
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China
| | - Jiayin Li
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China
| | - Yan Rao
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China
| | - Linan Yang
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China
| | - Yadong Xue
- Jinhua Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yu Zhang
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China
| | - Zhanjun Yang
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China.
| | - Juan Li
- College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, People's Republic of China.
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16
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Xie X, Gao N, Huang Y, Fang Y. SERS Monitored Kinetic Process of Gaseous Thiophenol Compound in Plasmonic MOF Nanoparticles. ACS APPLIED MATERIALS & INTERFACES 2022; 14:51468-51475. [PMID: 36321296 DOI: 10.1021/acsami.2c13820] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Benefiting from the electromagnetic enhancement of noble metal nanoparticles (NPs) and the capture ability of organic frameworks, plasmonic metal-organic framework (MOF) structures have greatly promoted the development of gas detection by surface-enhanced Raman spectroscopy (SERS). In those detections, the kinetic process of gaseous molecules in plasmonic-MOF structures has a great influence on SERS spectra, which is still lacking intensive investigation in previous reports. In this work, the kinetic processes of gaseous thiophenol compounds (TPC) in the plasmonic Zeolitic Imidazolate Framework (Ag@ZIF) core-shell NPs are studied by SERS spectra. The experimental data demonstrate that the SERS intensities of gaseous TPC could be enhanced once more in an H2 mixed gas environment with different functional groups of TPC. Further results reveal that the two-step enhancement of SERS intensities is not only related to the thicknesses of the MOF shell but also affected by the ambient mixed gas. To understand this novel phenomenon, the binding energy between the gaseous molecule and ZIF is calculated based on first-principles computation. In combination with the plasmonic properties of the Ag core, a molecular collision model is introduced here to show the distribution of gaseous TPC molecules in ZIF, which could be responsible for this interesting two-step enhancement of SERS intensities. Furthermore, the H2 assisted kinetic process of gaseous p-aminothiophenol (PATP) is also analyzed by the classical pseudo-first-order kinetic model, which is consistent with our experimental SERS data. Our work not only reveals the novel phenomenon of plasmonic-MOF structures to improve the gas detection by SERS spectra but also enriches the understanding of the microcosmic process of gaseous molecules in the mixed gas environment to optimize MOF structures for gas capture and storage.
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Affiliation(s)
- Xin Xie
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing400044, China
| | - Nan Gao
- Key Laboratory of Materials Modification by Laser, Electron, and Ion Beams (Ministry of Education); School of Physics, Dalian University of Technology, Dalian116024, China
| | - Yingzhou Huang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing400044, China
- Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing400044, China
| | - Yurui Fang
- Key Laboratory of Materials Modification by Laser, Electron, and Ion Beams (Ministry of Education); School of Physics, Dalian University of Technology, Dalian116024, China
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17
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Constantinou M, Hadjigeorgiou K, Abalde-Cela S, Andreou C. Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis. ACS APPLIED NANO MATERIALS 2022; 5:12276-12299. [PMID: 36210923 PMCID: PMC9534173 DOI: 10.1021/acsanm.2c02392] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 05/03/2023]
Abstract
Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.
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Affiliation(s)
- Marios Constantinou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Katerina Hadjigeorgiou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Sara Abalde-Cela
- International
Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, Braga 4715-330, Portugal
| | - Chrysafis Andreou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
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18
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Xie Y, Wen Y, Su X, Zheng C, Li M. Label-Free Plasmon-Enhanced Spectroscopic HER2 Detection for Dynamic Therapeutic Surveillance of Breast Cancer. Anal Chem 2022; 94:12762-12771. [PMID: 36069700 DOI: 10.1021/acs.analchem.2c02419] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The expression of human epidermal growth factor receptor-2 (HER2) has important implications for pathogenesis, progression, and therapeutic efficacy of breast cancer. The detection of its variation during the treatment is crucial for therapeutic decision-making but remains a grand challenge, especially at the cellular level. Here, we develop a machine learning-driven surface-enhanced Raman spectroscopy (SERS)-integrated strategy for label-free detection of cellular HER2. Specifically, our method allows the extraction of cell-rich spectral signatures utilized for identification and classification of cancer cells with distinct HER2 expression with a high accuracy of 99.6%. By combining label-free SERS detection and machine learning-driven chemometric analysis, we are able to perform longitudinal monitoring of therapeutic efficacy at the cellular level during the treatment of HER2+ breast cancer, which aids in the subsequent decision-making and management. This work provides a promising technique capable of performing dynamic label-free spectroscopic detection for therapeutic surveillance of diseases.
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Affiliation(s)
- Yangcenzi Xie
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
| | - Yu Wen
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
| | - Xiaoming Su
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China.,College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, Hunan, China
| | - Chao Zheng
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, Shandong, China
| | - Ming Li
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
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19
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Garg A, Mejia E, Nam W, Nie M, Wang W, Vikesland P, Zhou W. Microporous Multiresonant Plasmonic Meshes by Hierarchical Micro-Nanoimprinting for Bio-Interfaced SERS Imaging and Nonlinear Nano-Optics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2106887. [PMID: 35224852 DOI: 10.1002/smll.202106887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/30/2022] [Indexed: 06/14/2023]
Abstract
Microporous mesh plasmonic devices have the potential to combine the biocompatibility of microporous polymeric meshes with the capabilities of plasmonic nanostructures to enhance nanoscale light-matter interactions for bio-interfaced optical sensing and actuation. However, scalable integration of dense and uniformly structured plasmonic hotspot arrays with microporous polymeric meshes remains challenging due to the processing incompatibility of conventional nanofabrication methods with flexible microporous substrates. Here, scalable nanofabrication of microporous multiresonant plasmonic meshes (MMPMs) is achieved via a hierarchical micro-/nanoimprint lithography approach using dissolvable polymeric templates. It is demonstrated that MMPMs can serve as broadband nonlinear nanoplasmonic devices to generate second-harmonic generation, third-harmonic generation, and upconversion photoluminescence signals with multiresonant plasmonic enhancement under fs pulse excitation. Moreover, MMPMs are employed and explored as bio-interfaced surface-enhanced Raman spectroscopy mesh sensors to enable in situ spatiotemporal molecular profiling of bacterial biofilm activity. Microporous mesh plasmonic devices open exciting avenues for bio-interfaced optical sensing and actuation applications, such as inflammation-free epidermal sensors in conformal contact with skin, combined tissue-engineering and biosensing scaffolds for in vitro 3D cell culture models, and minimally invasive implantable probes for long-term disease diagnostics and therapeutics.
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Affiliation(s)
- Aditya Garg
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Elieser Mejia
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Wonil Nam
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Meitong Nie
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Peter Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
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20
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Chen Q, Hu J, Hu X, Koh K, Chen H. Current methods and emerging approaches for detection of programmed death ligand 1. Biosens Bioelectron 2022; 208:114179. [PMID: 35364526 DOI: 10.1016/j.bios.2022.114179] [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: 09/10/2021] [Revised: 02/21/2022] [Accepted: 03/08/2022] [Indexed: 02/08/2023]
Abstract
Various tumor cells overexpress programmed death ligand 1 (PD-L1), a main immune checkpoint protein (ICP) embedded in the tumor cells membrane, to evade immune recognition through the interaction between PD-L1 and its receptor programmed death 1 (PD-1) which is from T-cells for maintaining immune tolerance. So inhibitors targeting the PD-1 or PD-L1 can block the PD-1/PD-L1 signaling pathway to restore the recognition activity of the immune system to tumor cells, which also have been utilized as a novel approach to improve the clinical therapeutic effect for cancer patients. Since not all cancer patients can respond to these inhibitors effectively, previous diagnosis of PD-L1 is significant to target the right treatments for cancer patients. This review pays attention to the PD-L1 detection and recent progress in the measurement of PD-L1 concentration, including various detection methods based on optical sensors as well as electrochemical assays. Apart from above those, we also focus on the prospects of PD-L1 detection in precision medicine.
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Affiliation(s)
- Qiang Chen
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China; School of Medicine, Shanghai University, Shanghai, 200444, PR China
| | - Junjie Hu
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China
| | - Xiaojun Hu
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China
| | - Kwangnak Koh
- Institute of General Education, Pusan National University, Busan, 609-735, Republic of Korea
| | - Hongxia Chen
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China.
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21
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Yin H, Jin Z, Duan W, Han B, Han L, Li C. Emergence of Responsive Surface-Enhanced Raman Scattering Probes for Imaging Tumor-Associated Metabolites. Adv Healthc Mater 2022; 11:e2200030. [PMID: 35182455 DOI: 10.1002/adhm.202200030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/03/2022] [Indexed: 11/11/2022]
Abstract
As a core hallmark of cancer, metabolic reprogramming alters the metabolic networks of cancer cells to meet their insatiable appetite for energy and nutrient. Tumor-associated metabolites, the products of metabolic reprogramming, are valuable in evaluating tumor occurrence and progress timely and accurately because their concentration variations usually happen earlier than the aberrances demonstrated in tissue structure and function. As an optical spectroscopic technique, surface-enhanced Raman scattering (SERS) offers advantages in imaging tumor-associated metabolites, including ultrahigh sensitivity, high specificity, multiplexing capacity, and uncompromised signal intensity. This review first highlights recent advances in the development of stimuli-responsive SERS probes. Then the mechanisms leading to the responsive SERS signal triggered by tumor metabolites are summarized. Furthermore, biomedical applications of these responsive SERS probes, such as the image-guided tumor surgery and liquid biopsy examination for tumor molecular typing, are summarized. Finally, the challenges and prospects of the responsive SERS probes for clinical translation are also discussed.
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Affiliation(s)
- Hang Yin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Ziyi Jin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Wenjia Duan
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Bing Han
- Minhang Hospital Fudan University Xinsong Road 170 Shanghai 201100 China
| | - Limei Han
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Cong Li
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
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22
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Zhao Q, Yang H, Nie B, Luo Y, Shao J, Li G. Wafer-Scale and Cost-Effective Manufacturing of Controllable Nanogap Arrays for Highly Sensitive SERS Sensing. ACS APPLIED MATERIALS & INTERFACES 2022; 14:3580-3590. [PMID: 34983178 DOI: 10.1021/acsami.1c22465] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The metallic nanogap has been proved as an efficient architecture for surface-enhanced Raman scattering (SERS) applications. Although a lot of nanogap fabrication methods have been proposed in the last few decades, the economical and high-yield manufacturing of sub-10 nm gaps remains a challenge. Here, we present a convenient and cost-effective fabrication method for wafer-scale patterning of metallic nanogaps, which simply combines photolithographic metal patterning, swelling-induced nanocracking, and superimposition metal sputtering without requiring expensive nanofabrication equipment. By controlling the swelling time and metal deposition thickness, the gap size can be precisely defined, down to the sub-10 nm scale. Furthermore, we demonstrate that the fabricated nanogap array can be used as an excellent SERS substrate for molecule measurements and shows a high Raman enhancement factor of ∼108 and a high sensitivity for the detection of rhodamine 6G (R6G) molecules, even down to 10-14 M, indicating an extraordinary capability for single-molecule detection. Due to its high controllability and wafer-scale fabrication capability, this nanogap fabrication method offers a promising route for highly sensitive and economical SERS detections.
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Affiliation(s)
- Qiang Zhao
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Defense Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
- Micro-/Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Huan Yang
- Micro-/Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Bangbang Nie
- Micro-/Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Yongsong Luo
- Micro-/Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Jinyou Shao
- Micro-/Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Gang Li
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Defense Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
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23
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Brown ER, Moore SG, Gaul DA, Kubanek J. Differentiating toxic and nontoxic congeneric harmful algae using the non-polar metabolome. HARMFUL ALGAE 2021; 110:102129. [PMID: 34887009 DOI: 10.1016/j.hal.2021.102129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/22/2021] [Accepted: 11/01/2021] [Indexed: 06/13/2023]
Abstract
Recognition and rejection of chemically defended prey is critical to maximizing fitness for predators. Paralytic shellfish toxins (PSTs) which strongly inhibit voltage-gated sodium channels in diverse animal taxa are produced by several species of the bloom-forming algal genus Alexandrium where they appear to function as chemical defenses against grazing copepods. Despite PSTs being produced and localized within phytoplankton cells, some copepods distinguish toxic from non-toxic prey, selectively ingesting less toxic cells, in ways that suggest cell surface recognition perhaps associated with non-polar metabolites. In this study LC/MS and NMR-based metabolomics revealed that the non-polar metabolomes of two toxic species (Alexandrium catenella and Alexandrium pacificum) vary considerably from their non-toxic congener Alexandrium tamarense despite all three being very closely related. Toxic and non-toxic Alexandrium spp. were distinguished from each other by metabolites belonging to seven lipid classes. Of these, 17 specific metabolites were significantly more abundant in both toxic A. catenella and A. pacificum compared to non-toxic A. tamarense suggesting that just a small portion of the observed metabolic variability is associated with toxicity. Future experiments aimed at deciphering chemoreception mechanisms of copepod perception of Alexandrium toxicity should consider these metabolites, and the broader lipid classes phosphatidylcholines and sterols, as potential candidate cues.
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Affiliation(s)
- Emily R Brown
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA 30332, USA
| | - Sam G Moore
- School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Dr, Atlanta, GA 30332, USA
| | - David A Gaul
- School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Dr, Atlanta, GA 30332, USA
| | - Julia Kubanek
- School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Dr, Atlanta, GA 30332, USA; School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Dr, Atlanta, GA 30332, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Dr, Atlanta, GA 30332, USA; Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, GA 30332, USA.
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24
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Gomes MC, Chen J, Cunha A, Trindade T, Zheng G, Tomé JPC. Complex cellular environments imaged by SERS nanoprobes using sugars as an all-in-one vector. J Mater Chem B 2021; 9:9285-9294. [PMID: 34709285 DOI: 10.1039/d1tb01360b] [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
Raman spectroscopy coupled with confocal microscopy offers an alternative bioimaging technique overcoming limitations associated with sensitivity, tissue penetration and image resolution. Allied to the surface-enhanced Raman scattering (SERS) properties of gold nanoparticles (AuNP), we designed SERS nanoprobes with enhanced properties and straightforward application as bio-labelling agents for gliomas. The ensuing nanoprobes coated with simple sugar units (galactose or glucose) allowed assessing information about their intracellular localization (vesicular structures), with impressive sensitivity towards complex environments and proved the ability to overcome biological auto-fluorescence and high penetration in tissues. We validate the use of sugars as an all-in-one vector (Raman reporter, conferring high stability, biocompatibility and affinity to glioma cells) as imaging agents using an impressive technique.
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Affiliation(s)
- Maria C Gomes
- LAQV-REQUINTE and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.
| | - Juan Chen
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.
| | - Angela Cunha
- CESAM and Department of Biology, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Tito Trindade
- CICECO-Aveiro Institute of Materials and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Gang Zheng
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - João P C Tomé
- LAQV-REQUINTE and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,CQE and Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
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25
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26
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Nam W, Kim W, Zhou W, You EA. A digital SERS sensing platform using 3D nanolaminate plasmonic crystals coupled with Au nanoparticles for accurate quantitative detection of dopamine. NANOSCALE 2021; 13:17340-17349. [PMID: 34585195 DOI: 10.1039/d1nr03691b] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
We report a digital surface-enhanced Raman spectroscopy (SERS) sensing platform using the arrays of 3D nanolaminate plasmonic crystals (NLPC) coupled with Au nanoparticles and digital (on/off) SERS signal analysis for the accurate quantitative detection of dopamine (DA) at ultralow concentrations. 3D NLPC SERS substrates were fabricated to support the optically dense arrays of vertically-stacked multi-nanogap hotspots and combined with Raman tag-conjugated Au nanoparticles for NLPC-based dual-recognition structures. We demonstrate that the 3D NLPC-based dual-recognition structures including Au nanoparticle-induced additional hotspots can enable more effective SERS enhancement through the molecular recognition of DA. For the accurate quantification of DA at ultralow concentrations, we conducted digital SERS analysis to reduce stochastic signal variation due to various microscopic effects, including molecular orientation/position variation and the spatial distribution of nanoparticle-coupled hotspots. The digital SERS analysis allowed the SERS mapping results from the DA-specific dual-recognition structures to be converted into binary "On/Off" states; the number of "On" events was directly correlated with low-abundance DA molecules down to 1 pM. Therefore, the digital SERS platform using the 3D NLPC-based dual-recognition structures coupled with Au nanoparticles and digital SERS signal analysis can be used not only for the ultrasensitive, accurate, and quantitative determination of DA, but also for the practical and rapid analysis of various molecules on nanostructured surfaces.
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Affiliation(s)
- Wonil Nam
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA.
| | - Wansun Kim
- Nanobiosensor Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea.
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA.
| | - Eun-Ah You
- Nanobiosensor Team, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea.
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27
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Han Z, Yi J, Yang Y, Li D, Peng C, Long S, Peng X, Shen Y, Liu B, Qiao L. SERS and MALDI-TOF MS based plasma exosome profiling for rapid detection of osteosarcoma. Analyst 2021; 146:6496-6505. [PMID: 34569564 DOI: 10.1039/d1an01163d] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Osteosarcoma is the most frequent primary bone cancer, particularly among children and adolescents. The early diagnosis of osteosarcoma is significant for timely clinical treatment to reduce the mortality of patients. Exosomes play a significant role in intercellular communication and serve as promising biomarkers in liquid biopsy for the diagnosis and monitoring of tumors. Herein, we report the utility of surface-enhanced Raman scattering (SERS) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for rapid identification of osteosarcoma. We firstly profiled the intrinsic SERS signals and MALDI-TOF mass fingerprints of different subgroups of extracellular vesicles (EVs) and the corresponding cells, demonstrating that the SERS signals and MALDI-TOF mass spectra of exosomes from different types of cells were more discriminative compared to those of large and medium EVs and the cells themselves. Then, we characterized plasma-derived exosomes of 15 osteosarcoma patients and 15 healthy volunteers using SERS and MALDI-TOF MS, revealing distinctive biochemical differences in the spectra. We further utilized a data fusion approach to combine the two types of spectroscopic techniques, differentiating osteosarcoma patients from healthy controls with higher precision than either technique. The results reveal that the non-invasive liquid biopsy method using SERS and MALDI-TOF MS fingerprinting of exosomes has great potential for rapid diagnosis of osteosarcoma.
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Affiliation(s)
- Zhenzhen Han
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Jia Yi
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Yi Yang
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Dandan Li
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Cheng Peng
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200000, China
| | - Shuping Long
- Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
| | - Xinyan Peng
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Yuhui Shen
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200000, China
| | - Baohong Liu
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
| | - Liang Qiao
- Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.
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28
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Lin T, Song YL, Kuang P, Chen S, Mao Z, Zeng TT. Nanostructure-based surface-enhanced Raman scattering for diagnosis of cancer. Nanomedicine (Lond) 2021; 16:2389-2406. [PMID: 34530631 DOI: 10.2217/nnm-2021-0298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Cancer is a malignant disease that seriously affects human health and life. Early diagnosis and timely treatment can significantly improve the survival rate of cancer patients. Surface-enhanced Raman scattering (SERS) is an optical technology that can detect and image samples at the single-molecule level. It has the advantages of rapidity, high specificity, high sensitivity and no damage to the sample. The performance of SERS is highly dependent on the properties, size and morphology of the SERS substrate. Preparation of SERS substrates with good reproducibility and chemical stability is a key factor in realizing the wide application of SERS technology in cancer diagnosis. In this review we provide a detailed presentation of the latest research on SERS in cancer diagnosis and the detection of cancer biomarkers, mainly focusing on nanotechnological approaches in cancer diagnosis by using SERS. We also consider the future development of nanostructure-based SERS in cancer diagnosis.
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Affiliation(s)
- Ting Lin
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ya-Li Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Pu Kuang
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Si Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhigang Mao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting-Ting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
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29
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Tahir MA, Dina NE, Cheng H, Valev VK, Zhang L. Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis. NANOSCALE 2021; 13:11593-11634. [PMID: 34231627 DOI: 10.1039/d1nr00708d] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
In recent years, bioanalytical surface-enhanced Raman spectroscopy (SERS) has blossomed into a fast-growing research area. Owing to its high sensitivity and outstanding multiplexing ability, SERS is an effective analytical technique that has excellent potential in bioanalysis and diagnosis, as demonstrated by its increasing applications in vivo. SERS allows the rapid detection of molecular species based on direct and indirect strategies. Because it benefits from the tunable surface properties of nanostructures, it finds a broad range of applications with clinical relevance, such as biological sensing, drug delivery and live cell imaging assays. Of particular interest are early-stage-cancer detection and the fast detection of pathogens. Here, we present a comprehensive survey of SERS-based assays, from basic considerations to bioanalytical applications. Our main focus is on SERS-based pathogen detection methods as point-of-care solutions for early bacterial infection detection and chronic disease diagnosis. Additionally, various promising in vivo applications of SERS are surveyed. Furthermore, we provide a brief outlook of recent endeavours and we discuss future prospects and limitations for SERS, as a reliable approach for rapid and sensitive bioanalysis and diagnosis.
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Affiliation(s)
- Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, Peoples' Republic of China.
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30
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Zhang D, Zhang X, Ma R, Deng S, Wang X, Wang X, Zhang X, Huang X, Liu Y, Li G, Qu J, Zhu Y, Li J. Ultra-fast and onsite interrogation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in waters via surface enhanced Raman scattering (SERS). WATER RESEARCH 2021; 200:117243. [PMID: 34029872 PMCID: PMC8116665 DOI: 10.1016/j.watres.2021.117243] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/26/2021] [Accepted: 05/08/2021] [Indexed: 05/18/2023]
Abstract
The outbreak of coronavirus infectious disease-2019 (COVID-19) pneumonia challenges the rapid interrogation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in human and environmental samples. In this study, we developed an assay using surface enhanced Raman scattering (SERS) coupled with multivariate analysis to detect SARS-CoV-2 in an ultra-fast manner without any pretreatment (e.g., RNA extraction). Using silver-nanorod SERS array functionalized with cellular receptor angiotensin-converting enzyme 2 (ACE2), we obtained strong SERS signals of ACE2 at 1032, 1051, 1089, 1189, 1447 and 1527 cm-1. The recognition and binding of receptor binding domain (RBD) of SARS-CoV-2 spike protein on SERS assay significantly quenched the spectral intensities of most peaks and exhibited a shift from 1189 to 1182 cm-1. On-site tests on 23 water samples with a portable Raman spectrometer proved its accuracy and easy-operation for spot detection of SARS-CoV-2 to evaluate disinfection performance, explore viral survival in environmental media, assess viral decay in wastewater treatment plant and track SARS-CoV-2 in pipe network. Our findings raise a state-of-the-art spectroscopic tool to screen and interrogate viruses with RBD for human cell entry, proving its feasibility and potential as an ultra-fast detection tool for wastewater-based epidemiology.
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Affiliation(s)
- Dayi Zhang
- School of Environment, Tsinghua University, Beijing 100084, P.R. China.
| | - Xiaoling Zhang
- Suzhou Yiqing Environmental Science and Technology LTD., Suzhou 215163, P.R. China
| | - Rui Ma
- Suzhou Yiqing Environmental Science and Technology LTD., Suzhou 215163, P.R. China; Research Institute for Environmental Innovation (Tsinghua-Suzhou), Suzhou 215163, P.R. China
| | - Songqiang Deng
- Suzhou Yiqing Environmental Science and Technology LTD., Suzhou 215163, P.R. China; Research Institute for Environmental Innovation (Tsinghua-Suzhou), Suzhou 215163, P.R. China
| | - Xinzi Wang
- School of Environment, Tsinghua University, Beijing 100084, P.R. China
| | - Xinquan Wang
- School of Life Science, Tsinghua University, Beijing 100084, P.R. China
| | - Xian Zhang
- School of Environment, Tsinghua University, Beijing 100084, P.R. China
| | - Xia Huang
- School of Environment, Tsinghua University, Beijing 100084, P.R. China
| | - Yi Liu
- School of Environment, Tsinghua University, Beijing 100084, P.R. China
| | - Guanghe Li
- School of Environment, Tsinghua University, Beijing 100084, P.R. China
| | - Jiuhui Qu
- School of Environment, Tsinghua University, Beijing 100084, P.R. China; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P.R. China
| | - Yu Zhu
- Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, 398 Ruoshui Road, Suzhou Industrial Park, Suzhou 215123, P.R. China
| | - Junyi Li
- Suzhou Yiqing Environmental Science and Technology LTD., Suzhou 215163, P.R. China.
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31
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Wang W, Kang S, Vikesland PJ. Surface-Enhanced Raman Spectroscopy of Bacterial Metabolites for Bacterial Growth Monitoring and Diagnosis of Viral Infection. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:9119-9128. [PMID: 34133126 DOI: 10.1021/acs.est.1c02552] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Bacterial metabolites are intermediate products of bacterial metabolism and their production reflects metabolic activity. Herein, we report the use of surface-enhanced Raman spectroscopy (SERS) for detection of both volatile and nonvolatile metabolites and the application of this approach for bacterial growth quantification and diagnosis of viral infection. The time-dependent SERS signal of the volatile metabolite dimethyl disulfide in the headspace above bacteria growing on an agar plate was detected and quantified. In addition, SERS signals arising from the plate reflected nutrient consumption and production of nonvolatile metabolites. The measurement of metabolite accumulation can be used for bacterial quantification. In the presence of bacteriophage virus, bacterial metabolism is suppressed, and the relative decrease in SERS intensity reflects the initial virus concentration. Using multivariate analysis, we detect viral infection with a prediction accuracy of 93%. Our SERS-based approach for metabolite production monitoring provides new insights toward viral infection diagnosis.
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Affiliation(s)
- Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Seju Kang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia Tech Institute of Critical Technology and Applied Science (ICTAS) Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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32
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Lee S, Kim J, Baek K, Kim NH, Hyun JK, Park SJ, Lee H. Concurrent Imaging of Surface-Enhanced Raman and Mie Scattering from Built-in Nanogap Plasmonic Particles. J Phys Chem Lett 2021; 12:5889-5896. [PMID: 34143636 DOI: 10.1021/acs.jpclett.1c01524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
We report a bimodal imaging method that can spatially resolve and concurrently correlate SERS and background-free Mie scattering signals. By examining two types of nanoparticle assemblies with different types of plasmonic junctions, namely raspberry-like metamolecules (raspberry-MMs) containing intraparticle nanogaps and groups of Au nanocubes forming interparticle gaps, we were able to rapidly screen SERS-active particles among the entire population of nanoparticles. Ratiometric analysis of SERS/Mie scattering revealed distinct behaviors for these intra- and interparticle nanogaps. In particular, raspberry-MMs showed a high fraction of SERS-active particles with the SERS intensity essentially insensitive to the nanoparticle aggregation state and a predictable environmental dependence. In comparison, nanocube clusters exhibited highly heterogeneous SERS/Mie scattering ratios and unpredictable intensity fluctuations but higher maximum SERS intensity. This dual-imaging approach constitutes an in situ visualization tool that enables simultaneous and stoichiometric analysis of dual signals consisting of elastic and inelastic scattering, which can significantly improve the reliability of SERS measurements.
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Affiliation(s)
- Sunghee Lee
- Department of Chemistry and Nanoscience, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
| | - Jungwoo Kim
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Korea
- Center for National R&D Budget Strategy, Korea Institute of Science & Technology Evaluation and Planning (KISTEP), 1339 Wonjung-ro, Eumseong-gun, Chungcheongbuk-do 27740, Korea
| | - Kyungnae Baek
- Department of Chemistry and Nanoscience, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
| | - Nam Hoon Kim
- Center for Convergent research of Emerging Virus Infection, Korea Research Institute of Chemical Technology (KRICT), 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Korea
| | - Jerome K Hyun
- Department of Chemistry and Nanoscience, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
| | - So-Jung Park
- Department of Chemistry and Nanoscience, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
| | - Haemi Lee
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Korea
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33
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Fan X, Zhang H, Zhao X, Lv K, Zhu T, Xia Y, Yang C, Bai C. Three-dimensional SERS sensor based on the sandwiched G@AgNPs@G/PDMS film. Talanta 2021; 233:122481. [PMID: 34215109 DOI: 10.1016/j.talanta.2021.122481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 11/28/2022]
Abstract
Three-dimensional (3D) SERS substrate with the denser "hotspots" is synthesized by the constriction of PDMS film decorated with sandwiched graphene@AgNPs@graphene (G@AgNPs@G) nanostructure. Graphene layers above and below the AgNPs are used to absorb molecules onto the "hotspots", and prevent the oxidation of AgNPs in our design. PDMS films can be easily shrunk for 3D structures, causing advantages in enhancement ability and light-matter interaction. Benefiting from the above advantages, a detection limit of 10-14 M (CV) and enhancement factor (EF) of 3.9 × 109 were obtained in our experiment. Theoretical analyses (FDTD) were also used to study the enhancement mechanism. For practical purposes, in-situ detection of MG molecules on the fish surface and the label-free detection of DNA base of adenine (A) and cytosine (C) were also studied. The high enhancement factor, great sensitivity, reliability, and stability of substrate reasonably proved that it can be used as an excellent SERS substrate for biomolecular detection.
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Affiliation(s)
- Xiangyu Fan
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Hao Zhang
- Beijing Key Laboratory for Nano-Photonics and Nano-Structure (NPNS) Center for Condensed Matter Physics Department of Physics, Capital Normal University, Beijing, 100048, China
| | - XinRu Zhao
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Ke Lv
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Tiying Zhu
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Yaping Xia
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China
| | - Cheng Yang
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.
| | - Chengjie Bai
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.
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Nam W, Ren X, Kim I, Strobl J, Agah M, Zhou W. Plasmonically Calibrated Label-Free Surface-Enhanced Raman Spectroscopy for Improved Multivariate Analysis of Living Cells in Cancer Subtyping and Drug Testing. Anal Chem 2021; 93:4601-4610. [DOI: 10.1021/acs.analchem.0c05206] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Wonil Nam
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Xiang Ren
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Inyoung Kim
- Department of Statistics, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Jeannine Strobl
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Masoud Agah
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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35
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Liu M, Wang F, Zhang X, Mao X, Wang L, Tian Y, Fan C, Li Q. Tracking endocytosis and intracellular distribution of spherical nucleic acids with correlative single-cell imaging. Nat Protoc 2020; 16:383-404. [PMID: 33288954 DOI: 10.1038/s41596-020-00420-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 09/22/2020] [Indexed: 11/09/2022]
Abstract
A comprehensive understanding of interactions between nanoparticles (NPs) and biological components is critical to the clinical application of NPs and nanomedicine. Here we provide a step-by-step correlative imaging approach to investigate plasmonic NPs of different aggregation states at the single-cell level. Traceable spherical nucleic acids (SNAs) are fabricated by decorating 50-nm spherical gold NPs with fluorophore-labeled DNA, serving as dually emissive (fluorescent and plasmonic) NPs. The in situ correlative imaging with dark-field microscopy (DFM) and fluorescence microscopy (FM) reveals intracellular distribution of SNAs, whereas DFM combined with scanning electron microscopy (SEM) allows semi-quantification of SNA clustering states in solution. The imaging data are analyzed by ImageJ and a colorimetry-based algorithm written in Python. The clustering states of SNAs in a single cell can be efficiently distinguished within 20 s. This method can be readily installed to monitor real-time endocytosis and cellular distribution of plasmonic NPs of different aggregation states and to quantitatively image targets of interest (e.g., specific DNA, messenger RNA, peptides or proteins) in living cells. The entire procedure can be completed in 3-5 d and requires standard DFM, FM and SEM imaging and data analysis skills and equipment.
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Affiliation(s)
- Mengmeng Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
| | - Fei Wang
- Joint Research Center for Precision Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China.,School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xueli Zhang
- Joint Research Center for Precision Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Southern Medical University Affiliated Fengxian Hospital, Shanghai, China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lihua Wang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China.,Bioimaging Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Yang Tian
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.,Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
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36
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Geng ZQ, Zheng JJ, Li YP, Chen Y, Wang P, Han CQ, Yang GH, Qu LL. A disposable paper-based hydrophobic substrate for highly sensitive surface-enhanced Raman scattering detection. Talanta 2020; 220:121340. [PMID: 32928387 DOI: 10.1016/j.talanta.2020.121340] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 12/18/2022]
Abstract
Detection of target analytes with high sensitivity and reproducibility remains a challenge for surface-enhanced Raman scattering (SERS) due to the lack of cost-effective and highly sensitive substrates. In this study, a hydrophobic SERS substrate capable of concentrating nanoparticles and analytes was prepared by spin-coating lubricating liquid onto commercial paper. The condensation effect of the paper-based hydrophobic substrate induced aggregation of gold nanoparticles (Au NPs) to generate ''hot spots'' for SERS and to drive analytes to the hot-spot areas for more sensitive detection. The obtained SERS signal intensity was 5-fold higher than that obtained using common paper, and a detection limit (LOD) of 4.3 × 10-10 M for rhodamine 6G (R6G) was achieved. Randomly selected points on the substrate and different batches of substrates all exhibited high reproducibility, and the relative standard deviation (RSD) at 1362 cm-1 is approximately 11%. A further application of the hydrophobic substrate was demonstrated by the detection of cytochrome C within a linear detection range of 3.90 × 10-8 M-1.25 × 10-6 M. In addition, the prepared substrate can obtain identifiable SERS spectra of cancer cells and non-cancer cells because a large number of AuNP or Au NPs clusters can adhere to cells, resulting in the construction of a 3D hotspot matrix. The disposable hydrophobic paper substrate eliminates the problem of solution diffusion, and also provides an effective platform for biomolecular screening detection.
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Affiliation(s)
- Zhi-Qin Geng
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Jia-Jia Zheng
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Yun-Peng Li
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Yang Chen
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Po Wang
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Cai-Qin Han
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
| | - Guo-Hai Yang
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
| | - Lu-Lu Qu
- School of Chemistry & Materials Science, Jiangsu Normal University, Xuzhou, 221116, China.
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37
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Nam W, Zhao Y, Song J, Tali SAS, Kang S, Zhu W, Lezec HJ, Agrawal A, Vikesland PJ, Zhou W. Plasmonic Electronic Raman Scattering as Internal Standard for Spatial and Temporal Calibration in Quantitative Surface-Enhanced Raman Spectroscopy. J Phys Chem Lett 2020; 11:9543-9551. [PMID: 33115232 PMCID: PMC8141369 DOI: 10.1021/acs.jpclett.0c03056] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Ultrasensitive surface-enhanced Raman spectroscopy (SERS) still faces difficulties in quantitative analysis because of its susceptibility to local optical field variations at plasmonic hotspots in metallo-dielectric nanostructures. Current SERS calibration approaches using Raman tags have inherent limitations due to spatial occupation competition with analyte molecules, spectral interference with analyte Raman peaks, and photodegradation. Herein, we report that plasmon-enhanced electronic Raman scattering (ERS) signals from metal can serve as an internal standard for spatial and temporal calibration of molecular Raman scattering (MRS) signals from analyte molecules at the same hotspots, enabling rigorous quantitative SERS analysis. We observe a linear dependence between ERS and MRS signal intensities upon spatial and temporal variations of excitation optical fields, manifesting the |E|4 enhancements for both ERS and MRS processes at the same hotspots in agreement with our theoretical prediction. Furthermore, we find that the ERS calibration's performance limit can result from orientation variations of analyte molecules at hotspots.
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Affiliation(s)
- Wonil Nam
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - Yuming Zhao
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - Junyeob Song
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
| | - Seied Ali Safiabadi Tali
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - Seju Kang
- Department of Civil and Environmental Engineering, Institute of Critical Technology and Applied Science Sustainable Nanotechnology Center, Virginia Tech, Blacksburg, Virginia, 24061, USA
| | - Wenqi Zhu
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
| | - Henri J. Lezec
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
| | - Amit Agrawal
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
- Institute for Research in Electronics and Applied Physics and Maryland NanoCenter, University of Maryland, College Park, Maryland 20742, USA
| | - Peter J. Vikesland
- Department of Civil and Environmental Engineering, Institute of Critical Technology and Applied Science Sustainable Nanotechnology Center, Virginia Tech, Blacksburg, Virginia, 24061, USA
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA
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38
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Lu X, Ren W, Hu C, Liu C, Li Z. Plasmon-Enhanced Surface-Enhanced Raman Scattering Mapping Concentrated on a Single Bead for Ultrasensitive and Multiplexed Immunoassay. Anal Chem 2020; 92:12387-12393. [DOI: 10.1021/acs.analchem.0c02125] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Xiaohui Lu
- Key Laboratory of Applied Surface and Colloid Chemistry,
Ministry of Education, Key Laboratory of Analytical Chemistry for
Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710119, Shaanxi Province, People’s Republic of China
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry,
Ministry of Education, Key Laboratory of Analytical Chemistry for
Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710119, Shaanxi Province, People’s Republic of China
| | - Chen Hu
- Key Laboratory of Applied Surface and Colloid Chemistry,
Ministry of Education, Key Laboratory of Analytical Chemistry for
Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710119, Shaanxi Province, People’s Republic of China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry,
Ministry of Education, Key Laboratory of Analytical Chemistry for
Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710119, Shaanxi Province, People’s Republic of China
| | - Zhengping Li
- Key Laboratory of Applied Surface and Colloid Chemistry,
Ministry of Education, Key Laboratory of Analytical Chemistry for
Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an 710119, Shaanxi Province, People’s Republic of China
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39
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Daniel MG, Song J, Ali Safiabadi Tali S, Dai X, Zhou W. Sub-10 nm Nanolaminated Al 2O 3/HfO 2 Coatings for Long-Term Stability of Cu Plasmonic Nanodisks in Physiological Environments. ACS APPLIED MATERIALS & INTERFACES 2020; 12:31952-31961. [PMID: 32544317 DOI: 10.1021/acsami.0c06941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
By supporting localized plasmon modes, metal-based plasmonic nanostructures can confine optical fields at deep-subwavelength scale in various applications, such as biological and chemical sensing, nanoscale light emission, and solar energy harvesting. While Cu is a low-cost complementary metal oxide semiconductor (CMOS) compatible material, its poor chemical stability limits the use of Cu plasmonic nanodevices in corrosive biochemical aqueous environments. In this paper, we demonstrate that sub-10 nm Al2O3/HfO2 nanolaminated coatings can significantly extend the lifetime of Cu nanodisk arrays from ∼5 h to ∼180 days in the physiological environment of 1× phosphate-buffered saline (PBS) at 37 °C. Cu nanodisk arrays are fabricated using freestanding Au nanohole array films as the physical vapor deposition masks and sub-10 nm nanolaminated coatings composed of alternating Al2O3 and HfO2 nanolayers are grown on Cu nanodisk arrays by atomic layer deposition (ALD). Time-dependent optical extinction measurements of Cu nanodisk arrays are conducted in 1× solutions at 37 °C to investigate the anticorrosion performance for different pure and nanolaminated ALD coatings. We observe a linear relationship between the lifetime of Cu nanodisk arrays in 1× PBS at 37 °C and the nanolaminated coating thickness, and ∼1.3 nm nanolaminated coatings of ∼10 ALD cycles can extend the lifetime of Cu plasmonics up to ∼20 days. Furthermore, we find that the anticorrosion performance of Al2O3/HfO2 nanolaminated ALD coatings strongly depends on the processing and the geometric parameters, such as the annealing temperature and the nanolaminated backbone unit size.
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Affiliation(s)
| | - Junyeob Song
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Seied Ali Safiabadi Tali
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Xiaochuan Dai
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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40
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Han Y, Wu SR, Tian XD, Zhang Y. Optimizing the SERS Performance of 3D Substrates through Tunable 3D Plasmonic Coupling toward Label-Free Liver Cancer Cell Classification. ACS APPLIED MATERIALS & INTERFACES 2020; 12:28965-28974. [PMID: 32380829 DOI: 10.1021/acsami.0c04509] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Three-dimensional (3D) plasmonic nanostructures are emerging as excellent surface-enhanced Raman spectroscopy (SERS) substrates for chemical and biomedical applications. However, the correlation of 3D (including both in-plane and out-of-plane) plasmonic coupling with the SERS properties to deepen the understanding of 3D SERS substrates remains a challenge. Here, we perform correlation studies of 3D plasmonic coupling and SERS properties of the 3D hierarchical SERS substrates by tuning the multiscale structural elements. The effects of zero-dimensional (0D; the size of the building blocks), one-dimensional (1D; the thickness of the 3D substrates), and two-dimensional (2D; the composition of individual monolayers) structural elements on 3D plasmonic coupling are studied by performing UV-vis-near-infrared (NIR) spectroscopy and measuring SERS performance. It shows that both the extinction spectra and SERS enhancement are tuned at the 3D structural level. It is demonstrated that the plasmonic resonance wavelength (PRW) stemming from the 3D plasmonic coupling correlates with the SERS averaged surface enhancement factor (ASEF) and is improved by more than tenfold at the optimum 3D nanostructure. The optimized substrate is used to quantitatively analyze two small biological molecules. Moreover, as a proof-of-concept study, the substrate is first applied to differentiate between living liver normal and cancer cells with a high prediction accuracy through the spectral features of the cell membranes and the metabolites secreted outside the cells. We expect that the tuning of plasmonic coupling at the 3D level can open up new routes to design high-performance SERS substrates for wide applications.
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Affiliation(s)
- Yu Han
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China
- Xiamen Institute of Rare-Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
| | - Si-Rong Wu
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China
- Xiamen Institute of Rare-Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
| | - Xiang-Dong Tian
- Xiamen Cardiovascular Hospital, Xiamen University, Xiamen 361005, China
| | - Yun Zhang
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China
- Xiamen Institute of Rare-Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
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41
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Ren X, Nam W, Ghassemi P, Strobl JS, Kim I, Zhou W, Agah M. Scalable nanolaminated SERS multiwell cell culture assay. MICROSYSTEMS & NANOENGINEERING 2020; 6:47. [PMID: 34567659 PMCID: PMC8433130 DOI: 10.1038/s41378-020-0145-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 11/10/2019] [Accepted: 12/30/2019] [Indexed: 05/23/2023]
Abstract
This paper presents a new cell culture platform enabling label-free surface-enhanced Raman spectroscopy (SERS) analysis of biological samples. The platform integrates a multilayered metal-insulator-metal nanolaminated SERS substrate and polydimethylsiloxane (PDMS) multiwells for the simultaneous analysis of cultured cells. Multiple cell lines, including breast normal and cancer cells and prostate cancer cells, were used to validate the applicability of this unique platform. The cell lines were cultured in different wells. The Raman spectra of over 100 cells from each cell line were collected and analyzed after 12 h of introducing the cells to the assay. The unique Raman spectra of each cell line yielded biomarkers for identifying cancerous and normal cells. A kernel-based machine learning algorithm was used to extract the high-dimensional variables from the Raman spectra. Specifically, the nonnegative garrote on a kernel machine classifier is a hybrid approach with a mixed nonparametric model that considers the nonlinear relationships between the higher-dimension variables. The breast cancer cell lines and normal breast epithelial cells were distinguished with an accuracy close to 90%. The prediction rate between breast cancer cells and prostate cancer cells reached 94%. Four blind test groups were used to evaluate the prediction power of the SERS spectra. The peak intensities at the selected Raman shifts of the testing groups were selected and compared with the training groups used in the machine learning algorithm. The blind testing groups were correctly predicted 100% of the time, demonstrating the applicability of the multiwell SERS array for analyzing cell populations for cancer research.
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Affiliation(s)
- Xiang Ren
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
| | - Wonil Nam
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
| | - Parham Ghassemi
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
| | - Jeannine S. Strobl
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
| | - Inyoung Kim
- Department of Statistics, Virginia Tech, Blacksburg, VA 24061 USA
| | - Wei Zhou
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
| | - Masoud Agah
- Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
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