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Gu Y, Wu S, Luo Z, Lin LL, Ye J. Oppositely-charged silver nanoparticles enable selective SERS molecular enhancement through electrostatic interactions. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 322:124852. [PMID: 39053115 DOI: 10.1016/j.saa.2024.124852] [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: 04/06/2024] [Revised: 06/27/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
Label-free surface-enhanced Raman spectroscopy (SERS) has attracted extensive attention as an emerging technique for molecular phenotyping of biological samples. However, the selective enhancement property of SERS mediated by complicated interactions between substrates and analytes is unfavorable for molecular profiling. The electrostatic force is among the most dominating interactions that can cause selective adsorption of molecules to charged substrates. This means if only negatively- or positively-charged SERS substrates are applied, then considerable SERS information from a portion of analytes would be lost, hindering comprehensive SERS sensing. In this work, we utilize both negatively- and positively-charged colloidal silver (Ag) nanoparticles (NPs) to detect various charged molecules. The negatively-charged citrate-stabilized Ag and the positively-charged Ag prepared via a cetyltrimethyl-ammonium chloride-based charge reversal protocol have been adopted as SERS substrates. The Ag NPs are all relatively well-dispersed with good uniformity. After applying the oppositely-charged NPs to the detection of charged molecules, we find the SERS results explicitly demonstrate the electrostatically-driven SERS selective enhancement, which is further supported and clarified by molecular electrostatic potential calculations. Our work highlights the importance of developing SERS substrates modified with appropriate surface charges for various analytes, and enlightens us that potentially more molecular SERS information can be acquired from complex bio-samples using combinations of oppositely-charged substrates.
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Affiliation(s)
- Yuqing Gu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Siyi Wu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Zhewen Luo
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Linley Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China.
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, PR China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
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2
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Boudries R, Williams H, Paquereau-Gaboreau S, Bashir S, Hojjat Jodaylami M, Chisanga M, Trudeau LÉ, Masson JF. Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience. ACS NANO 2024; 18:22620-22647. [PMID: 39088751 DOI: 10.1021/acsnano.4c05200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the causes of brain disorders. This review explores the potential applications of surface-enhanced Raman scattering (SERS) nanosensors in neurosciences, where their adoption could lead to significant progress in the field. These applications encompass detecting neurotransmitters or brain disorders biomarkers in biofluids with SERS nanosensors, and imaging normal and pathological brain tissues with SERS labeling. Specific studies highlighting in vitro, ex vivo, and in vivo analysis of brain disorders using fit-for-purpose SERS nanosensors will be detailed, with an emphasis on the ability of SERS to detect clinically pertinent levels of neurochemicals. Recent advancements in designing SERS-active nanomaterials, improving experimentation in biofluids, and increasing the usage of machine learning for interpreting SERS spectra will also be discussed. Furthermore, we will address the tagging of tissues presenting pathologies with nanoparticles for SERS imaging, a burgeoning domain of neuroscience that has been demonstrated to be effective in guiding tumor removal during brain surgery. The review also explores future research applications for SERS nanosensors in neuroscience, including monitoring neurochemistry in vivo with greater penetration using surface-enhanced spatially offset Raman scattering (SESORS), near-infrared lasers, and 2-photon techniques. The article concludes by discussing the potential of SERS for investigating the effectiveness of therapies for brain disorders and for integrating conventional neurochemistry techniques with SERS sensing.
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Affiliation(s)
- Ryma Boudries
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Hannah Williams
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Soraya Paquereau-Gaboreau
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Saba Bashir
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Maryam Hojjat Jodaylami
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Malama Chisanga
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Louis-Éric Trudeau
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Jean-Francois Masson
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
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3
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Liu Z, Ng M, Srivastava S, Li T, Liu J, Phu TA, Mateescu B, Wang YT, Tsai CF, Liu T, Raffai RL, Xie YH. Label-free single-vesicle based surface enhanced Raman spectroscopy: A robust approach for investigating the biomolecular composition of small extracellular vesicles. PLoS One 2024; 19:e0305418. [PMID: 38889139 PMCID: PMC11185487 DOI: 10.1371/journal.pone.0305418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
Small extracellular vesicles (sEVs) are cell-released vesicles ranging from 30-150nm in size. They have garnered increasing attention because of their potential for both the diagnosis and treatment of disease. The diversity of sEVs derives from their biological composition and cargo content. Currently, the isolation of sEV subpopulations is primarily based on bio-physical and affinity-based approaches. Since a standardized definition for sEV subpopulations is yet to be fully established, it is important to further investigate the correlation between the biomolecular composition of sEVs and their physical properties. In this study, we employed a platform combining single-vesicle surface-enhanced Raman spectroscopy (SERS) and machine learning to examine individual sEVs isolated by size-exclusion chromatography (SEC). The biomolecular composition of each vesicle examined was reflected by its corresponding SERS spectral features (biomolecular "fingerprints"), with their roots in the composition of their collective Raman-active bonds. Origins of the SERS spectral features were validated through a comparative analysis between SERS and mass spectrometry (MS). SERS fingerprinting of individual vesicles was effective in overcoming the challenges posed by EV population averaging, allowing for the possibility of analyzing the variations in biomolecular composition between the vesicles of similar and/or different sizes. Using this approach, we uncovered that each of the size-based fractions of sEVs contained particles with predominantly similar SERS spectral features. Indeed, more than 84% of the vesicles residing within a particular group were clearly distinguishable from that of the other EV sub-populations, despite some spectral variations within each sub-population. Our results suggest the possibility that size-based EV fractionation methods produce samples where similarly eluted sEVs are correlated with their respective biochemical contents, as reflected by their SERS spectra. Our findings therefore highlight the possibility that the biogenesis and respective biological functionalities of the various sEV fractions may be inherently different.
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Affiliation(s)
- Zirui Liu
- Department of Materials Science and Engineering, University of California Los Angeles, Los Angeles, California, United States of America
| | - Martin Ng
- Northern California Institute for Research and Education, San Francisco, California, United States of America
| | - Siddharth Srivastava
- Department of Materials Science and Engineering, University of California Los Angeles, Los Angeles, California, United States of America
| | - Tieyi Li
- Department of Materials Science and Engineering, University of California Los Angeles, Los Angeles, California, United States of America
| | - Jun Liu
- Department of Materials Science and Engineering, University of California Los Angeles, Los Angeles, California, United States of America
| | - Tuan Anh Phu
- Northern California Institute for Research and Education, San Francisco, California, United States of America
| | - Bogdan Mateescu
- Brain Research Institute, University of Zürich, Zürich, Switzerland
- Institute for Chemical and Bioengineering, ETH Zürich, Zürich, Switzerland
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Robert L. Raffai
- Division of Vascular and Endovascular Surgery, Department of Surgery, University of California San Francisco, San Francisco, California, United States of America
- Department of Veterans Affairs, Surgical Service (112G), San Francisco VA Medical Center, San Francisco, California, United States of America
| | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California Los Angeles, Los Angeles, California, United States of America
- UCLA Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California, United States of America
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Troncoso-Afonso L, Vinnacombe-Willson GA, García-Astrain C, Liz-Márzan LM. SERS in 3D cell models: a powerful tool in cancer research. Chem Soc Rev 2024; 53:5118-5148. [PMID: 38607302 PMCID: PMC11104264 DOI: 10.1039/d3cs01049j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Indexed: 04/13/2024]
Abstract
Unraveling the cellular and molecular mechanisms underlying tumoral processes is fundamental for the diagnosis and treatment of cancer. In this regard, three-dimensional (3D) cancer cell models more realistically mimic tumors compared to conventional 2D cell cultures and are more attractive for performing such studies. Nonetheless, the analysis of such architectures is challenging because most available techniques are destructive, resulting in the loss of biochemical information. On the contrary, surface-enhanced Raman spectroscopy (SERS) is a non-invasive analytical tool that can record the structural fingerprint of molecules present in complex biological environments. The implementation of SERS in 3D cancer models can be leveraged to track therapeutics, the production of cancer-related metabolites, different signaling and communication pathways, and to image the different cellular components and structural features. In this review, we highlight recent progress in the use of SERS for the evaluation of cancer diagnosis and therapy in 3D tumoral models. We outline strategies for the delivery and design of SERS tags and shed light on the possibilities this technique offers for studying different cellular processes, through either biosensing or bioimaging modalities. Finally, we address current challenges and future directions, such as overcoming the limitations of SERS and the need for the development of user-friendly and robust data analysis methods. Continued development of SERS 3D bioimaging and biosensing systems, techniques, and analytical strategies, can provide significant contributions for early disease detection, novel cancer therapies, and the realization of patient-tailored medicine.
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Affiliation(s)
- Lara Troncoso-Afonso
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Department of Applied Chemistry, University of the Basque Country, 20018 Donostia-San Sebastián, Gipuzkoa, Spain
| | - Gail A Vinnacombe-Willson
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
| | - Clara García-Astrain
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
| | - Luis M Liz-Márzan
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
- Ikerbasque Basque Foundation for Science, 48013 Bilbao, Spain
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Pathak NK, Sahoo P, Tripathy U. Nonlinear study of indolamines: A hidden property that might have possible implications in neurodegeneration. Talanta 2024; 272:125808. [PMID: 38373364 DOI: 10.1016/j.talanta.2024.125808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/21/2024]
Abstract
Indolamines (e.g., serotonin and melatonin) are tryptophan-derived class of neurotransmitters and neuromodulators that play crucial roles in mood regulation, sleep-wake cycles, and gastrointestinal functions. These biogenic amines exert their effects by binding to specific receptors in the central nervous system, influencing neuronal activity and signalling cascades. Indolamines are vital in maintaining homeostasis, and imbalances in their levels have been implicated in various neurological and psychiatric disorders. Hence, in the present study, we have investigated the nonlinear properties of indolamines under a continuous wave (CW) and pulsed laser excitation using the closed-aperture (CA) Z-scan technique. The CA Z-scan is a cost-effective and sensitive analytical tool for investigating nonlinear properties. It is observed that indolamines show negative refractive and positive absorptive nonlinearity under in vitro physiological conditions. The origin of nonlinearity is ascribed to the thermo-optical effect governed by the saturated atomic absorption and molecular orientation mechanisms under CW and pulsed laser excitation, respectively. The strength of nonlinearity is found to vary linearly with the concentration of indolamines. Overall, serotonin possesses stronger nonlinearity than melatonin. The maximum nonlinearity (refractive index (n2) & absorption coefficient (β)) for melatonin under CW and pulsed laser excitations are (-1.266 × 10-12 m2W-1 and -1.883 × 10-17 m2W-1) & (8.046 × 10-8 mW-1 and 1.516 × 10-13 mW-1), respectively. Meanwhile, the maximum n2 and β under pulsed laser excitation for serotonin are obtained as -3.195 × 10-17 m2W-1 and 6.149 × 10-12 mW-1, respectively. The outcome of the results may be utilized in understanding processes mediated by indolamines and designing therapeutic interventions.
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Affiliation(s)
- Nitesh Kumar Pathak
- Department of Physics, Indian Institute of Technology (Indian School of Mines) Dhanbad, 826004, Jharkhand, India
| | - Priyadarshi Sahoo
- Department of Physics, Indian Institute of Technology (Indian School of Mines) Dhanbad, 826004, Jharkhand, India
| | - Umakanta Tripathy
- Department of Physics, Indian Institute of Technology (Indian School of Mines) Dhanbad, 826004, Jharkhand, India.
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Srivastava S, Sandhu N, Liu J, Xie YH. AI-Driven Spectral Decomposition: Predicting the Most Probable Protein Compositions from Surface Enhanced Raman Spectroscopy Spectra of Amino Acids. Bioengineering (Basel) 2024; 11:482. [PMID: 38790349 PMCID: PMC11117800 DOI: 10.3390/bioengineering11050482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 05/05/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for elucidating the molecular makeup of materials. It possesses the unique characteristics of single-molecule sensitivity and extremely high specificity. However, the true potential of SERS, particularly in capturing the biochemical content of particles, remains underexplored. In this study, we harnessed transformer neural networks to interpret SERS spectra, aiming to discern the amino acid profiles within proteins. By training the network on the SERS profiles of 20 amino acids of human proteins, we explore the feasibility of predicting the predominant proteins within the µL-scale detection volume of SERS. Our results highlight a consistent alignment between the model's predictions and the protein's known amino acid compositions, deepening our understanding of the inherent information contained within SERS spectra. For instance, the model achieved low root mean square error (RMSE) scores and minimal deviation in the prediction of amino acid compositions for proteins such as Bovine Serum Albumin (BSA), ACE2 protein, and CD63 antigen. This novel methodology offers a robust avenue not only for protein analytics but also sets a precedent for the broader realm of spectral analyses across diverse material categories. It represents a solid step forward to establishing SERS-based proteomics.
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Affiliation(s)
| | | | | | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA; (S.S.); (N.S.); (J.L.)
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Zhang X, Cai X, Yin N, Wang Y, Jiao Y, Liu C. Transferable G/Au Film for Constructing a Variety of SERS Substrates. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:566. [PMID: 38607101 PMCID: PMC11013602 DOI: 10.3390/nano14070566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/07/2024] [Accepted: 03/14/2024] [Indexed: 04/13/2024]
Abstract
Surface-enhanced Raman scattering (SERS), as one of the most powerful analytical methods, undertakes important inspection tasks in various fields. Generally, the performance of an SERS-active substrate relies heavily on its structure, which makes it difficult to integrate multiple-functional detectability on the same substrate. To address this problem, here we designed and constructed a film of graphene/Au nanoparticles (G/Au film) through a simple method, which can be conveniently transferred to different substrates to form various composite SERS substrates subsequently. By means of the combination of the electromagnetic enhancement mechanism (EM) and the chemical enhancement mechanism (CM) of this structure, the film realized good SERS performance experimentally, with the enhancement factor (EF) approaching ca. 1.40 × 105. In addition, the G/Au film had high mechanical strength and had large specific surface area and good biocompatibility that is beneficial for Raman detection. By further transferring the film to an Ag/Si composite substrate and PDMS flexible film, it showed enhanced sensitivity and in situ detectability, respectively, indicating high compatibility and promising prospect in Raman detection.
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Affiliation(s)
- Xinyu Zhang
- School of Physics and Electronic Engineering, Qilu Normal University, Jinan 250200, China
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Xin Cai
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Naiqiang Yin
- School of Physics and Electronic Engineering, Qilu Normal University, Jinan 250200, China
| | - Yingying Wang
- School of Physics and Electronic Engineering, Qilu Normal University, Jinan 250200, China
| | - Yang Jiao
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Chundong Liu
- School of Physics and Electronic Engineering, Qilu Normal University, Jinan 250200, China
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
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Zheng X, Ye Z, Akmal Z, He C, Zhang J, Wang L. Recent progress in SERS monitoring of photocatalytic reactions. Chem Soc Rev 2024; 53:656-683. [PMID: 38165865 DOI: 10.1039/d3cs00462g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a powerful analytical technique renowned for its ultra-high sensitivity. Extensive research in SERS has led to the development of a wide range of SERS substrates, including plasmonic metals, semiconductors, metal organic frameworks, and their assemblies. Some of these materials are also excellent photocatalysts, and by taking advantage of their bifunctional characteristics, the photocatalytic processes that occur on their surface can be monitored in situ via SERS. This provides us with unique opportunities to gain valuable insights into the intricate details of the photocatalytic processes that are challenging to access using other techniques. In this review, we highlight key development in in situ and/or real-time SERS-tracking of photocatalytic reactions. We begin by providing a brief account of recent developments in SERS substrates, followed by discussions on how SERS can be used to elucidate crucial aspects of photocatalytic processes, including: (1) the influence of the surrounding media on charge carrier extraction; (2) the direction of charge carrier transfer; (3) the pathway of photocatalytic activation; and (4) differentiation between the effects of photo-thermal and energetic electrons. Additionally, we discuss the benefits of tip-enhanced Raman spectroscopy (TERS) due to the ability to achieve high-spatial-resolution measurements. Finally, we address major challenges and propose potential directions for the future of SERS monitoring of photocatalytic reactions. By leveraging the capabilities of SERS, we can uncover new insights into photocatalytic processes, paving the way for advancements in sustainable energy and environmental remediation.
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Affiliation(s)
- Xinlu Zheng
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
| | - Ziwei Ye
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
| | - Zeeshan Akmal
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
| | - Chun He
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
| | - Jinlong Zhang
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
| | - Lingzhi Wang
- Shanghai Engineering Research Center for Multi-Media Environmental Catalysis and Resource Utilization, Key Lab for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science &Technology, 130 Meilong Road, Shanghai, 200237, China.
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9
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Park JO, Choi Y, Ahn HM, Lee CK, Chun H, Park YM, Kim KB. Aggregation of Ag nanoparticle based on surface acoustic wave for surface-enhanced Raman spectroscopy detection of dopamine. Anal Chim Acta 2024; 1285:342036. [PMID: 38057052 DOI: 10.1016/j.aca.2023.342036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/13/2023] [Accepted: 11/15/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Dopamine (DA), a vital neurotransmitter, plays a critical role in the human brain and relates to neuropsychiatric disorders such as Parkinson's disease and schizophrenia. Numerous studies have explored detection of such biomarkers through surface-enhanced Raman spectroscopy (SERS). However, most of the studies focused on SERS detection face significant challenges with plasmonic nanostructure development. Such challenges often include time-consuming processes, complex fabrication, specialized chemical labeling, poor reproducibility, and random hotspot generation. Therefore, the need for simple and rapid nanostructure development is evident in SERS. RESULTS We propose an innovative SERS-active sensing technique for 50 nm silver nanoparticle (AgNP) clustering based on surface acoustic wave (SAW). When a 1 μL droplet of AgNP colloid is dispensed onto the SAW-propagation zone, the AgNP cluster is deposited after the droplet completely evaporates, developing plasmonic nanogaps for SERS hotspot caused by spherical AgNP aggregation. By optimizing the SAW system through the hydrophobic treatment and modulation of the operational power, the SAW-induced AgNP clustering showed densely packed AgNP within a dot-like configuration (∼2200 AgNP μm-2), effectively preventing particle welding. The characterization of 4-mercaptobenzoic acid as a probe analyte revealed that concentrations as low as 1.14 pM was detected using our SAW-SERS system under 785 nm laser excitation. Moreover, DA was detected up to 4.28 nM with a determination of 0.99 (R2). SIGNIFICANCE This technique for AgNP clustering induced by SAW provides a rapid, in situ, label-free SERS sensing method with outstanding sensitivity and linearity. A mere act of dropping can create extensive plasmonic hotspots featuring nanogap of ∼1.5 nm. The SAW-induced AgNP clustering can serve as an ultrasensitive SERS-active substrate for diverse molecular detections, including neurotransmitter detection.
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Affiliation(s)
- Jin Oh Park
- Digital Health Care R&D Department, Korea Institute of Industrial Technology (KITECH), 89, Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan, 31056, Republic of Korea; Department of Biomedical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Yongheum Choi
- Heat and Surface Technology R&D Department, Korea Institute of Industrial Technology (KITECH), 156, Gaetbeol-ro, Yeonsu-gu, Incheon, 21999, Republic of Korea
| | - Hyeong Min Ahn
- Digital Health Care R&D Department, Korea Institute of Industrial Technology (KITECH), 89, Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan, 31056, Republic of Korea; Department of Biomedical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Chang Ki Lee
- Digital Health Care R&D Department, Korea Institute of Industrial Technology (KITECH), 89, Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan, 31056, Republic of Korea
| | - Honggu Chun
- Department of Biomedical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Young Min Park
- Heat and Surface Technology R&D Department, Korea Institute of Industrial Technology (KITECH), 156, Gaetbeol-ro, Yeonsu-gu, Incheon, 21999, Republic of Korea.
| | - Kwang Bok Kim
- Digital Health Care R&D Department, Korea Institute of Industrial Technology (KITECH), 89, Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan, 31056, Republic of Korea.
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10
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Srivastava S, Terai Y, Liu J, Capellini G, Xie YH. Controlling the Nucleation and Growth of Salt from Bodily Fluid for Enhanced Biosensing Applications. BIOSENSORS 2023; 13:1016. [PMID: 38131777 PMCID: PMC10741434 DOI: 10.3390/bios13121016] [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: 11/16/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) represents a transformative tool in medical diagnostics, particularly for the early detection of key biomarkers such as small extracellular vesicles (sEVs). Its unparalleled sensitivity and compatibility with intricate biological samples make it an ideal candidate for revolutionizing noninvasive diagnostic methods. However, a significant challenge that mars its efficacy is the throughput limitation, primarily anchored in the prerequisite of hotspot and sEV colocalization within a minuscule range. This paper delves deep into this issue, introducing a never-attempted-before approach which harnesses the principles of crystallization-nucleation and growth. By synergistically coupling lasers with plasmonic resonances, we navigate the challenges associated with the analyte droplet drying method and the notorious coffee ring effect. Our method, rooted in a profound understanding of crystallization's materials science, exhibits the potential to significantly increase the areal density of accessible plasmonic hotspots and efficiently guide exosomes to defined regions. In doing so, we not only overcome the throughput challenge but also promise a paradigm shift in the arena of minimally invasive biosensing, ushering in advanced diagnostic capabilities for life-threatening diseases.
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Affiliation(s)
- Siddharth Srivastava
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
| | - Yusuke Terai
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
- Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan
| | - Jun Liu
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
| | - Giovanni Capellini
- IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt (Oder), Germany;
- Department of Science, Università Degli Studi Roma Tre, Viale Marconi 446, 00146 Rome, Italy
| | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA 90095, USA
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11
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Jing WJ, Li FF, Liu Y, Ma RN, Zhang W, Shang L, Li XJ, Xue QW, Wang HS, Jia LP. An electrochemical ratiometric biosensor for the detection of dopamine based on an MXene-Au nanocomposite. Chem Commun (Camb) 2023; 59:12911-12914. [PMID: 37823254 DOI: 10.1039/d3cc03661h] [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: 10/13/2023]
Abstract
Compared with single signal detection, a ratiometric biosensor could offer more accurate and reliable results. Here, a ratiometric electrochemical biosensor for the sensitive and accurate detection of dopamine was developed based on the strong adsorption ability of MXene-Au toward methylene blue, an inner reference element. This ratiometric sensing strategy opened up a new avenue for the development of a ratiometric platform.
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Affiliation(s)
- Wen-Jie Jing
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Fei-Fei Li
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Yu Liu
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Rong-Na Ma
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Wei Zhang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Lei Shang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Xiao-Jian Li
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Qing-Wang Xue
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Huai-Sheng Wang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
| | - Li-Ping Jia
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, China.
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12
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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13
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Colniță A, Toma VA, Brezeștean IA, Tahir MA, Dina NE. A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases. BIOSENSORS 2023; 13:bios13050499. [PMID: 37232860 DOI: 10.3390/bios13050499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/15/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) applications in clinical diagnosis and spectral pathology are increasing due to the potential of the technique to bio-barcode incipient and differential diseases via real-time monitoring of biomarkers in fluids and in real-time via biomolecular fingerprinting. Additionally, the rapid advancements in micro/nanotechnology have a visible influence in all aspects of science and life. The miniaturization and enhanced properties of materials at the micro/nanoscale transcended the confines of the laboratory and are revolutionizing domains such as electronics, optics, medicine, and environmental science. The societal and technological impact of SERS biosensing by using semiconductor-based nanostructured smart substrates will be huge once minor technical pitfalls are solved. Herein, challenges in clinical routine testing are addressed in order to understand the context of how SERS can perform in real, in vivo sampling and bioassays for early neurodegenerative disease (ND) diagnosis. The main interest in translating SERS into clinical practice is reinforced by the practical advantages: portability of the designed setups, versatility in using nanomaterials of various matter and costs, readiness, and reliability. As we will present in this review, in the frame of technology readiness levels (TRL), the current maturity reached by semiconductor-based SERS biosensors, in particular that of zinc oxide (ZnO)-based hybrid SERS substrates, is situated at the development level TRL 6 (out of 9 levels). Three-dimensional, multilayered SERS substrates that provide additional plasmonic hot spots in the z-axis are of key importance in designing highly performant SERS biosensors for the detection of ND biomarkers.
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Affiliation(s)
- Alia Colniță
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Vlad-Alexandru Toma
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
- Department of Molecular Biology and Biotechnology, Faculty of Biology and Geology, Babeș-Bolyai University, 5-7 Clinicilor, 400006 Cluj-Napoca, Romania
- Institute of Biological Research, Department of Biochemistry and Experimental Biology, 48 Republicii, Branch of NIRDBS Bucharest, 400015 Cluj-Napoca, Romania
| | - Ioana Andreea Brezeștean
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Nicoleta Elena Dina
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
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14
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Jonak ST, Liu Z, Liu J, Li T, D'Souza BV, Schiaffino JA, Oh S, Xie YH. Analyzing bronchoalveolar fluid derived small extracellular vesicles using single-vesicle SERS for non-small cell lung cancer detection. SENSORS & DIAGNOSTICS 2023; 2:90-99. [PMID: 36741247 PMCID: PMC9850358 DOI: 10.1039/d2sd00109h] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/24/2022] [Indexed: 11/07/2022]
Abstract
An emerging body of research by biologists and clinicians has demonstrated the clinical application of small extracellular vesicles (sEVs, also commonly referred to as exosomes) as biomarkers for cancer detections. sEVs isolated from various body fluids such as blood, saliva, urine, and cerebrospinal fluid have been used for biomarker discoveries with highly encouraging outcomes. Among the biomarkers discovered are those responsible for multiple cancer types and immune responses. These biomarkers are recapitulated from the tumor microenvironments. Yet, despite numerous discussions of sEVs in scientific literature, sEV-based biomarkers have so far played only a minor role for cancer diagnostics in the clinical setting, notably less so than other techniques such as imaging and biopsy. In this paper, we report the results of a pilot study (n = 10 from each of the patient and the control group) using bronchoalveolar lavage fluid to determine the presence of sEVs related to non-small cell lung cancer in twenty clinical samples examined using surface enhanced Raman spectroscopy (SERS).
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Affiliation(s)
- Sumita T. Jonak
- NurLabsSan AntonioTX 78201USA,UCLA Biodesign, University of California Los AngelesLos AngelesCA 90095USA
| | - Zirui Liu
- Department of Materials Science and Engineering, University of California Los AngelesLos AngelesCA 90095USA(310) 259 6946
| | - Jun Liu
- Department of Materials Science and Engineering, University of California Los AngelesLos AngelesCA 90095USA(310) 259 6946
| | - Tieyi Li
- Department of Materials Science and Engineering, University of California Los AngelesLos AngelesCA 90095USA(310) 259 6946
| | - Brian V. D'Souza
- NurLabsSan AntonioTX 78201USA,UCLA Biodesign, University of California Los AngelesLos AngelesCA 90095USA
| | - J. Alan Schiaffino
- NurLabsSan AntonioTX 78201USA,UCLA Biodesign, University of California Los AngelesLos AngelesCA 90095USA
| | - Scott Oh
- NurLabsSan AntonioTX 78201USA,UCLA Biodesign, University of California Los AngelesLos AngelesCA 90095USA,UCLA Health System, University of California Los AngelesLos AngelesCA 90095USA
| | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California Los AngelesLos AngelesCA 90095USA(310) 259 6946,NurLabsSan AntonioTX 78201USA,UCLA Biodesign, University of California Los AngelesLos AngelesCA 90095USA,UCLA Jonsson Comprehensive Cancer Center, University of California, Los AngelesLos AngelesCA 90095USA
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15
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Eremina OE, Kapitanova OO, Medved'ko AV, Zelenetskaya AS, Egorova BV, Shekhovtsova TN, Vatsadze SZ, Veselova IA. Plier Ligands for Trapping Neurotransmitters into Complexes for Sensitive Analysis by SERS Spectroscopy. BIOSENSORS 2023; 13:bios13010124. [PMID: 36671959 PMCID: PMC9856153 DOI: 10.3390/bios13010124] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 05/28/2023]
Abstract
Catecholamines-dopamine, noradrenaline and adrenaline are important biomarkers of neurotransmitter metabolism, indicating neuroendocrine tumors and neurodegenerative diseases. Surface-enhanced Raman spectroscopy (SERS) is a promising analytical technique with unprecedented multiplexing capabilities. However, not all important analytes exhibit strong SERS signals on stable and robust nanostructured substrates. In this work, we propose a novel indicator system based on the formation of mixed ligand complexes with bispidine-based bis-azole ligands which can serve as pliers to trap Cu(II) ions and stabilize its complexes with catecholamines. Four synthesized ligands with different functional groups: carboxyl, amino, benzyl, and methoxybenzyl, were applied for forming stable complexes to shift maximum absorbance of catecholamines from the ultraviolet region to 570-600 nm. A new absorbance band in the visible range resonates with the local surface plasmon resonance (LSPR) band of metal nanoparticles and most used laser wavelengths. This match allowed use of Molecular Immobilization and Resonant Raman Amplification by Complex-Loaded Enhancers (MIRRACLE) methodology to measure intense Raman signals on a nanostructured silver-based SERS-active substrate. The synthesized plier-like ligands fixed and stabilized catecholamine complexes with Cu(II) on the SERS sensor surface, which facilitated the determination of dopamine in a 3.2 × 10-12-1 × 10-8 M concentration range.
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Affiliation(s)
- Olga E. Eremina
- Chemistry Department, Moscow State University, Moscow 119991, Russia
| | | | - Alexei V. Medved'ko
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia
| | | | | | | | - Sergey Z. Vatsadze
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow 119991, Russia
| | - Irina A. Veselova
- Chemistry Department, Moscow State University, Moscow 119991, Russia
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16
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Conklin B, Conley BM, Hou Y, Chen M, Lee KB. Advanced theragnostics for the central nervous system (CNS) and neurological disorders using functional inorganic nanomaterials. Adv Drug Deliv Rev 2023; 192:114636. [PMID: 36481291 DOI: 10.1016/j.addr.2022.114636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/13/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022]
Abstract
Various types of inorganic nanomaterials are capable of diagnostic biomarker detection and the therapeutic delivery of a disease or inflammatory modulating agent. Those multi-functional nanomaterials have been utilized to treat neurodegenerative diseases and central nervous system (CNS) injuries in an effective and personalized manner. Even though many nanomaterials can deliver a payload and detect a biomarker of interest, only a few studies have yet to fully utilize this combined strategy to its full potential. Combining a nanomaterial's ability to facilitate targeted delivery, promote cellular proliferation and differentiation, and carry a large amount of material with various sensing approaches makes it possible to diagnose a patient selectively and sensitively while offering preventative measures or early disease-modifying strategies. By tuning the properties of an inorganic nanomaterial, the dimensionality, hydrophilicity, size, charge, shape, surface chemistry, and many other chemical and physical parameters, different types of cells in the central nervous system can be monitored, modulated, or further studies to elucidate underlying disease mechanisms. Scientists and clinicians have better understood the underlying processes of pathologies for many neurologically related diseases and injuries by implementing multi-dimensional 0D, 1D, and 2D theragnostic nanomaterials. The incorporation of nanomaterials has allowed scientists to better understand how to detect and treat these conditions at an early stage. To this end, having the multi-modal ability to both sense and treat ailments of the central nervous system can lead to favorable outcomes for patients suffering from such injuries and diseases.
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Affiliation(s)
- Brandon Conklin
- Department of Chemistry and Chemical Biology, Rutgers-the State University of New Jersey, 123, Bevier Road, Piscataway, NJ 08854, USA
| | - Brian M Conley
- Department of Chemistry and Chemical Biology, Rutgers-the State University of New Jersey, 123, Bevier Road, Piscataway, NJ 08854, USA
| | - Yannan Hou
- Department of Chemistry and Chemical Biology, Rutgers-the State University of New Jersey, 123, Bevier Road, Piscataway, NJ 08854, USA
| | - Meizi Chen
- Department of Chemistry and Chemical Biology, Rutgers-the State University of New Jersey, 123, Bevier Road, Piscataway, NJ 08854, USA
| | - Ki-Bum Lee
- Department of Chemistry and Chemical Biology, Rutgers-the State University of New Jersey, 123, Bevier Road, Piscataway, NJ 08854, USA.
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17
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Cobalt nanoparticles decorated bamboo-like N-doped carbon nanotube as nanozyme sensor for efficient biosensing. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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18
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Surface potential modulation as a tool for mitigating challenges in SERS-based microneedle sensors. Sci Rep 2022; 12:15929. [PMID: 36151248 PMCID: PMC9508330 DOI: 10.1038/s41598-022-19942-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/06/2022] [Indexed: 11/08/2022] Open
Abstract
Raman spectroscopic-based biosensing strategies are often complicated by low signal and the presence of multiple chemical species. While surface-enhanced Raman spectroscopy (SERS) nanostructured platforms are able to deliver high quality signals by focusing the electromagnetic field into a tight plasmonic hot-spot, it is not a generally applicable strategy as it often depends on the specific adsorption of the analyte of interest onto the SERS platform. This paper describes a strategy to address this challenge by using surface potential as a physical binding agent in the context of microneedle sensors. We show that the potential-dependent adsorption of different chemical species allows scrutinization of the contributions of different chemical species to the final spectrum, and that the ability to cyclically adsorb and desorb molecules from the surface enables efficient application of multivariate analysis methods. We demonstrate how the strategy can be used to mitigate potentially confounding phenomena, such as surface reactions, competitive adsorption and the presence of molecules with similar structures. In addition, this decomposition helps evaluate criteria to maximize the signal of one molecule with respect to others, offering new opportunities to enhance the measurement of analytes in the presence of interferants.
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19
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Liu Z, Li T, Wang Z, Liu J, Huang S, Min BH, An JY, Kim KM, Kim S, Chen Y, Liu H, Kim Y, Wong DT, Huang TJ, Xie YH. Gold Nanopyramid Arrays for Non-Invasive Surface-Enhanced Raman Spectroscopy-Based Gastric Cancer Detection via sEVs. ACS APPLIED NANO MATERIALS 2022; 5:12506-12517. [PMID: 36185166 PMCID: PMC9513748 DOI: 10.1021/acsanm.2c01986] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/12/2022] [Indexed: 05/05/2023]
Abstract
Gastric cancer (GC) is one of the most common and lethal types of cancer affecting over one million people, leading to 768,793 deaths globally in 2020 alone. The key for improving the survival rate lies in reliable screening and early diagnosis. Existing techniques including barium-meal gastric photofluorography and upper endoscopy can be costly and time-consuming and are thus impractical for population screening. We look instead for small extracellular vesicles (sEVs, currently also referred as exosomes) sized ⌀ 30-150 nm as a candidate. sEVs have attracted a significantly higher level of attention during the past decade or two because of their potentials in disease diagnoses and therapeutics. Here, we report that the composition information of the collective Raman-active bonds inside sEVs of human donors obtained by surface-enhanced Raman spectroscopy (SERS) holds the potential for non-invasive GC detection. SERS was triggered by the substrate of gold nanopyramid arrays we developed previously. A machine learning-based spectral feature analysis algorithm was developed for objectively distinguishing the cancer-derived sEVs from those of the non-cancer sub-population. sEVs from the tissue, blood, and saliva of GC patients and non-GC participants were collected (n = 15 each) and analyzed. The algorithm prediction accuracies were reportedly 90, 85, and 72%. "Leave-a-pair-of-samples out" validation was further performed to test the clinical potential. The area under the curve of each receiver operating characteristic curve was 0.96, 0.91, and 0.65 in tissue, blood, and saliva, respectively. In addition, by comparing the SERS fingerprints of individual vesicles, we provided a possible way of tracing the biogenesis pathways of patient-specific sEVs from tissue to blood to saliva. The methodology involved in this study is expected to be amenable for non-invasive detection of diseases other than GC.
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Affiliation(s)
- Zirui Liu
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Tieyi Li
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Zeyu Wang
- Department
of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Jun Liu
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Shan Huang
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Byoung Hoon Min
- Department
of Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Ji Young An
- Department
of Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Kyoung Mee Kim
- Department
of Pathology and Translational Genomics, Sungkyunkwan University School
of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Sung Kim
- Department
of Surgery, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Yiqing Chen
- Department
of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
| | - Huinan Liu
- Department
of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
| | - Yong Kim
- UCLA
School of Dentistry, 10833 Le Conte Ave. Box 951668, Los Angeles, California 90095-1668, United States
| | - David T.W. Wong
- UCLA
School of Dentistry, 10833 Le Conte Ave. Box 951668, Los Angeles, California 90095-1668, United States
| | - Tony Jun Huang
- Department
of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Ya-Hong Xie
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
- . Phone: (310) 259-6946
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20
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Feng L, Li C, Wang L, Li J, Liu X, Li Q, Luo S, Shen J. Self-Referenced Surface-Enhanced Raman Scattering Nanosubstrate for the Quantitative Detection of Neurotransmitters. ACS APPLIED BIO MATERIALS 2022; 5:2403-2410. [PMID: 35417131 DOI: 10.1021/acsabm.2c00272] [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] [Indexed: 11/28/2022]
Abstract
Quantitative, label-free detection of neurotransmitters is of vital importance to the diagnosis and treatment of neurologic diseases. The surface-enhanced Raman scattering (SERS) effect has great application prospects in the field of biosensing and bioimaging because of its unique nondestructive testing and its capability of being used in molecular fingerprint identification. However, the quantitative SERS analysis of neurotransmitters is still a great challenge because of the poor reproducibility of the SERS-active sites, as well as the small Raman cross-section and low physiological concentration of neurotransmitter molecules. Here, we report the development of a stellate gold nanostructure with a 1 nm interior gap for the quantitative detection of neurotransmitters. The internal reference embedded into the hollow gap of the stellate gold nanoparticle allows the calibration of the signal of analytes absorbed on the surface, which improves the R-squared value of the linear fitting curve from 0.56 to 0.97 for quantitative dopamine detection. Our developed self-referenced SERS substrate holds great potential for label-free, quantitative SERS-based biosensing.
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Affiliation(s)
- Lingyu Feng
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cong Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Lihua Wang
- Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.,Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200127, China
| | - Jiang Li
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.,Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Xiaoguo Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Qian Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shihua Luo
- Department of Traumatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Jianlei Shen
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
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21
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Nelis JLD, Bose U, Broadbent JA, Hughes J, Sikes A, Anderson A, Caron K, Schmoelzl S, Colgrave ML. Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle. Compr Rev Food Sci Food Saf 2022; 21:2391-2432. [DOI: 10.1111/1541-4337.12935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 02/02/2022] [Accepted: 02/09/2022] [Indexed: 11/29/2022]
Affiliation(s)
| | - Utpal Bose
- CSIRO Agriculture and Food St Lucia Australia
| | | | | | - Anita Sikes
- CSIRO Agriculture and Food Coopers Plains Australia
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22
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Plou J, Valera PS, García I, de Albuquerque CDL, Carracedo A, Liz-Marzán LM. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. ACS PHOTONICS 2022; 9:333-350. [PMID: 35211644 PMCID: PMC8855429 DOI: 10.1021/acsphotonics.1c01934] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 05/14/2023]
Abstract
Future precision medicine will be undoubtedly sustained by the detection of validated biomarkers that enable a precise classification of patients based on their predicted disease risk, prognosis, and response to a specific treatment. Up to now, genomics, transcriptomics, and immunohistochemistry have been the main clinically amenable tools at hand for identifying key diagnostic, prognostic, and predictive biomarkers. However, other molecular strategies, including metabolomics, are still in their infancy and require the development of new biomarker detection technologies, toward routine implementation into clinical diagnosis. In this context, surface-enhanced Raman scattering (SERS) spectroscopy has been recognized as a promising technology for clinical monitoring thanks to its high sensitivity and label-free operation, which should help accelerate the discovery of biomarkers and their corresponding screening in a simpler, faster, and less-expensive manner. Many studies have demonstrated the excellent performance of SERS in biomedical applications. However, such studies have also revealed several variables that should be considered for accurate SERS monitoring, in particular, when the signal is collected from biological sources (tissues, cells or biofluids). This Perspective is aimed at piecing together the puzzle of SERS in biomarker monitoring, with a view on future challenges and implications. We address the most relevant requirements of plasmonic substrates for biomedical applications, as well as the implementation of tools from artificial intelligence or biotechnology to guide the development of highly versatile sensors.
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Affiliation(s)
- Javier Plou
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Pablo S. Valera
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
| | - Isabel García
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
| | | | - Arkaitz Carracedo
- CIC
bioGUNE, Basque Research and Technology
Alliance (BRTA), 48160 Derio, Spain
- Biomedical
Research Networking Center in Cancer (CIBERONC), 48160, Derio, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
- Translational
Prostate Cancer Research Lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, 48160 Derio, Spain
| | - Luis M. Liz-Marzán
- CIC
biomaGUNE, Basque Research
and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine
(CIBER-BBN), 20014 Donostia-San Sebastián, Spain
- Ikerbasque,
Basque Foundation for Science, 48009 Bilbao, Spain
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23
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Kaur V, Sharma M, Sen T. DNA Origami-Templated Bimetallic Nanostar Assemblies for Ultra-Sensitive Detection of Dopamine. Front Chem 2021; 9:772267. [PMID: 35004609 PMCID: PMC8733555 DOI: 10.3389/fchem.2021.772267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/03/2021] [Indexed: 11/16/2022] Open
Abstract
The abundance of hotspots tuned via precise arrangement of coupled plasmonic nanostructures highly boost the surface-enhanced Raman scattering (SERS) signal enhancements, expanding their potential applicability to a diverse range of applications. Herein, nanoscale assembly of Ag coated Au nanostars in dimer and trimer configurations with tunable nanogap was achieved using programmable DNA origami technique. The resulting assemblies were then utilized for SERS-based ultra-sensitive detection of an important neurotransmitter, dopamine. The trimer assemblies were able to detect dopamine with picomolar sensitivity, and the assembled dimer structures achieved SERS sensitivity as low as 1 fM with a limit of detection of 0.225 fM. Overall, such coupled nanoarchitectures with superior plasmon tunability are promising to explore new avenues in biomedical diagnostic applications.
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Affiliation(s)
| | | | - Tapasi Sen
- Institute of Nano Science and Technology, Mohali, India
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24
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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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25
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Fan Q, Gao Y, Mazur F, Chandrawati R. Nanoparticle-based colorimetric sensors to detect neurodegenerative disease biomarkers. Biomater Sci 2021; 9:6983-7007. [PMID: 34528639 DOI: 10.1039/d1bm01226f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Neurodegenerative disorders (NDDs) are progressive, incurable health conditions that primarily affect brain cells, and result in loss of brain mass and impaired function. Current sensing technologies for NDD detection are limited by high cost, long sample preparation, and/or require skilled personnel. To overcome these limitations, optical sensors, specifically colorimetric sensors, have garnered increasing attention towards the development of a cost-effective, simple, and rapid alternative approach. In this review, we evaluate colorimetric sensing strategies of NDD biomarkers (e.g. proteins, neurotransmitters, bio-thiols, and sulfide), address the limitations and challenges of optical sensor technologies, and provide our outlook on the future of this field.
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Affiliation(s)
- Qingqing Fan
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
| | - Yuan Gao
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
| | - Federico Mazur
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
| | - Rona Chandrawati
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
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26
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Liu C, Lei F, Wei Y, Li Z, Zhang C, Peng Q, Man B, Yu J. Preparation of a superhydrophobic AgNP/GF substrate and its SERS application in a complex detection environment. OPTICS EXPRESS 2021; 29:34085-34096. [PMID: 34809206 DOI: 10.1364/oe.441606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/26/2021] [Indexed: 06/13/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is widely considered to be a fingerprint spectrum that can realize molecular identification, and it continues to receive a lot of attention due to its high sensitivity and powerful qualitative analysis capabilities. In recent years, there has been a lot of work and reports on super-sensitive SERS substrates, but often the enhanced ability of the substrate is also effective for impurities and irrelevant molecules. Therefore, a problem that still remains to be solved is how to perform effective trace detection of specific substances in a complex detection environment. Herein, a superhydrophobic Ag nanoparticle/glass microfibre filter (AgNP/GF) substrate was designed to realize the Raman detection of complex multiphase solutions. The hydrophobic three-dimensional net-like structure provides efficient Raman enhancement, making the substrate have extremely high detection limits for dye molecules and even achieving specific detection of the hexane phase component (thiram molecule) in a multiphase solution.
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27
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Zhu W, Feng X, Liu Z, Zhao M, He P, Yang S, Tang S, Chen D, Guo Q, Wang G, Ding G. Sensitive, Reusable, Surface-Enhanced Raman Scattering Sensors Constructed with a 3D Graphene/Si Hybrid. ACS APPLIED MATERIALS & INTERFACES 2021; 13:23081-23091. [PMID: 33957757 DOI: 10.1021/acsami.1c02182] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Surface-enhanced Raman scattering (SERS) substrates based on graphene and its derivatives have recently attracted attention among those interested in the detection of trace molecules; however, these substrates generally show poor uniformity, an unsatisfactory enhancement factor, and require a complex fabrication process. Herein, we design and fabricate three-dimensional (3D) graphene/silicon (3D-Gr/Si) heterojunction SERS substrates to detect various types of molecules. Notably, the detection limit of 3D-Gr/Si can reach 10-10 M for rhodamine 6G (R6G) and rhodamine B (RB), 10-7 M for crystal violet (CRV), copper(II) phthalocyanine (CuPc), and methylene blue (MB), 10-8 M for dopamine (DA), 10-6 M for bovine serum albumin (BSA), and 10-5 M for melamine (Mel), which is superior to most reported graphene-based SERS substrates. Besides, the proposed 3D-Gr/Si heterojunction SERS substrates can achieve a high uniformity with relative standard deviations (RSDs) of less than 5%. Moreover, the 3D-Gr/Si SERS substrates are reusable after washing with ethyl alcohol to remove the adsorbed molecules. These excellent SERS performances are attributed to the novel 3D structure and abundantly exposed atomically thin edges, which facilitate charge transfer between 3D-Gr and probe molecules. We believe that the 3D-Gr/Si heterojunction SERS substrates offer potential for practical applications in biochemical molecule detection and provide insight into the design of high-performance SERS substrates.
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Affiliation(s)
- Wei Zhu
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Xiaoqiang Feng
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Zhiduo Liu
- State Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P. R. China
| | - Menghan Zhao
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Peng He
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, P. R. China
| | - Siwei Yang
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, P. R. China
| | - Shiwei Tang
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Da Chen
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Qinglei Guo
- School of Microelectronics, Shandong University, Jinan 250100, P. R. China
| | - Gang Wang
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
| | - Guqiao Ding
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, P. R. China
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, P. R. China
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28
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Li L, Lu Y, Qian Z, Yang Z, Yang K, Zong S, Wang Z, Cui Y. Ultra-sensitive surface enhanced Raman spectroscopy sensor for in-situ monitoring of dopamine release using zipper-like ortho-nanodimers. Biosens Bioelectron 2021; 180:113100. [DOI: 10.1016/j.bios.2021.113100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 01/06/2023]
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29
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Lu D, Fan M, Cai R, Huang Z, You R, Huang L, Feng S, Lu Y. Silver nanocube coupling with a nanoporous silver film for dual-molecule recognition based ultrasensitive SERS detection of dopamine. Analyst 2021; 145:3009-3016. [PMID: 32129782 DOI: 10.1039/d0an00177e] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Dopamine (DA) is one of the catecholamine neurotransmitters used for the treatment of neural disorders. In this study, a novel sensor based on surface-enhanced Raman scattering (SERS) with dual molecule-recognition for ultrasensitive detection of DA was presented, with a limit of detection (LOD) of 40 fM, without any pretreatment of clinical samples. To realize the sensitive and selective detection of DA in complex samples, the nanoporous silver film (AgNF) surfaces were functionalized with mercaptopropionic acid (MPA) to accurately capture DA, while silver nanocubes (AgNCs) were modified with 4-mercaptobenzene boronic acid (4-MPBA) as a Raman reporter for the quantitative detection of DA. The nanogaps between AgNCs and the AgNF led to the generation of an abundance of hot spots for the SERS signal and thus effectively improved the sensitivity of DA detection. Measurements of DA concentrations in clinical body fluids such as human serum and urine samples are also demonstrated, showing excellent performance for DA detection in a complex environment. Our results demonstrate the promising potential for the ultrasensitive detection of DA for the potential diagnosis of DA-related diseases.
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Affiliation(s)
- Dechan Lu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineering, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350117, China.
| | - Min Fan
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineering, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350117, China.
| | - Rongyuan Cai
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineering, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350117, China.
| | - Zufang Huang
- Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350117, China
| | - Ruiyun You
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineering, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350117, China.
| | - Luqiang Huang
- College of Life Sciences, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian 350117, China
| | - Shangyuan Feng
- Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350117, China
| | - Yudong Lu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineering, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350117, China.
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30
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Cheng N, Fu J, Chen D, Chen S, Wang H. An antibody-free liver cancer screening approach based on nanoplasmonics biosensing chips via spectrum-based deep learning. NANOIMPACT 2021; 21:100296. [PMID: 35559784 DOI: 10.1016/j.impact.2021.100296] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/05/2021] [Accepted: 01/10/2021] [Indexed: 05/20/2023]
Abstract
The clinical needs of rapidly screening liver cancer in large populations have asked for a facile and low-cost point-of-care testing (POCT) method. We present a nanoplasmonics biosensing chip (NBC) that would empower antibody-free detection with simplified analysis procedures for POCT. The cheaply fabricable NBC consists of multiple silver nanoparticle-decorated ZnO nanorods on cellulose filter paper and would enable one-drop blood tests through surface-enhanced Raman spectroscopy (SERS) detection. In this work, utilizing such an NBC and deep neural network (DNN) modeling, a direct serological detection platform was constructed for automatically identifying liver cancer within minutes. This chip could enhance Raman signals enough to be applied to POCT. A classification DNN model was established by spectrum-based deep learning with 1140 serum SERS spectra in equal proportions from hepatocellular carcinoma (HCC) patients and healthy individuals, achieving an identification accuracy of 91% on an external validation set of 100 spectra (50 HCC versus 50 healthy). The intelligent platform, based on the biosensing chip and DNN, has the potential for clinical applications and generalizable use in quickly screening or detecting other types of cancer.
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Affiliation(s)
- Ningtao Cheng
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, PR China
| | - Jing Fu
- International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, PR China; National Center for Liver Cancer, Shanghai 201805, PR China
| | - Dajing Chen
- School of Medicine, Hangzhou Normal University, Hangzhou, Zhejiang 311121, PR China
| | - Shuzhen Chen
- International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, PR China; National Center for Liver Cancer, Shanghai 201805, PR China
| | - Hongyang Wang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, PR China; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, PR China; National Center for Liver Cancer, Shanghai 201805, PR China; Ministry of Education Key Laboratory on Signaling Regulation and Targeting Therapy of Liver Cancer, Shanghai Key Laboratory of Hepatobiliary Tumor Biology, Shanghai 200438, PR China.
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31
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Abbasi-Moayed S, Bigdeli A, Hormozi-Nezhad MR. Application of NaYF 4:Yb/Er/Tm UCNPs in Array-Based Sensing of Neurotransmitters: From a Single Particle to a Multichannel Sensor Array. ACS APPLIED MATERIALS & INTERFACES 2020; 12:52976-52982. [PMID: 33174736 DOI: 10.1021/acsami.0c17200] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
A novel multichannel sensor array has been designed using a single, yet multiemissive lanthanide-doped upconversion nanoparticle (UCNP). The energy levels of lanthanide ions gave rise to several emission bands which were exploited as individual sensor elements for the recognition of four important neurotransmitters (NTs): dopamine, norepinephrine, levodopa, and serotonin. At alkaline conditions, the oxidation products of these NTs quenched the fluorescence emissions of UCNPs with different quenching degrees. The resulting fingerprint multichannel emission profiles from NaYF4:Yb/Er/Tm UCNPs allowed the discrimination of NTs with excellent accuracy. The recognition was further verified in artificial cerebrospinal fluid, as a complex biological media. We believe that the designed UCNP-based multichannel sensor array offers innovative insights into the discrimination of various chemical signatures using a single measurement.
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Affiliation(s)
| | - Arafeh Bigdeli
- Chemistry Department, Sharif University of Technology, Tehran 11155-9516, Iran
| | - Mohammad Reza Hormozi-Nezhad
- Chemistry Department, Sharif University of Technology, Tehran 11155-9516, Iran
- Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran 14588-89694, Iran
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32
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Guo P, Zeng W, Tian S, Chen H, Liu W, Chen C. Quantitative detection of nanomolar drug using surface-enhanced Raman scattering combined with internal standard method and two-step centrifugation method. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105202] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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33
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Choi JH, Kim TH, El-Said WA, Lee JH, Yang L, Conley B, Choi JW, Lee KB. In Situ Detection of Neurotransmitters from Stem Cell-Derived Neural Interface at the Single-Cell Level via Graphene-Hybrid SERS Nanobiosensing. NANO LETTERS 2020; 20:7670-7679. [PMID: 32870013 PMCID: PMC8849936 DOI: 10.1021/acs.nanolett.0c03205] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
In situ quantitative measurements of neurotransmitter activities can provide useful insights into the underlying mechanisms of stem cell differentiation, the formation of neuronal networks, and neurodegenerative diseases. Currently, neurotransmitter detection methods suffer from poor spatial resolution, nonspecific detection, and a lack of in situ analysis. To address this challenge, herein, we first developed a graphene oxide (GO)-hybrid nanosurface-enhanced Raman scattering (SERS) array to detect dopamine (DA) in a selective and sensitive manner. Using the GO-hybrid nano-SERS array, we successfully measured a wide range of DA concentrations (10-4 to 10-9 M) rapidly and reliably. Moreover, the measurement of DA from differentiating neural stem cells applies to the characterization of neuronal differentiation. Given the challenges of in situ detection of neurotransmitters at the single-cell level, our developed SERS-based detection method can represent a unique tool for investigating single-cell signaling pathways associated with DA, or other neurotransmitters, and their roles in neurological processes.
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Affiliation(s)
- Jin-Ha Choi
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
| | - Tae-Hyung Kim
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Waleed Ahmed El-Said
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
- Department of Chemistry, Faculty of Science, Assiut University, Assiut 71516, Egypt
| | - Jin-Ho Lee
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
| | - Letao Yang
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Brian Conley
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
| | - Jeong-Woo Choi
- Department of Chemical & Biomolecular Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea
| | - Ki-Bum Lee
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 123 Bevier Road, Piscataway, New Jersey 08854, United States
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34
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Castillo RM, Ramos E, Martínez A. Interaction of graphene with antipsychotic drugs: Is there any charge transfer process? J Comput Chem 2020; 42:60-65. [DOI: 10.1002/jcc.26433] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/21/2020] [Accepted: 09/29/2020] [Indexed: 12/27/2022]
Affiliation(s)
- Roxana M. Castillo
- Departamento de Física, Facultad de Ciencias Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria CDMX Mexico
| | - Estrella Ramos
- Instituto de Investigaciones en Materiales Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria CDMX Mexico
| | - Ana Martínez
- Instituto de Investigaciones en Materiales Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria CDMX Mexico
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35
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Tezcan T, Hsu CH. High-sensitivity SERS based sensing on the labeling side of glass slides using low branched gold nanoparticles prepared with surfactant-free synthesis. RSC Adv 2020; 10:34290-34298. [PMID: 35519059 PMCID: PMC9056777 DOI: 10.1039/d0ra02490b] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 09/04/2020] [Indexed: 01/08/2023] Open
Abstract
Surface-enhanced Raman scattering (SERS) has become a more attractive tool for biological and chemical sensing due to having a great detection potential to extremely low concentrations of analyte. Here, we report high-sensitivity SERS detection of low branched gold nanoparticles which are produced by a surfactant-free synthesis method. The effects of the size and branches of nanoparticles on the SERS signal intensity were also investigated. Among the prepared nanoparticles, a new type of nanoparticle with small protrusions produced by using a very low concentration of silver ions (2 μM in final solution) achieved the best enhancement factor of ∼4 × 105 for DTNB used as a probe molecule. SERS measurements were performed on the labeling side of microscope glass slides for the first time. The substrate exhibited a good reproducible SERS signal with a relative standard deviation (RSD) of 1.7%. SERS signal intensity obtained using the labelling side was three times larger compared to that obtained using bare glass. To validate the sensing platform, dopamine, an important modulatory neurotransmitter in the brain, was tested. The reported platform was able to achieve label-free detection of dopamine at picomolar and nanomolar concentration level in aqueous and fetal bovine serum (FBS) solution at pH 8.5 respectively. Due to its surfactant-free preparation and enhanced SERS-based sensing features, our reported platform represents a strong alternative to be used in SERS-based sensing applications. High-sensitivity dopamine detection on aggregated low branched nanoparticles on labelling side of glass slide as a SERS based sensor.![]()
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Affiliation(s)
- Tuğba Tezcan
- Institutes of Biomedical Engineering and Nanomedicine, National Health Research Institutes Zhunan Taiwan
| | - Chia-Hsien Hsu
- Institutes of Biomedical Engineering and Nanomedicine, National Health Research Institutes Zhunan Taiwan .,Institute of Nano Engineering and MicroSystems, National Tsing Hua University Hsinchu Taiwan .,Ph.D. Program in Tissue Engineering and Regenerative Medicine, National Chung Hsing University Taichung Taiwan
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Dong J, Cao Y, Han Q, Wang Y, Qi M, Zhang W, Qiao L, Qi J, Gao W. Plasmon-exciton coupling for nanophotonic sensing on chip. OPTICS EXPRESS 2020; 28:20817-20829. [PMID: 32680134 DOI: 10.1364/oe.387867] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 06/22/2020] [Indexed: 06/11/2023]
Abstract
The monolayer graphene-noble metallic nanostructure hybrid system with excellent optical characteristic, which is deserved pay attentions in the study of surface-enhanced Raman scattering spectroscopy. In this work, a hybrid sandwich structure is designed to transfer single-layer graphene to the surface of discs substrate covered by silver film and assembly of the dense Au nanoparticles (AuNPs). Blu-ray disc has a cycle density of approximately 5.7 times that of DVD-R due to the different storage capacities of these optical discs. In the research, enhancement effects have been explored for two different periodic grating structures. Compared to spectra of Si/G structure, Graphene Raman spectra from Blu-grating/AuNPs/G structure and Blu-grating/G/AuNPs enhancement multiples at the 2D peak position possesses different Raman responses of 1.09 and 2.51 times, respectively. The sandwich hybrid structure of Ag grating/graphene/AuNPs obtains a Raman enhancement factor (EF) of 6.2×108 for Rhodamine 6G and surface-enhanced Raman Scattering(SERS) detection limit of 0.1 nM. These findings can be attributed to the electric field enhancement of the hybrid structure and the chemical enhancement of graphene. This study provides a new approach for SERS detection and offers a new technique for designing SERS sensors with grapheme-plasmon hybrid structures.
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YEĞENOĞLU AKÇINAR H, ASLIM* B, TORUL H, GÜVEN B, ZENGİN A, SULUDERE Z, BOYACI İH, TAMER U. Immunomagnetic separation and Listeriamonocytogenes detection with surface-enhanced Raman scattering. Turk J Med Sci 2020; 50:1157-1167. [PMID: 32283902 PMCID: PMC7379434 DOI: 10.3906/sag-2002-234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 04/11/2020] [Indexed: 11/03/2022] Open
Abstract
Background/aim We aimed to develop a rapid method to enumerate Listeria monocytogenes (L. monocytogenes) utilizing magnetic nanoparticle based preconcentration and surface-enhanced Raman spectroscopy measurements. Materials and methods Biological activities of magnetic Au-nanoparticles have been observed to have the high biocompatibility, and a sample immunosensor model has been designed to use avidin attached Au-nanoparticles for L. monocytogenes detection. Staphylococcus aureus (S. aureus) and Salmonella typhimurium (S. typhimurium) bacteria cultures were chosen for control studies. Antimicrobial activity studies have been done to identify bio-compatibility and bio-characterization of the Au-nanoparticles in our previous study and capturing efficiencies to bacterial surfaces have been also investigated. Results We constructed the calibration graphs in various population density of L. monocytogenes as 2.2 × 101 to 2.2 × 106 cfu/mL and the capture efficiency was found to be 75%. After the optimization procedures, population density of L. monocytogenes and Raman signal intensity showed a good linear correlation (R2 = 0.991) between 102 to 106 cfu/mL L. monocytogenes. The presented sandwich assay provides low detection limits and limit of quantification as 12 cfu/mL and 37 cfu/mL, respectively. We also compared the experimental results with reference plate-counting methods and the practical utility of the proposed assay is demonstrated using milk samples. Conclusion It is focused on the enumeration of L. monocytogenes in milk samples and the comparision of results of milk analysis obtained by the proposed SERS method and by plate counting method stay in food agreement. In the present study, all parameters were optimized to select SERS-based immunoassay method for L. monocytogenes bacteria to ensure LOD, selectivity, precision and repeatablity.
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Affiliation(s)
| | - Belma ASLIM*
- Department of Biology, Faculty of Science, Gazi University, AnkaraTurkey
| | - Hilal TORUL
- Department of Analytical Chemistry, Faculty of Pharmacy, Gazi University, AnkaraTurkey
| | - Burcu GÜVEN
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, AnkaraTurkey
| | - Adem ZENGİN
- Department of Chemical Engineering, Faculty of Engineering, Yüzüncü Yıl University, VanTurkey
| | - Zekiye SULUDERE
- Department of Biology, Faculty of Science, Gazi University, AnkaraTurkey
| | - İsmail Hakkı BOYACI
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, AnkaraTurkey
| | - Uğur TAMER
- Department of Analytical Chemistry, Faculty of Pharmacy, Gazi University, AnkaraTurkey
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Kamal Eddin FB, Fen YW. The Principle of Nanomaterials Based Surface Plasmon Resonance Biosensors and Its Potential for Dopamine Detection. Molecules 2020; 25:molecules25122769. [PMID: 32549390 PMCID: PMC7356898 DOI: 10.3390/molecules25122769] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/12/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
For a healthy life, the human biological system should work in order. Scheduled lifestyle and lack of nutrients usually lead to fluctuations in the biological entities levels such as neurotransmitters (NTs), proteins, and hormones, which in turns put the human health in risk. Dopamine (DA) is an extremely important catecholamine NT distributed in the central nervous system. Its level in the body controls the function of human metabolism, central nervous, renal, hormonal, and cardiovascular systems. It is closely related to the major domains of human cognition, feeling, and human desires, as well as learning. Several neurological disorders such as schizophrenia and Parkinson’s disease are related to the extreme abnormalities in DA levels. Therefore, the development of an accurate, effective, and highly sensitive method for rapid determination of DA concentrations is desired. Up to now, different methods have been reported for DA detection such as electrochemical strategies, high-performance liquid chromatography, colorimetry, and capillary electrophoresis mass spectrometry. However, most of them have some limitations. Surface plasmon resonance (SPR) spectroscopy was widely used in biosensing. However, its use to detect NTs is still growing and has fascinated impressive attention of the scientific community. The focus in this concise review paper will be on the principle of SPR sensors and its operation mechanism, the factors that affect the sensor performance. The efficiency of SPR biosensors to detect several clinically related analytes will be mentioned. DA functions in the human body will be explained. Additionally, this review will cover the incorporation of nanomaterials into SPR biosensors and its potential for DA sensing with mention to its advantages and disadvantages.
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Affiliation(s)
- Faten Bashar Kamal Eddin
- Department of Physics, Faculty of Science, University Putra Malaysia, UPM, Serdang 43400, Selangor, Malaysia;
| | - Yap Wing Fen
- Department of Physics, Faculty of Science, University Putra Malaysia, UPM, Serdang 43400, Selangor, Malaysia;
- Functional Devices Laboratory, Institute of Advanced Technology, University Putra Malaysia, UPM, Serdang 43400, Selangor, Malaysia
- Correspondence:
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Senel M, Dervisevic M, Alhassen S, Alachkar A, Voelcker NH. Electrochemical Micropyramid Array-Based Sensor for In Situ Monitoring of Dopamine Released from Neuroblastoma Cells. Anal Chem 2020; 92:7746-7753. [PMID: 32367711 DOI: 10.1021/acs.analchem.0c00835] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Abnormal dopamine neurotransmission is associated with several neurological and psychiatric disorders such as Parkinson's disease, schizophrenia, attention deficiency and hyperactivity disorder, and addiction. Developing highly sensitive, selective, and fast dopamine monitoring methods is of high importance especially for the early diagnosis of these diseases. Herein, we report a new ultrasensitive electrochemical sensing platform for in situ monitoring of cell-secreted dopamine using Au-coated arrays of micropyramid structures integrated directly into a Petri dish. This approach enables the monitoring of dopamine released from cells in real-time without the need for relocating cultured cells. According to the electrochemical analyses, our dopamine sensing platform exhibits excellent analytical characteristics with a detection limit of 0.50 ± 0.08 nM, a wide linear range of 0.01-500 μM, and a sensitivity of 0.18 ± 0.01 μA/μM. The sensor also has remarkable selectivity toward DA in the presence of different potentially interfering small molecules. The developed electrochemical sensor has great potential for in vitro analysis of neuronal cells as well as early diagnosis of different neurological diseases related to abnormal levels of dopamine.
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Affiliation(s)
- Mehmet Senel
- Department of Pharmaceutical Sciences, University of California, Irvine, California 92697-4625, United States
| | - Muamer Dervisevic
- Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.,Commonwealth Scientific and Industrial Research Organization (CSIRO) Manufacturing, Clayton, Victoria 3168, Australia
| | - Sammy Alhassen
- Department of Pharmaceutical Sciences, University of California, Irvine, California 92697-4625, United States
| | - Amal Alachkar
- Department of Pharmaceutical Sciences, University of California, Irvine, California 92697-4625, United States
| | - Nicolas H Voelcker
- Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.,Commonwealth Scientific and Industrial Research Organization (CSIRO) Manufacturing, Clayton, Victoria 3168, Australia.,Victorian Node of the Australian National Fabrication Facility, Melbourne Centre for Nanofabrication (MCN), Clayton, Victoria 3168, Australia
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40
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Nishitani S, Sakata T. Enhancement of Signal-to-Noise Ratio for Serotonin Detection with Well-Designed Nanofilter-Coated Potentiometric Electrochemical Biosensor. ACS APPLIED MATERIALS & INTERFACES 2020; 12:14761-14769. [PMID: 32133848 DOI: 10.1021/acsami.9b19309] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In this paper, we proposed to enhance a signal-to-noise (S/N) ratio for detecting a primary stress marker, serotonin, using a potentiometric biosensor modified by a well-designed nanofilter film. An extended-Au-gate field-effect transistor (EG-Au-gate FET) biosensor exhibits highly sensitive electrochemical detection toward various small biomolecules, including serotonin. Therefore, to enhance the S/N ratio for the serotonin detection, we designed an appropriate nanofilter film on the Au electrode by combining the aryldiazonium salt reduction strategy and boronate affinity. That is, only serotonin can approach the Au sensing surface to generate an electrical signal; interfering biomolecules are prevented from penetrating through the nanofilter, either because large interfering biomolecules cannot permeate through the highly dense, nanoporous multilayer film, or because phenylboronic acids included in the nanofilter captures small interfering biomolecules (e.g., catecholamines). The potentiometric biosensor modified by such a nanofilter film detected serotonin in a model sample solution containing catecholamines, cortisol, and human serum albumin with a high S/N ratio for the serotonin levels in the blood. Furthermore, we found that the effect of the nanofilter directly reflects the binding affinity of the receptors such as phenylboronic acids included in the nanofilter; thus, the selectivity and dynamic range of small target biomolecules can be tuned freely by designing the appropriate receptors for the nanofilter. The results show that a well-designed nanofilter biointerface can be a versatile biosensing platform for point-of-care testing, particularly for a simple stress check.
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Affiliation(s)
- Shoichi Nishitani
- Department of Materials Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Toshiya Sakata
- Department of Materials Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
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41
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Chauhan N, Soni S, Agrawal P, Balhara YPS, Jain U. Recent advancement in nanosensors for neurotransmitters detection: Present and future perspective. Process Biochem 2020. [DOI: 10.1016/j.procbio.2019.12.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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42
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Yu X, Hayden EY, Wang P, Xia M, Liang O, Bai Y, Teplow DB, Xie YH. Ultrasensitive amyloid β-protein quantification with high dynamic range using a hybrid graphene-gold surface-enhanced Raman spectroscopy platform. JOURNAL OF RAMAN SPECTROSCOPY : JRS 2020; 51:432-441. [PMID: 33688113 PMCID: PMC7938713 DOI: 10.1002/jrs.5785] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 10/13/2019] [Indexed: 05/30/2023]
Abstract
Surface enhanced Raman spectroscopy (SERS) holds great promise in biosensing because of its single-molecule, label-free sensitivity. We describe here the use of a graphene-gold hybrid plasmonic platform that enables quantitative SERS measurement. Quantification is enabled by normalizing analyte peak intensities to that of the graphene G peak. We show that two complementary quantification modes are intrinsic features of the platform, and that through their combined use, the platform enables accurate determination of analyte concentration over a concentration range spanning seven orders of magnitude. We demonstrate, using a biologically relevant test analyte, the amyloid β-protein (Aβ), a seminal pathologic agent of Alzheimer's disease (AD), that linear relationships exist between (a) peak intensity and concentration at a single plasmonic hot spot smaller than 100 nm, and (b) frequency of hot spots with observable protein signals, i.e. the co-location of an Aβ protein and a hot spot. We demonstrate the detection of Aβ at a concentration as low as 10-18 M after a single 20 μl aliquot of the analyte onto the hybrid platform. This detection sensitivity can be improved further through multiple applications of analyte to the platform and by rastering the laser beam with smaller step sizes.
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Affiliation(s)
- Xinke Yu
- Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States
| | - Eric Y. Hayden
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California, 90095, United States
| | - Pu Wang
- Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States
| | - Ming Xia
- Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States
| | - Owen Liang
- Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States
| | - Yu Bai
- School of Nano-Science and Nano-Engineering, Suzhou & Collaborative Innovation Center of Suzhou Nano Science and Technology, Xi’an Jiaotong University, Xi’an 710049, PR China
| | - David B. Teplow
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California, 90095, United States
| | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, California, 90095, United States
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Kamal Eddin FB, Wing Fen Y. Recent Advances in Electrochemical and Optical Sensing of Dopamine. SENSORS (BASEL, SWITZERLAND) 2020; 20:E1039. [PMID: 32075167 PMCID: PMC7071053 DOI: 10.3390/s20041039] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 12/13/2019] [Accepted: 12/13/2019] [Indexed: 12/13/2022]
Abstract
Nowadays, several neurological disorders and neurocrine tumours are associated with dopamine (DA) concentrations in various biological fluids. Highly accurate and ultrasensitive detection of DA levels in different biological samples in real-time can change and improve the quality of a patient's life in addition to reducing the treatment cost. Therefore, the design and development of diagnostic tool for in vivo and in vitro monitoring of DA is of considerable clinical and pharmacological importance. In recent decades, a large number of techniques have been established for DA detection, including chromatography coupled to mass spectrometry, spectroscopic approaches, and electrochemical (EC) methods. These methods are effective, but most of them still have some drawbacks such as consuming time, effort, and money. Added to that, sometimes they need complex procedures to obtain good sensitivity and suffer from low selectivity due to interference from other biological species such as uric acid (UA) and ascorbic acid (AA). Advanced materials can offer remarkable opportunities to overcome drawbacks in conventional DA sensors. This review aims to explain challenges related to DA detection using different techniques, and to summarize and highlight recent advancements in materials used and approaches applied for several sensor surface modification for the monitoring of DA. Also, it focuses on the analytical features of the EC and optical-based sensing techniques available.
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Affiliation(s)
- Faten Bashar Kamal Eddin
- Department of Physics, Faculty of Science, Universiti Putra Malaysia, Serdang 43400 UPM, Selangor, Malaysia;
| | - Yap Wing Fen
- Department of Physics, Faculty of Science, Universiti Putra Malaysia, Serdang 43400 UPM, Selangor, Malaysia;
- Functional Devices Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, Serdang 43400 UPM, Selangor, Malaysia
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Jabłońska A, Jaworska A, Kasztelan M, Berbeć S, Pałys B. Graphene and Graphene Oxide Applications for SERS Sensing and Imaging. Curr Med Chem 2020; 26:6878-6895. [PMID: 30289065 DOI: 10.2174/0929867325666181004152247] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 11/22/2022]
Abstract
Surface Enhanced Raman Spectroscopy (SERS) has a long history as an ultrasensitive platform for the detection of biological species from small aromatic molecules to complex biological systems as circulating tumor cells. Thanks to unique properties of graphene, the range of SERS applications has largely expanded. Graphene is efficient fluorescence quencher improving quality of Raman spectra. It contributes also to the SERS enhancement factor through the chemical mechanism. In turn, the chemical flexibility of Reduced Graphene Oxide (RGO) enables tunable adsorption of molecules or cells on SERS active surfaces. Graphene oxide composites with SERS active nanoparticles have been also applied for Raman imaging of cells. This review presents a survey of SERS assays employing graphene or RGO emphasizing the improvement of SERS enhancement brought by graphene or RGO. The structure and physical properties of graphene and RGO will be discussed too.
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Affiliation(s)
- Anna Jabłońska
- Chemical and Biological Research Centre, University of Warsaw, Zwirki i Wigury str. 101, Warsaw, PL-02- 089, Poland
| | - Aleksandra Jaworska
- Faculty of Chemistry, University of Warsaw, Pasteur str. 1, Warsaw, PL-02-093, Poland
| | - Mateusz Kasztelan
- Faculty of Chemistry, University of Warsaw, Pasteur str. 1, Warsaw, PL-02-093, Poland
| | - Sylwia Berbeć
- Faculty of Chemistry, University of Warsaw, Pasteur str. 1, Warsaw, PL-02-093, Poland
| | - Barbara Pałys
- Chemical and Biological Research Centre, University of Warsaw, Zwirki i Wigury str. 101, Warsaw, PL-02- 089, Poland
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Yang D, Liu G, Li H, Liu A, Guo J, Shan Y, Wang Z, He J. The fabrication of a gold nanoelectrode–nanopore nanopipette for dopamine enrichment and multimode detection. Analyst 2020; 145:1047-1055. [DOI: 10.1039/c9an01990a] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
It is important to further improve the electrophysiology and electrochemistry techniques of neurotransmitter detection.
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Affiliation(s)
- Dan Yang
- Advanced Institute of Material Science
- Changchun University of Technology
- Changchun
- China
| | - Guohui Liu
- Advanced Institute of Material Science
- Changchun University of Technology
- Changchun
- China
| | - Hongna Li
- School of Chemistry and Life Science
- Changchun University of Technology
- Changchun
- China
| | - Aoxue Liu
- School of Chemistry and Life Science
- Changchun University of Technology
- Changchun
- China
| | - Jing Guo
- Physics
- Florida International University
- Miami
- USA
| | - Yuping Shan
- School of Chemistry and Life Science
- Changchun University of Technology
- Changchun
- China
| | - Zhe Wang
- Advanced Institute of Material Science
- Changchun University of Technology
- Changchun
- China
| | - Jin He
- Physics
- Florida International University
- Miami
- USA
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Wang J, Qiu C, Mu X, Pang H, Chen X, Liu D. Ultrasensitive SERS detection of rhodamine 6G and p-nitrophenol based on electrochemically roughened nano-Au film. Talanta 2019; 210:120631. [PMID: 31987213 DOI: 10.1016/j.talanta.2019.120631] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 11/30/2019] [Accepted: 12/07/2019] [Indexed: 12/14/2022]
Abstract
Quantitative analysis of organic pollutants in environmental water is an important issue for ecological environment and human health. In this paper, the quantitative analysis of rhodamine 6G (R6G) and p-nitrophenol (PNP) is performed by the surface enhanced Raman scattering (SERS) technology. The enhancement of Raman signals is achieved on the surface of an electrochemically roughened nano-Au film. The SERS performance depends on the microstructure of roughened nano-Au films, which is affected by the thickness of Au films and electrochemical roughening parameters. The structure-dependence of SERS performance is validated by finite element simulation of local electromagnetic field distribution. An obvious SERS effect of R6G with an enhancement factor of 108 is obtained on the roughened nano-Au film. A sensitive SERS detection of R6G with a linear range of 10-9-10-5 M and a detection limit of 10-11 M is realized. Moreover, a wide linear range of 10-9-10-3 M is obtained for the detection of PNP. The roughened nano-Au film is an effective substrate for the SERS detection of organic pollutants with high reproducibility and good stability. Therefore, the electrochemical technology in this study is expected to be a very promising method for the fabrication of high-performance SERS substrate.
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Affiliation(s)
- Jiangcai Wang
- State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China
| | - Cuicui Qiu
- State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China; Tianjin Research Institute for Advanced Equipment, Tsinghua University, Tianjin, 300300, China.
| | - Xijiao Mu
- Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China
| | - Hua Pang
- State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China
| | - Xinchun Chen
- State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China
| | - Dameng Liu
- State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China; Tianjin Research Institute for Advanced Equipment, Tsinghua University, Tianjin, 300300, China.
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A graphene oxide-gold nanostar hybrid based-paper biosensor for label-free SERS detection of serum bilirubin for diagnosis of jaundice. Biosens Bioelectron 2019; 145:111713. [DOI: 10.1016/j.bios.2019.111713] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 09/16/2019] [Accepted: 09/17/2019] [Indexed: 01/02/2023]
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48
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Jeong S, Yang D, Beyene AG, Del Bonis-O’Donnell JT, Gest AMM, Navarro N, Sun X, Landry MP. High-throughput evolution of near-infrared serotonin nanosensors. SCIENCE ADVANCES 2019; 5:eaay3771. [PMID: 31897432 PMCID: PMC6920020 DOI: 10.1126/sciadv.aay3771] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 10/30/2019] [Indexed: 05/11/2023]
Abstract
Imaging neuromodulation with synthetic probes is an emerging technology for studying neurotransmission. However, most synthetic probes are developed through conjugation of fluorescent signal transducers to preexisting recognition moieties such as antibodies or receptors. We introduce a generic platform to evolve synthetic molecular recognition on the surface of near-infrared fluorescent single-wall carbon nanotube (SWCNT) signal transducers. We demonstrate evolution of molecular recognition toward neuromodulator serotonin generated from large libraries of ~6.9 × 1010 unique ssDNA sequences conjugated to SWCNTs. This probe is reversible and produces a ~200% fluorescence enhancement upon exposure to serotonin with a K d = 6.3 μM, and shows selective responsivity over serotonin analogs, metabolites, and receptor-targeting drugs. Furthermore, this probe remains responsive and reversible upon repeat exposure to exogenous serotonin in the extracellular space of acute brain slices. Our results suggest that evolution of nanosensors could be generically implemented to develop other neuromodulator probes with synthetic molecular recognition.
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Affiliation(s)
- Sanghwa Jeong
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Darwin Yang
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Abraham G. Beyene
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | - Anneliese M. M. Gest
- Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Nicole Navarro
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Xiaoqi Sun
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Markita P. Landry
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Innovative Genomics Institute (IGI), Berkeley, CA 94720, USA
- California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, Berkeley, CA 94720, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
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Yang L, Lee JH, Rathnam C, Hou Y, Choi JW, Lee KB. Dual-Enhanced Raman Scattering-Based Characterization of Stem Cell Differentiation Using Graphene-Plasmonic Hybrid Nanoarray. NANO LETTERS 2019; 19:8138-8148. [PMID: 31663759 DOI: 10.1021/acs.nanolett.9b03402] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has demonstrated great potential to analyze a variety of bio/chemical molecular interactions within cells in a highly sensitive and selective manner. Despite significant advancements, it remains a critical challenge to ensure high sensitivity and selectivity, while achieving uniform signal enhancement and high reproducibility for quantitative detection of targeted biomarkers within a complex stem cell microenvironment. Herein, we demonstrate an innovative sensing platform, using graphene-coated homogeneous plasmonic metal (Au) nanoarrays, which synergize both electromagnetic mechanism (EM)- and chemical mechanism (CM)-based enhancement. Through the homogeneous plasmonic nanostructures, generated by laser interference lithography (LIL), highly reproducible enhancement of Raman signals could be obtained via a strong and uniform EM. Additionally, the graphene-functionalized surface simultaneously amplifies the Raman signals by an optimized CM, which aligns the energy level of the graphene oxide with the target molecule by tuning its oxidation levels, consequently increasing the sensitivity and accuracy of our sensing system. Using the dual-enhanced Raman scattering from both EM from the homogeneous plasmonic Au nanoarray and CM from the graphene surface, our graphene-Au hybrid nanoarray was successfully utilized to detect as well as quantify a specific biomarker (TuJ1) gene expression levels to characterize neuronal differentiation of human neural stem cells (hNSCs). Collectively, we believe our unique graphene-plasmonic hybrid nanoarray can be extended to a wide range of applications in the development of simple, rapid, and accurate sensing platforms for screening various bio/chemical molecules.
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Affiliation(s)
- Letao Yang
- Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States
| | - Jin-Ho Lee
- Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States
- Department of Chemical and Biomolecular Engineering , Sogang University , Seoul , 121-742 , Korea
| | - Christopher Rathnam
- Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States
| | - Yannan Hou
- Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States
| | - Jeong-Woo Choi
- Department of Chemical and Biomolecular Engineering , Sogang University , Seoul , 121-742 , Korea
| | - Ki-Bum Lee
- Department of Chemistry and Chemical Biology , Rutgers University , Piscataway , New Jersey 08854 , United States
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Chung S, Akhtar MH, Benboudiaf A, Park D, Shim Y. A Sensor for Serotonin and Dopamine Detection in Cancer Cells Line Based on the Conducting Polymer−Pd Complex Composite. ELECTROANAL 2019. [DOI: 10.1002/elan.201900568] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Saeromi Chung
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST)Pusan National University Busan 46241 South Korea
| | - Mahmood H. Akhtar
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST)Pusan National University Busan 46241 South Korea
| | - A. Benboudiaf
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST)Pusan National University Busan 46241 South Korea
| | - Deog‐Su Park
- Institute of BioPhysio Sensor Technology (IBST)Pusan National University Busan 46241 South Korea
| | - Yoon‐Bo Shim
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST)Pusan National University Busan 46241 South Korea
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