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Barshutina M, Arsenin A, Volkov V. SERS analysis of single cells and subcellular components: A review. Heliyon 2024; 10:e37396. [PMID: 39315187 PMCID: PMC11417266 DOI: 10.1016/j.heliyon.2024.e37396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/12/2024] [Accepted: 09/03/2024] [Indexed: 09/25/2024] Open
Abstract
SERS is a rapidly advancing and non-destructive technique that has been proven to be more reliable and convenient than other traditional analytical methods. Due to its sensitivity and specificity, this technique is earning its place as a routine and powerful tool in biological and medical studies, especially for the analysis of living cells and subcellular components. This paper reviewed the research progress of single-cell SERS that has been made in the last few years and discussed challenges and future perspectives of this technique. The reviewed SERS platforms have been categorized according to their nature into the following types: (1) colloid-based, substrate-based, or hybrid; (2) ligand-based or ligand-free, and (3) label-based or label-free. The advantages and disadvantages of each type and their potential applications in various fields are thoroughly discussed.
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Affiliation(s)
- M. Barshutina
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - A. Arsenin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Laboratory of Advanced Functional Materials, Yerevan State University, Yerevan, Armenia
| | - V. Volkov
- Laboratory of Advanced Functional Materials, Yerevan State University, Yerevan, Armenia
- Emerging Technologies Research Center, XPANCEO, Dubai, United Arab Emirates
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2
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Maita F, Maiolo L, Lucarini I, Del Rio De Vicente JI, Sciortino A, Ledda M, Mussi V, Lisi A, Convertino A. Revealing Low Amplitude Signals of Neuroendocrine Cells through Disordered Silicon Nanowires-Based Microelectrode Array. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301925. [PMID: 37357140 PMCID: PMC10460871 DOI: 10.1002/advs.202301925] [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: 03/24/2023] [Revised: 06/06/2023] [Indexed: 06/27/2023]
Abstract
Today, the key methodology to study in vitro or in vivo electrical activity in a population of electrogenic cells, under physiological or pathological conditions, is by using microelectrode array (MEA). While significant efforts have been devoted to develop nanostructured MEAs for improving the electrophysiological investigation in neurons and cardiomyocytes, data on the recording of the electrical activity from neuroendocrine cells with MEA technology are scarce owing to their weaker electrical signals. Disordered silicon nanowires (SiNWs) for developing a MEA that, combined with a customized acquisition board, successfully capture the electrical signals generated by the corticotrope AtT-20 cells as a function of the extracellular calcium (Ca2+ ) concentration are reported. The recorded signals show a shape that clearly resembles the action potential waveform by suggesting a natural membrane penetration of the SiNWs. Additionally, the generation of synchronous signals observed under high Ca2+ content indicates the occurrence of a collective behavior in the AtT-20 cell population. This study extends the usefulness of MEA technology to the investigation of the electrical communication in cells of the pituitary gland, crucial in controlling several essential human functions, and provides new perspectives in recording with MEA the electrical activity of excitable cells.
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Affiliation(s)
- Francesco Maita
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Luca Maiolo
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Ivano Lucarini
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | | | - Antonio Sciortino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Mario Ledda
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Valentina Mussi
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Antonella Lisi
- Institute of Translational PharmacologyNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
| | - Annalisa Convertino
- Institute for Microelectronics and MicrosystemsNational Research CouncilVia Fosso del Cavaliere 100Rome00133Italy
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Lancia G, Durastanti C, Spitoni C, De Benedictis I, Sciortino A, Cirillo ENM, Ledda M, Lisi A, Convertino A, Mussi V. Learning models for classifying Raman spectra of genomic DNA from tumor subtypes. Sci Rep 2023; 13:11370. [PMID: 37452161 PMCID: PMC10349119 DOI: 10.1038/s41598-023-37303-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
An early and accurate detection of different subtypes of tumors is crucial for an effective guidance to personalized therapy and in predicting the ability of tumor to metastasize. Here we exploit the Surface Enhanced Raman Scattering (SERS) platform, based on disordered silver coated silicon nanowires (Ag/SiNWs), to efficiently discriminate genomic DNA of different subtypes of melanoma and colon tumors. The diagnostic information is obtained by performing label free Raman maps of the dried drops of DNA solutions onto the Ag/NWs mat and leveraging the classification ability of learning models to reveal the specific and distinct physico-chemical interaction of tumor DNA molecules with the Ag/NW, here supposed to be partly caused by a different DNA methylation degree.
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Affiliation(s)
- Giacomo Lancia
- Mathematical Institute, Utrecht University, Budapestlaan 6, 3584 CD, Utrecht, The Netherlands
| | - Claudio Durastanti
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy.
| | - Cristian Spitoni
- Mathematical Institute, Utrecht University, Budapestlaan 6, 3584 CD, Utrecht, The Netherlands
| | - Ilaria De Benedictis
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy
| | - Antonio Sciortino
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Emilio N M Cirillo
- Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, via A. Scarpa 16, 00161, Rome, Italy
| | - Mario Ledda
- Institute of Translational Pharmacology, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Antonella Lisi
- Institute of Translational Pharmacology, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Annalisa Convertino
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
| | - Valentina Mussi
- Institute for Microelectronics and Microsystems, CNR, via del Fosso del Cavaliere, 100, Rome, Italy
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Lin DY, Yu CY, Ku CA, Chung CK. Design, Fabrication, and Applications of SERS Substrates for Food Safety Detection: Review. MICROMACHINES 2023; 14:1343. [PMID: 37512654 PMCID: PMC10385374 DOI: 10.3390/mi14071343] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023]
Abstract
Sustainable and safe food is an important issue worldwide, and it depends on cost-effective analysis tools with good sensitivity and reality. However, traditional standard chemical methods of food safety detection, such as high-performance liquid chromatography (HPLC), gas chromatography (GC), and tandem mass spectrometry (MS), have the disadvantages of high cost and long testing time. Those disadvantages have prevented people from obtaining sufficient risk information to confirm the safety of their products. In addition, food safety testing, such as the bioassay method, often results in false positives or false negatives due to little rigor preprocessing of samples. So far, food safety analysis currently relies on the enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), HPLC, GC, UV-visible spectrophotometry, and MS, all of which require significant time to train qualified food safety testing laboratory operators. These factors have hindered the development of rapid food safety monitoring systems, especially in remote areas or areas with a relative lack of testing resources. Surface-enhanced Raman spectroscopy (SERS) has emerged as one of the tools of choice for food safety testing that can overcome these dilemmas over the past decades. SERS offers advantages over chromatographic mass spectrometry analysis due to its portability, non-destructive nature, and lower cost implications. However, as it currently stands, Raman spectroscopy is a supplemental tool in chemical analysis, reinforcing and enhancing the completeness and coverage of the food safety analysis system. SERS combines portability with non-destructive and cheaper detection costs to gain an advantage over chromatographic mass spectrometry analysis. SERS has encountered many challenges in moving toward regulatory applications in food safety, such as quantitative accuracy, poor reproducibility, and instability of large molecule detection. As a result, the reality of SERS, as a screening tool for regulatory announcements worldwide, is still uncommon. In this review article, we have compiled the current designs and fabrications of SERS substrates for food safety detection to unify all the requirements and the opportunities to overcome these challenges. This review is expected to improve the interest in the sensing field of SERS and facilitate the SERS applications in food safety detection in the future.
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Affiliation(s)
- Ding-Yan Lin
- Department of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan
| | - Chung-Yu Yu
- Department of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan
| | - Chin-An Ku
- Department of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan
| | - Chen-Kuei Chung
- Department of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan
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Mussi V, Convertino A, Lisi A. Editorial for the Special Issue on Nanostructured Surfaces and Devices for Biomedical Applications. MICROMACHINES 2022; 13:2094. [PMID: 36557393 PMCID: PMC9782862 DOI: 10.3390/mi13122094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The ability to control and modify the surface topography of materials at the nanoscale, which produces features with a comparable size to that of biological entities, so as to effectively probe and influence processes at both the cellular and the molecular level, has facilitated incredible possibilities in the fields of biomedicine, biosensing, and diagnostics [...].
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Affiliation(s)
- Valentina Mussi
- IMM CNR, Institute of Microelectronics and Microsystems, National Research Council, 00133 Rome, Italy
| | - Annalisa Convertino
- IMM CNR, Institute of Microelectronics and Microsystems, National Research Council, 00133 Rome, Italy
| | - Antonella Lisi
- IFT CNR, Institute of Translational Pharmacology, National Research Council, 00133 Rome, Italy
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Durastanti C, Cirillo ENM, De Benedictis I, Ledda M, Sciortino A, Lisi A, Convertino A, Mussi V. Statistical Classification for Raman Spectra of Tumoral Genomic DNA. MICROMACHINES 2022; 13:mi13091388. [PMID: 36144012 PMCID: PMC9503739 DOI: 10.3390/mi13091388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 05/14/2023]
Abstract
We exploit Surface-Enhanced Raman Scattering (SERS) to investigate aqueous droplets of genomic DNA deposited onto silver-coated silicon nanowires, and we show that it is possible to efficiently discriminate between spectra of tumoral and healthy cells. To assess the robustness of the proposed technique, we develop two different statistical approaches, one based on the Principal Components Analysis of spectral data and one based on the computation of the ℓ2 distance between spectra. Both methods prove to be highly efficient, and we test their accuracy via the Cohen's κ statistics. We show that the synergistic combination of the SERS spectroscopy and the statistical analysis methods leads to efficient and fast cancer diagnostic applications allowing rapid and unexpansive discrimination between healthy and tumoral genomic DNA alternative to the more complex and expensive DNA sequencing.
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Affiliation(s)
- Claudio Durastanti
- Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma, Via A. Scarpa 16, 00161 Roma, Italy
- Correspondence:
| | - Emilio N. M. Cirillo
- Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma, Via A. Scarpa 16, 00161 Roma, Italy
| | - Ilaria De Benedictis
- Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma, Via A. Scarpa 16, 00161 Roma, Italy
| | - Mario Ledda
- Institute of Translational Pharmacology, CNR, Via del Fosso del Cavaliere, 00133 Roma, Italy
| | - Antonio Sciortino
- Institute for Microelectronics and Microsystems, CNR, Via del Fosso del Cavaliere, 00133 Roma, Italy
| | - Antonella Lisi
- Institute of Translational Pharmacology, CNR, Via del Fosso del Cavaliere, 00133 Roma, Italy
| | - Annalisa Convertino
- Institute for Microelectronics and Microsystems, CNR, Via del Fosso del Cavaliere, 00133 Roma, Italy
| | - Valentina Mussi
- Institute for Microelectronics and Microsystems, CNR, Via del Fosso del Cavaliere, 00133 Roma, Italy
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Label-Free Morpho-Molecular Imaging for Studying the Differential Interaction of Black Phosphorus with Tumor Cells. NANOMATERIALS 2022; 12:nano12121994. [PMID: 35745333 PMCID: PMC9227604 DOI: 10.3390/nano12121994] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/05/2022] [Accepted: 06/07/2022] [Indexed: 12/02/2022]
Abstract
Black phosphorus nanosheets (2D BP) are emerging as very promising, highly selective chemotherapeutic agents due to their fast degradation in the intracellular matrix of cancer cells. Here, optical diffraction tomography (ODT) and Raman spectroscopy were exploited as a powerful label-free approach to achieve integrated insights into the processes accompanying the administration of exfoliated 2D BP flakes in human prostatic adenocarcinoma and normal human prostate epithelial cells. Our ODT experiments provided unambiguous visualization of the 2D BP internalization in cancer cells and the morphological modifications of those cells in the apoptotic phase. The cellular internalization and damaging occurred, respectively, 18 h and 36–48 h after the 2D BP administration. Changes in the chemical properties of the internalized 2D BP flakes were monitored by Raman spectroscopy. Interestingly, a fast oxidation process of the 2D BP flakes was activated in the intracellular matrix of the cancer cells after 24 h of incubation. This was in sharp contrast to the low 2D BP uptake and minimal chemical changes observed in the normal cells. Along with the understanding of the 2D BP fate in the cancer cells, the proposed label-free morpho-molecular approach offers a powerful, rapid tool to study the pharmacokinetic properties of engineered nanomaterials in preclinical research.
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Mussi V, Ledda M, Convertino A, Lisi A. Raman Mapping of Biological Systems Interacting with a Disordered Nanostructured Surface: A Simple and Powerful Approach to the Label-Free Analysis of Single DNA Bases. MICROMACHINES 2021; 12:mi12030264. [PMID: 33806524 PMCID: PMC8000830 DOI: 10.3390/mi12030264] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 02/27/2021] [Accepted: 03/01/2021] [Indexed: 11/16/2022]
Abstract
This article demonstrates the possibility to use a novel powerful approach based on Raman mapping of analyte solutions drop casted on a disordered array of Ag covered silicon nanowires (Ag/SiNWs), to identify the characteristic spectral signal of the four DNA bases, adenine (A), thymine (T), cytosine (C), and guanine (G), at concentration as low as 10 ng/µL, and to study their specific way of interacting with the nanostructured substrate. The results show a distinctive and amplified interaction of guanine, the base that is most susceptible to oxidation, with the nanostructured surface. Our findings explain the recently revealed diverse behaviour of cancer and normal DNA deposited on the same Ag/SiNWs, which is ascribed to mechanical deformation and base lesions present on the oxidised DNA molecule backbone and causes detectable variation in the Raman signal, usable for diagnostic purposes. The notable bio-analytical capability of the presented platform, and its sensitivity to the molecule mechanical conformation at the single-base level, thus provides a new reliable, rapid, label-free DNA diagnostic methodology alternative to more sophisticated and expensive sequencing ones.
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Affiliation(s)
- Valentina Mussi
- Institute for Microelectronics and Microsystems, National Research Council, IMM-CNR, 00133 Rome, Italy;
- Correspondence:
| | - Mario Ledda
- Institute of Translational Pharmacology, National Research Council, IFT-CNR, 00133 Rome, Italy; (M.L.); (A.L.)
| | - Annalisa Convertino
- Institute for Microelectronics and Microsystems, National Research Council, IMM-CNR, 00133 Rome, Italy;
| | - Antonella Lisi
- Institute of Translational Pharmacology, National Research Council, IFT-CNR, 00133 Rome, Italy; (M.L.); (A.L.)
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Norouz Dizaji A, Simsek Ozek N, Aysin F, Calis A, Yilmaz A, Yilmaz M. Combining vancomycin-modified gold nanorod arrays and colloidal nanoparticles as a sandwich model for the discrimination of Gram-positive bacteria and their detection via surface-enhanced Raman spectroscopy (SERS). Analyst 2021; 146:3642-3653. [DOI: 10.1039/d1an00321f] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
This study reports the development of a highly sensitive antibiotic-based discrimination and sensor platform for the detection of Gram-positive bacteria through surface-enhanced Raman spectroscopy (SERS).
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Affiliation(s)
- Araz Norouz Dizaji
- East Anatolia High Technology Application and Research Center (DAYTAM)
- Ataturk University
- 25240 Erzurum
- Turkey
- Department of Chemical Engineering
| | - Nihal Simsek Ozek
- East Anatolia High Technology Application and Research Center (DAYTAM)
- Ataturk University
- 25240 Erzurum
- Turkey
- Department of Biology
| | - Ferhunde Aysin
- East Anatolia High Technology Application and Research Center (DAYTAM)
- Ataturk University
- 25240 Erzurum
- Turkey
- Department of Biology
| | - Ayfer Calis
- Department of Genetics and Bioengineering
- Giresun University
- 28200 Giresun
- Turkey
| | - Asli Yilmaz
- East Anatolia High Technology Application and Research Center (DAYTAM)
- Ataturk University
- 25240 Erzurum
- Turkey
- Department of Molecular Biology and Genetics
| | - Mehmet Yilmaz
- East Anatolia High Technology Application and Research Center (DAYTAM)
- Ataturk University
- 25240 Erzurum
- Turkey
- Department of Chemical Engineering
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