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Khristoforova Y, Bratchenko L, Bratchenko I. Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review. Int J Mol Sci 2023; 24:15605. [PMID: 37958586 PMCID: PMC10647591 DOI: 10.3390/ijms242115605] [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: 10/04/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Raman spectroscopy is a widely developing approach for noninvasive analysis that can provide information on chemical composition and molecular structure. High chemical specificity calls for developing different medical diagnostic applications based on Raman spectroscopy. This review focuses on the Raman-based techniques used in medical diagnostics and provides an overview of such techniques, possible areas of their application, and current limitations. We have reviewed recent studies proposing conventional Raman spectroscopy and surface-enhanced Raman spectroscopy for rapid measuring of specific biomarkers of such diseases as cardiovascular disease, cancer, neurogenerative disease, and coronavirus disease (COVID-19). As a result, we have discovered several most promising Raman-based applications to identify affected persons by detecting some significant spectral features. We have analyzed these approaches in terms of their potentially diagnostic power and highlighted the remaining challenges and limitations preventing their translation into clinical settings.
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Affiliation(s)
| | | | - Ivan Bratchenko
- Department of Laser and Biotechnical Systems, Samara National Research University, 34 Moskovskoye Shosse, Samara 443086, Russia; (Y.K.)
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2
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Goulart ACC, Zângaro RA, Carvalho HC, Lednev IK, Silveira L. Diagnosing COVID-19 in nasopharyngeal secretion through Raman spectroscopy: a feasibility study. Lasers Med Sci 2023; 38:210. [PMID: 37698685 DOI: 10.1007/s10103-023-03871-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 08/29/2023] [Indexed: 09/13/2023]
Abstract
Since the beginning of the COVID-19 pandemic, the scientific community has sought to develop fast and accurate techniques for detecting the SARS-CoV-2 virus. Raman spectroscopy is a promising technique for diagnosing COVID-19 through serum samples. In the present study, the diagnosis of COVID-19 through nasopharyngeal secretion has been proposed. Raman spectra from nasopharyngeal secretion samples (15 Control, negative and 12 COVID-19, positive, assayed by immunofluorescence antigen test) were obtained in triplicate in a dispersive Raman spectrometer (830 nm, 350 mW), accounting for a total of 80 spectra. Using principal component analysis (PCA) the main spectral differences between the Control and COVID-19 samples were attributed to N and S proteins from the virus in the COVID-19 group. Features assigned to mucin (serine, threonine and proline amino acids) were observed in the Control group. A binary model based on partial least squares discriminant analysis (PLS-DA) differentiated COVID-19 versus Control samples with accuracy of 91%, sensitivity of 80% and specificity of 100%. Raman spectroscopy has a great potential for becoming a technique of choice for rapid and label-free evaluation of nasopharyngeal secretion for COVID-19 diagnosis.
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Affiliation(s)
| | - Renato Amaro Zângaro
- Universidade Anhembi Morumbi - UAM, R. Casa do Ator, 275, São Paulo, SP, 04546-001, Brazil
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
| | - Henrique Cunha Carvalho
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
- Federal University of Technology - Paraná - UTFPR, Via Marginal Rosalina Maria dos Santos, 1233, Bl. B, Campo Mourão, PR, 87301-899, Brazil
| | - Igor K Lednev
- Department of Chemistry, University at Albany - SUNY, 1400 Washington Av., Albany, NY, 12222, USA
| | - Landulfo Silveira
- Universidade Anhembi Morumbi - UAM, R. Casa do Ator, 275, São Paulo, SP, 04546-001, Brazil.
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil.
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3
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Lukose J, Barik AK, George SD, Murukeshan VM, Chidangil S. Raman spectroscopy for viral diagnostics. Biophys Rev 2023; 15:199-221. [PMID: 37113565 PMCID: PMC10088700 DOI: 10.1007/s12551-023-01059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 03/24/2023] [Indexed: 04/29/2023] Open
Abstract
Raman spectroscopy offers the potential for fingerprinting biological molecules at ultra-low concentration and therefore has potential for the detection of viruses. Here we review various Raman techniques employed for the investigation of viruses. Different Raman techniques are discussed including conventional Raman spectroscopy, surface-enhanced Raman spectroscopy, Raman tweezer, tip-enhanced Raman Spectroscopy, and coherent anti-Stokes Raman scattering. Surface-enhanced Raman scattering can play an essential role in viral detection by multiplexing nanotechnology, microfluidics, and machine learning for ensuring spectral reproducibility and efficient workflow in sample processing and detection. The application of these techniques to diagnose the SARS-CoV-2 virus is also reviewed. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s12551-023-01059-4.
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Affiliation(s)
- Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - Sajan D. George
- Centre for Applied Nanosciences, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - V. M. Murukeshan
- Centre for Optical and Laser Engineering, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore, Singapore
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
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4
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Mostafa M, Barhoum A, Sehit E, Gewaid H, Mostafa E, Omran MM, Abdalla MS, Abdel-Haleem FM, Altintas Z, Forster RJ. Current trends in COVID-19 diagnosis and its new variants in physiological fluids: Surface antigens, antibodies, nucleic acids, and RNA sequencing. Trends Analyt Chem 2022; 157:116750. [PMID: 36060607 PMCID: PMC9425703 DOI: 10.1016/j.trac.2022.116750] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/21/2022] [Accepted: 07/24/2022] [Indexed: 12/15/2022]
Abstract
Rapid, highly sensitive, and accurate virus circulation monitoring techniques are critical to limit the spread of the virus and reduce the social and economic burden. Therefore, point-of-use diagnostic devices have played a critical role in addressing the outbreak of COVID-19 (SARS-CoV-2) viruses. This review provides a comprehensive overview of the current techniques developed for the detection of SARS-CoV-2 in various body fluids (e.g., blood, urine, feces, saliva, tears, and semen) and considers the mutations (i.e., Alpha, Beta, Gamma, Delta, Omicron). We classify and comprehensively discuss the detection methods depending on the biomarker measured (i.e., surface antigen, antibody, and nucleic acid) and the measurement techniques such as lateral flow immunoassay (LFIA), enzyme-linked immunosorbent assay (ELISA), reverse transcriptase-polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), microarray analysis, clustered regularly interspaced short palindromic repeats (CRISPR) and biosensors. Finally, we addressed the challenges of rapidly identifying emerging variants, detecting the virus in the early stages of infection, the detection sensitivity, selectivity, and specificity, and commented on how these challenges can be overcome in the future.
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Affiliation(s)
- Menna Mostafa
- NanoStruc Research Group, Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Ahmed Barhoum
- National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland
| | - Ekin Sehit
- Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany
- Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany
| | - Hossam Gewaid
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, 152-160 Pearse St, Dublin, D02R590, Ireland
| | - Eslam Mostafa
- Borg Pharmaceutical Industries, Refaat Hassan St, Al Abageyah, El-Khalifa, Cairo Governorate, 16, Egypt
| | - Mohamed M Omran
- Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Mohga S Abdalla
- Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Fatehy M Abdel-Haleem
- Chemistry Department, Faculty of Science, Cairo University, 12613, Giza, Egypt
- Center for Hazards Mitigation, Environmental Studies and Research (CHMESR), Cairo University, 12613, Giza, Egypt
| | - Zeynep Altintas
- Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany
- Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany
| | - Robert J Forster
- National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland
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5
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Zhang D, Guo Y, Zhang L, Wang Y, Peng S, Duan S, Geng L, Zhang X, Wang W, Yang M, Wu G, Chen J, Feng Z, Wang X, Wu Y, Jiang H, Zhang Q, Sun J, Li S, He Y, Xiao M, Xu Y, Wang H, Liu P, Zhou Q, Luo H. Integrated System for On-Site Rapid and Safe Screening of COVID-19. Anal Chem 2022; 94:13810-13819. [PMID: 36184789 PMCID: PMC9578365 DOI: 10.1021/acs.analchem.2c02337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022]
Abstract
Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we established an integrated system, which incorporates a machine-learning-based Fourier transform infrared spectroscopy technique for rapid COVID-19 screening and air-plasma-based disinfection modules to prevent potential secondary infections. A partial least-squares discrimination analysis and a convolutional neural network model were built using the collected infrared spectral dataset containing 857 training serum samples. Furthermore, the sensitivity, specificity, and prediction accuracy could all reach over 94% from the results of the field test regarding 968 blind testing samples. Additionally, the disinfection modules achieved an inactivation efficiency of 99.9% for surface and airborne tested bacteria. The proposed system is conducive and promising for point-of-care and on-site COVID-19 screening in the mass population.
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Affiliation(s)
- Dongheyu Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yuntao Guo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Liyang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yao Wang
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Siqi Peng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Simeng Duan
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Lin Geng
- JINSP
Co., Ltd., Beijing100083, China
| | | | - Wei Wang
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Mengjie Yang
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Guizhen Wu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Jiayi Chen
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Zihao Feng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Xinyuan Wang
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Yue Wu
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Haotian Jiang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Qikang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Jingjun Sun
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Shenwei Li
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Yuping He
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Meng Xiao
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Yingchun Xu
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | | | - Peipei Liu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Qun Zhou
- Department
of Chemistry, Tsinghua University, Beijing100084, China
| | - Haiyun Luo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
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6
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Spectroscopic methods for COVID-19 detection and early diagnosis. Virol J 2022; 19:152. [PMID: 36138463 PMCID: PMC9502632 DOI: 10.1186/s12985-022-01867-2] [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: 04/16/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022] Open
Abstract
The coronavirus pandemic is a worldwide hazard that poses a threat to millions of individuals throughout the world. This pandemic is caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), which was initially identified in Wuhan, China's Hubei provincial capital, and has since spread throughout the world. According to the World Health Organization's Weekly Epidemiological Update, there were more than 250 million documented cases of coronavirus infections globally, with five million fatalities. Early detection of coronavirus does not only reduce the spread of the virus, but it also increases the chance of curing the infection. Spectroscopic techniques have been widely used in the early detection and diagnosis of COVID-19 using Raman, Infrared, mass spectrometry and fluorescence spectroscopy. In this review, the reported spectroscopic methods for COVID-19 detection were discussed with emphasis on the practical aspects, limitations and applications.
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7
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Goulart ACC, Silveira L, Carvalho HC, Dorta CB, Pacheco MTT, Zângaro RA. Diagnosing COVID-19 in human serum using Raman spectroscopy. Lasers Med Sci 2022; 37:2217-2226. [PMID: 35028768 DOI: 10.1101/2021.08.09.21261798] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/03/2021] [Indexed: 05/22/2023]
Abstract
This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.
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Affiliation(s)
| | - Landulfo Silveira
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil.
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil.
| | - Henrique Cunha Carvalho
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
| | | | - Marcos Tadeu T Pacheco
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil
| | - Renato Amaro Zângaro
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
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8
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Goulart ACC, Silveira L, Carvalho HC, Dorta CB, Pacheco MTT, Zângaro RA. Diagnosing COVID-19 in human serum using Raman spectroscopy. Lasers Med Sci 2022; 37:2217-2226. [PMID: 35028768 PMCID: PMC8758209 DOI: 10.1007/s10103-021-03488-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/03/2021] [Indexed: 02/06/2023]
Abstract
This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.
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Affiliation(s)
| | - Landulfo Silveira
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil. .,Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil.
| | - Henrique Cunha Carvalho
- Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
| | | | - Marcos Tadeu T Pacheco
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil
| | - Renato Amaro Zângaro
- Universidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil.,Center for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil
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