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Borenstein JT, Cummins G, Dutta A, Hamad E, Hughes MP, Jiang X, Lee HH, Lei KF, Tang XS, Zheng Y, Chen J. Bionanotechnology and bioMEMS (BNM): state-of-the-art applications, opportunities, and challenges. LAB ON A CHIP 2023; 23:4928-4949. [PMID: 37916434 DOI: 10.1039/d3lc00296a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
The development of micro- and nanotechnology for biomedical applications has defined the cutting edge of medical technology for over three decades, as advancements in fabrication technology developed originally in the semiconductor industry have been applied to solving ever-more complex problems in medicine and biology. These technologies are ideally suited to interfacing with life sciences, since they are on the scale lengths as cells (microns) and biomacromolecules (nanometers). In this paper, we review the state of the art in bionanotechnology and bioMEMS (collectively BNM), including developments and challenges in the areas of BNM, such as microfluidic organ-on-chip devices, oral drug delivery, emerging technologies for managing infectious diseases, 3D printed microfluidic devices, AC electrokinetics, flexible MEMS devices, implantable microdevices, paper-based microfluidic platforms for cellular analysis, and wearable sensors for point-of-care testing.
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Affiliation(s)
| | - Gerard Cummins
- School of Engineering, University of Birmingham, Edgbaston, B15 2TT, UK.
| | - Abhishek Dutta
- Department of Electrical & Computer Engineering, University of Connecticut, USA.
| | - Eyad Hamad
- Biomedical Engineering Department, School of Applied Medical Sciences, German Jordanian University, Amman, Jordan.
| | - Michael Pycraft Hughes
- Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, China.
| | - Hyowon Hugh Lee
- Weldon School of Biomedical Engineering, Center for Implantable Devices, Purdue University, West Lafayette, IN, USA.
| | | | | | | | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
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Oliveira MJ, Caetano S, Dalot A, Sabino F, Calmeiro TR, Fortunato E, Martins R, Pereira E, Prudêncio M, Byrne HJ, Franco R, Águas H. A simple polystyrene microfluidic device for sensitive and accurate SERS-based detection of infection by malaria parasites. Analyst 2023; 148:4053-4063. [PMID: 37529888 PMCID: PMC10440799 DOI: 10.1039/d3an00971h] [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: 06/14/2023] [Accepted: 07/27/2023] [Indexed: 08/03/2023]
Abstract
Early and accurate detection of infection by pathogenic microorganisms, such as Plasmodium, the causative agent of malaria, is critical for clinical diagnosis and ultimately determines the patient's outcome. We have combined a polystyrene-based microfluidic device with an immunoassay which utilises Surface-Enhanced Raman Spectroscopy (SERS) to detect malaria. The method can be easily translated to a point-of-care testing format and shows excellent sensitivity and specificity, when compared to the gold standard for laboratorial detection of Plasmodium infections. The device can be fabricated in less than 30 min by direct patterning on shrinkable polystyrene sheets of adaptable three-dimensional microfluidic chips. To validate the microfluidic system, samples of P. falciparum-infected red blood cell cultures were used. The SERS-based immunoassay enabled the detection of 0.0012 ± 0.0001% parasitaemia in a P. falciparum-infected red blood cell culture supernatant, an ∼7-fold higher sensitivity than that attained by most rapid diagnostic tests. Our approach successfully overcomes the main challenges of the current Plasmodium detection methods, including increased reproducibility, sensitivity, and specificity. Furthermore, our system can be easily adapted for detection of other pathogens and has excellent properties for early diagnosis of infectious diseases, a decisive step towards lowering their high burden on healthcare systems worldwide.
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Affiliation(s)
- Maria João Oliveira
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Soraia Caetano
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
| | - Ana Dalot
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Filipe Sabino
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Tomás R Calmeiro
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
| | - Elvira Fortunato
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
| | - Rodrigo Martins
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
| | - Eulália Pereira
- LAQV, REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal
| | - Miguel Prudêncio
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Camden Street, Dublin 8, Ireland
| | - Ricardo Franco
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Hugo Águas
- CENIMAT-i3N, Departamento de Ciência dos Materiais, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, and CEMOP/UNINOVA, 2829-516 Caparica, Portugal.
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Kongklad G, Chitaree R, Taechalertpaisarn T, Panvisavas N, Nuntawong N. Discriminant Analysis PCA-LDA Assisted Surface-Enhanced Raman Spectroscopy for Direct Identification of Malaria-Infected Red Blood Cells. Methods Protoc 2022; 5:mps5030049. [PMID: 35736550 PMCID: PMC9231316 DOI: 10.3390/mps5030049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/31/2022] [Accepted: 06/07/2022] [Indexed: 12/13/2022] Open
Abstract
Various methods for detecting malaria have been developed in recent years, each with its own set of advantages. These methods include microscopic, antigen-based, and molecular-based analysis of blood samples. This study aimed to develop a new, alternative procedure for clinical use by using a large data set of surface-enhanced Raman spectra to distinguish normal and infected red blood cells. PCA-LDA algorithms were used to produce models for separating P. falciparum (3D7)-infected red blood cells and normal red blood cells based on their Raman spectra. Both average normalized spectra and spectral imaging were considered. However, these initial spectra could hardly differentiate normal cells from the infected cells. Then, discrimination analysis was applied to assist in the classification and visualization of the different spectral data sets. The results showed a clear separation in the PCA-LDA coordinate. A blind test was also carried out to evaluate the efficiency of the PCA-LDA separation model and achieved a prediction accuracy of up to 80%. Considering that the PCA-LDA separation accuracy will improve when a larger set of training data is incorporated into the existing database, the proposed method could be highly effective for the identification of malaria-infected red blood cells.
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Affiliation(s)
- Gunganist Kongklad
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
| | - Ratchapak Chitaree
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
- Correspondence:
| | - Tana Taechalertpaisarn
- Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
| | - Nathinee Panvisavas
- Department of Plant, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
| | - Noppadon Nuntawong
- National Electronics and Computer Technology Center (NECTEC), 112 Thailand Science Park, Pathum Thani 12120, Thailand;
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Abstract
Blood cell analysis is essential for the diagnosis and identification of hematological malignancies. The use of digital microscopy systems has been extended in clinical laboratories. Super-resolution microscopy (SRM) has attracted wide attention in the medical field due to its nanoscale spatial resolution and high sensitivity. It is considered to be a potential method of blood cell analysis that may have more advantages than traditional approaches such as conventional optical microscopy and hematology analyzers in certain examination projects. In this review, we firstly summarize several common blood cell analysis technologies in the clinic, and analyze the advantages and disadvantages of these technologies. Then, we focus on the basic principles and characteristics of three representative SRM techniques, as well as the latest advances in these techniques for blood cell analysis. Finally, we discuss the developmental trend and possible research directions of SRM, and provide some discussions on further development of technologies for blood cell analysis.
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Baptista V, Peng WK, Minas G, Veiga MI, Catarino SO. Review of Microdevices for Hemozoin-Based Malaria Detection. BIOSENSORS 2022; 12:bios12020110. [PMID: 35200370 PMCID: PMC8870200 DOI: 10.3390/bios12020110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/04/2022] [Accepted: 02/06/2022] [Indexed: 05/21/2023]
Abstract
Despite being preventable and treatable, malaria still puts almost half of the world's population at risk. Thus, prompt, accurate and sensitive malaria diagnosis is crucial for disease control and elimination. Optical microscopy and immuno-rapid tests are the standard malaria diagnostic methods in the field. However, these are time-consuming and fail to detect low-level parasitemia. Biosensors and lab-on-a-chip devices, as reported to different applications, usually offer high sensitivity, specificity, and ease of use at the point of care. Thus, these can be explored as an alternative for malaria diagnosis. Alongside malaria infection inside the human red blood cells, parasites consume host hemoglobin generating the hemozoin crystal as a by-product. Hemozoin is produced in all parasite species either in symptomatic and asymptomatic individuals. Furthermore, hemozoin crystals are produced as the parasites invade the red blood cells and their content relates to disease progression. Hemozoin is, therefore, a unique indicator of infection, being used as a malaria biomarker. Herein, the so-far developed biosensors and lab-on-a-chip devices aiming for malaria detection by targeting hemozoin as a biomarker are reviewed and discussed to fulfil all the medical demands for malaria management towards elimination.
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Affiliation(s)
- Vitória Baptista
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal; (G.M.); (S.O.C.)
- LABBELS-Associate Laboratory, Braga/Guimarães, 4806-909 Guimarães, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057 Braga, Portugal;
- ICVS/3B’s-PT Government Associate Laboratory, Braga/Guimarães, 4806-909 Guimarães, Portugal
- Correspondence:
| | - Weng Kung Peng
- Songshan Lake Materials Laboratory, Building A1, University Innovation Park, Dongguan 523808, China;
| | - Graça Minas
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal; (G.M.); (S.O.C.)
- LABBELS-Associate Laboratory, Braga/Guimarães, 4806-909 Guimarães, Portugal
| | - Maria Isabel Veiga
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057 Braga, Portugal;
- ICVS/3B’s-PT Government Associate Laboratory, Braga/Guimarães, 4806-909 Guimarães, Portugal
| | - Susana O. Catarino
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal; (G.M.); (S.O.C.)
- LABBELS-Associate Laboratory, Braga/Guimarães, 4806-909 Guimarães, Portugal
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Diagnosis of Indigenous Non-Malarial Vector-Borne Infections from Malaria Negative Samples from Community and Rural Hospital Surveillance in Dhalai District, Tripura, North-East India. Diagnostics (Basel) 2022; 12:diagnostics12020362. [PMID: 35204453 PMCID: PMC8871021 DOI: 10.3390/diagnostics12020362] [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: 12/13/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 12/02/2022] Open
Abstract
The aetiology of non-malaria vector-borne diseases in malaria-endemic, forested, rural, and tribal-dominated areas of Dhalai, Tripura, in north-east India, was studied for the first time in the samples collected from malaria Rapid Diagnostic Kit negative febrile patients by door-to-door visits in the villages and primary health centres. Two hundred and sixty serum samples were tested for the Dengue NS1 antigen and the IgM antibodies of Dengue, Chikungunya, Scrub Typhus (ST), and Japanese Encephalitis (JE) during April 2019–March 2020. Fifteen Dengue, six JE, twelve Chikungunya, nine ST and three Leptospirosis, and mixed infections of three JE + Chikungunya, four Dengue + Chikungunya, three Dengue + JE + Chikungunya, one Dengue + Chikungunya + ST, and one Dengue + ST were found positive by IgM ELISA tests, and four for the Dengue NS1 antigen, all without any travel history. True prevalence values estimated for infections detected by Dengue IgM were 0.134 (95% CI: 0.08–0.2), Chikungunya were 0.084 (95% CI: 0.05–0.13), Scrub were 0.043 (95% CI: 0.01–0.09), and Japanese Encephalitis were 0.045 (95% CI: 0.02–0.09). Dengue and Chikungunya were associated significantly more with a younger age. There was a lack of a defined set of symptoms for any of the Dengue, Chikungunya, JE or ST infections, as indicated by the k-modes cluster analysis. Interestingly, most of these symptoms have an overlapping set with malaria; thereby, it becomes imperative that malaria and these non-malaria vector-borne disease diagnoses are made in a coordinated manner. Findings from this study call for advances in routine diagnostic procedures and the development of a protocol that can accommodate, currently, in practicing the rapid diagnosis of malaria and other vector-borne diseases, which is doable even in the resource-poor settings of rural hospitals and during community fever surveillance.
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Aggarwal S, Peng WK, Srivastava S. Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis. Diagnostics (Basel) 2021; 11:2222. [PMID: 34943459 PMCID: PMC8700291 DOI: 10.3390/diagnostics11122222] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/21/2021] [Accepted: 11/22/2021] [Indexed: 11/16/2022] Open
Abstract
Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor differentiation among parasite species, poor prognosis, and delayed treatment. The improvement necessary in diagnostic tools can be broadly grouped into two categories: technologies-driven and omics-driven progress over time. This article discusses the recent advancement in omics-based malaria for identifying the next generation biomarkers for a highly sensitive and specific assay with a rapid and antecedent prognosis of the disease. We summarize the state-of-the-art diagnostic technologies, the key challenges, opportunities, and emerging prospects of multi-omics-based sensors.
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Affiliation(s)
- Shalini Aggarwal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, Maharashtra, India;
| | - Weng Kung Peng
- Songshan Lake Materials Laboratory, Building A1, University Innovation Park, Dongguan 523808, China
- Precision Medicine-Engineering Group, International Iberian Nanotechnology Laboratory, 4715-330 Braga, Portugal
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, Maharashtra, India;
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Baptista V, Costa MS, Calçada C, Silva M, Gil JP, Veiga MI, Catarino SO. The Future in Sensing Technologies for Malaria Surveillance: A Review of Hemozoin-Based Diagnosis. ACS Sens 2021; 6:3898-3911. [PMID: 34735120 DOI: 10.1021/acssensors.1c01750] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Early and effective malaria diagnosis is vital to control the disease spread and to prevent the emergence of severe cases and death. Currently, malaria diagnosis relies on optical microscopy and immuno-rapid tests; however, these require a drop of blood, are time-consuming, or are not specific and sensitive enough for reliable detection of low-level parasitaemia. Thus, there is an urge for simpler, prompt, and accurate alternative diagnostic methods. Particularly, hemozoin has been increasingly recognized as an attractive biomarker for malaria detection. As the disease proliferates, parasites digest host hemoglobin, in the process releasing toxic haem that is detoxified into an insoluble crystal, the hemozoin, which accumulates along with infection progression. Given its magnetic, optical, and acoustic unique features, hemozoin has been explored for new label-free diagnostic methods. Thereby, herein, we review the hemozoin-based malaria detection methods and critically discuss their challenges and potential for the development of an ideal diagnostic device.
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Affiliation(s)
- Vitória Baptista
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3B’s − PT Government Associate Laboratory, 4805-017 Braga/Guimarães, Portugal
| | - Mariana S. Costa
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
| | - Carla Calçada
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3B’s − PT Government Associate Laboratory, 4805-017 Braga/Guimarães, Portugal
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal
| | - Miguel Silva
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3B’s − PT Government Associate Laboratory, 4805-017 Braga/Guimarães, Portugal
| | - José Pedro Gil
- Stockholm Malaria Center, Department of Microbiology and Tumour Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Maria Isabel Veiga
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- ICVS/3B’s − PT Government Associate Laboratory, 4805-017 Braga/Guimarães, Portugal
| | - Susana O. Catarino
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
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Dixon RV, Skaria E, Lau WM, Manning P, Birch-Machin MA, Moghimi SM, Ng KW. Microneedle-based devices for point-of-care infectious disease diagnostics. Acta Pharm Sin B 2021; 11:2344-2361. [PMID: 34150486 PMCID: PMC8206489 DOI: 10.1016/j.apsb.2021.02.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/25/2020] [Accepted: 01/28/2021] [Indexed: 02/08/2023] Open
Abstract
Recent infectious disease outbreaks, such as COVID-19 and Ebola, have highlighted the need for rapid and accurate diagnosis to initiate treatment and curb transmission. Successful diagnostic strategies critically depend on the efficiency of biological sampling and timely analysis. However, current diagnostic techniques are invasive/intrusive and present a severe bottleneck by requiring specialist equipment and trained personnel. Moreover, centralised test facilities are poorly accessible and the requirement to travel may increase disease transmission. Self-administrable, point-of-care (PoC) microneedle diagnostic devices could provide a viable solution to these problems. These miniature needle arrays can detect biomarkers in/from the skin in a minimally invasive manner to provide (near-) real-time diagnosis. Few microneedle devices have been developed specifically for infectious disease diagnosis, though similar technologies are well established in other fields and generally adaptable for infectious disease diagnosis. These include microneedles for biofluid extraction, microneedle sensors and analyte-capturing microneedles, or combinations thereof. Analyte sampling/detection from both blood and dermal interstitial fluid is possible. These technologies are in their early stages of development for infectious disease diagnostics, and there is a vast scope for further development. In this review, we discuss the utility and future outlook of these microneedle technologies in infectious disease diagnosis.
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Key Words
- AC, alternating current
- APCs, antigen-presenting cells
- ASSURED, affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free and deliverable to end-users
- Biomarker detection
- Biosensor
- CMOS, complementary metal-oxide semiconductor
- COVID, coronavirus disease
- COVID-19
- CSF, cerebrospinal fluid
- CT, computerised tomography
- CV, cyclic voltammetry
- DC, direct current
- DNA, deoxyribonucleic acid
- DPV, differential pulse voltammetry
- EBV, Epstein–Barr virus
- EDC/NHS, 1-ethyl-3-(3-dimethylaminoproply) carbodiimide/N-hydroxysuccinimide
- ELISA, enzyme-linked immunosorbent assay
- GOx, glucose oxidase
- HIV, human immunodeficiency virus
- HPLC, high performance liquid chromatography
- HRP, horseradish peroxidase
- IP, iontophoresis
- ISF, interstitial fluid
- IgG, immunoglobulin G
- Infectious disease
- JEV, Japanese encephalitis virus
- MN, microneedle
- Microneedle
- NA, nucleic acid
- OBMT, one-touch-activated blood multidiagnostic tool
- OPD, o-phenylenediamine
- PCB, printed circuit board
- PCR, polymerase chain reaction
- PDMS, polydimethylsiloxane
- PEDOT, poly(3,4-ethylenedioxythiophene)
- PNA, peptide nucleic acid
- PP, polyphenol
- PPD, poly(o-phenylenediamine)
- PoC, point-of-care
- Point-of-care diagnostics (PoC)
- SALT, skin-associated lymphoid tissue
- SAM, self-assembled monolayer
- SEM, scanning electron microscope
- SERS, surface-enhanced Raman spectroscopy
- SWV, square wave voltammetry
- Skin
- TB, tuberculosis
- UV, ultraviolet
- VEGF, vascular endothelial growth factor
- WHO, World Health Organisation
- cfDNA, cell-free deoxyribonucleic acid
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Affiliation(s)
- Rachael V. Dixon
- School of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
| | - Eldhose Skaria
- Wellcome Trust Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Wing Man Lau
- School of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
| | - Philip Manning
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
| | - Mark A. Birch-Machin
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
| | - S. Moein Moghimi
- School of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
| | - Keng Wooi Ng
- School of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
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Sazed SA, Kibria MG, Alam MS. An Optimized Real-Time qPCR Method for the Effective Detection of Human Malaria Infections. Diagnostics (Basel) 2021; 11:736. [PMID: 33919020 PMCID: PMC8142979 DOI: 10.3390/diagnostics11050736] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 11/24/2022] Open
Abstract
Polymerase chain reaction, although an expensive method for the detection of human Plasmodium spp., is still considered the finest for the diagnosis of malaria. The conventional diagnostic PCR is an inexpensive process but consumes a lot of time, reagents and lacks sensitivity. On the other hand, real-time PCR assays currently being used are mostly probe-based expensive methods and sometimes not feasible to detect all the species in a single amplification reaction condition. Here we have established a real-time PCR method that is time and cost effective with a single protocol to detect and distinguish five human Plasmodium species using the existing primers efficiently. The primers used here are being used in the conventional method and the sensitivity as well as specificity of this method has also been immensely improved (100%). The lower limit of detection for Plasmodium falciparum, Plasmodium vivax and Plasmodium malariae are 0.064 parasites/µL, 1.6 parasites/µL, and 0.32 parasites/µL respectively and no cross reactivity was observed. Besides, we have analyzed melt curves that can be used for further species confirmation and validation purposes using multiplex systems. This method, therefore, can be considered as an alternative to the existing lineup for molecular diagnosis of malaria in endemic countries.
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Affiliation(s)
| | | | - Mohammad Shafiul Alam
- Infectious Diseases Division, International Centre for Diarrheal Diseases Research, Bangladesh Mohakhali, Dhaka 1212, Bangladesh; (S.A.S.); (M.G.K.)
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Rosa BMG, Yang GZ. Portable Impedance Analyzer as a Rapid Screening Tool for Malaria: An Experimental Study With Culture and Blood Infected Samples by Early Forms of Plasmodium Falciparum. IEEE Trans Biomed Eng 2020; 67:3531-3541. [PMID: 32340933 DOI: 10.1109/tbme.2020.2990595] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Infection by the parasite of malaria is a serious healthcare problem for populations residing primarily in tropical and subtropical countries. Early detection of the disease is essential to reduce both the mortality rate and spreading of the disease in the infected areas. Current methods for malaria diagnosis still rely on microscopic analysis of blood smears, which is a time-consuming and expensive process, in addition of requiring trained examiners to perform the analysis. In this paper, we introduce a novel fast screening tool for malaria based on a portable blood impedance analyzer. The simultaneous multi-tone injection of current and voltage detection of the device allow reducing the screening time (order of seconds) while enhancing the differences in impedance signal registered among frequencies to increase parasitemia level discrimination. We went further to demonstrate the possibility of directly applying the device on blood samples collected from volunteers to distinguish between infected and non-infected samples. Minimum parasitemia level discriminated was 0.0078% (or, equivalently 390 parasites/μl), which closely approaches the international standard set to 200 parasites/μl. Finally, we also show the frequency dependency of ring-synchronized and unsynchronized blood samples, which can constitute the basis for development of a point-of-care and laboratory-free method to distinguish different stages of malaria infection in economic stagnated communities.
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Wang W, Dong RL, Gu D, He JA, Yi P, Kong SK, Ho HP, Loo J, Wang W, Wang Q. Antibody-free rapid diagnosis of malaria in whole blood with surface-enhanced Raman Spectroscopy using Nanostructured Gold Substrate. Adv Med Sci 2020; 65:86-92. [PMID: 31923771 DOI: 10.1016/j.advms.2019.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 04/12/2019] [Accepted: 11/15/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE The aim of this study is to establish a rapid antibody-free diagnostic method of malaria infection with Plasmodium falciparum and Plasmodium vivax in whole blood with Surface-enhanced Raman Spectroscopy using Nanostructured Gold Substrate. MATERIALS AND METHODS The blood samples collected from patients were first lysed and centrifuged before dropping on the gold nano-structure (AuNS) substrate. Malaria diagnosis was performed by detecting Raman peaks from Surface Enhanced Raman Spectroscopy (SERS) with a 532 nm laser excitation. RESULTS Raman peaks at 1370 cm-1, 1570 cm-1, and 1627 cm-1, known to have high specificity against interference from other mosquito-borne diseases such as Dengue and West Nile virus infection, were selected as the fingerprint markers associated with P. falciparum and P. vivax infection. The limit of detection was 10-5 dilution, corresponding to the concentration of parasitized blood cells of 100/mL. A total number of 25 clinical samples, including 5 from patients with P. falciparum infection, 10 with P. vivax infection and 10 from healthy volunteers, were evaluated to support its clinical practical use. The whole assay on malaria detection took 30 min to complete. CONCLUSIONS While the samples analyzed in this work have strong clinical relevance, we have clearly demonstrated that sensitive malaria detection using AuNS-SERS is a practical direction for rapid in-field diagnosis of malaria infection.
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Affiliation(s)
- Wei Wang
- Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Laboratory Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Rui-Ling Dong
- Shenzhen International Travel Health Care Center and Shenzhen Academy of Inspection and Quarantine, Shenzhen Customs District, Shenzhen, China
| | - Dayong Gu
- Department of Laboratory Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Jian-An He
- Shenzhen International Travel Health Care Center and Shenzhen Academy of Inspection and Quarantine, Shenzhen Customs District, Shenzhen, China
| | - Pin Yi
- Department of Laboratory Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Siu-Kai Kong
- Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Ho-Pui Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Jacky Loo
- Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
| | - Wen Wang
- Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Qian Wang
- Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Abstract
Malaria is major public health concerns which continues to claim the lives of more than 435,000 people each year. The challenges with anti-malarial drug resistance and detection of low parasitaemia forms an immediate barrier to achieve the fast-approaching United Nations Sustainable Development Goals of ending malaria epidemics by 2030. In this Opinion article, focusing on the recent published technologies, in particularly the nuclear magnetic resonance (NMR)-based diagnostic technologies, the authors offer their perspectives and highlight ways to bring these point-of-care technologies towards personalized medicine. To this end, they advocate an open sourcing initiative to rapidly close the gap between technological innovations and field implementation.
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Affiliation(s)
- Maria Isabel Veiga
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Weng Kung Peng
- Precision Medicine-Engineering Group, International Iberian Nanotechnology Laboratory, Braga, Portugal.
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Krampa FD, Aniweh Y, Kanyong P, Awandare GA. Recent Advances in the Development of Biosensors for Malaria Diagnosis. SENSORS (BASEL, SWITZERLAND) 2020; 20:E799. [PMID: 32024098 PMCID: PMC7038750 DOI: 10.3390/s20030799] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 12/19/2019] [Accepted: 12/24/2019] [Indexed: 02/07/2023]
Abstract
The impact of malaria on global health has continually prompted the need to develop more effective diagnostic strategies that could overcome deficiencies in accurate and early detection. In this review, we examine the various biosensor-based methods for malaria diagnostic biomarkers, namely; Plasmodium falciparum histidine-rich protein 2 (PfHRP-2), parasite lactate dehydrogenase (pLDH), aldolase, glutamate dehydrogenase (GDH), and the biocrystal hemozoin. The models that demonstrate a potential for field application have been discussed, looking at the fabrication and analytical performance characteristics, including (but not exclusively limited to): response time, sensitivity, detection limit, linear range, and storage stability, which are first summarized in a tabular form and then described in detail. The conclusion summarizes the state-of-the-art technologies applied in the field, the current challenges and the emerging prospects for malaria biosensors.
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Affiliation(s)
- Francis D. Krampa
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, P.O. Box LG 25, Legon, Accra, Ghana; (Y.A.); (P.K.); (G.A.A.)
- Department of Biochemistry, Cell & Molecular Biology, University of Ghana, P.O. Box LG 54, Legon, Accra, Ghana
| | - Yaw Aniweh
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, P.O. Box LG 25, Legon, Accra, Ghana; (Y.A.); (P.K.); (G.A.A.)
| | - Prosper Kanyong
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, P.O. Box LG 25, Legon, Accra, Ghana; (Y.A.); (P.K.); (G.A.A.)
- Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, UK
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, P.O. Box LG 25, Legon, Accra, Ghana; (Y.A.); (P.K.); (G.A.A.)
- Department of Biochemistry, Cell & Molecular Biology, University of Ghana, P.O. Box LG 54, Legon, Accra, Ghana
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15
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Mwanga EP, Minja EG, Mrimi E, Jiménez MG, Swai JK, Abbasi S, Ngowo HS, Siria DJ, Mapua S, Stica C, Maia MF, Olotu A, Sikulu-Lord MT, Baldini F, Ferguson HM, Wynne K, Selvaraj P, Babayan SA, Okumu FO. Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis. Malar J 2019; 18:341. [PMID: 31590669 PMCID: PMC6781347 DOI: 10.1186/s12936-019-2982-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 09/28/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). This study investigated whether mid-infrared (MIR) spectroscopy coupled with supervised machine learning could constitute an alternative method for rapid malaria screening, directly from dried human blood spots. METHODS Filter papers containing dried blood spots (DBS) were obtained from a cross-sectional malaria survey in 12 wards in southeastern Tanzania in 2018/19. The DBS were scanned using attenuated total reflection-Fourier Transform Infrared (ATR-FTIR) spectrometer to obtain high-resolution MIR spectra in the range 4000 cm-1 to 500 cm-1. The spectra were cleaned to compensate for atmospheric water vapour and CO2 interference bands and used to train different classification algorithms to distinguish between malaria-positive and malaria-negative DBS papers based on PCR test results as reference. The analysis considered 296 individuals, including 123 PCR-confirmed malaria positives and 173 negatives. Model training was done using 80% of the dataset, after which the best-fitting model was optimized by bootstrapping of 80/20 train/test-stratified splits. The trained models were evaluated by predicting Plasmodium falciparum positivity in the 20% validation set of DBS. RESULTS Logistic regression was the best-performing model. Considering PCR as reference, the models attained overall accuracies of 92% for predicting P. falciparum infections (specificity = 91.7%; sensitivity = 92.8%) and 85% for predicting mixed infections of P. falciparum and Plasmodium ovale (specificity = 85%, sensitivity = 85%) in the field-collected specimen. CONCLUSION These results demonstrate that mid-infrared spectroscopy coupled with supervised machine learning (MIR-ML) could be used to screen for malaria parasites in human DBS. The approach could have potential for rapid and high-throughput screening of Plasmodium in both non-clinical settings (e.g., field surveys) and clinical settings (diagnosis to aid case management). However, before the approach can be used, we need additional field validation in other study sites with different parasite populations, and in-depth evaluation of the biological basis of the MIR signals. Improving the classification algorithms, and model training on larger datasets could also improve specificity and sensitivity. The MIR-ML spectroscopy system is physically robust, low-cost, and requires minimum maintenance.
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Affiliation(s)
- Emmanuel P Mwanga
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
| | - Elihaika G Minja
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | - Emmanuel Mrimi
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | | | - Johnson K Swai
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | - Said Abbasi
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | - Halfan S Ngowo
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Doreen J Siria
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | - Salum Mapua
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
- School of Life Sciences, University of Keele, Keele, Staffordshire, ST5 5BG, UK
| | - Caleb Stica
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania
| | - Marta F Maia
- KEMRI Wellcome Trust Research Programme, P.O. Box 230, Kilifi, 80108, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Old Road Campus Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Ally Olotu
- KEMRI Wellcome Trust Research Programme, P.O. Box 230, Kilifi, 80108, Kenya
- Interventions and Clinical Trials Department, Ifakara Health Institute, Bagamoyo, Tanzania
| | - Maggy T Sikulu-Lord
- School of Public Health, University of Queensland, Saint Lucia, Australia
- Department of Mathematics, Statistics and Computer Science, Marquette University, Wisconsin, USA
| | - Francesco Baldini
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Heather M Ferguson
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Klaas Wynne
- School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK
| | | | - Simon A Babayan
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Fredros O Okumu
- Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.
- School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
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16
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Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9071448] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Diagnosis is the key component in disease elimination to improve global health. However, there is a tremendous need for diagnostic innovation for neglected tropical diseases that largely consist of mosquito-borne infections and bacterial infections. Early diagnosis of these infectious diseases is critical but challenging because the biomarkers are present at low concentrations, demanding bioanalytical techniques that can deliver high sensitivity with ensured specificity. Owing to the plasmonic nanomaterials-enabled high detection sensitivities, even up to single molecules, surface-enhanced Raman spectroscopy (SERS) has gained attention as an optical analytical tool for early disease biomarker detection. In this mini-review, we highlight the SERS-based assay development tailored to detect key types of biomarkers for mosquito-borne and bacterial infections. We discuss in detail the variations of SERS-based techniques that have developed to afford qualitative and quantitative disease biomarker detection in a more accurate, affordable, and field-transferable manner. Current and emerging challenges in the advancement of SERS-based technologies from the proof-of-concept phase to the point-of-care phase are also briefly discussed.
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17
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Zavatski S, Khinevich N, Girel K, Redko S, Kovalchuk N, Komissarov I, Lukashevich V, Semak I, Mamatkulov K, Vorobyeva M, Arzumanyan G, Bandarenka H. Surface Enhanced Raman Spectroscopy of Lactoferrin Adsorbed on Silvered Porous Silicon Covered with Graphene. BIOSENSORS 2019; 9:E34. [PMID: 30823455 PMCID: PMC6468514 DOI: 10.3390/bios9010034] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/17/2019] [Accepted: 02/20/2019] [Indexed: 12/16/2022]
Abstract
We registered surface enhanced Raman scattering (SERS) spectra of the human lactoferrin molecules adsorbed on a silvered porous silicon (por-Si) from 10-6⁻10-18 M solutions. It was found that the por-Si template causes a negative surface potential of silver particles and their chemical resistivity to oxidation. These properties provided to attract positively charged lactoferrin molecules and prevent their interaction with metallic particles upon 473 nm laser excitation. The SERS spectra of lactoferrin adsorbed from 10-6 M solution were rather weak but a decrease of the concentration to 10-10 M led to an enormous growth of the SERS signal. This effect took place as oligomers of lactoferrin were broken down to monomeric units while its concentration was reduced. Oligomers are too large for a uniform overlap with electromagnetic field from silver particles. They cannot provide an intensive SERS signal from the top part of the molecules in contrast to monomers that can be completely covered by the electromagnetic field. The SERS spectra of lactoferrin at the 10-14 and 10-16 M concentrations were less intensive and started to change due to increasing contribution from the laser burned molecules. To prevent overheating the analyte molecules on the silvered por-Si were protected with graphene, which allowed the detection of lactoferrin adsorbed from the 10-18 M solution.
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Affiliation(s)
- Sergey Zavatski
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Nadia Khinevich
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Kseniya Girel
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Sergey Redko
- Laboratory of Materials and Structures of Nanoelectronics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Nikolai Kovalchuk
- Laboratory of Integrated Micro- and Nanosystems, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Ivan Komissarov
- Laboratory of Integrated Micro- and Nanosystems, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
| | - Vladimir Lukashevich
- Laboratory of Nutrition and Sports Physiology, Institute of Physiology of the National Academy of Sciences of Belarus, 220072 Minsk, Belarus.
| | - Igor Semak
- Department of Biochemistry, Belarusian State University, 220030 Minsk, Belarus.
| | - Kahramon Mamatkulov
- Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia.
| | - Maria Vorobyeva
- Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia.
| | - Grigory Arzumanyan
- Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia.
- Dubna State University, 141982 Dubna, Russia.
| | - Hanna Bandarenka
- Laboratory of Applied Plasmonics, Belarusian State University of Informatics and Radioelectronics, 220013 Minsk, Belarus.
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Markwalter C, Kantor AG, Moore CP, Richardson KA, Wright DW. Inorganic Complexes and Metal-Based Nanomaterials for Infectious Disease Diagnostics. Chem Rev 2019; 119:1456-1518. [PMID: 30511833 PMCID: PMC6348445 DOI: 10.1021/acs.chemrev.8b00136] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Indexed: 12/12/2022]
Abstract
Infectious diseases claim millions of lives each year. Robust and accurate diagnostics are essential tools for identifying those who are at risk and in need of treatment in low-resource settings. Inorganic complexes and metal-based nanomaterials continue to drive the development of diagnostic platforms and strategies that enable infectious disease detection in low-resource settings. In this review, we highlight works from the past 20 years in which inorganic chemistry and nanotechnology were implemented in each of the core components that make up a diagnostic test. First, we present how inorganic biomarkers and their properties are leveraged for infectious disease detection. In the following section, we detail metal-based technologies that have been employed for sample preparation and biomarker isolation from sample matrices. We then describe how inorganic- and nanomaterial-based probes have been utilized in point-of-care diagnostics for signal generation. The following section discusses instrumentation for signal readout in resource-limited settings. Next, we highlight the detection of nucleic acids at the point of care as an emerging application of inorganic chemistry. Lastly, we consider the challenges that remain for translation of the aforementioned diagnostic platforms to low-resource settings.
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Affiliation(s)
| | | | | | | | - David W. Wright
- Department of Chemistry, Vanderbilt
University, Nashville, Tennessee 37235, United States
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19
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Mallepaddi PC, Maity SN, Poonati R, Pyadala N, Polavarapu R, Mangamuri UK, Poda S. Selecting better diagnostic kits for diagnosis of malarial parasites at point of care. 3 Biotech 2019; 9:36. [PMID: 30622874 DOI: 10.1007/s13205-018-1566-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 12/31/2018] [Indexed: 10/27/2022] Open
Abstract
Malaria is a fatal life-threatening parasitic infection and a leading cause of morbidity and mortality. The present study was aimed to evaluate simple, inexpensive, accurate, reliable, easily available better diagnostic for rapid detection of malaria at point of care (POC). The study includes 1403 samples collected from the patients, of which 1227 were clinically suspected cases and 176 from consecutive feverish patients. Among the suspected cases only 338 samples were confirmed positive and 889 samples were negative for Plasmodium species by PCR. All the 889 samples showed negative result for plasmodium species by microscopy, Malarial Ag rapid kits but only 867 samples were confirmed negative with malarial Ab rapid kits. Of the 338 PCR positive samples, 337 samples were confirmed positive by microscopy and Malarial Ag rapid kits, but only 284 samples were confirmed positive using malarial Ab rapid kits. Overall the microscopy and the malaria antigen-based lateral flow assay exhibited similar sensitivity, specificity, PPV, NPV and efficiency, respectively, whereas the PCR assay had 100% sensitivity, specificity, PPV, NPV and efficiency. But the evolutionary data for malaria antibody lateral flow assay has 92.81% sensitivity, 94.13% specificity, 84.02% PPV, 97.52% NPV and 93.80% efficiency. The developed Malaria pf/pv antigen and antibody field-deployable kits are simple, rapid, accurate, reliable, inexpensive, user friendly, POC. In addition the kits are highly sensitive and species-specific. The pf/pv antigen kit is found to be more accurate with 99.7% sensitivity and 100% specificity than to Malaria pf/pv antibody rapid kits. Of the two rapid kits developed, Malaria pf/pv antigen kit is found be more accurate with 99.7% sensitivity and 100% specificity than to Malaria pf/pv antibody rapid kits.
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20
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McBirney SE, Chen D, Scholtz A, Ameri H, Armani AM. Rapid Diagnostic for Point-of-Care Malaria Screening. ACS Sens 2018; 3:1264-1270. [PMID: 29781606 DOI: 10.1021/acssensors.8b00269] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Despite significant success in therapeutic development, malaria remains a widespread and deadly infectious disease in the developing world. Given the nearly 100% efficacy of current malaria therapeutics, the primary barrier to eradication is lack of early diagnosis of the infected population. However, there are multiple strains of malaria. Although significant efforts and resources have been invested in developing antibody-based diagnostic methods for Plasmodium falciparum, a rapid and easy to use screening method capable of detecting all malaria strains has not been realized. Yet, until the entire malaria-infected population receives treatment, the disease will continue to impact society. Here, we report the development of a portable, magneto-optic technology for early stage malaria diagnosis based on the detection of the malaria pigment, hemozoin. Using β-hematin, a hemozoin mimic, we demonstrate detection limits of <0.0081 μg/mL in 500 μL of whole rabbit blood with no additional reagents required. This level corresponds to <26 parasites/μL, a full order of magnitude below clinical relevance and comparable to or less than existing technologies.
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Affiliation(s)
| | | | - Alexis Scholtz
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Hossein Ameri
- USC Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, California 90033, United States
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21
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Joseph MM, Narayanan N, Nair JB, Karunakaran V, Ramya AN, Sujai PT, Saranya G, Arya JS, Vijayan VM, Maiti KK. Exploring the margins of SERS in practical domain: An emerging diagnostic modality for modern biomedical applications. Biomaterials 2018; 181:140-181. [PMID: 30081304 DOI: 10.1016/j.biomaterials.2018.07.045] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 07/16/2018] [Accepted: 07/25/2018] [Indexed: 12/30/2022]
Abstract
Excellent multiplexing capability, molecular specificity, high sensitivity and the potential of resolving complex molecular level biological compositions augmented the diagnostic modality of surface-enhanced Raman scattering (SERS) in biology and medicine. While maintaining all the merits of classical Raman spectroscopy, SERS provides a more sensitive and selective detection and quantification platform. Non-invasive, chemically specific and spatially resolved analysis facilitates the exploration of SERS-based nano probes in diagnostic and theranostic applications with improved clinical outcomes compared to the currently available so called state-of-art technologies. Adequate knowledge on the mechanism and properties of SERS based nano probes are inevitable in utilizing the full potential of this modality for biomedical applications. The safety and efficiency of metal nanoparticles and Raman reporters have to be critically evaluated for the successful translation of SERS in to clinics. In this context, the present review attempts to give a comprehensive overview about the selected medical, biomedical and allied applications of SERS while highlighting recent and relevant outcomes ranging from simple detection platforms to complicated clinical applications.
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Affiliation(s)
- Manu M Joseph
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Nisha Narayanan
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Jyothi B Nair
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Varsha Karunakaran
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Adukkadan N Ramya
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Palasseri T Sujai
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Giridharan Saranya
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Jayadev S Arya
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Vineeth M Vijayan
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India
| | - Kaustabh Kumar Maiti
- Chemical Sciences and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Pappanamcode, Thiruvananthapuram, Kerala 695019, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-NIIST, Pappanamcode, Thiruvananthapuram, Kerala 695019, India.
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Noothalapati H, Iwasaki K, Yamamoto T. Biological and Medical Applications of Multivariate Curve Resolution Assisted Raman Spectroscopy. ANAL SCI 2018; 33:15-22. [PMID: 28070069 DOI: 10.2116/analsci.33.15] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Biological specimens such as cells, tissues and biofluids (urine, blood) contain mixtures of many different biomolecules, all of which contribute to a Raman spectrum at any given point. The separation and identification of pure biochemical components remains one of the biggest challenges in Raman spectroscopy. Multivariate curve resolution, a matrix factorization method, is a powerful, yet flexible, method that can be used with constraints, such as non-negativity, to decompose a complex spectroscopic data matrix into a small number of physically meaningful pure spectral components along with their relative abundances. This paper reviews recent applications of multivariate curve resolution by alternating least squares analysis to Raman spectroscopic and imaging data obtained either in vivo or in vitro from biological and medical samples.
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23
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Perez-Guaita D, Marzec KM, Hudson A, Evans C, Chernenko T, Matthäus C, Miljkovic M, Diem M, Heraud P, Richards JS, Andrew D, Anderson DA, Doerig C, Garcia-Bustos J, McNaughton D, Wood BR. Parasites under the Spotlight: Applications of Vibrational Spectroscopy to Malaria Research. Chem Rev 2018; 118:5330-5358. [DOI: 10.1021/acs.chemrev.7b00661] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Katarzyna M. Marzec
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Bobrzyńskiego 14, Kraków 30-348, Poland
- Center for Medical Genomics (OMICRON), Jagiellonian University, Kopernika 7C, Krakow 31-034, Poland
| | - Andrew Hudson
- Department of Chemistry, University of Leicester, University Road, Leicester LE1 7RH, United Kingdom
| | - Corey Evans
- Department of Chemistry, University of Leicester, University Road, Leicester LE1 7RH, United Kingdom
| | - Tatyana Chernenko
- Becton Dickinson and Company, 2350 Qume Drive, San Jose, California 95131, United States
| | - Christian Matthäus
- Leibniz Institute of Photonic Technology, Albert Einstein Straße 9, Jena 07745, Germany
- Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University, Helmholtz Weg 4, Jena 07743, Germany
| | - Milos Miljkovic
- Department of Mechanical Engineering, Tufts University, 200 Boston Avenue, Medford, Massachusetts 02155, United States
| | - Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, 316 Hurtig Hall, 360 Huntington Avenue, Boston, Massachusetts 02155, United States
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Jack S. Richards
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
- Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria 3050, Australia
| | - Dean Andrew
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
| | - David A. Anderson
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
| | - Christian Doerig
- Department of Microbiology and the Biomedical Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Jose Garcia-Bustos
- Department of Microbiology and the Biomedical Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Don McNaughton
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
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24
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Tian Y, Su JW, Ju J, Liu Q. Efficiency enhancement of Raman spectroscopy at long working distance by parabolic reflector. BIOMEDICAL OPTICS EXPRESS 2017; 8:5243-5252. [PMID: 29188117 PMCID: PMC5695967 DOI: 10.1364/boe.8.005243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 10/04/2017] [Accepted: 10/18/2017] [Indexed: 06/07/2023]
Abstract
Raman spectroscopy is well suited for readily revealing information about bio-samples. As such, this technique has been applied to a wide range of areas, particularly in bio-medical diagnostics. Raman scattering in bio-samples typically has a low signal level due to the nature of inelastic scattering of photons. To achieve a high signal level, usually a high numerical aperture objective is employed. One drawback with these objectives is that their working distance is very short. However, in many cases of clinical diagnostics, a long working distance is preferable. We propose a practical solution to this problem by enhancing the Raman signal using a parabolic reflector. The high signal level is achieved through the large light collection solid angle of the parabolic reflector while the long working distance is ensured by the novel design of our microscope. The enhancement capability of the microscope was demonstrated on four types of samples. Among these samples, we find that this microscope design is most suitable for turbid samples.
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Affiliation(s)
- Yao Tian
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr. 637459,
Singapore
| | - Joshua Weiming Su
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr. 637459,
Singapore
| | - Jian Ju
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr. 637459,
Singapore
| | - Quan Liu
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr. 637459,
Singapore
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25
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A pilot study on fingerprinting Leishmania species from the Old World using Fourier transform infrared spectroscopy. Anal Bioanal Chem 2017; 409:6907-6923. [PMID: 29080902 PMCID: PMC5670197 DOI: 10.1007/s00216-017-0655-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 08/30/2017] [Accepted: 09/19/2017] [Indexed: 12/02/2022]
Abstract
Leishmania species are protozoan parasites and the causative agents of leishmaniasis, a vector borne disease that imposes a large health burden on individuals living mainly in tropical and subtropical regions. Different Leishmania species are responsible for the distinct clinical patterns, such as cutaneous, mucocutaneous, and visceral leishmaniasis, with the latter being potentially fatal if left untreated. For this reason, it is important to perform correct species identification and differentiation. Fourier transform infrared spectroscopy (FTIR) is an analytical spectroscopic technique increasingly being used as a potential tool for identification of microorganisms for diagnostic purposes. By employing mid-infrared (MIR) spectral data, it is not only possible to assess the chemical structures but also to achieve differentiation supported by multivariate statistic analysis. This work comprises a pilot study on differentiation of Leishmania species of the Old World (L. major, L. tropica, L. infantum, and L. donovani) as well as hybrids of distinct species by using vibrational spectroscopic fingerprints. Films of intact Leishmania parasites and their deoxyribonucleic acid (DNA) were characterized comparatively with respect to their biochemical nature and MIR spectral patterns. The strains’ hyperspectral datasets were multivariately examined by means of variance-based principal components analysis (PCA) and distance-based hierarchical cluster analysis (HCA). With the implementation of MIR spectral datasets we show that a phenotypic differentiation of Leishmania at species and intra-species level is feasible. Thus, FTIR spectroscopy can be further exploited for building up spectral databases of Leishmania parasites in view of high-throughput analysis of clinical specimens. For Leishmania species discrimination, sample films of intact parasites and their extracted DNA were analyzed by FTIR micro-spectroscopy. Hyperspectral datasets that comprise mid-infrared fingerprints were submitted to multivariate analysis tools such as principal components analysis (PCA) and hierarchical cluster analysis (HCA). ![]()
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26
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"Optical and Surface Enhanced Raman Scattering properties of Ag modified silicon double nanocone array". Sci Rep 2017; 7:12106. [PMID: 28935978 PMCID: PMC5608876 DOI: 10.1038/s41598-017-12423-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 09/06/2017] [Indexed: 01/27/2023] Open
Abstract
Surface enhanced Raman scattering (SERS) systems with large number of active sites exhibit superior capability in detection of low concentration analytes. In this paper, we present theoretical as well as experimental studies on the optical properties of a unique hybrid nanostructure, Ag NPs decorated silicon double nanocones (Si-DNCs) array, which provide high density of hot spots. The Si-DNC array is fabricated by employing electron beam lithography together with plasma etching process. Multipole analysis of the scattering spectra, based on the multipole expansion theory, confirms that the toroidal dipole moment dominates over other electric and magnetic multipole moments in the Si-DNCs array. This response occurs as a result of generating current densities flowing in opposite directions and consequently generating H-field vortexes inside the nanocones. Moreover, SERS applicability of this type of nanostructure is examined. For this purpose, the Si-DNCs array is decorated with Ag nanoparticles (NPs) by means of electroless deposition method. Simulation results indicate that combination of multiple resonances, including LSPR resonance of Ag NPs, longitudinal standing wave resonance of Ag layer and inter-particle interaction in the gap region, result in a significant SERS enhancement. Our experimental results demonstrate that Si-DNC/Ag NPs array substrate provides excellent reproducibility and ultrahigh sensitivity.
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27
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Krampa FD, Aniweh Y, Awandare GA, Kanyong P. Recent Progress in the Development of Diagnostic Tests for Malaria. Diagnostics (Basel) 2017; 7:diagnostics7030054. [PMID: 28925968 PMCID: PMC5617953 DOI: 10.3390/diagnostics7030054] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 09/13/2017] [Accepted: 09/14/2017] [Indexed: 02/07/2023] Open
Abstract
The impact of malaria on global health has continually prompted the need to develop effective diagnostic strategies. In malaria endemic regions, routine diagnosis is hampered by technical and infrastructural challenges to laboratories. These laboratories lack standard facilities, expertise or diagnostic supplies; thus, therapy is administered based on clinical or self-diagnosis. There is the need for accurate diagnosis of malaria due to the continuous increase in the cost of medication, and the emergence and spread of drug resistant strains. However, the widely utilized Giemsa-stained microscopy and immunochromatographic tests for malaria are liable to several drawbacks, including inadequate sensitivity and false-positive outcomes. Alternative methods that offer improvements in performance are either expensive, have longer turnaround time or require a level of expertise that makes them unsuitable for point-of-care (POC) applications. These gaps necessitate exploration of more efficient detection techniques with the potential of POC applications, especially in resource-limited settings. This minireview discusses some of the recent trends and new approaches that are seeking to improve the clinical diagnosis of malaria.
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Affiliation(s)
- Francis D Krampa
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Accra, Ghana.
- Department of Biochemistry, Cell & Molecular Biology, University of Ghana, Legon, Accra, Ghana.
| | - Yaw Aniweh
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Accra, Ghana.
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Accra, Ghana.
- Department of Biochemistry, Cell & Molecular Biology, University of Ghana, Legon, Accra, Ghana.
| | - Prosper Kanyong
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Accra, Ghana.
- Nanotechnology & Integrated Bioengineering Centre, Ulster University, Jordanstown BT37 0QB, UK.
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28
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Sustained and Cost Effective Silver Substrate for Surface Enhanced Raman Spectroscopy Based Biosensing. Sci Rep 2017; 7:6917. [PMID: 28761047 PMCID: PMC5537298 DOI: 10.1038/s41598-017-07186-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 06/22/2017] [Indexed: 01/10/2023] Open
Abstract
While surface enhanced Raman spectroscopy (SERS) based biosensing has demonstrated great potential for point-of-care diagnostics in the laboratory, its application in the field is limited by the short life time of commonly used silver based SERS active substrates. In this work, we report our attempt towards SERS based field biosensing, involving the development of a novel sustained and cost-effective substrate composed of silver nanoparticles protected by small nitrogen-doped Graphene Quantum Dots, i.e. Ag NP@N-GQD, and its systematic evaluation for glucose sensing. The new substrate demonstrated significantly stronger Raman enhancement compared to pure silver nanoparticles. More importantly, the new substrate preserved SERS performance in a normal indoor environment for at least 30 days in both the wet and dry states, in contrast to only 10 days for pure silver nanoparticles. The Ag NP@N-GQD thin film in the dry state was then successfully applied as a SERS substrate for glucose detection in mouse blood samples. The new substrate was synthesized under mild experimental conditions, and the cost increase due to N-GQD was negligible. These results suggest that the Ag NP@N-GQD is a cost-effective and sustained SERS substrate, the development of which represents an important step towards SERS based field biosensing.
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29
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Oprisan A, Rice A, Oprisan SA, Giraudet C, Croccolo F. Non-equilibrium concentration fluctuations in superparamagnetic nanocolloids. THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER 2017; 40:14. [PMID: 28181056 DOI: 10.1140/epje/i2017-11503-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Accepted: 01/11/2017] [Indexed: 06/06/2023]
Abstract
We investigate non-equilibrium concentration fluctuations during the free diffusion of a colloidal suspension against pure water. We investigate Fe2O3 superparamagnetic nanocolloids with sizes between 1 and 10 nm by means of a shadowgraph apparatus to determine the mixture mass diffusion coefficient and kinematic viscosity. The experiments were performed in three distinct conditions: Experiment 1 is without any magnetic field; Experiment 2 with a vertical magnetic field; Experiment 3 after turning off the magnetic field. We found no correlation between the kinematic viscosity coefficient and the external magnetic field. Conversely, we found that the mass diffusion coefficient decreases in the presence of the external magnetic field and slowly rebounds after the magnetic field was turned off.
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Affiliation(s)
- Ana Oprisan
- College of Charleston, Department of Physics and Astronomy, Charleston, SC, USA.
| | - Ashley Rice
- College of Charleston, Department of Physics and Astronomy, Charleston, SC, USA
| | - Sorinel A Oprisan
- College of Charleston, Department of Physics and Astronomy, Charleston, SC, USA
| | - Cédric Giraudet
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), University of Erlangen-Nuremberg, Erlangen, Germany
| | - Fabrizio Croccolo
- Laboratoire des Fluides Complexes et leurs Réservoirs - UMR5150, Université de Pau et des Pays de l'Adour, Anglet, France
- Centre Nationale d'Etudes Spatiales (CNES), Paris, France
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30
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Kitahama Y, Ozaki Y. Surface-enhanced resonance Raman scattering of hemoproteins and those in complicated biological systems. Analyst 2016; 141:5020-36. [DOI: 10.1039/c6an01009a] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The SERRS spectra of heme are influenced by structural changes, orientation, and selective adsorption on the Ag surface.
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Affiliation(s)
- Yasutaka Kitahama
- Department of Chemistry
- School of Science and Technology
- Kwansei Gakuin University
- Sanda
- Japan
| | - Yukihiro Ozaki
- Department of Chemistry
- School of Science and Technology
- Kwansei Gakuin University
- Sanda
- Japan
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