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Zhang Y, Chang K, Ogunlade B, Herndon L, Tadesse LF, Kirane AR, Dionne JA. From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis. ACS NANO 2024; 18:18101-18117. [PMID: 38950145 DOI: 10.1021/acsnano.4c04282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
Raman spectroscopy has made significant progress in biosensing and clinical research. Here, we describe how surface-enhanced Raman spectroscopy (SERS) assisted with machine learning (ML) can expand its capabilities to enable interpretable insights into the transcriptome, proteome, and metabolome at the single-cell level. We first review how advances in nanophotonics-including plasmonics, metamaterials, and metasurfaces-enhance Raman scattering for rapid, strong label-free spectroscopy. We then discuss ML approaches for precise and interpretable spectral analysis, including neural networks, perturbation and gradient algorithms, and transfer learning. We provide illustrative examples of single-cell Raman phenotyping using nanophotonics and ML, including bacterial antibiotic susceptibility predictions, stem cell expression profiles, cancer diagnostics, and immunotherapy efficacy and toxicity predictions. Lastly, we discuss exciting prospects for the future of single-cell Raman spectroscopy, including Raman instrumentation, self-driving laboratories, Raman data banks, and machine learning for uncovering biological insights.
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Affiliation(s)
- Yirui Zhang
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Kai Chang
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Babatunde Ogunlade
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Liam Herndon
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Loza F Tadesse
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts 02139, United States
- Jameel Clinic for AI & Healthcare, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Amanda R Kirane
- Department of Surgery, Stanford University, Stanford, California 94305, United States
| | - Jennifer A Dionne
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California 94305, United States
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2
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Rafique M, Naveed M, Mumtaz MZ, Niaz A, Alamri S, Siddiqui MH, Waheed MQ, Ali Z, Naman A, Rehman SU, Brtnicky M, Mustafa A. Unlocking the potential of biofilm-forming plant growth-promoting rhizobacteria for growth and yield enhancement in wheat (Triticum aestivum L.). Sci Rep 2024; 14:15546. [PMID: 38969785 PMCID: PMC11226629 DOI: 10.1038/s41598-024-66562-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/02/2024] [Indexed: 07/07/2024] Open
Abstract
Plant growth-promoting rhizobacteria (PGPR) boost crop yields and reduce environmental pressures through biofilm formation in natural climates. Recently, biofilm-based root colonization by these microorganisms has emerged as a promising strategy for agricultural enhancement. The current work aims to characterize biofilm-forming rhizobacteria for wheat growth and yield enhancement. For this, native rhizobacteria were isolated from the wheat rhizosphere and ten isolates were characterized for plant growth promoting traits and biofilm production under axenic conditions. Among these ten isolates, five were identified as potential biofilm-producing PGPR based on in vitro assays for plant growth-promoting traits. These were further evaluated under controlled and field conditions for their impact on wheat growth and yield attributes. Surface-enhanced Raman spectroscopy analysis further indicated that the biochemical composition of the biofilm produced by the selected bacterial strains includes proteins, carbohydrates, lipids, amino acids, and nucleic acids (DNA/RNA). Inoculated plants in growth chamber resulted in larger roots, shoots, and increase in fresh biomass than controls. Similarly, significant increases in plant height (13.3, 16.7%), grain yield (29.6, 17.5%), number of tillers (18.7, 34.8%), nitrogen content (58.8, 48.1%), and phosphorus content (63.0, 51.0%) in grains were observed in both pot and field trials, respectively. The two most promising biofilm-producing isolates were identified through 16 s rRNA partial gene sequencing as Brucella sp. (BF10), Lysinibacillus macroides (BF15). Moreover, leaf pigmentation and relative water contents were significantly increased in all treated plants. Taken together, our results revealed that biofilm forming PGPR can boost crop productivity by enhancing growth and physiological responses and thus aid in sustainable agriculture.
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Affiliation(s)
- Munazza Rafique
- Soil Bacteriology Section, Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Muhammad Naveed
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38040, Pakistan.
| | - Muhammad Zahid Mumtaz
- College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China, Lahore, Pakistan
| | - Abid Niaz
- Soil Bacteriology Section, Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Saud Alamri
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Manzer H Siddiqui
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Muhammad Qandeel Waheed
- Wheat Breeding Group, Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan
| | - Zulfiqar Ali
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, 38040, Pakistan
- Director, Programs and Projects Department, Islamic Organization for Food Security, 019900, Astana, Kazakhstan
| | - Abdul Naman
- Department of Chemistry, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Sajid Ur Rehman
- Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Martin Brtnicky
- Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, 61300, Brno, Czech Republic
| | - Adnan Mustafa
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
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Tahseen H, Ul Huda N, Nawaz H, Majeed MI, Alwadie N, Rashid N, Aslam MA, Zafar N, Asghar M, Anwar A, Ashraf A, Umer R. Surface-enhanced Raman spectroscopy for comparison of biochemical profile of bacteriophage sensitive and resistant methicillin-resistant Staphylococcus aureus (MRSA) strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 310:123968. [PMID: 38330510 DOI: 10.1016/j.saa.2024.123968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/10/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) is gram positive bacteria and leading cause of a wide variety of diseases. It is a common cause of hospitalized and community-acquired infections. Development of increasing antibiotic-resistance by methicillin-resistant S. aureus (MRSA) strains demand to develop alternate novel therapies. Bacteriophages are now widely used as antibacterial therapies against antibiotic-resistant gram-positive pathogens. So, there is an urgent need to find fast detection techniques to point out phage susceptible and resistant strains of methicillin-resistant S. aureus (MRSA) bacteria. Samples of two separate strains of bacteria, S. aureus, in form of pellets and supernatant, were used for this purpose. Strain-I was resistant to phage, while the other (strain-II) was sensitive. Surface Enhanced Raman Spectroscopy (SERS) has detected significant biochemical changes in these bacterial strains of pellets and supernatants in the form of SERS spectral features. The protein portion of these two types of strains of methicillin-resistant S. aureus (MRSA) in their relevant pellets and supernatants is major distinguishing biomolecule as shown by their representative SERS spectral features. In addition, multivariate data analysis techniques such as principal component analysis (PCA) and a partial least squares-discriminant analysis (PLS-DA) were found to be helpful in identifying and characterizing various strains of S. aureus which are sensitive and resistant to bacteriophage with 100% specificity, 100% accuracy, and 99.8% sensitivity in case of SERS spectral data sets of bacterial cell pellets. Moreover, in case of supernatant samples, the results of PLS-DA model including 95.5% specificity, 96% sensitivity, and 96.5% accuracy are obtained.
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Affiliation(s)
- Hira Tahseen
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Noor Ul Huda
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Najah Alwadie
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Muhammad Aamir Aslam
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nishat Zafar
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Maria Asghar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Anwar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Ashraf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rabiea Umer
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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Zulfajri M, Gedda G, Ulla H, Habibati, Gollavelli G, Huang GG. A review on the chemical and biological sensing applications of silver/carbon dots nanocomposites with their interaction mechanisms. Adv Colloid Interface Sci 2024; 325:103115. [PMID: 38422725 DOI: 10.1016/j.cis.2024.103115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 02/04/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024]
Abstract
The development of new nanocomposites has a significant impact on modern instrumentation and analytical methods for chemical analysis. Due to their unique properties, carbon dots (CDs) and silver nanoparticles (AgNPs), distinguished by their unique physical, electrochemical, and optical properties, have captivated significant attention. Thus, combining AgNPs and CDs may produce Ag/CDs nanocomposites with improved performances than the individual material. This comprehensive review offers an in-depth exploration of the synthesis, formation mechanism, properties, and the recent surge in chemical and biological sensing applications of Ag/CDs with their sensing mechanisms. Detailed insights into synthesis methods to produce Ag/CDs are unveiled, followed by information on their physicochemical and optical properties. The crux of this review lies in its spotlight on the diverse landscape of chemical and biological sensing applications of Ag/CDs, with a particular focus on fluorescence, electrochemical, colorimetric, surface-enhanced Raman spectroscopy, and surface plasmon resonance sensing techniques. The elucidation of sensing mechanisms of the nanocomposites with various target analytes adds depth to the discussion. Finally, this review culminates with a concise summary and a glimpse into future perspectives of Ag/CDs aiming to achieve highly efficient and enduring Ag/CDs for various applications.
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Affiliation(s)
- Muhammad Zulfajri
- Department of Chemistry Education, Universitas Serambi Mekkah, Banda Aceh, Aceh 23245, Indonesia
| | - Gangaraju Gedda
- Central Research Laboratory, K S Hegde Medical Academy, NITTE (Deemed to be University), Deralakatte, Mangaluru 575018, Karnataka, India.; Department of Animal Science & Technology and BET Research Institute, Chung-Ang University, Anseong, Gyeonggi-do 17546, Republic of Korea.
| | - Hidayath Ulla
- Department of Physics, School of Engineering, Presidency University, Bangalore 560064, India; Innovation and Translational Research Hub (iTRH), Presidency University, Bangalore 560064, Karnataka, India
| | - Habibati
- Department of Chemistry Education, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
| | - Ganesh Gollavelli
- Department of Humanities and Basic Science, Aditya Engineering College, Jawaharlal Nehru Technological University Kakinada, Kakinada 533437, India
| | - Genin Gary Huang
- Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
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5
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Wang W, Wang X, Huang Y, Zhao Y, Fang X, Cong Y, Tang Z, Chen L, Zhong J, Li R, Guo Z, Zhang Y, Li S. Raman spectrum combined with deep learning for precise recognition of Carbapenem-resistant Enterobacteriaceae. Anal Bioanal Chem 2024:10.1007/s00216-024-05209-9. [PMID: 38383664 DOI: 10.1007/s00216-024-05209-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
Carbapenem-resistant Enterobacteriaceae (CRE) is a major pathogen that poses a serious threat to human health. Unfortunately, currently, there are no effective measures to curb its rapid development. To address this, an in-depth study on the surface-enhanced Raman spectroscopy (SERS) of 22 strains of 7 categories of CRE using a gold silver composite SERS substrate was conducted. The residual networks with an attention mechanism to classify the SERS spectrum from three perspectives (pathogenic bacteria type, enzyme-producing subtype, and sensitive antibiotic type) were performed. The results show that the SERS spectrum measured by the composite SERS substrate was repeatable and consistent. The SERS spectrum of CRE showed varying degrees of species differences, and the strain difference in the SERS spectrum of CRE was closely related to the type of enzyme-producing subtype. The introduced attention mechanism improved the classification accuracy of the residual network (ResNet) model. The accuracy of CRE classification for different strains and enzyme-producing subtypes reached 94.0% and 96.13%, respectively. The accuracy of CRE classification by pathogen sensitive antibiotic combination reached 93.9%. This study is significant for guiding antibiotic use in CRE infection, as the sensitive antibiotic used in treatment can be predicted directly by measuring CRE spectra. Our study demonstrates the potential of combining SERS with deep learning algorithms to identify CRE without culture labels and classify its sensitive antibiotics. This approach provides a new idea for rapid and accurate clinical detection of CRE and has important significance for alleviating the rapid development of resistance to CRE.
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Affiliation(s)
- Wen Wang
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Xin Wang
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Ya Huang
- Donghua Hospital Laboratory Department, Dongguan, 523808, Guangdong, China
| | - Yi Zhao
- Dongguan Key Laboratory of Environmental Medicine, School of Basic Medicine, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Xianglin Fang
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Yanguang Cong
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Zhi Tang
- Dongguan Key Laboratory of Environmental Medicine, School of Basic Medicine, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Luzhu Chen
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Jingyi Zhong
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Ruoyi Li
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China
| | - Zhusheng Guo
- Donghua Hospital Laboratory Department, Dongguan, 523808, Guangdong, China.
| | - Yanjiao Zhang
- Dongguan Key Laboratory of Environmental Medicine, School of Basic Medicine, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
| | - Shaoxin Li
- Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, Guangdong Medical University Dongguan First Affiliated Hospital, School of Medical Technology, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
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Jeon Y, Lee S, Vu NT, Kim H, Hwang IS, Oh CS, You J. Label-Free Surface-Enhanced Raman Scattering Detection of Fire Blight Pathogen Using a Pathogen-Specific Bacteriophage. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:2374-2380. [PMID: 38247141 DOI: 10.1021/acs.jafc.3c08217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Fire blight is one of the most devastating plant diseases, causing severe social and economic problems. Herein, we report a novel method based on label-free surface-enhanced Raman scattering (SERS) combined with an Erwinia amylovora-specific bacteriophage that allows detecting efficiently fire blight bacteria E. amylovora for the first time. To achieve the highest SERS signals for E. amylovora, we synthesized and compared plasmonic nanoparticles (PNPs) with different sizes, i.e., bimetallic gold core-silver shell nanoparticles (Au@AgNPs) and monometallic gold nanoparticles (AuNPs) and utilized the coffee-ring effect for the self-assembly of PNPs and enrichment of fire blight bacteria. Furthermore, we investigated the changes in the SERS spectra of E. amylovora after incubation with an E. amylovora-specific bacteriophage, and we found considerable differences in the SERS signals as a function of the bacteriophage incubation time. The results indicate that our bacteriophage-based label-free SERS analysis can specifically detect E. amylovora without the need for peak assignment on the SERS spectra but simply by monitoring the changes in the SERS signals over time. Therefore, our facile method holds great potential for the label-free detection of pathogenic bacteria and the investigation of viral-bacterial interactions.
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Affiliation(s)
- Youngho Jeon
- Department of Plant & Environmental New Resources and Institute of Graduate School of Green-Bio Science, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, South Korea
| | - Suji Lee
- Department of Plant & Environmental New Resources and Institute of Graduate School of Green-Bio Science, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, South Korea
| | - Nguyen Trung Vu
- Research Institute of Agriculture and Life Sciences, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - Hyeongsoon Kim
- Research Institute of Agriculture and Life Sciences, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - In Sun Hwang
- Research Institute of Agriculture and Life Sciences, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - Chang-Sik Oh
- Research Institute of Agriculture and Life Sciences, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
- Department of Agricultural Biotechnology, College of Agriculture and Life Science, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - Jungmok You
- Department of Plant & Environmental New Resources and Institute of Graduate School of Green-Bio Science, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, South Korea
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Liu W, Tang JW, Mou JY, Lyu JW, Di YW, Liao YL, Luo YF, Li ZK, Wu X, Wang L. Rapid discrimination of Shigella spp. and Escherichia coli via label-free surface enhanced Raman spectroscopy coupled with machine learning algorithms. Front Microbiol 2023; 14:1101357. [PMID: 36970678 PMCID: PMC10030586 DOI: 10.3389/fmicb.2023.1101357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/20/2023] [Indexed: 03/11/2023] Open
Abstract
Shigella and enterotoxigenic Escherichia coli (ETEC) are major bacterial pathogens of diarrheal disease that is the second leading cause of childhood mortality globally. Currently, it is well known that Shigella spp., and E. coli are very closely related with many common characteristics. Evolutionarily speaking, Shigella spp., are positioned within the phylogenetic tree of E. coli. Therefore, discrimination of Shigella spp., from E. coli is very difficult. Many methods have been developed with the aim of differentiating the two species, which include but not limited to biochemical tests, nucleic acids amplification, and mass spectrometry, etc. However, these methods suffer from high false positive rates and complicated operation procedures, which requires the development of novel methods for accurate and rapid identification of Shigella spp., and E. coli. As a low-cost and non-invasive method, surface enhanced Raman spectroscopy (SERS) is currently under intensive study for its diagnostic potential in bacterial pathogens, which is worthy of further investigation for its application in bacterial discrimination. In this study, we focused on clinically isolated E. coli strains and Shigella species (spp.), that is, S. dysenteriae, S. boydii, S. flexneri, and S. sonnei, based on which SERS spectra were generated and characteristic peaks for Shigella spp., and E. coli were identified, revealing unique molecular components in the two bacterial groups. Further comparative analysis of machine learning algorithms showed that, the Convolutional Neural Network (CNN) achieved the best performance and robustness in bacterial discrimination capacity when compared with Random Forest (RF) and Support Vector Machine (SVM) algorithms. Taken together, this study confirmed that SERS paired with machine learning could achieve high accuracy in discriminating Shigella spp., from E. coli, which facilitated its application potential for diarrheal prevention and control in clinical settings.
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Affiliation(s)
- Wei Liu
- School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jia-Wei Tang
- School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Jing-Yi Mou
- The First School of Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jing-Wen Lyu
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Yu-Wei Di
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Ya-Long Liao
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Yan-Fei Luo
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Zheng-Kang Li
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
- *Correspondence: Zheng-Kang Li,
| | - Xiang Wu
- School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xiang Wu,
| | - Liang Wang
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
- Liang Wang,
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Haq AU, Majeed MI, Nawaz H, Rashid N, Javed MR, Raza A, Shakeel M, Zahra ST, Meraj L, Perveen A, Murtaza S, Khaliq S. Surface-enhanced Raman spectroscopy for monitoring antibacterial activity of imidazole derivative (1-benzyl-3-(sec‑butyl)-1H-imidazole-3-ium bromide) against Bacillus subtilis and Escherichia coli. Photodiagnosis Photodyn Ther 2023; 42:103533. [DOI: 10.1016/j.pdpdt.2023.103533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/17/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
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Novikov A, Sayfutdinova A, Botchkova E, Kopitsyn D, Fakhrullin R. Antibiotic Susceptibility Testing with Raman Biosensing. Antibiotics (Basel) 2022; 11:antibiotics11121812. [PMID: 36551469 PMCID: PMC9774239 DOI: 10.3390/antibiotics11121812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/29/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
Antibiotics guard us against bacterial infections and are among the most commonly used medicines. The immediate consequence of their large-scale production and prescription is the development of antibiotic resistance. Therefore, rapid detection of antibiotic susceptibility is required for efficient antimicrobial therapy. One of the promising methods for rapid antibiotic susceptibility testing is Raman spectroscopy. Raman spectroscopy combines fast and contactless acquisition of spectra with good selectivity towards bacterial cells. The antibiotic-induced changes in bacterial cell physiology are detected as distinct features in Raman spectra and can be associated with antibiotic susceptibility. Therefore, the Raman-based approach may be beneficial in designing therapy against multidrug-resistant infections. The surface-enhanced Raman spectroscopy (SERS) and resonance Raman spectroscopy (RRS) additionally provide excellent sensitivity. In this review, we present an analysis of the Raman spectroscopy-based optical biosensing approaches aimed at antibiotic susceptibility testing.
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Affiliation(s)
- Andrei Novikov
- Department of Physical and Colloid Chemistry, Gubkin University, 65/1 Leninsky Prospect, 119991 Moscow, Russia
- Correspondence: (A.N.); (R.F.)
| | - Adeliya Sayfutdinova
- Department of Physical and Colloid Chemistry, Gubkin University, 65/1 Leninsky Prospect, 119991 Moscow, Russia
| | - Ekaterina Botchkova
- Department of Physical and Colloid Chemistry, Gubkin University, 65/1 Leninsky Prospect, 119991 Moscow, Russia
| | - Dmitry Kopitsyn
- Department of Physical and Colloid Chemistry, Gubkin University, 65/1 Leninsky Prospect, 119991 Moscow, Russia
| | - Rawil Fakhrullin
- Department of Physical and Colloid Chemistry, Gubkin University, 65/1 Leninsky Prospect, 119991 Moscow, Russia
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Republic of Tatarstan, Russia
- Correspondence: (A.N.); (R.F.)
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Zhang XD, Gu B, Usman M, Tang JW, Li ZK, Zhang XQ, Yan JW, Wang L. Recent Progress in the Diagnosis of Staphylococcus in Clinical Settings. Infect Dis (Lond) 2022. [DOI: 10.5772/intechopen.108524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Staphylococci are mainly found on the skin or in the nose. These bacteria are typically friendly, causing no harm to healthy individuals or resulting in only minor issues that can go away on their own. However, under certain circumstances, staphylococcal bacteria could invade the bloodstream, affect the entire body, and lead to life-threatening problems like septic shock. In addition, antibiotic-resistant Staphylococcus is another issue because of its difficulty in the treatment of infections, such as the notorious methicillin-resistant Staphylococcus aureus (MRSA) which is resistant to most of the currently known antibiotics. Therefore, rapid and accurate diagnosis of Staphylococcus and characterization of the antibiotic resistance profiles are essential in clinical settings for efficient prevention, control, and treatment of the bacteria. This chapter highlights recent advances in the diagnosis of Staphylococci in clinical settings with a focus on the advanced technique of surface-enhanced Raman spectroscopy (SERS), which will provide a framework for the real-world applications of novel diagnostic techniques in medical laboratories via bench-top instruments and at the bedside through point-of-care devices.
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11
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Akram M, Majeed MI, Nawaz H, Rashid N, Javed MR, Ali MZ, Raza A, Shakeel M, Hasan HMU, Ali Z, Ehsan U, Shahid M. Surface-enhanced Raman spectroscopy for characterization of filtrate portions of blood serum samples of typhoid patients. Photodiagnosis Photodyn Ther 2022; 40:103199. [PMID: 36371020 DOI: 10.1016/j.pdpdt.2022.103199] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/02/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is explored to design a rapid screening method for the characterization and diagnosis of typhoid fever by employing filtrate fractions of blood serum samples obtained by centrifugal filtration with 50 KDa filters. OBJECTIVES The purpose of this study, to separate the filtrate portions of blood serum samples in this way contain proteins smaller than 50 kDa and removal of bigger size protein which allows to acquire the SERS spectral features of smaller proteins more effectively which are probably associated with typhoid disease. Disease caused by Salmonella typhi diagnose more effectively by using surface-enhanced Raman spectroscopy (SERS) and multivariate data analysis tools. METHODS SERS was used as a diagnostic tool for typhoid fever by comparison between healthy and diseased samples. For this purpose, all the samples were analyzed by comparing their SERS spectral features. Over the spectral range of 400-1800cm-1, multivariate data analysis techniques such as Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) are applied to diagnose and differentiate different filtrate fractions of blood serum samples of patients of typhoid fever and healthy ones. RESULTS By comparing SERS spectra of healthy filtrate with that of filtrate of typhoid sample, the SERS spectral features associated with disease development are identified including PCA is found to be efficient for the qualitative differentiation of all of the samples analyzed. Moreover, PLS-DA successfully identified and classified healthy and typhoid positive blood serum samples with 97 % accuracy, 99 % specificity, 91 % sensitivity and 0.78 area under the receiver operating characteristic (AUROC) curve. CONCLUSIONS Surface enhanced Raman spectroscopy using silver nanoparticles SERS substrate, is found to be useful technique for the quick identification and evaluation of filtrate fractions of the blood serum samples of healthy and typhoid samples for disease diagnosis.
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Affiliation(s)
- Maria Akram
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Muhammad Zeeshan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ali Raza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Hafiz Mahmood Ul Hasan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahid
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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12
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Cai L, Fang G, Tang J, Cheng Q, Han X. Label-Free Surface-Enhanced Raman Spectroscopic Analysis of Proteins: Advances and Applications. Int J Mol Sci 2022; 23:ijms232213868. [PMID: 36430342 PMCID: PMC9695365 DOI: 10.3390/ijms232213868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/05/2022] [Accepted: 11/07/2022] [Indexed: 11/12/2022] Open
Abstract
Surface-enhanced Raman spectroscopy (SERS) is powerful for structural characterization of biomolecules under physiological condition. Owing to its high sensitivity and selectivity, SERS is useful for probing intrinsic structural information of proteins and is attracting increasing attention in biophysics, bioanalytical chemistry, and biomedicine. This review starts with a brief introduction of SERS theories and SERS methodology of protein structural characterization. SERS-active materials, related synthetic approaches, and strategies for protein-material assemblies are outlined and discussed, followed by detailed discussion of SERS spectroscopy of proteins with and without cofactors. Recent applications and advances of protein SERS in biomarker detection, cell analysis, and pathogen discrimination are then highlighted, and the spectral reproducibility and limitations are critically discussed. The review ends with a conclusion and a discussion of current challenges and perspectives of promising directions.
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Affiliation(s)
- Linjun Cai
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
- Correspondence: (L.C.); (X.H.)
| | - Guilin Fang
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
| | - Jinpin Tang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China
| | - Qiaomei Cheng
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
| | - Xiaoxia Han
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China
- Correspondence: (L.C.); (X.H.)
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13
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Bari RZA, Nawaz H, Majeed MI, Rashid N, Tahir M, ul Hasan HM, Ishtiaq S, Sadaf N, Raza A, Zulfiqar A, Rehman AU, Shahid M. Characterization of Bacteria Inducing Chronic Sinusitis Using Surface-Enhanced Raman Spectroscopy (SERS) with Multivariate Data Analysis. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2130349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Rana Zaki Abdul Bari
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad, Pakistan
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Shazra Ishtiaq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ali Raza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Anam Zulfiqar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Aziz ur Rehman
- Department of Chemistry, Government College University Lahore, Lahore, Pakistan
| | - Muhammad Shahid
- Department of Biochemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
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14
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Krutyakov YA, Khina AG. Bacterial Resistance to Nanosilver: Molecular Mechanisms and Possible Ways to Overcome them. APPL BIOCHEM MICRO+ 2022. [DOI: 10.1134/s0003683822050106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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15
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Ciloglu FU, Hora M, Gundogdu A, Kahraman M, Tokmakci M, Aydin O. SERS-based sensor with a machine learning based effective feature extraction technique for fast detection of colistin-resistant Klebsiella pneumoniae. Anal Chim Acta 2022; 1221:340094. [DOI: 10.1016/j.aca.2022.340094] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/12/2022] [Accepted: 06/13/2022] [Indexed: 11/01/2022]
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16
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Allen DM, Einarsson GG, Tunney MM, Bell SEJ. Characterization of Bacteria Using Surface-Enhanced Raman Spectroscopy (SERS): Influence of Microbiological Factors on the SERS Spectra. Anal Chem 2022; 94:9327-9335. [PMID: 35713672 PMCID: PMC9260712 DOI: 10.1021/acs.analchem.2c00817] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
SERS is currently being explored as a rapid method for identification of bacteria but variation in the experimental procedures has resulted in considerable variation in the spectra reported for a range of bacterial species. Here, we show that mixing bacteria with a conventional citrate-reduced silver colloid (CRSC) and drying the resulting suspension yield highly reproducible spectra. These signals were due to intracellular components released when the structure of the bacteria was disrupted during sample preparation. This reproducibility allowed us to examine the effects of variables that do not arise in SERS of simple solutions but are relevant in studies of bacteria. These included growth phase and biological variation, which occurred when the same bacterial isolates were cultured under nominally identical conditions on different days. It was found that even under optimal standardized conditions the effect of differences in experimental parameters such as growth phase was very large in some bacterial species but insignificant in others. This suggests that it is important to avoid drawing general conclusions about bacterial SERS based on studies using small numbers of samples. Similarly, discrimination between bacterial species was straightforward when a small number of isolates with distinct spectral features were investigated; however, this became more challenging when more bacterial species were included, as this increased the possibility of finding different species of bacteria with similar spectra. These observations are important because they clearly delineate the challenges that will need to be addressed if SERS is to be used for clinical applications.
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Affiliation(s)
- Danielle M Allen
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, Northern Ireland BT9 7BL, UK
| | - Gisli G Einarsson
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, 97 Lisburn Road, Belfast, Northern Ireland BT9 7BL, UK
| | - Michael M Tunney
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, Northern Ireland BT9 7BL, UK
| | - Steven E J Bell
- School of Chemistry and Chemical Engineering, Queen's University Belfast, University Road, Belfast, Northern Ireland BT7 1NN, UK
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17
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Arslan AH, Ciloglu FU, Yilmaz U, Simsek E, Aydin O. Discrimination of waterborne pathogens, Cryptosporidium parvum oocysts and bacteria using surface-enhanced Raman spectroscopy coupled with principal component analysis and hierarchical clustering. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120475. [PMID: 34653850 DOI: 10.1016/j.saa.2021.120475] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 09/17/2021] [Accepted: 10/04/2021] [Indexed: 05/24/2023]
Abstract
Waterborne pathogens (parasites, bacteria) are serious threats to human health. Cryptosporidium parvum is one of the protozoan parasites that can contaminate drinking water and lead to diarrhea in animals and humans. Rapid and reliable detection of these kinds of waterborne pathogens is highly essential. Yet, current detection techniques are limited for waterborne pathogens and time-consuming and have some major drawbacks. Therefore, rapid screening methods would play an important role in controlling the outbreaks of these pathogens. Here, we used label-free surface-enhanced Raman Spectroscopy (SERS) combined with multivariate analysis for the detection of C. parvum oocysts along with bacterial contaminants including, Escherichia coli, and Staphylococcus aureus. Silver nanoparticles (AgNPs) are used as SERS substrate and samples were prepared with simply mixed of concentrated AgNPs with microorganisms. Each species presented distinct SERS spectra. Principal component analysis (PCA) and hierarchical clustering were performed to discriminate C. parvum oocysts, E. coli, and S. aureus. PCA was used to visualize the dataset and extract significant spectral features. According to score plots in 3 dimensional PCA space, species formed distinct group. Furthermore, each species formed different clusters in hierarchical clustering. Our study indicates that SERS combined with multivariate analysis techniques can be utilized for the detection of C. parvum oocysts quickly.
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Affiliation(s)
- Afra Hacer Arslan
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey
| | | | - Ummugulsum Yilmaz
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey
| | - Emrah Simsek
- Preclinical Sciences, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Turkey
| | - Omer Aydin
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey; ERNAM-Nanotechnology Research and Application Center, Erciyes University, Kayseri, Turkey; ERKAM-Clinical Engineering Research and Application Center, Erciyes University, Kayseri, Turkey.
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18
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Bashir S, Ali S, Nawaz H, Majeed MI, Mohsin M, Nawaz A, Rashid N, Tahir F, Haq AU, Saleem M, Nawaz MZ, Shahzad K. Characterization of Tigecycline-Sensitive and Tigecycline-Resistant Escherichia coli by Surface-Enhanced Raman Spectroscopy (SERS) and Chemometrics. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2030349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ali Nawaz
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad, Pakistan
| | - Fatima Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Anwar ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Kashif Shahzad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
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19
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Cialla-May D, Krafft C, Rösch P, Deckert-Gaudig T, Frosch T, Jahn IJ, Pahlow S, Stiebing C, Meyer-Zedler T, Bocklitz T, Schie I, Deckert V, Popp J. Raman Spectroscopy and Imaging in Bioanalytics. Anal Chem 2021; 94:86-119. [PMID: 34920669 DOI: 10.1021/acs.analchem.1c03235] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Dana Cialla-May
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Christoph Krafft
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Tanja Deckert-Gaudig
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Torsten Frosch
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Izabella J Jahn
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Susanne Pahlow
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Clara Stiebing
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Thomas Bocklitz
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Iwan Schie
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Ernst-Abbe-Hochschule Jena, University of Applied Sciences, Department of Biomedical Engineering and Biotechnology, Carl-Zeiss-Promenade 2, 07745 Jena, Germany
| | - Volker Deckert
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Jürgen Popp
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
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20
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Khina AG, Krutyakov YA. Similarities and Differences in the Mechanism of Antibacterial Action of Silver Ions and Nanoparticles. APPL BIOCHEM MICRO+ 2021. [DOI: 10.1134/s0003683821060053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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21
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Ciloglu FU, Caliskan A, Saridag AM, Kilic IH, Tokmakci M, Kahraman M, Aydin O. Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques. Sci Rep 2021; 11:18444. [PMID: 34531449 PMCID: PMC8446005 DOI: 10.1038/s41598-021-97882-4] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/09/2021] [Indexed: 12/23/2022] Open
Abstract
Over the past year, the world's attention has focused on combating COVID-19 disease, but the other threat waiting at the door-antimicrobial resistance should not be forgotten. Although making the diagnosis rapidly and accurately is crucial in preventing antibiotic resistance development, bacterial identification techniques include some challenging processes. To address this challenge, we proposed a deep neural network (DNN) that can discriminate antibiotic-resistant bacteria using surface-enhanced Raman spectroscopy (SERS). Stacked autoencoder (SAE)-based DNN was used for the rapid identification of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-sensitive S. aureus (MSSA) bacteria using a label-free SERS technique. The performance of the DNN was compared with traditional classifiers. Since the SERS technique provides high signal-to-noise ratio (SNR) data, some subtle differences were found between MRSA and MSSA in relative band intensities. SAE-based DNN can learn features from raw data and classify them with an accuracy of 97.66%. Moreover, the model discriminates bacteria with an area under curve (AUC) of 0.99. Compared to traditional classifiers, SAE-based DNN was found superior in accuracy and AUC values. The obtained results are also supported by statistical analysis. These results demonstrate that deep learning has great potential to characterize and detect antibiotic-resistant bacteria by using SERS spectral data.
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Affiliation(s)
- Fatma Uysal Ciloglu
- Department of Biomedical Engineering, Erciyes University, 38039, Kayseri, Turkey
| | - Abdullah Caliskan
- IMaR Technology Gateway, Munster Technological University, Kerry, Ireland.,Department of Biomedical Engineering, Iskenderun Technical University, 31200, Hatay, Turkey
| | - Ayse Mine Saridag
- Department of Chemistry, Gaziantep University, 27310, Gaziantep, Turkey
| | | | - Mahmut Tokmakci
- Department of Biomedical Engineering, Erciyes University, 38039, Kayseri, Turkey
| | - Mehmet Kahraman
- Department of Chemistry, Gaziantep University, 27310, Gaziantep, Turkey.
| | - Omer Aydin
- Department of Biomedical Engineering, Erciyes University, 38039, Kayseri, Turkey. .,ERNAM-Nanotechnology Research and Application Center, Erciyes University, 38039, Kayseri, Turkey. .,ERKAM-Clinical Engineering Research and Application Center, Erciyes University, 38040, Kayseri, Turkey.
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22
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Bashir S, Nawaz H, Irfan Majeed M, Mohsin M, Nawaz A, Rashid N, Batool F, Akbar S, Abubakar M, Ahmad S, Ali S, Kashif M. Surface-enhanced Raman spectroscopy for the identification of tigecycline-resistant E. coli strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 258:119831. [PMID: 33957452 DOI: 10.1016/j.saa.2021.119831] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/09/2021] [Accepted: 04/10/2021] [Indexed: 06/12/2023]
Abstract
Tigecycline (TGC) is recognised as last resort of drugs against several antibiotic-resistant bacteria. Bacterial resistance to tigecycline due to presence of plasmid-mediated mobile TGC resistance genes (tet X3/X4) has broken another defense line. Therefore, rapid and reproducible detection of tigecycline-resistant E. coli (TREC) is required. The current study is designed for the identification and differentiation of TREC from tigecycline-sensitive E. coli (TSEC) by employing SERS by using Ag NPs as a SERS substrate. The SERS spectral fingerprints of E. coli strains associated directly or indirectly with the development of resistance against tigecycline have been distinguished by comparing SERS spectral data of TSEC strains with each TREC strain. Moreover, the statistical analysis including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were employed to check the diagnostic potential of SERS for the differentiation among TREC and TSEC strains. The qualitative identification and differentiation between resistant and sensitive strains and among individual strains have been efficiently done by performing both PCA and HCA. The successful discrimination among TREC and TSEC at the strain level is performed by PLS-DA with 98% area under ROC curve, 100% sensitivity, 98.7% specificity and 100% accuracy.
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Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
| | - Ali Nawaz
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saba Akbar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
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23
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Surface-enhanced Raman spectroscopy for comparison of serum samples of typhoid and tuberculosis patients of different stages. Photodiagnosis Photodyn Ther 2021; 35:102426. [PMID: 34217869 DOI: 10.1016/j.pdpdt.2021.102426] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is a reliable tool for the identification and differentiation of two different human pathological conditions sharing the same symptomology, typhoid and tuberculosis (TB). OBJECTIVES To explore the potential of surface-enhanced Raman spectroscopy for differentiation of two different diseases showing the same symptoms and analysis by principal component analysis (PCA) and partial least square discriminate analysis (PLS-DA). METHODS Serum samples of clinically diagnosed typhoid and tuberculosis infected individuals were analyzed and differentiated by SERS using silver nanoparticles (Ag NPs) as a SERS substrate. For this purpose, the collected serum samples were analyzed under the SERS instrument and unique SERS spectra of typhoid and tuberculosis were compared showing notable spectral differences in protein, lipid and carbohydrates features. Different stages of the diseased class of typhoid (Early acute and late acute stage) and tuberculosis (Pulmonary and extra-pulmonary stage) were compared with each other and with healthy human serum samples, which were significantly separated. Moreover, SERS data was analyzed using multivariate data analysis techniques including principal component analysis (PCA) and partial least square discriminate analysis (PLS-DA) and differences were so prominent to observe. RESULTS SERS Spectral data of typhoid and tuberculosis showed clear differences and were significantly separated using PCA. SERS spectral data of both stages of typhoid and tuberculosis were separated according to 1st principle component. Moreover, by analyzing data using partial least square discriminate analysis, differentiation of two disease classes were considered more valid with a 100% value of sensitivity, specificity and accuracy. CONCLUSION SERS can be employed for identification and comparison of two different human pathological conditions sharing same symptomology.
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Bashir S, Nawaz H, Majeed MI, Mohsin M, Abdullah S, Ali S, Rashid N, Kashif M, Batool F, Abubakar M, Ahmad S, Abdulraheem A. Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools. Photodiagnosis Photodyn Ther 2021; 34:102280. [PMID: 33823284 DOI: 10.1016/j.pdpdt.2021.102280] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/08/2021] [Accepted: 03/29/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Raman spectroscopy is a powerful technique for the robust, reliable and rapid detection and discrimination of bacteria. OBJECTIVES To develop a rapid and sensitive technique based on surface-enhanced Raman spectroscopy (SERS) with multivariate data analysis tools for discrimination among carbapenem resistant and susceptible E. coli strains. METHODS SERS was employed to differentiate different strains of carbapenem resistant and susceptible E. coli by using silver nanoparticles (Ag NPs) as a SERS substrate. For this purpose, four strains of carbapenem resistant and three strains of carbapenem susceptible E. coli were analyzed by comparing their SERS spectral signatures. Furthermore, multivariate data analysis techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were performed over the spectral range of 400-1800 cm-1 (fingerprint region) for the identification and differentiation of different E. coli strains. RESULTS The SERS spectral features associated with resistant development against carbapenem antibiotics were separated by comparing each spectrum of susceptible strains with each resistant strain. PCA and HCA were found effective for the qualitative differentiation of all the strains analysed. PLS-DA successfully discriminated the carbapenem resistant and susceptible E. coli pellets on the strain level with 99.8 % sensitivity, 100 % specificity, 100 % accuracy and 86 % area under receiver operating characteristic (AUROC) curve. CONCLUSION SERS can be employed for the rapid discrimination among carbapenem resistant and susceptible strains of E. coil.
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Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Sabahat Abdullah
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Aliza Abdulraheem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
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Liu Y, Zhang H, Geng Y, Xu S, Xu W, Yu J, Deng W, Yu B, Wang L. Long-Range Surface Plasmon Resonance Configuration for Enhancing SERS with an Adjustable Refractive Index Sample Buffer to Maintain the Symmetry Condition. ACS OMEGA 2020; 5:32951-32958. [PMID: 33403256 PMCID: PMC7774090 DOI: 10.1021/acsomega.0c03923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 12/02/2020] [Indexed: 06/01/2023]
Abstract
We propose a method to maintain the symmetry condition of the refractive index with respect to a dielectric buffer layer for a long-range surface plasmon resonance (LRSPR) configuration. The symmetry condition was maintained by changing the concentration of the ethylene glycol aqueous solution (sample buffer layer) to match the refractive index of the MgF2 film. Maintenance of the symmetry condition is necessary for exciting the LRSPR mode and increasing the electric field intensity near the film. We used a four-phase Kretschmann resonance setup composed of a K9 prism, MgF2 film, Ag film, and sample buffer layer. The incident angle-dependent surface-enhanced Raman scattering (SERS) spectra were measured in the evanescent field. At the SPR angle, the SERS signal of the symmetric configuration was 60 times higher than that of the conventional SPR configuration. Moreover, the electric field penetration depth of the symmetric long-range surface plasmon configuration (>1000 nm) was longer than that of their asymmetric counterparts. The enhancement factor of the symmetric configuration was 8.6 × 107, which corresponded to the lowest detectable concentration for 4-mercaptopyridine, reaching 1.0 × 10-10 M at the resonance angle. Thus, the symmetric LRSPR configuration has great potential for label-free sensing and detection of macromolecules and biomolecules.
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Affiliation(s)
- Yu Liu
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Haitao Zhang
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
- Key
Laboratory of Microelectronics Devices & Integrated Technology,
Institute of Microelectronics, Chinese Academy
of Sciences, Beijing 100029, China
- School
of Microelectronics, University of Chinese
Academy of Sciences, Beijing 100049, China
| | - Yijia Geng
- State
Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
| | - Shuping Xu
- State
Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
| | - Weiqing Xu
- State
Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
| | - Jie Yu
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
| | - Wenyuan Deng
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
| | - Bo Yu
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
| | - Liping Wang
- State
Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine
Mechanics and Physics, Chinese Academy of
Sciences, Changchun 130033, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
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26
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Locke A, Fitzgerald S, Mahadevan-Jansen A. Advances in Optical Detection of Human-Associated Pathogenic Bacteria. Molecules 2020; 25:E5256. [PMID: 33187331 PMCID: PMC7696695 DOI: 10.3390/molecules25225256] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/04/2020] [Accepted: 11/06/2020] [Indexed: 02/06/2023] Open
Abstract
Bacterial infection is a global burden that results in numerous hospital visits and deaths annually. The rise of multi-drug resistant bacteria has dramatically increased this burden. Therefore, there is a clinical need to detect and identify bacteria rapidly and accurately in their native state or a culture-free environment. Current diagnostic techniques lack speed and effectiveness in detecting bacteria that are culture-negative, as well as options for in vivo detection. The optical detection of bacteria offers the potential to overcome these obstacles by providing various platforms that can detect bacteria rapidly, with minimum sample preparation, and, in some cases, culture-free directly from patient fluids or even in vivo. These modalities include infrared, Raman, and fluorescence spectroscopy, along with optical coherence tomography, interference, polarization, and laser speckle. However, these techniques are not without their own set of limitations. This review summarizes the strengths and weaknesses of utilizing each of these optical tools for rapid bacteria detection and identification.
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Affiliation(s)
- Andrea Locke
- Vanderbilt Biophotonics Center, Nashville, TN 37232, USA; (A.L.); (S.F.)
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
| | - Sean Fitzgerald
- Vanderbilt Biophotonics Center, Nashville, TN 37232, USA; (A.L.); (S.F.)
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
| | - Anita Mahadevan-Jansen
- Vanderbilt Biophotonics Center, Nashville, TN 37232, USA; (A.L.); (S.F.)
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
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27
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Yan Y, Nie Y, An L, Tang YQ, Xu Z, Wu XL. Improvement of Surface-Enhanced Raman Scattering Method for Single Bacterial Cell Analysis. Front Bioeng Biotechnol 2020; 8:573777. [PMID: 33042973 PMCID: PMC7527739 DOI: 10.3389/fbioe.2020.573777] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 08/25/2020] [Indexed: 12/26/2022] Open
Abstract
Surface-enhanced Raman scattering (SERS) is a useful tool for label-free analysis of bacteria at the single cell level. However, low reproducibility limits the use of SERS. In this study, for the sake of sensitive and reproducible Raman spectra, we optimized the methods for preparing silver nanoparticles (AgNPs) and depositing AgNPs onto a cell surface. We found that fast dropwise addition of AgNO3 into the reductant produced smaller and more stable AgNPs, with an average diameter of 45 ± 4 nm. Compared with that observed after simply mixing the bacterial cells with AgNPs, the SERS signal was significantly improved after centrifugation. To optimize the SERS enhancement method, the centrifugal force, method for preparing AgNPs, concentration of AgNPs, ionic strength of the solution used to suspend the cells, and density of the cells were chosen as impact factors and optimized through orthogonal experiments. Finally, the improved method could generate sensitive and reproducible SERS spectra from single Escherichia coli cells, and the SERS signals primarily arose from the cell envelope. We further verified that this optimal method was feasible for the detection of low to 25% incorporation of 13C isotopes by the cells and the discrimination of different bacterial species. Our work provides an improved method for generating sensitive and reproducible SERS spectra.
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Affiliation(s)
- Yingchun Yan
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China.,College of Engineering, Peking University, Beijing, China
| | - Yong Nie
- College of Engineering, Peking University, Beijing, China
| | - Liyun An
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China.,College of Engineering, Peking University, Beijing, China
| | - Yue-Qin Tang
- Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, China
| | - Zimu Xu
- College of Engineering, Peking University, Beijing, China
| | - Xiao-Lei Wu
- College of Engineering, Peking University, Beijing, China.,Institute of Ocean Research, Peking University, Beijing, China
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28
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Biochemical characterization of pathogenic bacterial species using Raman spectroscopy and discrimination model based on selected spectral features. Lasers Med Sci 2020; 36:289-302. [PMID: 32500291 DOI: 10.1007/s10103-020-03028-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/22/2020] [Indexed: 01/09/2023]
Abstract
This study aimed to evaluate the differences in the Raman spectra of nine clinical species of bacteria isolated from infections (three Gram-positive and six Gram-negative species), correlating the spectra with the chemical composition of each species and to develop a classification model through discriminant analysis to categorize each bacterial strain using the peaks with the most significant differences. Bacteria were cultured in Mueller Hinton agar and a sample of biomass was harvested and placed in an aluminum sample holder. A total of 475 spectra from 115 different strains were obtained through a dispersive Raman spectrometer (830 nm) with exposure time of 50 s. The intensities of the peaks were evaluated by one-way analysis of variance (ANOVA) and the peaks with significant differences were related to the differences in the biochemical composition of the strains. Discriminant analysis based on quadratic distance applied to the peaks with the most significant differences and partial least squares applied to the whole spectrum showed 89.5% and 90.1% of global accuracy, respectively, for classification of the spectra in all the groups. Raman spectroscopy could be a promising technique to identify spectral differences related to the biochemical content of pathogenic microorganisms and to provide a faster diagnosis of infectious diseases.
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29
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Development of enteric polymer-based microspheres by spray-drying for colonic delivery of Lactobacillus rhamnosus GG. Int J Pharm 2020; 584:119414. [DOI: 10.1016/j.ijpharm.2020.119414] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 01/13/2023]
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30
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Chisanga M, Linton D, Muhamadali H, Ellis DI, Kimber RL, Mironov A, Goodacre R. Rapid differentiation of Campylobacter jejuni cell wall mutants using Raman spectroscopy, SERS and mass spectrometry combined with chemometrics. Analyst 2020; 145:1236-1249. [DOI: 10.1039/c9an02026h] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
SERS was developed for intercellular and intracellular analyses. Using a series of cell wall mutants in C. jejuni we show cell wall versus cytoplasm differences.
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Affiliation(s)
- Malama Chisanga
- School of Chemistry
- Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | - Dennis Linton
- School of Biological Sciences
- Faculty of Biology
- Medicine and Health
- University of Manchester
- Manchester
| | - Howbeer Muhamadali
- Department of Biochemistry
- Institute of Integrative Biology
- University of Liverpool
- Liverpool
- UK
| | - David I. Ellis
- School of Chemistry
- Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | - Richard L. Kimber
- Department of Earth and Environmental Sciences
- University of Manchester
- Manchester
- UK
| | - Aleksandr Mironov
- EM Core Facility
- Faculty of Biology
- Medicine and Health
- University of Manchester
- Manchester
| | - Royston Goodacre
- Department of Biochemistry
- Institute of Integrative Biology
- University of Liverpool
- Liverpool
- UK
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31
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Tsendzughul NT, Ogwu AA. Physicochemical Aspects of the Mechanisms of Rapid Antimicrobial Contact-Killing by Sputtered Silver Oxide Thin Films under Visible Light. ACS OMEGA 2019; 4:16847-16859. [PMID: 31646231 PMCID: PMC6796911 DOI: 10.1021/acsomega.9b01856] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 09/12/2019] [Indexed: 06/10/2023]
Abstract
The morphology and band gap of silver oxide thin films have been tuned by radio frequency reactive magnetron sputtering to deposit transparent, visible-light-activated photocatalytic biomaterials with excellent antimicrobial properties. X-ray diffraction, Raman spectroscopy, and X-ray photoelectron spectroscopy using the Ag 3d5/2 and Ag 3d3/2 binding energy peaks have been used to study the chemical composition of the films, and the deposition of two antimicrobial phases of silver oxide, namely, Ag2O and Ag4O4 was confirmed. The optical band gaps of the films were determined by optical spectroscopy and are in the range 2.3 eV (539.6 nm) to 3.2 eV (387.8 nm). Strong transmission of up to 80% was observed in the visible region around 650-750 nm. Silver ion release on the surfaces of the films was monitored using atomic absorption spectroscopy, and sustained silver ion release in both water and saline solution for 24 h was confirmed. Nanocrystallites of sizes between 2.45 and 31.30 nm were observed on the surfaces. The films were challenged with two Gram-positive bacteria (Staphylococcus aureus and Staphylococcus epidermidis) and two Gram-negative bacteria (Escherichia coli and Pseudomonas aeruginosa) during antimicrobial activity tests using killing curve analysis with 100% contact killing recorded in 25 and 5 min, respectively. The mechanism of antimicrobial efficacy is suggested to be due to silver ion release, small crystallites, and the ease of ligand replacement in the silver oxide stoichiometry, their exchange and interactions of ligands in the microbe's biological systems. Our current finding opens the door to furthering the development of visible-light-activated antimicrobial surfaces.
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Affiliation(s)
- Nathaniel T. Tsendzughul
- School
of Computing, Engineering and Physical Sciences, University of the West of Scotland, High Street, Paisley Campus, PA1 2BE Scotland, U.K.
| | - Abraham A. Ogwu
- East
Kazakhstan State Technical University, Ust-Kamenogorsk 070004, Republic of Kazakhstan
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32
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Development of uncoated near-spherical gold nanoparticles for the label-free quantification of Lactobacillus rhamnosus GG by surface-enhanced Raman spectroscopy. Anal Bioanal Chem 2019; 411:5563-5576. [PMID: 31209547 DOI: 10.1007/s00216-019-01938-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/01/2019] [Accepted: 05/22/2019] [Indexed: 12/25/2022]
Abstract
The Surface-enhanced Raman spectroscopy (SERS) method based on gold nanoparticles as SERS substrate was investigated for the label-free detection and quantification of probiotic bacteria that are widely used in various pharmaceutical formulations. Indeed, the development of a simple and fast SERS method dedicated to the quantification of bacteria should be very useful for the characterization of such formulations in a more convenient way than the usually performed tedious and time-consuming conventional counting method. For this purpose, uncoated near-spherical gold nanoparticles were developed at room temperature by acidic treatment of star-like gold nanoparticle precursors. In this study, we first investigated the influence of acidic treatment conditions on both the nanoparticle physicochemical properties and SERS efficiency using Rhodamine 6G (R6G) as "model" analyte. Results highlighted that an effective R6G Raman signal enhancement was obtained by promoting chemical effect through R6G-anion interactions and by obtaining a suitable aggregation state of the nanoparticles. Depending on the nanoparticle synthesis conditions, R6G SERS signals were up to 102-103-fold greater than those obtained with star-like gold nanoparticles. The synthesized spherical gold nanoparticles were then successfully applied for the detection and quantification of Lactobacillus rhamnosus GG (LGG). In that case, the signal enhancement was especially due to the combination of anion-induced chemical enhancement and nanoparticle aggregation on LGG cell wall consecutive to non-specific interactions. Both the simplicity and speed of the procedure, achieved under 30 min, including nanoparticle synthesis, sample preparation, and acquisition of SERS spectra, appeared as very relevant for the characterization of pharmaceutical formulations incorporating probiotics. Graphical abstract.
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33
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Weiss R, Palatinszky M, Wagner M, Niessner R, Elsner M, Seidel M, Ivleva NP. Surface-enhanced Raman spectroscopy of microorganisms: limitations and applicability on the single-cell level. Analyst 2019; 144:943-953. [PMID: 30574650 DOI: 10.1039/c8an02177e] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Detection and characterization of microorganisms is essential for both clinical diagnostics and environmental studies. An emerging technique to analyse microbes at single-cell resolution is surface-enhanced Raman spectroscopy (surface-enhanced Raman scattering: SERS). Optimised SERS procedures enable fast analytical read-outs with specific molecular information, providing insight into the chemical composition of microbiological samples. Knowledge about the origin of microbial SERS signals and parameter(s) affecting their occurrence, intensity and/or reproducibility is crucial for reliable SERS-based analyses. In this work, we explore the feasibility and limitations of the SERS approach for characterizing microbial cells and investigate the applicability of SERS for single-cell sorting as well as for three-dimensional visualization of microbial communities. Analyses of six different microbial species (an archaeon, two Gram-positive bacteria, three Gram-negative bacteria) showed that for several of these organisms distinct features in their SERS spectra were lacking. As additional confounding factor, the physiological conditions of the cells (as influenced by e.g., storage conditions or deuterium-labelling) were systematically addressed, for which we conclude that the respective SERS signal at the single-cell level is strongly influenced by the metabolic activity of the analysed cells. While this finding complicates the interpretation of SERS data, it may on the other hand enable probing of the metabolic state of individual cells within microbial populations of interest.
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Affiliation(s)
- Ruben Weiss
- Technical University of Munich, Institute of Hydrochemistry, Chair of Analytical Chemistry and Water Chemistry, Marchioninistrasse 17, D-81377 Munich, Germany.
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Durovich E, Evtushenko E, Senko O, Stepanov N, Efremenko E, Eremenko A, Kurochkin I. Molecular origin of surface-enhanced Raman spectra of E. coli suspensions excited at 532 and 785 nm using silver nanoparticle sols as sers substrates. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2018. [DOI: 10.24075/brsmu.2018.088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Research into the molecular origin of surface-enhanced Raman spectra (SERS) of bacteria is a crucial step in assessing the future of SERS-based discrimination and identification of bacteria in clinical analysis, food quality control, etc. Previous studies have revealed that at 785 nm excitation wavelength SERS of bacterial cells placed on a solid surface functionalized with in-situ grown aggregated gold nanoparticles covered with SiO2 originate from a mixture of 6 purine derivatives (adenine, guanine, AMP, hypoxanthine, xanthine, and uric acid) that are released by the cells into the medium. The aim of the present work was to investigate whether such interpretation is possible with a different class of SERS substrates: silver nanoparticle sols at excitation wavelengths of 785 and 532 nm. The suspension of the Escherichia coli DH5α strain was used as a model bacterium. Sols of silver nanoparticles were obtained by reducing silver nitrate in the presence of alkaline hydroxylamine hydrochloride. Number-weighted mean hydrodynamic diameter of the particles was 43±2 nm. We confirm that at both excitation wavelengths the spectra can be best described as a superposition of 4 purine derivatives: adenine, guanine, hypoxanthine, and xanthine. Importantly, we have discovered that 1) the spectra of the purine mixture are characteristic of viable cells only; 2) due to the variations in the concentrations of purine metabolites released by the cells into the surrounding medium the spectra of a bacterial strain can vary significantly when a silver nanoparticle sol is used as a SERS substrate.
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Affiliation(s)
- E.A. Durovich
- Faculty of Chemistry, Lomonosov Moscow State University
| | - E.G. Evtushenko
- Faculty of Chemistry, Lomonosov Moscow State University; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow
| | - O.V. Senko
- Faculty of Chemistry, Lomonosov Moscow State University
| | - N.A. Stepanov
- Faculty of Chemistry, Lomonosov Moscow State University
| | | | - A.V. Eremenko
- Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow
| | - I.N. Kurochkin
- Faculty of Chemistry, Lomonosov Moscow State University; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow
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35
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Label-Free SERS Discrimination and In Situ Analysis of Life Cycle in Escherichia coli and Staphylococcus epidermidis. BIOSENSORS-BASEL 2018; 8:bios8040131. [PMID: 30558342 PMCID: PMC6315751 DOI: 10.3390/bios8040131] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 12/11/2018] [Accepted: 12/13/2018] [Indexed: 11/17/2022]
Abstract
Surface enhanced Raman spectroscopy (SERS) has been proven suitable for identifying and characterizing different bacterial species, and to fully understand the chemically driven metabolic variations that occur during their evolution. In this study, SERS was exploited to identify the cellular composition of Gram-positive and Gram-negative bacteria by using mesoporous silicon-based substrates decorated with silver nanoparticles. The main differences between the investigated bacterial strains reside in the structure of the cell walls and plasmatic membranes, as well as their biofilm matrix, as clearly noticed in the corresponding SERS spectrum. A complete characterization of the spectra was provided in order to understand the contribution of each vibrational signal collected from the bacterial culture at different times, allowing the analysis of the bacterial populations after 12, 24, and 48 h. The results show clear features in terms of vibrational bands in line with the bacterial growth curve, including an increasing intensity of the signals during the first 24 h and their subsequent decrease in the late stationary phase after 48 h of culture. The evolution of the bacterial culture was also confirmed by fluorescence microscope images.
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36
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Wei C, Li M, Zhao X. Surface-Enhanced Raman Scattering (SERS) With Silver Nano Substrates Synthesized by Microwave for Rapid Detection of Foodborne Pathogens. Front Microbiol 2018; 9:2857. [PMID: 30619101 PMCID: PMC6300495 DOI: 10.3389/fmicb.2018.02857] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 11/06/2018] [Indexed: 12/30/2022] Open
Abstract
Rapid and sensitive methods have been developed to detect foodborne pathogens, a development that is important for food safety. The aim of this study is to explore Surface-enhanced Raman scattering (SERS) with silver nano substrates to detect and identify the following three foodborne pathogens: Escherichia coli O157: H7, Staphylococcus aureus and Salmonella. All the cells were resuspended with 10 mL silver colloidal nanoparticles, making a concentration of 107 CFU/mL, and were then exposed to 785 nm laser excitation. In this study, the results showed that all the bacteria can be sensitively and reproducibly detected directly by SERS. The distinctive differences can be observed in the SERS spectral data of the three food-borne pathogens, and the silver colloidal nanoparticles can be used as highly sensitive SERS-active substrates. In addition, the assay time required only a few minutes, which indicated that SERS coupled with the silver colloidal nanoparticles is a promising method for the detection and characterization of food-borne pathogens. At the same time, principle component analysis (PCA) and hierarchical cluster analysis (HCA) made the different bacterial strains clearly differentiated based on the barcode spectral data reduction. Therefore, the SERS methods hold great promise for the detection and identification of food-borne pathogens and even for applications in food safety.
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Affiliation(s)
| | | | - Xihong Zhao
- Research Center for Environmental Ecology and Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Key Laboratory for Hubei Novel Reactor & Green Chemical Technology, School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan, China
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37
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Vysakh A, Midhun SJ, Jayesh K, Jyothis M, Latha M. Studies on biofilm formation and virulence factors associated with uropathogenic Escherichia coli isolated from patient with acute pyelonephritis. PATHOPHYSIOLOGY 2018; 25:381-387. [DOI: 10.1016/j.pathophys.2018.07.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 06/29/2018] [Accepted: 07/12/2018] [Indexed: 12/16/2022] Open
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38
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Galvan DD, Yu Q. Surface-Enhanced Raman Scattering for Rapid Detection and Characterization of Antibiotic-Resistant Bacteria. Adv Healthc Mater 2018; 7:e1701335. [PMID: 29504273 DOI: 10.1002/adhm.201701335] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 12/30/2017] [Indexed: 12/19/2022]
Abstract
As the prevalence of antibiotic-resistant bacteria continues to rise, biosensing technologies are needed to enable rapid diagnosis of bacterial infections. Furthermore, understanding the unique biochemistry of resistance mechanisms can facilitate the development of next generation therapeutics. Surface-enhanced Raman scattering (SERS) offers a potential solution to real-time diagnostic technologies, as well as a route to fundamental, mechanistic studies. In the current review, SERS-based approaches to the detection and characterization of antibiotic-resistant bacteria are covered. The commonly used nanomaterials (nanoparticles and nanostructured surfaces) and surface modifications (antibodies, aptamers, reporters, etc.) for SERS bacterial detection and differentiation are discussed first, and followed by a review of SERS-based detection of antibiotic-resistant bacteria from environmental/food processing and clinical sources. Antibiotic susceptibility testing and minimum inhibitory concentration testing with SERS are then summarized. Finally, recent developments of SERS-based chemical imaging/mapping of bacteria are reviewed.
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Affiliation(s)
- Daniel D. Galvan
- Department of Chemical Engineering University of Washington Seattle WA 98195 USA
| | - Qiuming Yu
- Department of Chemical Engineering University of Washington Seattle WA 98195 USA
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Zhao X, Li M, Xu Z. Detection of Foodborne Pathogens by Surface Enhanced Raman Spectroscopy. Front Microbiol 2018; 9:1236. [PMID: 29946307 PMCID: PMC6005832 DOI: 10.3389/fmicb.2018.01236] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 05/22/2018] [Indexed: 01/21/2023] Open
Abstract
Food safety has become an important public health issue in both developed and developing countries. However, as the foodborne illnesses caused by the pollution of foodborne pathogens occurred frequently, which seriously endangered the safety and health of human beings. More importantly, the traditional techniques, such as PCR and enzyme-linked immunosorbent assay, are accurate and effective, but their pretreatments are complex and time-consuming. Therefore, how to detect foodborne pathogens quickly and sensitively has become the key to control food safety. Because of its sensitivity, rapidity, and non-destructive damage to the sample, the surface enhanced Raman scattering (SERS) is considered to be a powerful testing technology that is widely used to different fields. This review aims to give a systematic and comprehensive understanding of SERS for rapid detection of pathogen bacteria. First, the related concepts of SERS are stated, such as its work principal, active substrate, and biochemical origins of the detection of bacteria by SERS. Then the latest progress and applications in food safety, from detection and characterization of targets in label-free method to label method, is summarized. The advantages and limitations of different SERS substrates and methods are discussed. Finally, there are still several hurdles for the further development of SERS techniques into real-world applications. This review comes up with the perspectives on the future trends of the SERS technique in the field of foodborne pathogens detection and some problems to be solved urgently. Therefore, the purpose is mainly to understand the detection of foodborne pathogens and to make further emphasis on the importance of SERS techniques.
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Affiliation(s)
- Xihong Zhao
- Research Center for Environmental Ecology and Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Key Laboratory for Hubei Novel Reactor and Green Chemical Technology, School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan, China
| | - Mei Li
- Research Center for Environmental Ecology and Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Key Laboratory for Hubei Novel Reactor and Green Chemical Technology, School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan, China
| | - Zhenbo Xu
- School of Food Science and Engineering, South China University of Technology, Guangzhou, China
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Szöke-Nagy T, Porav AS, Coman C, Cozar BI, Dina NE, Tripon C. Characterization of the Action of Antibiotics and Essential Oils against Bacteria by Surface-Enhanced Raman Spectroscopy and Scanning Electron Microscopy. ANAL LETT 2018. [DOI: 10.1080/00032719.2018.1430150] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Tiberiu Szöke-Nagy
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
- Faculty of Biology and Geology, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Alin Sebastian Porav
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
- Faculty of Biology and Geology, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Cristian Coman
- Branch of the National Institute of Research and Development for Biological Sciences Bucharest, Institute of Biological Research Cluj-Napoca, Cluj-Napoca, Romania
| | - Bogdan Ionut Cozar
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
| | - Nicoleta Elena Dina
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
| | - Carmen Tripon
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
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41
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Moghtader F, Tomak A, Zareie HM, Piskin E. Bacterial detection using bacteriophages and gold nanorods by following time-dependent changes in Raman spectral signals. ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY 2018; 46:122-130. [DOI: 10.1080/21691401.2018.1452251] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Farzaneh Moghtader
- Division of Nanotechnology and Nanomedicine, The Institute for Graduate School of Science and Engineering, Hacettepe University, Ankara, Turkey
- NanoBMT: Cyberpark-Bilkent/KOSGEB-Başkent University-Tekmer, Ankara, Turkey
| | - Aysel Tomak
- Department of Material Science and Engineering Department, İzmir Institute of Technology, İzmir, Turkey
| | - Hadi M. Zareie
- School of Mathematical and Physical Science (Physics), University of Technology Sydney, Sydney, Australia
| | - Erhan Piskin
- NanoBMT: Cyberpark-Bilkent/KOSGEB-Başkent University-Tekmer, Ankara, Turkey
- Department of Chemical Engineering, Hacettepe University, Ankara, Turkey
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42
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Surface enhanced Raman spectroscopy of Chlamydia trachomatis and Neisseria gonorrhoeae for diagnostics, and extra-cellular metabolomics and biochemical monitoring. Sci Rep 2018; 8:5163. [PMID: 29581560 PMCID: PMC5980109 DOI: 10.1038/s41598-018-23562-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 03/13/2018] [Indexed: 12/11/2022] Open
Abstract
SERS spectra excited at 785 nm of the bacteria Chlamydia trahomatis (elementary bodies, EB) and Neisseria gonorrheoae, the causative pathogens for the two most common sexually transmitted diseases (STD), chlamydia and gonorrhea, respectively, are reported. Although both are Gram-negative bacteria, the SERS signatures of C. trachomatis and N. gonorrheoae are completely different. N. gonorrheoae SERS spectra are due to the starvation induced nucleotide metabolites adenine and guanine, and the surface associated co-enzyme nicotinamide adenine dinucleotide and are very similar on Au and Ag although the spectrum appears more rapidly on Ag. The C. trachomatis SERS spectrum is dominated by the vibrational features of cell surface proteins. While features attributable to specific residues and the amide backbone characterize the C. trachomatis spectrum on Ag, the corresponding SERS spectrum on Au substrates displays vibrational characteristics of aggregated proteins. The prospects for the development of a SERS based platform for rapid (<one hour), low-cost bacterial STD diagnostics are promising based on these initial studies. Furthermore, this biomedical application demonstrates the potential for SERS to be a sensitive real time probe of the dynamics of biochemical activity in the cell wall and extracellular regions of microorganisms.
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Pavlicek RL, Crane NJ, Ghebremedhin M, Cilwa KE, Elster EA. Diagnostic Bacteriology: Raman Spectroscopy. Methods Mol Biol 2018; 1616:249-261. [PMID: 28600775 DOI: 10.1007/978-1-4939-7037-7_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Current clinical methodology for identification of bacterial infections relies predominantly on culturing microbes from patient material and performing biochemical tests. This can often be an inefficient and lengthy process, which has a significant detrimental effect upon patient care. Techniques used in other aspects of molecular research have the potential to revolutionize the way in which diagnostic tests are used and delivered in the clinical setting. The need for rapid, accurate, and cost-effective molecular techniques in the diagnostic laboratory is imperative to improving patient care, preventing the spread of drug resistance and decreasing the overall burden associated with nosocomial infections. Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) are powerful vibrational spectroscopy techniques that are being developed for highly sensitive pathogen identification in complex clinical samples. Raman spectroscopy is a molecular technique that is capable of probing samples noninvasively and nondestructively. It has been used with high specificity to assess tissue and bacterial samples at the molecular level with diverse clinical and diagnostic applications. SERS has recently developed out of the advances in the Raman spectroscopy arena. This technique is designed to amplify Raman scattering and allows for better differentiation of bacterial isolates. Although the current parameters for the use of SERS require a pure culture and are relatively monoparametric, current breakthroughs and testing are pushing the technology to new levels and thus changing the face of modern bacterial diagnostics.
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Affiliation(s)
| | - Nicole J Crane
- The Department of Surgery at Uniformed Services University of the Health Sciences & The Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Meron Ghebremedhin
- Department of Regenerative Medicine, Naval Medical Research Center, Silver Spring, MD, USA
| | - Katherine E Cilwa
- Department of Regenerative Medicine, Naval Medical Research Center, Silver Spring, MD, USA
| | - Eric A Elster
- The Department of Surgery at Uniformed Services University of the Health Sciences & The Walter Reed National Military Medical Center, Bethesda, MD, USA.
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44
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Witkowska E, Jagielski T, Kamińska A. Genus- and species-level identification of dermatophyte fungi by surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 192:285-290. [PMID: 29156315 DOI: 10.1016/j.saa.2017.11.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 10/16/2017] [Accepted: 11/02/2017] [Indexed: 06/07/2023]
Abstract
This paper demonstrates that surface-enhanced Raman spectroscopy (SERS) coupled with principal component analysis (PCA) can serve as a fast and reliable technique for detection and identification of dermatophyte fungi at both genus and species level. Dermatophyte infections are the most common mycotic diseases worldwide, affecting a quarter of the human population. Currently, there is no optimal method for detection and identification of fungal diseases, as each has certain limitations. Here, for the first time, we have achieved with a high accuracy, differentiation of dermatophytes representing three major genera, i.e. Trichophyton, Microsporum, and Epidermophyton. Two first principal components (PC), namely PC-1 and PC-2, gave together 97% of total variance. Additionally, species-level identification within the Trichophyton genus has been performed. PC-1 and PC-2, which are the most diagnostically significant, explain 98% of the variance in the data obtained from spectra of: Trichophyton rubrum, Trichophyton menatgrophytes, Trichophyton interdigitale and Trichophyton tonsurans. This study offers a new diagnostic approach for the identification of dermatophytes. Being fast, reliable and cost-effective, it has the potential to be incorporated in the clinical practice to improve diagnostics of medically important fungi.
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Affiliation(s)
- Evelin Witkowska
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
| | - Tomasz Jagielski
- University of Warsaw, Faculty of Biology, Institute of Microbiology, Department of Applied Microbiology, I. Miecznikowa 1, 02-096 Warsaw, Poland
| | - Agnieszka Kamińska
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
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Dina NE, Gherman AMR, Chiş V, Sârbu C, Wieser A, Bauer D, Haisch C. Characterization of Clinically Relevant Fungi via SERS Fingerprinting Assisted by Novel Chemometric Models. Anal Chem 2018; 90:2484-2492. [PMID: 29356512 DOI: 10.1021/acs.analchem.7b03124] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Nonculture-based tests are gaining popularity and upsurge in the diagnosis of invasive fungal infections (IFI) fostered by their main asset, the reduced analysis time, which enables a more rapid diagnosis. In this project, three different clinical isolates of relevant filamentous fungal species were discriminated by using a rapid (less than 5 min) and sensitive surface-enhanced Raman scattering (SERS)-based detection method, assisted by chemometrics. The holistic evaluation of the SERS spectra was performed by employing appropriate chemometric tools-classical and fuzzy principal component analysis (FPCA) in combination with linear discriminant analysis (LDA) applied to the first relevant principal components. The efficiency of the proposed robust algorithm is illustrated on the data set including three fungal isolates (Aspergillus fumigatus sensu stricto, cryptic A. fumigatus complex species, and Rhizomucor pusillus) that were isolated from patient materials. The accurate and reliable discrimination between species of common fungal pathogen strains suggest that the developed method has the potential as an alternative, spectroscopic-based routine analysis tool in IFI diagnosis.
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Affiliation(s)
- Nicoleta Elena Dina
- Department of Molecular and Biomolecular Physics, National Institute of R&D of Isotopic and Molecular Technologies , 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Ana Maria Raluca Gherman
- Department of Molecular and Biomolecular Physics, National Institute of R&D of Isotopic and Molecular Technologies , 67-103 Donat, 400293 Cluj-Napoca, Romania.,Faculty of Physics, Babeş-Bolyai University , 1 Kogălniceanu, 400084 Cluj-Napoca, Romania
| | - Vasile Chiş
- Faculty of Physics, Babeş-Bolyai University , 1 Kogălniceanu, 400084 Cluj-Napoca, Romania
| | - Costel Sârbu
- Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University , 11 Arany Janos, 400028 Cluj-Napoca, Romania
| | - Andreas Wieser
- Max von Pettenkofer-Institut für Hygiene und Medizinische Mikrobiologie, Ludwig-Maximilians-University ; Marchioninistrasse 17, 82377 Munich, Germany.,Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU) , Leopoldstrasse 5, 80802 Munich, Germany.,German Center for Infection Research (DZIF) , partner site Munich, 80802 Munich, Germany
| | - David Bauer
- Chair for Analytical Chemistry, Institute of Hydrochemistry, Technische Universität München , Marchioninistrasse 17, 81377 Munich, Germany
| | - Christoph Haisch
- Chair for Analytical Chemistry, Institute of Hydrochemistry, Technische Universität München , Marchioninistrasse 17, 81377 Munich, Germany
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46
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Mosier-Boss PA. Review on SERS of Bacteria. BIOSENSORS-BASEL 2017; 7:bios7040051. [PMID: 29137201 PMCID: PMC5746774 DOI: 10.3390/bios7040051] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 11/06/2017] [Accepted: 11/09/2017] [Indexed: 12/16/2022]
Abstract
Surface enhanced Raman spectroscopy (SERS) has been widely used for chemical detection. Moreover, the inherent richness of the spectral data has made SERS attractive for use in detecting biological materials, including bacteria. This review discusses methods that have been used to obtain SERS spectra of bacteria. The kinds of SERS substrates employed to obtain SERS spectra are discussed as well as how bacteria interact with silver and gold nanoparticles. The roll of capping agents on Ag/Au NPs in obtaining SERS spectra is examined as well as the interpretation of the spectral data.
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47
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Colniță A, Dina NE, Leopold N, Vodnar DC, Bogdan D, Porav SA, David L. Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis. NANOMATERIALS (BASEL, SWITZERLAND) 2017; 7:E248. [PMID: 28862655 PMCID: PMC5618359 DOI: 10.3390/nano7090248] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 08/27/2017] [Accepted: 08/28/2017] [Indexed: 01/29/2023]
Abstract
Raman scattering and its particular effect, surface-enhanced Raman scattering (SERS), are whole-organism fingerprinting spectroscopic techniques that gain more and more popularity in bacterial detection. In this work, two relevant Gram-positive bacteria species, Lactobacillus casei (L. casei) and Listeria monocytogenes (L. monocytogenes) were characterized based on their Raman and SERS spectral fingerprints. The SERS spectra were used to identify the biochemical structures of the bacterial cell wall. Two synthesis methods of the SERS-active nanomaterials were used and the recorded spectra were analyzed. L. casei and L. monocytogenes were successfully discriminated by applying Principal Component Analysis (PCA) to their specific spectral data.
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Affiliation(s)
- Alia Colniță
- National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
| | - Nicoleta Elena Dina
- National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
| | - Nicolae Leopold
- Faculty of Physics, Babeş-Bolyai University, 1 Kogălniceanu, 400084 Cluj-Napoca, Romania.
| | - Dan Cristian Vodnar
- Department of Food Science, University of Agricultural Science and Veterinary Medicine, 3-5 Calea Mănăştur, 400372 Cluj-Napoca, Romania.
| | - Diana Bogdan
- National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
| | - Sebastian Alin Porav
- National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
- Faculty of Biology and Geology, Babeș-Bolyai University, 44 Republicii, 400015 Cluj-Napoca, Romania.
| | - Leontin David
- Faculty of Physics, Babeş-Bolyai University, 1 Kogălniceanu, 400084 Cluj-Napoca, Romania.
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48
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Olson AP, Spies KB, Browning AC, Soneral PAG, Lindquist NC. Chemically imaging bacteria with super-resolution SERS on ultra-thin silver substrates. Sci Rep 2017; 7:9135. [PMID: 28831104 PMCID: PMC5567233 DOI: 10.1038/s41598-017-08915-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 07/18/2017] [Indexed: 11/10/2022] Open
Abstract
Plasmonic hotspots generate a blinking Surface Enhanced Raman Spectroscopy (SERS) effect that can be processed using Stochastic Optical Reconstruction Microscopy (STORM) algorithms for super-resolved imaging. Furthermore, by imaging through a diffraction grating, STORM algorithms can be modified to extract a full SERS spectrum, thereby capturing spectral as well as spatial content simultaneously. Here we demonstrate SERS and STORM combined in this way for super-resolved chemical imaging using an ultra-thin silver substrate. Images of gram-positive and gram-negative bacteria taken with this technique show excellent agreement with scanning electron microscope images, high spatial resolution at <50 nm, and spectral SERS content that can be correlated to different regions. This may be used to identify unique chemical signatures of various cells. Finally, because we image through as-deposited, ultra-thin silver films, this technique requires no nanofabrication beyond a single deposition and looks at the cell samples from below. This allows direct imaging of the cell/substrate interface of thick specimens or imaging samples in turbid or opaque liquids since the optical path doesn’t pass through the sample. These results show promise that super-resolution chemical imaging may be used to differentiate chemical signatures from cells and could be applied to other biological structures of interest.
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Affiliation(s)
- Aeli P Olson
- Physics Department, Bethel University, St Paul, MN, 55112, USA
| | - Kelsey B Spies
- Biology Department, Bethel University, St Paul, MN, 55112, USA
| | - Anna C Browning
- Biology Department, Bethel University, St Paul, MN, 55112, USA
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Liu Y, Zhou H, Hu Z, Yu G, Yang D, Zhao J. Label and label-free based surface-enhanced Raman scattering for pathogen bacteria detection: A review. Biosens Bioelectron 2017; 94:131-140. [DOI: 10.1016/j.bios.2017.02.032] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 02/20/2017] [Accepted: 02/22/2017] [Indexed: 12/21/2022]
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50
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Abstract
Rapid and accurate Gram differentiation is paramount as the first step of pathogen identification and antibiotics administration. However, the current method requires additional reagents, is time-consuming, and is operator dependent. Here we show the principle of tip enhanced Raman spectroscopy (TERS) can differentiate between Gram negative and positive species, by detecting the changes in tip-enhancement in the Raman scattering from the bacteria's lipid-bilayer membrane, which specifically enhances Gram negative bacteria.
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