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Pistiki A, Salbreiter M, Sultan S, Rösch P, Popp J. Application of Raman spectroscopy in the hospital environment. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202200011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Aikaterini Pistiki
- Leibniz‐Institute of Photonic Technology Member of the Leibniz Research Alliance–Leibniz Health Technologies Jena Germany
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
| | - Markus Salbreiter
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Salwa Sultan
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Petra Rösch
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Jürgen Popp
- Leibniz‐Institute of Photonic Technology Member of the Leibniz Research Alliance–Leibniz Health Technologies Jena Germany
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
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Nakar A, Wagenhaus A, Rösch P, Popp J. Raman spectroscopy for the differentiation of Enterobacteriaceae: a comparison of two methods. Analyst 2022; 147:3938-3946. [DOI: 10.1039/d2an00822j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A comprehensive dataset of bacteria of the family Enterobacteriaceae was collected and measured with Raman spectroscopy. Fiber-probe based Raman spectroscopy enabled classification with 100% accuracy and remained robust with a validation dataset.
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Affiliation(s)
- Amir Nakar
- Leibniz Institute of Photonic Technology Jena – Member of the research alliance “Leibniz Health Technologies”, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Germany
- Research Campus Infectognostics, Jena, Germany
| | - Annette Wagenhaus
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Germany
- Research Campus Infectognostics, Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology Jena – Member of the research alliance “Leibniz Health Technologies”, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Germany
- Research Campus Infectognostics, Jena, Germany
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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: 16] [Impact Index Per Article: 5.3] [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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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: 8] [Impact Index Per Article: 2.7] [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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Novais Â, Freitas AR, Rodrigues C, Peixe L. Fourier transform infrared spectroscopy: unlocking fundamentals and prospects for bacterial strain typing. Eur J Clin Microbiol Infect Dis 2018; 38:427-448. [DOI: 10.1007/s10096-018-3431-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 11/11/2018] [Indexed: 01/25/2023]
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Cheong Y, Kim YJ, Kang H, Choi S, Lee HJ. Rapid label-free identification of Klebsiella pneumoniae antibiotic resistant strains by the drop-coating deposition surface-enhanced Raman scattering method. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2017; 183:53-59. [PMID: 28437685 DOI: 10.1016/j.saa.2017.04.044] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 04/17/2017] [Accepted: 04/18/2017] [Indexed: 06/07/2023]
Abstract
Although many methodologies have been developed to identify unknown bacteria, bacterial identification in clinical microbiology remains a complex and time-consuming procedure. To address this problem, we developed a label-free method for rapidly identifying clinically relevant multilocus sequencing typing-verified quinolone-resistant Klebsiella pneumoniae strains. We also applied the method to identify three strains from colony samples, ATCC70063 (control), ST11 and ST15; these are the prevalent quinolone-resistant K. pneumoniae strains in East Asia. The colonies were identified using a drop-coating deposition surface-enhanced Raman scattering (DCD-SERS) procedure coupled with a multivariate statistical method. Our workflow exhibited an enhancement factor of 11.3×106 to Raman intensities, high reproducibility (relative standard deviation of 7.4%), and a sensitive limit of detection (100 pM rhodamine 6G), with a correlation coefficient of 0.98. All quinolone-resistant K. pneumoniae strains showed similar spectral Raman shifts (high correlations) regardless of bacterial type, as well as different Raman vibrational modes compared to Escherichia coli strains. Our proposed DCD-SERS procedure coupled with the multivariate statistics-based identification method achieved excellent performance in discriminating similar microbes from one another and also in subtyping of K. pneumoniae strains. Therefore, our label-free DCD-SERS procedure coupled with the computational decision supporting method is a potentially useful method for the rapid identification of clinically relevant K. pneumoniae strains.
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Affiliation(s)
- Youjin Cheong
- Department of Laboratory Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Young Jin Kim
- Department of Laboratory Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Heeyoon Kang
- Department of Laboratory Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Samjin Choi
- Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
| | - Hee Joo Lee
- Department of Laboratory Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
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Cheong Y, Jin Kim Y, Kang H, Choi S, Joo Lee H. Label-free identification of antibiotic resistant isolates of livingEscherichia coli: Pilot study. Microsc Res Tech 2016; 80:177-182. [DOI: 10.1002/jemt.22785] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 08/17/2016] [Accepted: 09/15/2016] [Indexed: 01/30/2023]
Affiliation(s)
- Youjin Cheong
- Department of Laboratory Medicine, School of Medicine; Kyung Hee University; Seoul 02447 Korea
| | - Young Jin Kim
- Department of Laboratory Medicine, School of Medicine; Kyung Hee University; Seoul 02447 Korea
| | - Heeyoon Kang
- Department of Laboratory Medicine, School of Medicine; Kyung Hee University; Seoul 02447 Korea
| | - Samjin Choi
- Department of Biomedical Engineering; College of Medicine, Kyung Hee University; Seoul 02447 Korea
| | - Hee Joo Lee
- Department of Laboratory Medicine, School of Medicine; Kyung Hee University; Seoul 02447 Korea
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