1
|
Baccari O, Barkallah M, Elleuch J, Ben Ayed N, Chtourou A, Karray-Hakim H, Hammami A, Michaud P, Fendri I, Abdelkafi S. A new TaqMan real-time PCR assay to detect Parachlamydia acanthamoebae and to monitor its co-existence with SARS-COV-2 among COVID-19 patients. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17564-17572. [PMID: 36195814 PMCID: PMC9532228 DOI: 10.1007/s11356-022-23227-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
Human respiratory infections caused by a large variety of microbial pathogens are the most common diseases responsible for hospitalization, morbidity and mortality. Parachlamydia acanthamoebae, a Chlamydia-related bacterium, has been found to be potentially associated with these diseases. An early and accurate diagnosis of this pathogen could be useful to avoid the potential respiratory complications linked especially to COVID-19 patients and to set suitable outbreak control measures. A TaqMan-PCR assay was developed to detect and quantify Parachlamydia acanthamoebae in environmental and clinical samples from patients of all ages with COVID-19. The selected hydrolysis probe displayed no cross-reaction with the closely related Chlamydia or the other tested pathogens. This q-PCR achieved good reproducibility and repeatability with a detection limit of about 5 DNA copies per reaction. Using this q-PCR assay, Parachlamydia acanthamoebae was detected in 2/78 respiratory specimens and 9/47 water samples. Only one case (1.3%) of Parachlamydia acanthamoebae and SARS-COV-2 co-infection was noticed. To our knowledge, the combination of these two respiratory pathogens has not been described yet. This new TaqMan-PCR assay represents an efficient diagnostic tool to survey Parachlamydia acanthamoebae on a large-scale screening programs and also during outbreaks.
Collapse
Affiliation(s)
- Olfa Baccari
- Laboratoire de Génie Enzymatique et Microbiologie, Equipe de Biotechnologie des Algues, Ecole Nationale d'Ingénieurs de Sfax, Université de Sfax, 3038, Sfax, Tunisia
| | - Mohamed Barkallah
- Laboratoire de Génie Enzymatique et Microbiologie, Equipe de Biotechnologie des Algues, Ecole Nationale d'Ingénieurs de Sfax, Université de Sfax, 3038, Sfax, Tunisia
| | - Jihen Elleuch
- Laboratoire de Génie Enzymatique et Microbiologie, Equipe de Biotechnologie des Algues, Ecole Nationale d'Ingénieurs de Sfax, Université de Sfax, 3038, Sfax, Tunisia
| | - Nourelhouda Ben Ayed
- Laboratory of Microbiology, Faculty of Medicine of Sfax, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Amel Chtourou
- Laboratory of Microbiology, Faculty of Medicine of Sfax, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Héla Karray-Hakim
- Laboratory of Microbiology, Faculty of Medicine of Sfax, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Adenene Hammami
- Laboratory of Microbiology, Faculty of Medicine of Sfax, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Philippe Michaud
- Institut Pascal, Université Clermont Auvergne, CNRS, Clermont Auvergne INP, 63000, Clermont-Ferrand, France
| | - Imen Fendri
- Laboratoire de Biotechnologie Végétale Appliquée à l'Amélioration des Cultures, Faculté des Sciences de Sfax, Université de Sfax, 3038, Sfax, Tunisia
| | - Slim Abdelkafi
- Laboratoire de Génie Enzymatique et Microbiologie, Equipe de Biotechnologie des Algues, Ecole Nationale d'Ingénieurs de Sfax, Université de Sfax, 3038, Sfax, Tunisia.
| |
Collapse
|
2
|
Khalid SA, Hassan RYA, El Nashar RM, El-Sherbiny IM. Voltammetric determination of Salmonella typhimurium in minced beef meat using a chip-based imprinted sensor. RSC Adv 2022; 12:3445-3453. [PMID: 35425402 PMCID: PMC8979253 DOI: 10.1039/d1ra08526c] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 01/18/2022] [Indexed: 12/22/2022] Open
Abstract
Early detection of pathogens is necessary for food quality monitoring, and increasing the survival rate of individuals. Conventional microbiological methods used to identify microorganisms, starting from bacterial culture and ending with advanced PCR gene identification, are time-consuming, laborious and expensive. Thus, in this study, a bacterial imprinted polymer (BIP)-based biosensor was designed and fabricated for rapid and selective detection of Salmonella typhimurium. Bio-recognition sites were made by creating template-shaped cavities in the electro-polymerized polydopamine matrices on a gold screen-printed electrode. The overall changes of the sensor, during the imprinting process, have been investigated with cyclic voltammetry, atomic force microscopy and scanning electron microscopy. The assay optimization and validation were accomplished, hence the highest sensitivity and selectivity towards S. typhimurium were achieved. As a result, a very low limit of detection of 47 CFU ml−1, and a limit of quantification of 142 CFU ml−1 were achieved using the newly-developed biosensor. No interference signals were detected when the S. typhimurium was tested in a mixed culture with other non-targeted pathogens such as Staphylococcus aureus, Listeria monocytogenes and Campylobacter jejuni. Eventually, the biosensor was applied to minced beef meat samples offering not only fast detection but also direct determination with no bacterial enrichment steps. A bacterial imprinted polymer (BIP)-based biosensor was designed and fabricated for rapid and selective detection of Salmonella typhimurium in minced beef meat.![]()
Collapse
Affiliation(s)
- Shaimaa A. Khalid
- Nanomedicine Research Labs, Center for Materials Science, Zewail City of Science and Technology, 6th October City, 12578 Giza, Egypt
- Food Hygiene Department, Animal Health Research Institute (AHRI), Agricultural Research Center (ARC), Egypt
| | - Rabeay Y. A. Hassan
- Nanomedicine Research Labs, Center for Materials Science, Zewail City of Science and Technology, 6th October City, 12578 Giza, Egypt
- Applied Organic Chemistry Department, National Research Centre (NRC), Dokki, 12622, Giza, Egypt
| | | | - Ibrahim M. El-Sherbiny
- Nanomedicine Research Labs, Center for Materials Science, Zewail City of Science and Technology, 6th October City, 12578 Giza, Egypt
| |
Collapse
|
3
|
Marbjerg LH, Holzknecht BJ, Dargis R, Dessau RB, Nielsen XC, Christensen JJ. Commercial bacterial and fungal broad-range PCR (Micro-Dx™) used on culture-negative specimens from normally sterile sites: diagnostic value and implications for antimicrobial treatment. Diagn Microbiol Infect Dis 2020; 97:115028. [PMID: 32278620 DOI: 10.1016/j.diagmicrobio.2020.115028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/09/2020] [Accepted: 02/20/2020] [Indexed: 10/24/2022]
Abstract
The aim of this study was to evaluate the clinical value of partial 16S/18S rRNA gene sequencing with the commercial kit Micro-Dx™ used with the SelectNA™plus instrument on culture-negative samples. A retrospective study of microbiological and clinical data from a 2.5-year period was performed. Assessment of the clinical relevance of the 16S/18S rRNA gene sequencing results was based on evaluation of the results in the clinical context and changes in antimicrobial therapy. Included were 529 samples from 223 patients, representing 251 episodes. In 191 samples (36.1%), bacterial/fungal DNA was detected. Positive results were judged clinically relevant in 79 (31.5%) episodes. Antimicrobial treatment was adjusted according to the 16S/18S rRNA gene sequence analysis result in 42 (16.7%) episodes. The results from 16S/18S rRNA gene sequence analysis were highly clinically relevant. These findings support the use of this analysis in a routine setting.
Collapse
Affiliation(s)
- L H Marbjerg
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark; Department of Clinical microbiology, Odense University Hospital, Odense, Denmark; Department of Clinical microbiology, Vejle Hospital, Vejle, Denmark.
| | - B J Holzknecht
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark; Department of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark
| | - R Dargis
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark
| | - R B Dessau
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark; Department of Regional Health Research, University of Southern Denmark
| | - X C Nielsen
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark
| | - J J Christensen
- Department of Clinical Microbiology, Slagelse Hospital, Region Zealand, Denmark; Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
4
|
Abstract
Pneumonia is a highly prevalent disease with considerable morbidity and mortality. However, diagnosis and therapy still rely on antiquated methods, leading to the vast overuse of antimicrobials, which carries risks for both society and the individual. Furthermore, outcomes in severe pneumonia remain poor. Genomic techniques have the potential to transform the management of pneumonia through deep characterization of pathogens as well as the host response to infection. This characterization will enable the delivery of selective antimicrobials and immunomodulatory therapy that will help to offset the disorder associated with overexuberant immune responses.
Collapse
Affiliation(s)
- Samir Gautam
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA
| | - Lokesh Sharma
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA
| | - Charles S Dela Cruz
- Pulmonary Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale University, 300 Cedar Street, TACS441, New Haven, CT 06520-8057, USA.
| |
Collapse
|
5
|
Cheng D, Qiao L, Horvatovich P. Toward Spectral Library-Free Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Bacterial Identification. J Proteome Res 2018; 17:2124-2130. [PMID: 29749232 PMCID: PMC5989274 DOI: 10.1021/acs.jproteome.8b00065] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Bacterial
identification is of great importance in clinical diagnosis,
environmental monitoring, and food safety control. Among various strategies,
matrix-assisted laser desorption/ionization time-of-flight mass spectrometry
(MALDI-TOF MS) has drawn significant interest and has been clinically
used. Nevertheless, current bioinformatics solutions use spectral
libraries for the identification of bacterial strains. Spectral library
generation requires acquisition of MALDI-TOF spectra from monoculture
bacterial colonies, which is time-consuming and not possible for many
species and strains. We propose a strategy for bacterial typing by
MALDI-TOF using protein sequences from public database, that is, UniProt.
Ten genes were identified to encode proteins most often observed by
MALD-TOF from bacteria through 500 times repeated a 10-fold double
cross-validation procedure, using 403 MALDI-TOF spectra corresponding
to 14 genera, 81 species, and 403 strains, and the protein sequences
of 1276 species in UniProt. The 10 genes were then used to annotate
peaks on MALDI-TOF spectra of bacteria for bacterial identification.
With the approach, bacteria can be identified at the genus level by
searching against a database containing the protein sequences of 42
genera of bacteria from UniProt. Our approach identified 84.1% of
the 403 spectra correctly at the genus level. Source code of the algorithm
is available at https://github.com/dipcarbon/BacteriaMSLF.
Collapse
Affiliation(s)
- Ding Cheng
- Department of Chemistry, Shanghai Stomatological Hospital , Fudan University , Shanghai 200000 , China
| | - Liang Qiao
- Department of Chemistry, Shanghai Stomatological Hospital , Fudan University , Shanghai 200000 , China
| | - Peter Horvatovich
- Department of Pharmacy , University of Groningen , 9700 AD Groningen , The Netherlands
| |
Collapse
|
6
|
Electrochemical bacterial detection using poly(3-aminophenylboronic acid)-based imprinted polymer. Biosens Bioelectron 2016; 93:87-93. [PMID: 27751788 DOI: 10.1016/j.bios.2016.09.088] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 09/20/2016] [Accepted: 09/24/2016] [Indexed: 01/10/2023]
Abstract
Biosensors can deliver the rapid bacterial detection that is needed in many fields including food safety, clinical diagnostics, biosafety and biosecurity. Whole-cell imprinted polymers have the potential to be applied as recognition elements in biosensors for selective bacterial detection. In this paper, we report on the use of 3-aminophenylboronic acid (3-APBA) for the electrochemical fabrication of a cell-imprinted polymer (CIP). The use of a monomer bearing a boronic acid group, with its ability to specifically interact with cis-diol, allowed the formation of a polymeric network presenting both morphological and chemical recognition abilities. A particularly beneficial feature of the proposed approach is the reversibility of the cis-diol-boronic group complex, which facilitates easy release of the captured bacterial cells and subsequent regeneration of the CIP. Staphylococcus epidermidis was used as the model target bacteria for the CIP and electrochemical impedance spectroscopy (EIS) was explored for the label-free detection of the target bacteria. The modified electrodes showed a linear response over the range of 103-107cfu/mL. A selectivity study also showed that the CIP could discriminate its target from non-target bacteria having similar shape. The CIPs had high affinity and specificity for bacterial detection and provided a switchable interface for easy removal of bacterial cell.
Collapse
|
7
|
Abstract
Infected non-union is a devastating complication post fracture fixation. While its incidence is small, its management is lengthy, challenging and costly. Complex reconstruction surgery is often required with unpredictable outcomes despite the significant advances that have been made in diagnostics, surgical techniques and antibiotic protocols. In this article we present recent approaches to the surgical treatment of this condition.
Collapse
|
8
|
Flandrois JP, Perrière G, Gouy M. leBIBIQBPP: a set of databases and a webtool for automatic phylogenetic analysis of prokaryotic sequences. BMC Bioinformatics 2015; 16:251. [PMID: 26264559 PMCID: PMC4531848 DOI: 10.1186/s12859-015-0692-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 07/31/2015] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Estimating the phylogenetic position of bacterial and archaeal organisms by genetic sequence comparisons is considered as the gold-standard in taxonomy. This is also a way to identify the species of origin of the sequence. The quality of the reference database used in such analyses is crucial: the database must reflect the up-to-date bacterial nomenclature and accurately indicate the species of origin of its sequences. DESCRIPTION leBIBI(QBPP) is a web tool taking as input a series of nucleotide sequences belonging to one of a set of reference markers (e.g., SSU rRNA, rpoB, groEL2) and automatically retrieving closely related sequences, aligning them, and performing phylogenetic reconstruction using an approximate maximum likelihood approach. The system returns a set of quality parameters and, if possible, a suggested taxonomic assigment for the input sequences. The reference databases are extracted from GenBank and present four degrees of stringency, from the "superstringent" degree (one type strain per species) to the loosely parsed degree ("lax" database). A set of one hundred to more than a thousand sequences may be analyzed at a time. The speed of the process has been optimized through careful hardware selection and database design. CONCLUSION leBIBI(QBPP) is a powerful tool helping biologists to position bacterial or archaeal sequence commonly used markers in a phylogeny. It is a diagnostic tool for clinical, industrial and environmental microbiology laboratory, as well as an exploratory tool for more specialized laboratories. Its main advantages, relatively to comparable systems are: i) the use of a broad set of databases covering diverse markers with various degrees of stringency; ii) the use of an approximate Maximum Likelihood approach for phylogenetic reconstruction; iii) a speed compatible with on-line usage; and iv) providing fully documented results to help the user in decision making.
Collapse
Affiliation(s)
- Jean-Pierre Flandrois
- Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard - Lyon 1, 43 bd. du 11 Novembre 1918, Villeurbanne, 69622, France.
| | - Guy Perrière
- Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard - Lyon 1, 43 bd. du 11 Novembre 1918, Villeurbanne, 69622, France.
| | - Manolo Gouy
- Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard - Lyon 1, 43 bd. du 11 Novembre 1918, Villeurbanne, 69622, France.
| |
Collapse
|
9
|
Krizkova S, Nguyen HV, Stanisavljevic M, Kopel P, Vaculovicova M, Adam V, Kizek R. Microchip capillary electrophoresis: quantum dots and paramagnetic particles for bacteria immunoseparation: rapid superparamagnetic-beads-based automated immunoseparation of Zn-Proteins from Staphylococcus aureus with nanogram yield. Methods Mol Biol 2015; 1274:67-79. [PMID: 25673483 DOI: 10.1007/978-1-4939-2353-3_6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The emergence of drug-resistant bacteria and new or changing infectious pathogens is an important public health problem as well as a serious socioeconomic concern. Immunomagnetic separation-based methods create new possibilities for rapidly recognizing many of these pathogens. Nanomaterial-based techniques including fluorescent labeling by quantum dots as well as immunoextraction by magnetic particles are excellent tools for such purposes. Moreover, the combination with capillary electrophoresis in miniaturized microchip arrangement brings numerous benefits such as fast and rapid analysis, low sample consumption, very sensitive electrochemical and fluorescent detection, portable miniaturized instrumentation, and rapid and inexpensive device fabrication. Here the use of superparamagnetic particle-based fully automated instrumentation to isolate pathogen Staphylococcus aureus and its Zn(II)-containing proteins (Zn-proteins) is reported using a robotic pipetting system speeding up the sample preparation and enabling to analyze 48 real samples within 6 h. Cell lysis and Zn-protein extractions were obtained from a minimum of 100 cells with the sufficient yield for SDS-PAGE (several tens ng of proteins).
Collapse
Affiliation(s)
- Sona Krizkova
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University, Zemedelska 1, 613 00, Brno, Czech Republic, European Union
| | | | | | | | | | | | | |
Collapse
|
10
|
Paliwal S, Hwang BH, Tsai KY, Mitragotri S. Diagnostic opportunities based on skin biomarkers. Eur J Pharm Sci 2013; 50:546-56. [DOI: 10.1016/j.ejps.2012.10.009] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 10/14/2012] [Accepted: 10/17/2012] [Indexed: 12/20/2022]
|
11
|
Bissonnette L, Bergeron MG. Multiparametric technologies for the diagnosis of syndromic infections. ACTA ACUST UNITED AC 2012. [DOI: 10.1016/j.clinmicnews.2012.09.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
|
12
|
Kemp M, Dargis R, Andresen K, Christensen JJE. A program against bacterial bioterrorism: improved patient management and acquisition of new knowledge on infectious diseases. Biosecur Bioterror 2012; 10:203-7. [PMID: 22571372 DOI: 10.1089/bsp.2011.0055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In 2002 it was decided to establish laboratory facilities in Denmark for diagnosing agents associated with bioterrorism in order to make an immediate appropriate response to the release of such agents possible. Molecular assays for detection of specific agents and molecular and proteomic techniques for identification of bacteria were introduced as part of the program. All assays and techniques were made accessible for use in diagnosing patients, even when an intentional release was not suspected. Medical expertise on different diseases was established at the department as an integrated part of the program. The analyses included PCR assays for specific bacteria, identification of isolated bacteria by DNA sequencing, detection and identification of bacteria in clinical sample material by universal bacterial PCR and DNA sequencing, and identification of bacteria by mass spectrometry. The established analyses formed a basis on which a series of further developments was built. In addition to reducing the time for obtaining diagnoses and improving the accuracy of diagnosis of individual infected patients, the analyses provided new knowledge on the frequency and distribution of some bacterial infections, including Q fever, tularemia, trench fever, brucellosis, and melioidosis. The implementation of an antibioterrorism program in a clinical diagnostic setting improved the diagnostic possibilities for patients in Denmark and provided new epidemiologic information. It also introduced a number of diagnostic assays for bacterial infections not associated with bioterrorism that are difficult to culture or identify.
Collapse
Affiliation(s)
- Michael Kemp
- Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
| | | | | | | |
Collapse
|
13
|
Molecular identification of vaginal fluid by microbial signature. Forensic Sci Int Genet 2012; 6:559-64. [PMID: 22364791 DOI: 10.1016/j.fsigen.2012.01.005] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2011] [Revised: 01/17/2012] [Accepted: 01/24/2012] [Indexed: 11/22/2022]
Abstract
The discrimination of body fluids in forensic examinations can play an important role in crime scene reconstruction. Conventional methods rely on the detection of antigens or enzymatic activity, limiting detection sensitivity and specificity, particularly on old forensic samples. Methods based on human RNA analysis are not easily applicable to samples exposed to harsh and degrading environments. An alternative approach based on the identification of prokaryotic genomes was developed. Specific bacterial communities are characteristic typical of different human non-sterile body fluids: the molecular characterization of a microbial signature, and not the typing of single bacterial species, can effectively lead to univocal identification of these fluids. A multiplex real time PCR assay was developed using oligonucleotide mixtures targeting genomes specific for a selected group of bacteria. Microflora DNA (mfDNA) was extracted from vaginal, oral and fecal clinical swabs. In addition forensic samples were processed. Vaginal samples showed a strong specific signal for bacteria of the female genital tract. Oral samples clearly showed signal for bacteria present in saliva, and in fecal samples the main signal was from Enterococcaceae. Vaginal casework samples showed results comparable to freshly collected ones; moreover the DNA extracted was successfully used for STR typing. Also mixtures of body fluids were analyzed, providing a microbiological signature compatible with the presence of microbes of oral, fecal and vaginal origin. The presented method can be useful in identifying biological fluids, and it is based on DNA technologies already available in forensic laboratories and feasible for further high throughput automation.
Collapse
|
14
|
Raman Spectroscopy of Bacterial Species and Strains Cultivated under Reproducible Conditions. ACTA ACUST UNITED AC 2012. [DOI: 10.1155/2012/540490] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Rapid and reproducible discrimination between bacterial pathogens is a clear goal in microbiological laboratories when processing infected clinical samples. In this study Raman spectra were taken from at least 30 colonies of four strains of bacteria includingStaphylococcus epidermidis(1457 and 9142) andEscherichia coli(K12 and Top 10) using the Renishawin ViaRaman microscope system. Analysis based on principal components suggests that even strain differentiation (e.g., 1457 versus 9142 or K12 versus Top10) is possible.
Collapse
|