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Fluorescence spectroscopy was examined as a potential technique for identification and classification of bacterial pathogens. Colonies of Staphylococcus aureus, Pseudomonas aeruginosa, Salmonella typhi, and Klebsiella pneumoniae on agar plates were measured directly using a laboratory spectrofluorimeter coupled with optical fiber. Steady state fluorescence spectra were collected following excitation at 280 nm (tryptophan) and 380 nm (NADH). Results showed that fluorescence lifetime decays of tryptophan at 280 nm excitation from the four organisms were best described with triexponential fit and it reveals the existence of different protein conformation. The emission spectroscopy of the four bacteria at 380 nm excitation (NADH) provided better classification (100% of original grouped cases correctly classified and 98.1% of cross-validated grouped cases correctly classified) than that of 280 nm excitation (tryptophan). Our results demonstrated that optical fiber-based fluorescence identification and classification of bacteria is rapid, easy to perform, and of low cost compared to standard methods.
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http://dx.doi.org/10.1155/2014/430412 | DOI Listing |
Ann Hematol
September 2025
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Approximately 30-40% of diffuse large B-cell lymphoma (DLBCL) patients will develop relapse/refractory disease, who may benefit from novel therapies, such as CAR-T cell therapy. Thus, accurate identification of individuals at high risk of early chemoimmunotherapy failure (ECF) is crucial. Methods.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Teaching Veterinary Clinical Complex, CVAS, KVASU, Thrissur, Kerala, 680651, India.
Background: Ear canker in domestic rabbits is caused by infestations of non-burrowing parasitic mites, Psoroptes spp., but the specific species responsible for these infestations remains unclear. This study reports the clinical signs and performs the molecular characterization and phylogenetic analysis of Psoroptes ovis isolated from the ear canal of a domestic rabbit in South India.
View Article and Find Full Text PDFmSystems
September 2025
Center for Infection Biology, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
Human-associated metagenomic data often contain human nucleic acid information, which can affect the accuracy of microbial classification or raise ethical concerns. These reads are typically removed through alignment to the human genome using various metagenomic mapping tools or human reference genomes, followed by filtration before metagenomic analysis. In this study, we conducted a comprehensive analysis to identify the optimal combination of alignment software and human reference genomes using benchmarking data.
View Article and Find Full Text PDFCancer Med
September 2025
Department of Computer Engineering, Social and Biological Network Analysis Laboratory, University of Kurdistan, Sanandaj, Iran.
Background: Ovarian cancer (OC) remains the most lethal gynecological malignancy, largely due to its late-stage diagnosis and nonspecific early symptoms. Advances in biomarker identification and machine learning offer promising avenues for improving early detection and prognosis. This review evaluates the role of biomarker-driven ML models in enhancing the early detection, risk stratification, and treatment planning of OC.
View Article and Find Full Text PDFExp Ther Med
October 2025
Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, 71003 Heraklion, Greece.
Immune-related factors may serve an important role in the development of endometriosis, considering the occurrence of substantial abnormalities in the immune system of women with endometriosis, including reduced T-cell reactivity and natural killer cell cytotoxicity, as well as increased numbers and activation of peritoneal macrophages. Moreover, women suffering from endometriosis are at a higher risk for developing various autoimmune diseases as comorbidities of endometriosis. Recent epidemiological data demonstrate that patients with endometriosis have a significantly higher risk (2.
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