Performance and application of 16S rRNA gene cycle sequencing for routine identification of bacteria in the clinical microbiology laboratory

DL Church, L Cerutti, A Gürtler, T Griener… - Clinical microbiology …, 2020 - Am Soc Microbiol
This review provides a state-of-the-art description of the performance of Sanger cycle
sequencing of the 16S rRNA gene for routine identification of bacteria in the clinical …

Methods for the detection and identification of pathogenic bacteria: past, present, and future

L Váradi, JL Luo, DE Hibbs, JD Perry… - Chemical Society …, 2017 - pubs.rsc.org
In order to retard the rate of development of antibacterial resistance, the causative agent
must be identified as rapidly as possible, so that directed patient treatment and/or contact …

[HTML][HTML] Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) analysis for the identification of pathogenic microorganisms: a …

XF Chen, X Hou, M Xiao, L Zhang, JW Cheng, ML Zhou… - Microorganisms, 2021 - mdpi.com
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS)
has been used in the field of clinical microbiology since 2010. Compared with the traditional …

[HTML][HTML] Microbial inoculants as plant biostimulants: A review on risk status

M Kumari, P Swarupa, KK Kesari, A Kumar - Life, 2022 - mdpi.com
Modern agriculture systems are copiously dependent on agrochemicals such as chemical
fertilizers and pesticides intended to increase crop production and yield. The indiscriminate …

Enzymatic Activity Profiling Using an Ultrasensitive Array of Chemiluminescent Probes for Bacterial Classification and Characterization

O Shelef, T Kopp, R Tannous, M Arutkin… - Journal of the …, 2024 - ACS Publications
Identification and characterization of bacterial species in clinical and industrial settings
necessitate the use of diverse, labor-intensive, and time-consuming protocols as well as the …

[HTML][HTML] Current scenario of pathogen detection techniques in agro-food sector

M Nehra, V Kumar, R Kumar, N Dilbaghi, S Kumar - Biosensors, 2022 - mdpi.com
Over the past-decade, agricultural products (such as vegetables and fruits) have been
reported as the major vehicles for foodborne diseases, which are limiting food resources …

[HTML][HTML] Analysis of bacteria associated with honeys of different geographical and botanical origin using two different identification approaches: MALDI-TOF MS and …

P Pomastowski, M Złoch, A Rodzik, M Ligor… - PloS one, 2019 - journals.plos.org
In the presented work identification of microorganisms isolated from various types of honeys
was performed. Martix-assisted laser desorption/ionization time-of-flight mass spectrometry …

Applications of artificial intelligence in clinical microbiology diagnostic testing

KP Smith, H Wang, TJS Durant, BA Mathison… - Clinical Microbiology …, 2020 - Elsevier
The use of artificial intelligence (AI) computer software to interpret data has become part of
our everyday lives, and these AI algorithms are becoming part of our everyday laboratory …

Fiber probe-based Raman spectroscopic identification of pathogenic infection microorganisms on agar plates

H Shen, P Rösch, J Popp - Analytical chemistry, 2022 - ACS Publications
Rapid identification of microorganisms is clinically meaningful, and it helps to decelerate the
spread of drug resistance and improve patient treatment. In this study, we present a rapid …

From hazard analysis to risk control using rapid methods in microbiology: A practical approach for the food industry

C Ripolles‐Avila, M Martínez‐Garcia… - … Reviews in Food …, 2020 - Wiley Online Library
The prevention of foodborne diseases is one of the main objectives of health authorities. To
this effect, analytical techniques to detect and/or quantify the microbiological contamination …