ScanDrop Diagnostic Approach for Rapid Microbial Detection and Antibiotic Susceptibility Analysis

2016 ◽  
Author(s):  
Pooja Sabhachandani
Keyword(s):  
Antibiotic Susceptibility ◽  
Diagnostic Approach ◽  
Microbial Detection ◽  
Susceptibility Analysis ◽  
Rapid Microbial Detection

A Study Into the Use of Milliflex Quantum as Rapid Microbial Detection Method for Microorganisms in Pharmaceutical...

2021 ◽  
Author(s):  
Tim Sandle
Keyword(s):  
Membrane Filtration ◽  
Culture Medium ◽  
Good Manufacturing Practice ◽  
Water Systems ◽  
Problem Of Time ◽  
Microbial Detection ◽  
Alternative Approach ◽  
Microbiological Methods ◽  
Quality Control Testing ◽  
Rapid Microbial Detection

Control of pharmaceutical water systems represents an essential part of Good Manufacturing Practice and embedded within this is the quality control testing of water systems for viable microorganisms, and subjecting the data obtained to trend analysis. This has traditionally been achieved by membrane filtration and the use of a culture medium. While such test methodologies can recover a level of the bioburden present, the incubation times are lengthy. To address the problem of time-to-result, rapid microbiological methods offer an alternative approach. One such example is the Milliflex Quantum, which is the focus of this article.

scholarly journals Rapid Microbial Detection Model System in UHT Milk Products using Poly(L-Lactic Acid) (PLLA) Thin Film

2018 ◽  
Vol 47 (11) ◽  
pp. 2677-2683 ◽  
Author(s):  
Nurul Hidayah Yusof ◽  
Norrakiah Abdullah Sani ◽  
Farah Hannan Anuar ◽  
Mohd Suzeren Jamil ◽  
Saiful Irwan Zubairi
Keyword(s):  
Thin Film ◽  
Lactic Acid ◽  
Model System ◽  
Milk Products ◽  
Microbial Detection ◽  
Uht Milk ◽  
Detection Model ◽  
Rapid Microbial Detection

scholarly journals Potential of Flow Cytometric Approaches for Rapid Microbial Detection and Chracterization in the Food Industry—A Review

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3112
Author(s):  
Elena Zand ◽  
Antje Froehling ◽  
Christoph Schoenher ◽  
Marija Zunabovic-Pichler ◽  
Oliver Schlueter ◽  
...  
Keyword(s):  
Microbial Contamination ◽  
Microbial Detection ◽  
Critical Areas ◽  
Flow Cytometric ◽  
High Workload ◽  
Food Quality And Safety ◽  
Staining Methods ◽  
Rapid Microbial Detection

As microbial contamination is persistent within the food and bioindustries and foodborne infections are still a significant cause of death, the detection, monitoring, and characterization of pathogens and spoilage microorganisms are of great importance. However, the current methods do not meet all relevant criteria. They either show (i) inadequate sensitivity, rapidity, and effectiveness; (ii) a high workload and time requirement; or (iii) difficulties in differentiating between viable and non-viable cells. Flow cytometry (FCM) represents an approach to overcome such limitations. Thus, this comprehensive literature review focuses on the potential of FCM and fluorescence in situ hybridization (FISH) for food and bioindustry applications. First, the principles of FCM and FISH and basic staining methods are discussed, and critical areas for microbial contamination, including abiotic and biotic surfaces, water, and air, are characterized. State-of-the-art non-specific FCM and specific FISH approaches are described, and their limitations are highlighted. One such limitation is the use of toxic and mutagenic fluorochromes and probes. Alternative staining and hybridization approaches are presented, along with other strategies to overcome the current challenges. Further research needs are outlined in order to make FCM and FISH even more suitable monitoring and detection tools for food quality and safety and environmental and clinical approaches.

scholarly journals Core Antibiotic-Induced Transcriptional Signatures Reflect Susceptibility to All Members of an Antibiotic Class

2021 ◽  
Author(s):  
Melanie A. Martinsen ◽  
Alexis Jaramillo Cartagena ◽  
Roby P. Bhattacharyya
Keyword(s):  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Diagnostic Approach ◽  
Antibiotic Susceptibility Testing ◽  
Beta Lactam ◽  
Early Therapy ◽  
Current Growth

Current growth-based antibiotic susceptibility testing (AST) is too slow to guide early therapy. We previously developed a diagnostic approach that quantifies antibiotic-induced transcriptional signatures to distinguish susceptible from resistant isolates, providing phenotypic AST 24-36h faster than current methods. Here, we show that 10 transcripts optimized for AST of one fluoroquinolone, aminoglycoside, or beta-lactam reflect susceptibility when the organism is exposed to other members of that class. This finding will streamline development and implementation of this strategy, facilitating efficient antibiotic deployment.

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