Bacteria detection method — useful for detecting contamination in food, diagnosing pathogenic infection in humans and animals and assessing bacteria in e.g. sewage or sea

Food Control ◽  
1997 ◽  
Vol 8 (1) ◽  
pp. 70
Keyword(s):  
Detection Method ◽  
Bacteria Detection ◽  
Pathogenic Infection

A simple and rapid colorimetric bacteria detection method based on bacterial inhibition of glucose oxidase-catalyzed reaction

Talanta ◽  
2019 ◽  
Vol 197 ◽  
pp. 304-309 ◽  
Author(s):  
Jiahui Sun ◽  
Jia Huang ◽  
Yulong Li ◽  
Junwei Lv ◽  
Xianting Ding
Keyword(s):  
Glucose Oxidase ◽  
Detection Method ◽  
Bacteria Detection ◽  
Bacterial Inhibition

scholarly journals Rapid ESKAPE Pathogens Detection Method using Tapered Dielectrophoresis Electrodes via Crossover Frequency Analysis

2020 ◽  
Vol 49 (12) ◽  
pp. 2913-2925
Author(s):  
Muhammad Khairulanwar Abdul Rahim ◽  
Nur Mas Ayu Jamaludin ◽  
Jacinta Santhanam ◽  
Azrul Azlan Hamzah ◽  
Muhamad Ramdzan Buyong
Keyword(s):  
Detection Method ◽  
Enterobacter Aerogenes ◽  
Multidrug Resistant ◽  
Uniform Electric Field ◽  
Bacteria Detection ◽  
Time Interval ◽  
Crossover Frequency ◽  
Eskape Pathogens ◽  
Voltage Peak ◽  
Droplet Method

This paper introduces the versatile of an electrokinetic technique by using the non-uniform electric field for dielectrophoresis (DEP) application. This technique is defined as electromicrofluidics. The potential application for portable and real time detection method of Enterococcus faecium (EF), Staphylococcus aureus (SA), Klebsiella pneumoniae (KP), Acinetobacter baumannii (AB), Pseudomonas aeruginosa (PA) and Enterobacter aerogenes (EA), which are the (ESKAPE) bacteria. The MATLAB analytical modelling was used in simulating the polarisation factor and velocities of bacteria based on Clausius-Mossotti factor (CMF). The validation of CMF simulation through the DEP experimental can be quantified based on the response of alternating current (AC) voltage applied using 6 voltage peak to peak (Vp-p) to their input frequencies from 100 to 15000 kHz. The droplet method was deployed to place properly 0.2 μL of sample onto DEP microelectrode. The velocities and crossover frequency (fxo) ranges of bacteria were determined through bacteria trajectory in specific time interval monitored by microscope attached with eyepiece camera. The applied range of input frequencies from 100 to 15000 kHz at 6 Vp-p for each bacteria were successfully identified the unique ranges of frequencies response for detection application. The advantages of this works are selective with rapid capability for multidrug resistant (MDR) bacteria detection application.

Detection of Escherichia coli O157:H7 and Salmonella enterica serotype Typhimurium based on cell elongation induced by beta-lactam antibiotics

The Analyst ◽  
2019 ◽  
Vol 144 (15) ◽  
pp. 4505-4512 ◽  
Author(s):  
Min Jia ◽  
Zhaochen Liu ◽  
Chuanchen Wu ◽  
Zhen Zhang ◽  
Luyao Ma ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Cell Elongation ◽  
Membrane Filtration ◽  
Detection Method ◽  
Bacteria Detection ◽  
Escherichia Coli O157 ◽  
Gram Negative Bacteria ◽  
Beta Lactam ◽  
Gram Negative ◽  
Beta Lactam Antibiotics

A novel Gram-negative bacteria detection method based on cell elongation combined with membrane filtration and magnetic separation was established.

scholarly journals Fast and Sensitive Bacteria Detection by Boronic Acid Modified Fluorescent Dendrimer

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3115
Author(s):  
Ayame Mikagi ◽  
Riho Tsurufusa ◽  
Yuji Tsuchido ◽  
Takeshi Hashimoto ◽  
Takashi Hayashita
Keyword(s):  
Boronic Acid ◽  
Electrostatic Interactions ◽  
Detection Method ◽  
Phenylboronic Acid ◽  
Bacteria Detection ◽  
Gram Negative Bacteria ◽  
Recognition Method ◽  
Dansyl Group ◽  
Colony Forming Units ◽  
Phenylboronic Acids

This study reports a novel, fast, easy, and sensitive detection method for bacteria which is urgently needed to diagnose infections in their early stages. Our work presents a complex of poly(amidoamine) dendrimer modified by phenylboronic acid and labeled by a fluorescent dansyl group (Dan-B8.5-PAMAM). Our system detects bacteria in 20 min with a sensitivity of approximately 104 colony-forming units (CFU)·mL−1. Moreover, it does not require any peculiar technical skills or expensive materials. The driving force for bacteria recognition is the binding between terminal phenylboronic acids on the probe and bacteria’s surface glycolipids, rather than electrostatic interactions. The aggregation caused by such binding reduces fluorescence. Even though our recognition method does not distinguish between live or dead bacteria, it shows selective antibacterial activity towards Gram-negative bacteria. This study may potentially contribute a new method for the convenient detection and killing of bacteria.

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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