A fluorescence model of the murine lung for optical detection of pathogenic bacteria

Author(s):  
Madeleine S. Durkee ◽  
Kristen C. Maitland ◽  
Jeffrey D. Cirillo
Molecules ◽  
2020 ◽  
Vol 25 (22) ◽  
pp. 5256
Author(s):  
Andrea Locke ◽  
Sean Fitzgerald ◽  
Anita Mahadevan-Jansen

Bacterial infection is a global burden that results in numerous hospital visits and deaths annually. The rise of multi-drug resistant bacteria has dramatically increased this burden. Therefore, there is a clinical need to detect and identify bacteria rapidly and accurately in their native state or a culture-free environment. Current diagnostic techniques lack speed and effectiveness in detecting bacteria that are culture-negative, as well as options for in vivo detection. The optical detection of bacteria offers the potential to overcome these obstacles by providing various platforms that can detect bacteria rapidly, with minimum sample preparation, and, in some cases, culture-free directly from patient fluids or even in vivo. These modalities include infrared, Raman, and fluorescence spectroscopy, along with optical coherence tomography, interference, polarization, and laser speckle. However, these techniques are not without their own set of limitations. This review summarizes the strengths and weaknesses of utilizing each of these optical tools for rapid bacteria detection and identification.


2020 ◽  
Vol 159 ◽  
pp. 105324
Author(s):  
Abhishek Pathak ◽  
Parvathy Venugopal ◽  
Bipin G. Nair ◽  
Punathil Vasu Suneesh ◽  
T.G. Satheesh Babu

2006 ◽  
Vol 37 (7) ◽  
pp. 48
Author(s):  
ERIK GOLDMAN
Keyword(s):  

2010 ◽  
Vol 80 (45) ◽  
pp. 279-292 ◽  
Author(s):  
Richard Hurrell

Febrile malaria and asymptomatic malaria parasitemia substantially decrease iron absorption in single-meal, stable isotope studies in women and children, but to date there is no evidence of decreased efficacy of iron-fortified foods in malaria-endemic regions. Without inadequate malarial surveillance or health care, giving iron supplements to children in areas of high transmission could increase morbidity and mortality. The most likely explanation is the appearance of non-transferrin-bound iron (NTBI) in the plasma. NTBI forms when the rate of iron influx into the plasma exceeds the rate of iron binding to transferrin. Two studies in women have reported substantially increased NTBI with the ingestion of iron supplements. Our studies confirm this, but found no significant increase in NTBI on consumption of iron-fortified food. It seems likely that the malarial parasite in hepatocytes can utilize NTBI, but it cannot do so in infected erythrocytes. NTBI however may increase the sequestration of parasite-infected erythrocytes in capillaries. Bacteremia is common in children with severe malaria and sequestration in villi capillaries could lead to a breaching of the intestinal barrier, allowing the passage of pathogenic bacteria into the systemic circulation. This is especially important as frequent high iron doses increase the number of pathogens in the intestine at the expense of the barrier bacteria.


1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1447-C8-1448
Author(s):  
T. Tsuboi ◽  
R. Laiho
Keyword(s):  

Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
AL Magalhães ◽  
G Melo ◽  
N Gabriel ◽  
G Gabas ◽  
G Gonçalves ◽  
...  

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Wanda Aulya ◽  
Fadhliani Fadhliani ◽  
Vivi Mardina

Water is the main source for life and also the most severe substance caused by pollution. The mandatory parameters for determining microbiological quality of drinking water are total non-fecal Coliform bacteria and Coliform fecal (Escherichia coli). Coliform bacteria are a group of microorganisms commonly used as indicators, where these bacteria can be a signal to determine whether a water source has been contaminated by bacteria or not, while fecal Coliform bacteria are indicator bacteria polluting pathogenic bacteria originating from human feces and warm-blooded animals (mammals) . The water inspection method in this study uses the MPN (Most Probable Number) method which consists of 3 tests, namely, the presumption test, the affirmation test, and the reinforcement test. The results showed that of 15 drinking water samples 8 samples were tested positive for Coliform bacteria with the highest total bacterial value of sample number 1, 15 (210/100 ml), while 7 other samples were negative. From 8 positive Coliform samples only 1 sample was stated to be negative fecal Coliform bacteria and 7 other samples were positive for Coliform fecal bacteria with the highest total bacterial value of sample number 1 (210/100 ml).


Sign in / Sign up

Export Citation Format

Share Document