microbial toxicity
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2021 ◽  
Author(s):  
Kylie Yang ◽  
Jessica Boles ◽  
Lisa White ◽  
Kira Hilton ◽  
Hin Yuk Lai ◽  
...  

We report investigations into the cation transport ability of a series of antimicrobial supramolecular, self-associating amphiphiles (SSAs). The SSAs proved to be challenging to study using standard, literature assays and we therefore describe a novel methodology to examine cation transport via a chloride co-transport assay. One SSA in this series was observed to function as a K+ and Na+ transporter with promising deliverability properties. The results shed light on a potential mechanism of microbial toxicity and inform the design of future targets.







Author(s):  
Ibrahim Waziri ◽  
Mustafa A. Isa ◽  
Molahlehi Sonopo ◽  
D. Bradley G. Williams ◽  
Alfred Muller


2021 ◽  
Vol 219 ◽  
pp. 112374
Author(s):  
Anfei He ◽  
Zilan Zhang ◽  
Qi Yu ◽  
Kan Yang ◽  
G. Daniel Sheng
Keyword(s):  


Author(s):  
Sadhasivam Sathya ◽  
Yong Taik Lim ◽  
Shanmugam Parthasarathi ◽  
Ponnurengam Malliappan Sivakumar ◽  
Rajeshwari-Srinivasan Kaarmukhil Nilavan


2021 ◽  
Author(s):  
Chris Daniel Philus ◽  
Biswanath Mahanty

Abstract Microbial toxicity of test substances in tetrazolium assay is often quantified while referring to IC50 values. However, the implication of such estimates is very limited and can differ across studies depending on prevailing test conditions. In this work, a factorial design-based end-point microbial assay was adopted, which suggests significant interaction (P = 0.041) between inoculum and tetrazolium dose on formazan production. A dynamic model framework was proposed to be incorporated in toxicity assay, that not only captures the nonlinear interdependency between biomass, substrate, formazan content but also measure the toxicity in terms of inhibition parameter. Microbial growth, glucose uptake, formazan production in presence and absence of heavy metal toxicant (Cu2+) in designed batch studies were utilized for sequential estimation of model parameters and their bootstrap confidence intervals. A logistic growth model (R2 > 0.96) with multiplicative inhibition terms fit the experimental data reasonably well. Dynamic relative sensitivity analysis revealed that both microbial growth and formazan production profiles were sensitive to toxicant inhibition parameter. The adoption of a dynamic model framework as a stable index for the toxic potential of test substances can be extended to design a versatile, robust in-vitro assay system.



Author(s):  
Xi-Zhi Niu ◽  
Jim A. Field ◽  
Rodrigo Paniego ◽  
Richard D. Pepel ◽  
Jon Chorover ◽  
...  


Author(s):  
Lahiru N. Jayakody ◽  
Christopher W. Johnson ◽  
Jason M. Whitham ◽  
Richard J. Giannone ◽  
Brenna A. Black ◽  
...  

Correction for ‘Thermochemical wastewater valorization via enhanced microbial toxicity tolerance’ by Lahiru N. Jayakody et al., Energy Environ. Sci., 2018, 11, 1625–1638, DOI: 10.1039/C8EE00460A.



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