scholarly journals Developing a biosensor for estrogens in water samples: Study of the real-time response of live cells of the estrogen-sensitive yeast strain RMY/ER-ERE using fluorescence microscopy

2006 ◽  
Vol 21 (8) ◽  
pp. 1654-1658 ◽  
Author(s):  
E. Wozei ◽  
S.W. Hermanowicz ◽  
H-Y.N. Holman
The Analyst ◽  
2018 ◽  
Vol 143 (1) ◽  
pp. 250-257 ◽  
Author(s):  
Soham Samanta ◽  
Senjuti Halder ◽  
Poulomi Dey ◽  
Utsab Manna ◽  
Aiyagari Ramesh ◽  
...  

A new water soluble and fluorogenic probe (L) that can demonstrate the specific ratiometric detection of a SO2derivative (SO32−) in 100% aqueous medium and live cells has been designed and synthesized.


2019 ◽  
Vol 55 (65) ◽  
pp. 9653-9656 ◽  
Author(s):  
Huitong Du ◽  
Xinyue Zhang ◽  
Zhe Liu ◽  
Fengli Qu

A self-supported MoS2 nanosheet biosensor for highly sensitive detection of H2O2 secreted from live cells.


2019 ◽  
Vol 7 (8) ◽  
pp. 230 ◽  
Author(s):  
Zhao ◽  
Xia ◽  
Liu

Various constituents in food specimens can inhibit the PCR assay and lead to false-negative results. An internal amplification control was employed to monitor the presence of false-negative results in PCR amplification. In this study, the objectives were to compare the real-time PCR-based method by introducing a competitive internal amplification control (IAC) for the detection of Escherichia O157:H7 with respect to the specificity of the primers and probes, analytical sensitivity, and detection limits of contamination-simulated drinking water. Additionally, we optimized the real-time fluorescent PCR detection system for E. coli O157:H7. The specificity of primers and probes designed for the rfbE gene was evaluated using four kinds of bacterial strains, including E. coli O157:H7, Staphylococcus aureus, Salmonella and Listeria monocytogenes strains. The real time PCR assay unambiguously distinguished the E. coli O157:H7 strains after 16 cycles. Simultaneously, the lowest detection limit for E. coli O157:H7 in water samples introducing the IAC was 104 CFU/mL. The analytical sensitivity in water samples had no influence on the detection limit compared with that of pure cultures. The inclusion of an internal amplification control in the real-time PCR assay presented a positive IAC amplification signal in artificially simulated water samples. These results indicated that real-time fluorescent PCR combined with the IAC possessed good characteristics of stability, sensitivity, and specificity. Consequently, the adjusted methods have the potential to support the fast and sensitive detection of E. coli O157:H7, enabling accurate quantification and preventing false negative results in E. coli O157:H7 contaminated samples.


1998 ◽  
Vol 538 ◽  
Author(s):  
Y.M. Gupta

AbstractAfter a brief introduction to shock wave propagation in solids, recent experimental developments to understand the real time response of shocked materials at various length scales are outlined. Results from two representative studies are summarized: xray diffraction to examine elastic-plastic deformation in shocked LiF crystals; and picosecond optical absorption to examine structural transformation in shocked CdS crystals. Issues related to examining material processes at different length scales in shock wave experiments are discussed briefly.


Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1982
Author(s):  
Roman Buil ◽  
Jesica de Armas ◽  
Daniel Riera ◽  
Sandra Orozco

This paper presents a solution for a real-world roadside assistance problem. Roadside incidents can happen at any time. Depending on the type of incident, a specific resource from the roadside assistance company can be sent on site. The problem of allocating resources to these road-side incidents can be stated as a multi-objective function and a large set of constraints, including priorities and preferences, resource capacities and skills, calendars, and extra hours. The request from the client is to a have real-time response and to attempt to use only open source tools. The optimization objectives to consider are the minimization of the operational costs and the minimization of the time to arrive to each incident. In this work, an innovative approach to near-optimally solving this problem in real-time is proposed, combining a heuristic approach and linear programming. The results show the great potential of this approach: operational costs were reduced by 19%, the use of external providers was reduced to half, and the productivity of the resources owned by the client was significantly increased.


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