Key Criteria for Engineering Mycotoxin Binding Aptamers via Computational Simulations: Aflatoxin B1 as a Case Study

2021 ◽  
pp. 2100280
Author(s):  
Maryam Mousivand ◽  
Kowsar Bagherzadeh ◽  
Laura Anfossi ◽  
Mohammad Javan‐Nikkhah
2019 ◽  
Vol 13 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Alexandr E. Urusov ◽  
Alina V. Petrakova ◽  
Anatoly V. Zherdev ◽  
Elena A. Zvereva

Objective: The study aimed at increasing the sensitivity of immunochromatographic tests for the control of toxic contaminants (on the examples of aflatoxin B1 and T-2 toxin) in agricultural products. Methods: For reliable immunochromatographic detection of low concentrations of analytes, a replacement of the (specific antibodies – gold nanoparticle) conjugate by a combination of native specific antibodies and anti-species antibodies conjugated with gold nanoparticles was proposed. Different variants of test systems based on the principle of indirect labeling were realized and compared. Results: Immunochromatographic assays with indirect labeling for aflatoxin B1 and T-2 toxin were implemented experimentally. A reduction in the detection limit by one to two orders of magnitude was demonstrated. Conclusion: The presented results confirm that indirect labeling of specific antibodies overcomes the limitations of the competitive immunochromatographic analysis and can be used to detect analytes of different chemical nature.


2022 ◽  
Vol 354 ◽  
pp. 00015
Author(s):  
Ligia Ioana Tuhuț ◽  
Vlad Mihai Pasculescu ◽  
Nicolae Ioan Vlasin ◽  
Florin Manea

When investigating a fire type event, one has to have in mind that maybe the most important aspect is the identification of the source of ignition. Nowadays, commercial and open-source software are available and can be used during such investigations. The fire field model - Fire Dynamics Simulator (FDS) is one of the most popular numerical model used for fire investigation. The purpose of this paper is to demonstrate the importance of computer simulations when two hypotheses, Arson effect with multiple fireplaces and electric short circuit are taken into consideration as the cause of the fire. To virtually simulate the findings at the fire site, the FDS tool (Computational Fluid Dynamics) was used. Computational simulations for the two scenarios revealed that the multiple fireplaces scenario, the initial ignition at both the warehouse and the roof of the annex, illustrates the effects of the fire in a similar way to those found at the site, while the scenario with the initial source on the wall of the room with the electrical panel produces a fire located at the level of the construction and is not transmitted to the annex. Consequently, the results obtained validate the multiple outbreak (Arson effect) scenario.


2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.


2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.


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