Molecular docking and dynamics supported investigation of antiviral activity of Lichen metabolites of : an study.

Lichens are symbiotic organisms that have been traditionally used for treating different kinds of ailments. As there are only a few reports on the antiviral activity of lichens, we thought of evaluating the anti-Herpes simplex virus-1 (HSV-1) activity of methanolic extract of and their isolated compounds. Fractionation of crude methanolic extract of by column chromatography isolated two pure compounds.

Assessment of developed paper strip based sensor with pesticide residues in different dairy environmental samples.

According to the results of this study, the paper strip biosensor can detect pesticide at very low concentration like fungicide, organochlorine, organophosphate, carbamate, and herbicide group ranges from 1 to 10, 1-50, 250-500, 1-50, and 1 μg/L, respectively in animal feed, water, milk and soil. This is a significant improvement from the previous study, which found that the paper strip biosensor could only detect pesticide levels of up to 500 or 1000 μg/L. A total of 436 samples were collected from the dairy farm, including 58 samples of green feed, 54 samples of dry feed, 45 samples of concentrated feed, 41 samples of fermented feed, 49 samples of manure, 54 samples of soil, and 86 samples of milk.

Polyaniline-Pectin nanoparticles immobilized paper based colorimetric sensor for detection of in milk and milk products.

In the food quality and safety arena, there is a need to develop novel and sustainable methodologies that can help in the prevention of foodborne diseases. Herein, we report the development of a rapid conducting polymer strip-based sensor using Polyaniline-pectin (PANI-PEC) for the detection of in milk and milk products. Polyaniline-pectin nanoparticles stabilized with biopolymer pectin were synthesized and its characterization studies such as FTIR, UV-Vis spectroscopy, electrical conductivity and particle size analysis were done.

Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor.

The study was aimed to validate paper strip sensors for the detection of pesticide residues in milk, cereal-based food, and fruit juices in comparison with GC-MS/MS under field conditions. The detection limit of pesticide using rapid paper strip sensor for organophosphate, carbamate, organochlorine, fungicide, and herbicide group ranges from 1 to 10, 1-50, 250-500, 1-50, and 1 ppb, respectively in milk and milk product, cereal-based food and fruit juices. Among 125 samples of milk samples collected from the market 33 milk samples comprising 31 raw milk and 2 pasteurized milk found positive for pesticide using the strip-based sensor.

The accuracy of two electronic apex locators on effect of preflaring and file size: An study.

Aim: This study was conducted to evaluate the effect of preflaring and file size on the accuracy of the Root ZX and E-PEX Pro electronic apex locators (EALs).

Materials And Methods: The actual working length was set 1 mm short of the apical foramen in the forty extracted mandibular premolars. The teeth were embedded in an alginate mold, and two examiners performed the electronic measurements using #10, #15, and #20 K-files.