Triazine is the six-membered heterocyclic ring that contains three nitrogen?s
instead of the carbon- hydrogen unit in the benzene. The triazine
derivatives are very attractive from the perspective of agriculture,
pharmacology and medicine for a long period of time. They possess a
versatile pharmacophore which enables them to express diverse biological
activities such as pesticidal, antibacterial, antifungal, antiendotoxin,
antileishmanial, antitubercular and anticancer activity. This review
represents a summarized report of the chromatographic and microbiological
analysis of the triazine derivatives published in past five years.
The contamination of the environment by pesticides is becoming a burning issue in many countries in the World. Development, design, and synthesis of new eco-friendly pesticides and modification of existing ones in order to improve their efficacy with the lowest impact on the environment are two main future possibilities in crop protection and the provision of sufficient food for the growing world population. The present study is focused on the comparative analysis of a series of eight symmetrical triazine derivatives, as potential herbicide candidates with acyclic (alkyl) and cyclic (cycloalkyl) substituents, in terms of their antifungal activity towards Aspergillus flavus as an opportunistic fungal pathogenic microorganism responsible for frequent contaminations of crops with aflatoxin, and in terms of their potential application as herbicides in maize, common wheat, barley, and rice crops. The applied methods include the chemometric pattern recognition method (hierarchical cluster analysis), experimental microbiological analysis of antifungal activity (agar well-diffusion method), and molecular docking of the triazines in the corresponding enzymes. The main findings of the conducted study indicate the significant antifungal activity of the studied triazine derivatives towards A. flavus, particularly the compounds with acyclic substituents; five out of eight studied triazines could be applied as systematic herbicides, while the other three triazines could be used as contact herbicides; the compounds with acyclic substituents could be more suitable for application for various crops protection than triazines with cyclic substituents.
The aim of the work is to determine the acidity (pH) of milk produced on family farms in the Municipality of Sjenica depending on the season and month of production. It found an analysis of 3,226 milk samples that manufacturers and processors brought voluntarily to the lab. The process of receiving and analyzing the samples was done according to the Rulebook on the Quality of Raw Milk and ISO/IEC 17025:2017. The number of samples of raw milk in winter (529) is lower than in summer (1094). The average pH is the highest in the month of December (6.70), and the lowest in March (6.52). On the territory of the Municipality of Sjenica there was a steady acidity of milk per month in 2019. and moved within the boundaries envisioned in the Regulation on the Quality of Raw Milk.
In the present paper, the chemometric analysis, ranking and selection of the
most suitable in silico lipophilicity parameters of eight alkyl and
cycloalkyl s-triazine derivatives were carried out. The lipophilicity
parameters were calculated using various computational approaches and
computer programs. The conducted analysis is the basis for further studies
aimed to define, compare and examine the influence of alkyl and cycloalkyl
substituents, introduced in 6-chloro-1,3,5-triazine-2,4-diamine structure,
on molecular lipophilicity and bioactivity. The chemometric methods used in
the study are pattern recognition methods, such as hierarchical cluster
analysis (HCA) and sum of ranking differences (SRD). The obtained ranking
results indicate that the following in silico lipophilicity descriptors can
be chosen as the most suitable for interpretation of lipophilicity of the
studied series of s-triazine derivatives: AlogP, MlogP, WLOGP, logPKLOP and
logPPHYS. The lipophilicity descriptor iLOGP was marked as the least
suitable lipophilicity descriptor of the studied series of compounds. The
ranking results were validated by 7-fold cross-validation approach and by
comparison of ranks by random numbers (CRRN).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.