Principal Component Analysis (PCA) Based Clustering of Insecticides for Their Safety Profile
Background: Insecticides are the groups of chemical substances used to control the pest in agriculture crops, and the
vector of animal and human diseases. At the point when man originally began to develop crops, the main alternatives
for pest control were the manual evacuation of pest or physical assurance from pervasion, and this remained so until
insecticidal substances, for example, arsenic and copper were utilized, trailed by the primary accessibility of
engineered mixes during the 1940s.
Objective: Statically analysis of commonly used insecticides for their safety profile.
Methods: Through a literature survey we analyzed different insecticides used for different purposes, their library was
prepared consisting of around 60 insecticidal compounds of different classes, their canonical structure, PubMed id,
and safety profile in terms of acute toxicity, irritant, health hazard, and environmental hazard were fetched from
PubMed (https://pubchem.ncbi.nlm.nih.gov/). We assigned 0 for absence and 1 for the presence of different safety
parameters (acute toxicity, irritant, health hazard, and environmental hazard) in the selected insecticides. Trail version
XLSTATE software was downloaded from the website (https://www.xlstat.com/en/), PCA analysis was carried out on
the prepared dataset
Results: PCA analysis shows that environmental hazards are the most common problem with the application of
insecticides.
Conclusion: Applications of insecticide are very common for agriculture and household purposes; degradation of
insecticides in soil by various mechanism e.g. microbial degradation is a major challenge which results in the
prevalence of sub-chronic toxicity in animals as well as humans.
How to Cite this paper?
APA-7 Style
,
A., Raisuddin,
S. (2022). Principal Component Analysis (PCA) Based Clustering of Insecticides for Their Safety Profile. Research Journal of Phytochemistry, 16(1), 7. https://rjp.scione.com/cms/abstract.php?id=16
ACS Style
,
A.; Raisuddin,
S. Principal Component Analysis (PCA) Based Clustering of Insecticides for Their Safety Profile. Res. J. Phytochem 2022, 16, 7. https://rjp.scione.com/cms/abstract.php?id=16
AMA Style
A, Raisuddin
S. Principal Component Analysis (PCA) Based Clustering of Insecticides for Their Safety Profile. Research Journal of Phytochemistry. 2022; 16(1): 7. https://rjp.scione.com/cms/abstract.php?id=16
Chicago/Turabian Style
Afshan, and S. Raisuddin.
2022. "Principal Component Analysis (PCA) Based Clustering of Insecticides for Their Safety Profile" Research Journal of Phytochemistry 16, no. 1: 7. https://rjp.scione.com/cms/abstract.php?id=16
This work is licensed under a Creative Commons Attribution 4.0 International License.