PAKISTAN
VETERINARY
JOURNAL
     
 
previous page   Pak Vet J, 2012, 32(4): 589-592   next page
 
Quantitative Structure activity relationship and risk analysis of some pesticides in the cattle milk
 
Faqir Muhammad*, Ijaz Javed, Masood Akhtar1, Zia-ur-Rahman, Mian Muhammad Awais1, Muhammad Kashif Saleemi2 and Muhammad Irfan Anwar3
Department of Physiology and Pharmacology, 1Department of Parasitology, 2Department of Pathology, University of Agriculture, Faisalabad-38040, Pakistan; 3Poultry Research Institute, Office of Deputy District Livestock Officer (Poultry), Faisalabad, Pakistan
*Corresponding author: faqirmuhammad33@gmail.com

Abstract   

Milk of cattle was collected from various localities of Faisalabad, Pakistan. Pesticides concentration was determined by HPLC using solid phase microextraction. The residue analysis revealed that about 40% milk samples was found contaminated with pesticides. The mean±SE levels (ppm) of cyhalothrin, endosulfan, chlorpyrifos and cypermethrin were 0.38±0.02, 0.26±0.02, 0.072±0.01 and 0.085±0.02, respectively. Quantitative structure activity relationship (QSAR) models predict the residues of unknown pesticides in the milk of cattle using their known physicochemical properties such as molecular weight (MW), melting point (MP), and log octanol to water partition coefficient (Ko/w) as well as the milk characteristics such as pH, % fat, and specific gravity (SG) in this species. The analysis revealed good correlation coefficients (R2 = 0.91) for cattle QSAR model. The coefficient for Ko/w for the studied pesticides was higher in cattle milk. Risk analysis was conducted based upon the determined pesticide residues and their provisional tolerable daily intakes. The daily intake levels of pesticide residues including cyhalothrin, chlorpyrifos and cypermethrin in present study were 3, 11, 2.5 times higher, respectively in cattle milk. This intake of pesticide contaminated milk might pose health hazards to humans in this locality.

Key words: Cattle, Milk, Pesticides, QSAR, Residues

 
   

ISSN 0253-8318 (Print)
ISSN 2074-7764 (Online)



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