Fr. 57.50

ANALYTICAL METHODS IN AGRICULTURAL TOXICOLOGY: - GENOTOXICITY ASSESSMENT OF HERBICIDES AND HPLC PROTOCOLS FOR MEDICINAL PLANT EXTRACTS

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

This comprehensive study explores two critical aspects of agricultural toxicology and phytochemical analysis. First, the genotoxic effects of paraquat, a widely used non-selective herbicide, were assessed on maize (Zea mays) through controlled exposure at concentrations of 0.2, 0.6, and 0.8 mg/L. Using gel electrophoresis and clustering analysis, a clear concentration-dependent increase in DNA fragmentation was observed, particularly at 0.6 and 0.8 mg/L, indicating significant oxidative stress and genetic damage compared to herbicide-free controls. These findings reveal the potential risks of paraquat application on crop genetic integrity. Second, the phytochemical profile of fermented Artemisia annua leaf extracts, prepared via fermentation with Saccharomyces cerevisiae, was characterized using High-Performance Liquid Chromatography (HPLC). The analysis identified a diverse range of bioactive compounds, including phenols (notably p-coumaric acid at 11.995 mg/L), flavonoids, organic acids, and glycosides such as saponins, all of which contribute to the extract's antioxidant and pharmacological properties.

Product details

Authors Mahmoud Elsharafi, Mathias Onyi Lawrence
Publisher Edizioni Sapienza
 
Languages English
Product format Paperback / Softback
Released 30.06.2025
 
EAN 9786206166887
ISBN 9786206166887
No. of pages 72
Subjects Humanities, art, music > Education > Education system
Natural sciences, medicine, IT, technology > Natural sciences (general)

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.