Assessing the Effectiveness of Thin-Layer Chromatography as an Indicator of Herbicidal Drift in Brassica rapa
School Name
Spring Valley High School
Grade Level
11th Grade
Presentation Topic
Botany
Presentation Type
Non-Mentored
Abstract
This study investigates possibility of using Thin-Layer Chromatography as a cost-effective method for detecting the biochemical effects of herbicidal drift on non-target plants, with Brassica rapa used as the model organism. Herbicidal drift, an unintended movement of herbicides, is harmful to plants leading to the alteration of the natural balance of ecosystems. TLC was used to assess the effects of different concentrations of herbicides on the separation and mobility of plant pigments, namely secondary metabolites. Although it has been expected that exposure to herbicides would significantly change pigment profiles, statistical analysis (one-way ANOVA, p > 0.05) didn't show significant differences in Rf values among treatment groups. This would suggest that although TLC serves to separate compounds effectively, it may not have the sensitivity required to detect very slight biochemical changes induced by herbicide drift. Methodological limitations, such as pigment storage, could have influenced the results. This research conveys the efficiency of Thin Layer Chromatography for rapid and cost-effective analysis but also conveys the need for additional high-resolution methods to obtain a precise quantification of herbicidal effects using methods such as Gas Chromatography-Mass Spectrometry. The results contribute to the growing body of knowledge relating to herbicidal drift and offer precious insights on how to develop sustainable and scalable methods for ecological monitoring and agricultural control. Future research in this area should thus be conducted on more rigorous analytical approaches, understanding the herbicide-induced physiological changes in plants for better detection.
Recommended Citation
Wilson, Thomas, "Assessing the Effectiveness of Thin-Layer Chromatography as an Indicator of Herbicidal Drift in Brassica rapa" (2025). South Carolina Junior Academy of Science. 60.
https://scholarexchange.furman.edu/scjas/2025/all/60
Location
PENNY 310
Start Date
4-5-2025 9:15 AM
Presentation Format
Oral and Written
Group Project
No
Assessing the Effectiveness of Thin-Layer Chromatography as an Indicator of Herbicidal Drift in Brassica rapa
PENNY 310
This study investigates possibility of using Thin-Layer Chromatography as a cost-effective method for detecting the biochemical effects of herbicidal drift on non-target plants, with Brassica rapa used as the model organism. Herbicidal drift, an unintended movement of herbicides, is harmful to plants leading to the alteration of the natural balance of ecosystems. TLC was used to assess the effects of different concentrations of herbicides on the separation and mobility of plant pigments, namely secondary metabolites. Although it has been expected that exposure to herbicides would significantly change pigment profiles, statistical analysis (one-way ANOVA, p > 0.05) didn't show significant differences in Rf values among treatment groups. This would suggest that although TLC serves to separate compounds effectively, it may not have the sensitivity required to detect very slight biochemical changes induced by herbicide drift. Methodological limitations, such as pigment storage, could have influenced the results. This research conveys the efficiency of Thin Layer Chromatography for rapid and cost-effective analysis but also conveys the need for additional high-resolution methods to obtain a precise quantification of herbicidal effects using methods such as Gas Chromatography-Mass Spectrometry. The results contribute to the growing body of knowledge relating to herbicidal drift and offer precious insights on how to develop sustainable and scalable methods for ecological monitoring and agricultural control. Future research in this area should thus be conducted on more rigorous analytical approaches, understanding the herbicide-induced physiological changes in plants for better detection.
