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Rapid Identification and Quantification of Adulteration in Methyl Eugenol using Raman Spectroscopy Coupled with
Muntaha Anwar1, Gull Rimsha1, Muhammad Irfan Majeed1
1Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
ACS Omega
|February 26, 2024
Summary
Raman spectroscopy effectively detects xylene adulterants in methyl eugenol, a key pesticide lure. This method offers rapid, quantitative analysis for ensuring pesticide purity and protecting crops from invasive fruit flies.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Agricultural Science
Background:
- Methyl eugenol is crucial as a botanical insecticide and attractant lure for controlling invasive fruit flies like the oriental fruit fly and melon fly.
- Ensuring the purity of commercial methyl eugenol is vital for its efficacy in pest control and crop protection.
- Adulteration of methyl eugenol can compromise its effectiveness and potentially lead to unintended environmental consequences.
Purpose of the Study:
- To develop and validate a Raman spectroscopy-based method for the qualitative and quantitative detection of xylene adulterants in commercial methyl eugenol.
- To assess the potential of Raman spectroscopy combined with chemometric techniques for analyzing pesticide formulations.
Main Methods:
- Commercial methyl eugenol samples were intentionally adulterated with varying concentrations of xylene.
- Raman spectroscopy was employed to acquire spectral data from pure and adulterated methyl eugenol samples.
- Principal Component Analysis (PCA) was used for qualitative differentiation of spectral data based on methyl eugenol and xylene concentrations.
- Partial Least-Squares Regression Analysis (PLSR) was utilized to build a quantitative predictive model relating spectral data to adulterant concentrations.
Main Results:
- Distinct Raman spectral features were identified for methyl eugenol and xylene, enabling their differentiation.
- PCA successfully distinguished between different concentrations of methyl eugenol and xylene in the samples.
- The PLSR model demonstrated a strong quantitative relationship with a goodness of fit of 0.99.
- The developed model achieved low root-mean-square errors for calibration (1.90) and prediction (3.86), indicating high accuracy.
Conclusions:
- Raman spectroscopy, coupled with PCA and PLSR, provides a rapid and accurate method for detecting and quantifying xylene adulterants in methyl eugenol.
- This approach shows significant potential for routine quality control of methyl eugenol and can be extended to the analysis of other pesticide products.
- The findings contribute to ensuring the integrity of agricultural inputs and supporting effective pest management strategies.
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