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Optimization of Zanthoxylum bungeanum essential oil extraction based on response surface methodology and machine
Jingjin He1, Ziqi Zhu1, Xinmin Pan2
1College of Pharmacy, Guangxi University of Chinese Medicine, 530200, Nanning, China.
This study optimized Zanthoxylum bungeanum essential oil extraction using Response Surface Methodology and machine learning. The oil shows potent antimicrobial and antioxidant activities, highlighting its potential as a natural agent.
Area of Science:
- Food Science
- Natural Product Chemistry
- Chemical Engineering
Background:
- Zanthoxylum bungeanum essential oil is recognized for its potential bioactivities.
- Optimizing extraction methods is crucial for maximizing yield and preserving active compounds.
- Traditional methods often lack efficiency and require refinement.
Purpose of the Study:
- To optimize the steam distillation of Zanthoxylum bungeanum essential oil using Response Surface Methodology (RSM) and machine learning (ML).
- To evaluate the antimicrobial and antioxidant properties of the extracted essential oil.
- To identify the major chemical constituents of the optimized essential oil.
Main Methods:
- Steam distillation coupled with Response Surface Methodology (RSM) for process optimization.
- Application of Artificial Neural Network (ANN) and Random Forest models for predicting optimal extraction conditions.
- Gas Chromatography-Mass Spectrometry (GC-MS) for chemical composition analysis.
- Antimicrobial assays against S. aureus and E. coli.
- Antioxidant activity tests including ABTS, DPPH, and hydroxyl radical scavenging assays, and ferric ion reducing power determination.
Main Results:
- Optimized conditions using RSM yielded 2.92% essential oil.
- ANN and Random Forest models predicted higher yields (3.06% and 2.74%, respectively) under their respective optimal conditions.
- Major components identified were γ-terpinene (14.73%), 3-carene (14.17%), and linalool (13.57%).
- The essential oil demonstrated significant antimicrobial activity against S. aureus and E. coli.
- High antioxidant capacity was observed, with ABTS⁺ radical scavenging at 92.81% (40 mg/mL) and DPPH radical scavenging at 94.57% (80 mg/mL).
Conclusions:
- The study successfully optimized Zanthoxylum bungeanum essential oil extraction using RSM and ML techniques.
- The extracted essential oil possesses significant antimicrobial and antioxidant properties.
- Zanthoxylum bungeanum essential oil is a promising candidate for natural antibacterial and antioxidant applications.
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Response Surface Methodology
The process of RSM involves several key steps:
Methods of Medium Optimization
Extraction: Advanced Methods