Optimization of sonication-assisted hydrodistillation for essential oil extraction from Citrus macroptera peel: A comparative study of RSM and ANN

• Citrus macroptera peel valorized via sonication-assisted hydrodistillation (SAHD). • ANN outperformed RSM in predicting essential oil yield, TPC, and DPPH activity. • Max essential oil yield was 1.87 ± 0.11 % under ANN optimized extraction condition. • Limonene (56.36 %) and isoeugenol (7.35 %) detected via GC MS analysis. • SAHD showed reduced energy use and CO 2 emission than hydrodistillation. This study optimized the extraction of essential oil (EO) from Satkora ( Citrus macroptera ) peel using sonication-assisted hydrodistillation (SAHD), applying response surface methodology (RSM) and artificial neural networks (ANN). A Box-Behnken design assessed the effects of solvent-solid ratio (SSR), sonication time (ST), and hydrodistillation time (HT) on EO yield, total phenolic content (TPC), and 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. Optimization was performed using RSM with a desirability function and ANN integrated with a genetic algorithm. ANN-GA identified optimal extraction conditions at an SSR of 7.84:1, ST of 29.17 min, and HT of 159.36 min, yielding 1.87 ± 0.11 % EO, 106.22 ± 0.27 mg GAE/g TPC, and 68.85 ± 0.15 % DPPH scavenging activity. The ANN model outperformed RSM in predicting EO yield, exhibiting a lower root mean square error (RMSE = 0.0067), mean absolute error (MAE = 0.0055), standard error percentage (SEP = 0.3711), and a higher coefficient of determination (R 2 = 0.9923), compared to RSM. Gas chromatography mass spectrometry revealed limonene (56.36 %) as the major compound, followed by isoeugenol (7.35 %) and eugenol acetate (5.31 %). The EO exhibited favorable physicochemical properties, including a low acid value (3.24 ± 0.1 mg KOH/g) and a refractive index of 1.25 ± 0.0021. Additionally, energy consumption and CO 2 emissions were evaluated, confirming the environmental advantage of SAHD over conventional hydrodistillation. These findings highlight the potential of SPEO for use in pharmaceutical, food, cosmetic, and essential oil industries.

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Publication Details

Journal
Applied Food Research
Published
2025-10-22
DOI
https://doi.org/10.1016/j.afres.2025.101446
Citations
3
Primary Topic
Essential Oils and Antimicrobial Activity
Type
article
Field-Weighted Citation Impact
3.49
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article

Optimization of sonication-assisted hydrodistillation for essential oil extraction from Citrus macroptera peel: A comparative study of RSM and ANN

Md. Idrish Ali, G. M. Rabiul Islam, Jahid Hasan Shourove, Parvej Hasan Jon et al.
3 citations
Applied Food Research
Essential Oils and Antimicrobial Activity
3.49
article

Optimization of sonication-assisted hydrodistillation for essential oil extraction from Citrus macroptera peel: A comparative study of RSM and ANN

Md. Idrish Ali, G. M. Rabiul Islam, Jahid Hasan Shourove, Parvej Hasan Jon, Oliur Rahman
article en
3 citations

Abstract

• Citrus macroptera peel valorized via sonication-assisted hydrodistillation (SAHD). • ANN outperformed RSM in predicting essential oil yield, TPC, and DPPH activity. • Max essential oil yield was 1.87 ± 0.11 % under ANN optimized extraction condition. • Limonene (56.36 %) and isoeugenol (7.35 %) detected via GC MS analysis. • SAHD showed reduced energy use and CO 2 emission than hydrodistillation. This study optimized the extraction of essential oil (EO) from Satkora ( Citrus macroptera ) peel using sonication-assisted hydrodistillation (SAHD), applying response surface methodology (RSM) and artificial neural networks (ANN). A Box-Behnken design assessed the effects of solvent-solid ratio (SSR), sonication time (ST), and hydrodistillation time (HT) on EO yield, total phenolic content (TPC), and 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. Optimization was performed using RSM with a desirability function and ANN integrated with a genetic algorithm. ANN-GA identified optimal extraction conditions at an SSR of 7.84:1, ST of 29.17 min, and HT of 159.36 min, yielding 1.87 ± 0.11 % EO, 106.22 ± 0.27 mg GAE/g TPC, and 68.85 ± 0.15 % DPPH scavenging activity. The ANN model outperformed RSM in predicting EO yield, exhibiting a lower root mean square error (RMSE = 0.0067), mean absolute error (MAE = 0.0055), standard error percentage (SEP = 0.3711), and a higher coefficient of determination (R 2 = 0.9923), compared to RSM. Gas chromatography mass spectrometry revealed limonene (56.36 %) as the major compound, followed by isoeugenol (7.35 %) and eugenol acetate (5.31 %). The EO exhibited favorable physicochemical properties, including a low acid value (3.24 ± 0.1 mg KOH/g) and a refractive index of 1.25 ± 0.0021. Additionally, energy consumption and CO 2 emissions were evaluated, confirming the environmental advantage of SAHD over conventional hydrodistillation. These findings highlight the potential of SPEO for use in pharmaceutical, food, cosmetic, and essential oil industries.

Applied Food ResearchVol. 5(2)
Shahjalal University of Science and Technology (BD)
Openalex Percentile: Top 7%
Essential Oils and Antimicrobial Activity
3.49
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