Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology
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2015
Authors
Vajic, Una-JovanaGrujic-Milanovic, Jelica
Živković, Jelena Č.
Savikin, Katarina
Gođevac, Dejan

Miloradović, Zoran
Bugarski, Branko

Mihailovic-Stanojevic, Nevena
Article (Published version)

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A full three level factorial design was implemented for optimization of extraction parameters in order to maximize total phenolic (TP) yield from stinging nettle leaf. Factors considered were percentage of methanol in solvent (X-1 : 50-100% methanol) and extraction time (X-2: 30-90 min), and maceration was used as extraction method. A second-order polynomial model was applied for fitting experimental data and predicting the response, and this mathematical model produced a satisfactory fit (R-2 = 0.993,p LT 0.01). The optimal extraction conditions were 54% aqueous methanol and 38 min extraction time, while maximal theoretical TP yield was 8.9 mg GAE/g DW. Solvent composition significantly affected extraction efficiency causing decrease of TP yield with increase of methanol percentage. On the other hand, extraction time did not influence significantly efficiency of extraction. Using LC/MS and HPLC analysis we detected and quantified three most abundant phenolic compounds: 2-O-caffeoyl ma...lic acid, chlorogenic acid, and rutin. Comparison between maceration and ultrasound-assisted extraction (UAE) obtained extracts based on TP content as well as antiradical activity and HPLC results, showed that UAE have a better extraction capability affecting yield and time of extraction. Of all tested extracts, 54% aqueous methanolic extracts obtained with UAE and 38 min extraction time had the highest TP content.
Keywords:
Response surface methodology / Phenolic content / Optimization / Extraction / Urtica dioicaSource:
Industrial Crops and Products, 2015, 74, 912-917Publisher:
- Elsevier
Funding / projects:
- Novel encapsulation and enzyme technologies for designing of new biocatalysts and biologically active compounds targeting enhancement of food quality, safety and competitiveness (RS-46010)
- Traditional and new products of cultivated and wild growing fruits and grape vines, and by-products durring processing, with special emphasis on indigenous varieties: chemical characterization and biological profile (RS-46013)
DOI: 10.1016/j.indcrop.2015.06.032
ISSN: 0926-6690
WoS: 000360948900114
Scopus: 2-s2.0-84934994541
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Institution/Community
IHTMTY - JOUR AU - Vajic, Una-Jovana AU - Grujic-Milanovic, Jelica AU - Živković, Jelena Č. AU - Savikin, Katarina AU - Gođevac, Dejan AU - Miloradović, Zoran AU - Bugarski, Branko AU - Mihailovic-Stanojevic, Nevena PY - 2015 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/1717 AB - A full three level factorial design was implemented for optimization of extraction parameters in order to maximize total phenolic (TP) yield from stinging nettle leaf. Factors considered were percentage of methanol in solvent (X-1 : 50-100% methanol) and extraction time (X-2: 30-90 min), and maceration was used as extraction method. A second-order polynomial model was applied for fitting experimental data and predicting the response, and this mathematical model produced a satisfactory fit (R-2 = 0.993,p LT 0.01). The optimal extraction conditions were 54% aqueous methanol and 38 min extraction time, while maximal theoretical TP yield was 8.9 mg GAE/g DW. Solvent composition significantly affected extraction efficiency causing decrease of TP yield with increase of methanol percentage. On the other hand, extraction time did not influence significantly efficiency of extraction. Using LC/MS and HPLC analysis we detected and quantified three most abundant phenolic compounds: 2-O-caffeoyl malic acid, chlorogenic acid, and rutin. Comparison between maceration and ultrasound-assisted extraction (UAE) obtained extracts based on TP content as well as antiradical activity and HPLC results, showed that UAE have a better extraction capability affecting yield and time of extraction. Of all tested extracts, 54% aqueous methanolic extracts obtained with UAE and 38 min extraction time had the highest TP content. PB - Elsevier T2 - Industrial Crops and Products T1 - Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology VL - 74 SP - 912 EP - 917 DO - 10.1016/j.indcrop.2015.06.032 ER -
@article{ author = "Vajic, Una-Jovana and Grujic-Milanovic, Jelica and Živković, Jelena Č. and Savikin, Katarina and Gođevac, Dejan and Miloradović, Zoran and Bugarski, Branko and Mihailovic-Stanojevic, Nevena", year = "2015", abstract = "A full three level factorial design was implemented for optimization of extraction parameters in order to maximize total phenolic (TP) yield from stinging nettle leaf. Factors considered were percentage of methanol in solvent (X-1 : 50-100% methanol) and extraction time (X-2: 30-90 min), and maceration was used as extraction method. A second-order polynomial model was applied for fitting experimental data and predicting the response, and this mathematical model produced a satisfactory fit (R-2 = 0.993,p LT 0.01). The optimal extraction conditions were 54% aqueous methanol and 38 min extraction time, while maximal theoretical TP yield was 8.9 mg GAE/g DW. Solvent composition significantly affected extraction efficiency causing decrease of TP yield with increase of methanol percentage. On the other hand, extraction time did not influence significantly efficiency of extraction. Using LC/MS and HPLC analysis we detected and quantified three most abundant phenolic compounds: 2-O-caffeoyl malic acid, chlorogenic acid, and rutin. Comparison between maceration and ultrasound-assisted extraction (UAE) obtained extracts based on TP content as well as antiradical activity and HPLC results, showed that UAE have a better extraction capability affecting yield and time of extraction. Of all tested extracts, 54% aqueous methanolic extracts obtained with UAE and 38 min extraction time had the highest TP content.", publisher = "Elsevier", journal = "Industrial Crops and Products", title = "Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology", volume = "74", pages = "912-917", doi = "10.1016/j.indcrop.2015.06.032" }
Vajic, U., Grujic-Milanovic, J., Živković, J. Č., Savikin, K., Gođevac, D., Miloradović, Z., Bugarski, B.,& Mihailovic-Stanojevic, N.. (2015). Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology. in Industrial Crops and Products Elsevier., 74, 912-917. https://doi.org/10.1016/j.indcrop.2015.06.032
Vajic U, Grujic-Milanovic J, Živković JČ, Savikin K, Gođevac D, Miloradović Z, Bugarski B, Mihailovic-Stanojevic N. Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology. in Industrial Crops and Products. 2015;74:912-917. doi:10.1016/j.indcrop.2015.06.032 .
Vajic, Una-Jovana, Grujic-Milanovic, Jelica, Živković, Jelena Č., Savikin, Katarina, Gođevac, Dejan, Miloradović, Zoran, Bugarski, Branko, Mihailovic-Stanojevic, Nevena, "Optimization of extraction of stinging nettle leaf phenolic compounds using response surface methodology" in Industrial Crops and Products, 74 (2015):912-917, https://doi.org/10.1016/j.indcrop.2015.06.032 . .