Top

Arabian Journal for Science and Engineering

Published in:

10-07-2020 | Research Article-Chemical Engineering

Ultrasonic-Assisted Extraction of Phalerin from Phaleria macrocarpa: Response Surface Methodology and Artificial Neural Network Modelling

Authors: Faiqah Ramli, Mariani Abdul Hamid, Roswanira Abdul Wahab, Intan Safinar Ismail, Thiruventhan Karunakaran

Published in: Arabian Journal for Science and Engineering | Issue 9/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Phaleria macrocarpa is historically treasured remedy for treating various allergies, infections and health complications. Commercial availability of this plant extract, however, remains limited as conventional phytochemical extraction techniques require prolong extraction time, high consumption of solvents, in conjunction to being energy intensive. Herein, this study aimed to statistically optimize the ultrasonic-assisted extraction (UAE) of phalerin from P. macrocarpa using the Box–Behnken design (BBD) and the predictive capability of this approach was compared to a model derived from artificial neural network (ANN). In the optimization experiment, for only three relevant UAE parameters viz. solvent ratio, extraction temperature and solid-to-solvent ratio were examined, for the response of the highest extraction of phalerin. Under an optimized condition (R² = 0.98) [71% methanol, 1:45 solid-to-solvent ratio (g/mL) and extraction temperature of 47 °C], a satisfactory amount of 4.26 ± 0.51 mg/g of phalerin was attained. Comparison between the RSM and ANN revealed the latter being a better predictive model and yielded an appreciably higher predictive capability (R² = 0.99) in terms of average absolute deviation, AAD (0.24%) versus RSM (AAD = 1.03%).

previous article CFD Prediction with Eulerian/Eulerian Approach of SO2 Absorption from Flue Gases in Bubble-Dispersion Tower

next article Sonosynthesis of Iron-Supported Clay for Heavy Metal Removal via Sonoassisted Adsorption Process

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Ali, R.B.; Item, J.A.; Navneet, K.; Omar, S.A.; Mariam, A.; Roziahanim, M.; Mohd, Z.A.: Bioassay-guided antidiabetic study of Phaleria macrocarpa fruit extract. Molecules 17(5), 4986–5002 (2012). https://doi.org/10.3390/molecules17054986CrossRef

Easmin, M.S.; Sarker, M.Z.I.; Ferdosh, S.; Shamsudin, S.H.; Yunus, K.B.; Uddin, M.S.; Sarker, M.M.R.; Akanda, M.J.H.; Hossain, M.S.; Abdul Khalil, H.P.S.: Bioactive compounds and advanced processing technology: Phaleria macrocarpa (Sheff.) Boerl, a review. J. Chem. Technol. Biotechnol. 90(6), 981–991 (2015). https://doi.org/10.1002/jctb.4603CrossRef

Oshimi, S.; Kazumasa, Z.; Yosuke, M.; Yusuke, H.; Toru, I.; Herra, S.; Gunawan, I.; Noor, C.Z.; Hiroshi, M.: Studies on the constituents from the fruits of Phaleria macrocarpa. J. Nat. Med. 62(2), 207–210 (2008). https://doi.org/10.1007/s11418-007-0209-9CrossRef

Nor Fariza, I.; Fadzureena, J.; Zunoliza, A.; Luqman Chuah, A.; Pin, K.Y.; Adawiah, I.: Anti-inflammatory activity of the major compound from methanol extract of Phaleria macrocarpa leaves. J. Appl. Sci. 12(11), 1196–1198 (2012). https://doi.org/10.3923/jas.2012.1195.1198CrossRef

Tjandrawinata, R.R.; Arifin, P.F.; Tandrasasmita, O.M.; Rahmi, D.; Aripin, A.: DLBS1425, a Phaleria macrocarpa (Scheff.) Boerl. extract confers anti proliferative and proapoptosis effects via eicosanoid pathway. J. Exp. Therm. Oncol. 8(3), 187–201 (2010)

Ali, R.B.; Atahngwho, I.J.; Kuar, N.; Mohamedp, E.A.H.; Mohamed, A.J.; Asmawi, M.Z.; Mahmud, R.: Hypoglycemic and anti-hyperglycemic study of Phaleria macrocarpa fruits pericarp. J. Med. Plants Res. 6(10), 1982–1990 (2012)

Ordóñez-Santos, L.E.; Lina, X.P.Z.; Luis, O.G.S.: Optimization of ultrasonic-assisted extraction of total carotenoids from peach palm fruit (Bactris gasipaes) by-products with sunflower oil using response surface methodology. Ultrason. Sonochem. 27, 560–566 (2015). https://doi.org/10.1016/j.ultsonch.2015.04.010CrossRef

Feng, S.; Zisheng, L.; Beipei, T.; Chun, C.: Ultrasonic-assisted extraction and purification of phenolic compounds from sugarcane (Saccharum officinarum L.) rinds. LWT Food Sci. Technol. 60(2), 970–976 (2015). https://doi.org/10.1016/j.lwt.2014.09.066CrossRef

Esclapez, M.D.; García-Pérez, J.V.; Mulet, A.; Cárcel, J.A.: Ultrasound-assisted extraction of natural products. Food Eng. Rev. 3(2), 108–120 (2011). https://doi.org/10.1007/s12393-011-9036-6CrossRef

10.

Wong, K.H.; Li, G.Q.; Li, K.M.; Razmovski-Naumovski, V.; Chan, K.: Optimisation of Pueraria isoflavonoids by response surface methodology using ultrasonic-assisted extraction. Food Chem. 231, 231–237 (2017)CrossRef

11.

Belwal, T.; Praveen, D.; Indra, D.; Bhatt, R.S.R.; Veena, P.: Optimization extraction conditions for improving phenolic content and antioxidant activity in Berberis asiatica fruits using response surface methodology (RSM). Food Chem. 207, 115–124 (2016). https://doi.org/10.1016/j.foodchem.2016.03.081CrossRef

12.

Deng, J.; Zhou, X.; Chunrong, X.; Jing, L.; Lijun, D.; Tian, L.; Zeshen, Y.; Chunbang, D.: Comparative evaluation of maceration and ultrasonic-assisted extraction of phenolic compounds from fresh olives. Ultrason. Sonochem. 37, 328–334 (2017). https://doi.org/10.1016/j.ultsonch.2017.01.023CrossRef

13.

He, B.; Zhang, L.L.; Yue, X.Y.; Liang, J.; Jiang, J.; Gao, X.L.: Optimization of ultrasound-assisted extraction of phenolic compounds and anthocyanins from blueberry (Vaccinium ashei) wine pomace. Food Chem. 204, 70–76 (2016)CrossRef

14.

Venables, W.N.; Ripley, B.D.: Modern applied statistics with S. Technometrics 45(1), 111–115 (2003). https://doi.org/10.1198/tech.2003.s33CrossRefMATH

15.

Kuhn, M.: Building predictive models in R using the caret package. J. Stat. Softw. 28(5), 1–26 (2008). https://doi.org/10.1053/j.sodo.2009.03.002CrossRef

16.

Fang, X.; Jianhua, W.; Yingzi, W.; Xueke, L.; Hongying, Z.; Lixiang, Z.: Optimization of ultrasonic-assisted extraction of wedelolactone and antioxidant polyphenols from Eclipta prostrate L. using response surface methodology. Sep. Purif. Technol. 138, 55–64 (2014). https://doi.org/10.1016/j.seppur.2014.10.007CrossRef

17.

Şahin, S.; Aybastier, Ö.; Işik, E.: Optimisation of ultrasonic-assisted extraction of antioxidant compounds from Artemisia absinthium using response surface methodology. Food Chem. 141(2), 1361–1368 (2013)CrossRef

18.

Zhong, K.; Qiang, W.: Optimization of ultrasonic extraction of polysaccharides from dried longan pulp using response surface methodology. Carbohydr. Polym. 80(1), 19–25 (2010). https://doi.org/10.1016/j.carbpol.2009.10.066CrossRef

19.

Jibril, S.; Basar, N.; Sirat, H.M.; Wahab, R.A.; Mahat, N.A.; Nahar, L.; Sarker, S.D.: Application of Box–Behnken design for ultrasound-assisted extraction and recycling preparative HPLC for isolation of anthraquinones from Cassia singueana. Phytochem. Anal. 7, 1–9 (2018). https://doi.org/10.1002/pca.2795CrossRef

20.

Marzuki, N.H.C.; Hamid, M.A.; Wahab, R.A.: Assessment of fatty acid composition and response surface optimization of ultrasonic-assisted extraction of phenolic compounds from Pouteria campechiana pulp. Mal. J. Fund. Appl. Sci. 14(2), 269–277 (2018)CrossRef

21.

Zou, T.B.; Wang, M.; Gan, R.Y.; Ling, W.H.: Optimization of ultrasound-assisted extraction of anthocyanins from mulberry, using response surface methodology. Int. J. Mol. Sci. 12(5), 3006–3017 (2011)CrossRef

22.

Cheok, C.Y.; Nyuk, L.C.; Yus, A.Y.; Rosnita, A.T.; Chung, L.L.: Optimization of total phenolic content extracted from Garcinia mangostana Linn. hull using response surface methodology versus artificial neural network. Ind. Crops Prod. 40(1), 247–253 (2012). https://doi.org/10.1016/j.indcrop.2012.03.019CrossRef

23.

Dadgar, M.; Seyed, S.H.V.; Ali, A.M.: Comparison between artificial neural network and response surface methodology in the prediction of the parameters of heat set polypropylene yarns. J. Text. Inst. 106(4), 417–430 (2015). https://doi.org/10.1080/00405000.2014.924656CrossRef

24.

Ameer, K.; Seong-Woo, B.; Yunhee, J.; Hyun-Gyu, L.; Asif, A.; Joong-Ho, K.: Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling. Food Chem. 229, 198–207 (2017). https://doi.org/10.1016/j.foodchem.2017.01.121CrossRef

Title: Ultrasonic-Assisted Extraction of Phalerin from Phaleria macrocarpa: Response Surface Methodology and Artificial Neural Network Modelling
Authors: Faiqah Ramli
Mariani Abdul Hamid
Roswanira Abdul Wahab
Intan Safinar Ismail
Thiruventhan Karunakaran
Publication date: 10-07-2020
Publisher: Springer Berlin Heidelberg
Published in: Arabian Journal for Science and Engineering / Issue 9/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-020-04639-8

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 9/2020

Investigation into the Effect of Water Fraction on the Single-Phase Flow of Water-in-Oil Emulsion in a Porous Medium Using CFD

Determination of Pyrolysis Kinetics of Cellulose and Lignin Fractions Isolated from Selected Turkish Biomasses

A Novel Circulation Process to Effectively Produce Electrolytic Manganese Metal (EMM) with Low-Grade Manganese Oxide Ores and High-Sulfur Manganese Ores

Synthesis, Characterization and Dye Adsorption Performance of Strontium Ferrite decorated Bentonite-CoNiAl Magnetic Composite

Removal of Synthetic Dye by Chlorella vulgaris Microalgae as Natural Adsorbent

Removal of Pharmaceutical Contaminants from Aqueous Medium: A State-of-the-Art Review Based on Paracetamol

Premium Partners