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RSM/ANN based optimized recovery of phenolics from mulberry leaves by enzyme-assisted extraction

Author

Listed:
  • Rahman Qadir

    (Department of Chemistry, University of Sargodha, Sargodha, Pakistan
    Department of Chemistry, University of Lahore, Sargodha Campus, Sargodha, Pakistan)

  • Farooq Anwar

    (Department of Chemistry, University of Sargodha, Sargodha, Pakistan)

  • Mazhar Amjad Gilani

    (Department of Chemistry, COMSATS University, Lahore Campus, Lahore, Pakistan)

  • Sadaf Zahoor

    (Department of Chemistry, University of Sargodha, Sargodha, Pakistan)

  • Muhammad Misbah ur Rehman

    (Department of Chemistry, University of Lahore, Sargodha Campus, Sargodha, Pakistan)

  • Muhammad Mustaqeem

    (Department of Chemistry, University of Sargodha, Bhakkar Campus, Bhakkar, Pakistan)

Abstract

Recovery of phenolics from Morus alba leaves (MAL) and extraction into the solvent was optimized using enzyme-assisted extraction. The influence of four parameters, including enzyme concentration (EC), temperature (T), incubation time (t) and pH were investigated using rotatable central composite design (RCCD). Two factors, namely enzyme concentration and pH, exhibited significant effect on extraction efficacy yield of extractable phenolics from MAL. Furthermore, artificial neural network (ANN) model was executed to predict the relationship between dependent and independent variables. Among enzyme complexes (kemzyme dry-plus, natuzyme and zympex-014) employed for extraction, zympex-014 assisted extract depicted maximum amount of phenolic bioactives from MAL. Morphological changes in the cell wall of MAL residue were elucidated by scanning electron microscopy (SEM). The main phenolic compounds identified and quantified by gas chromatography mass spectrometry (GC/MS) in MAL extract were found to be quercetin, gallic acid, m-coumaric acid, cinnamic acid, syrinigc acid and vanillic acid.

Suggested Citation

  • Rahman Qadir & Farooq Anwar & Mazhar Amjad Gilani & Sadaf Zahoor & Muhammad Misbah ur Rehman & Muhammad Mustaqeem, 2019. "RSM/ANN based optimized recovery of phenolics from mulberry leaves by enzyme-assisted extraction," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 37(2), pages 99-105.
    • Handle: RePEc:caa:jnlcjf:v:37:y:2019:i:2:id:147-2018-cjfs
    DOI: 10.17221/147/2018-CJFS
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    Cited by:

    1. Turkson Antwi Boasiako & Isaac Duah Boateng & John-Nelson Ekumah & Nana Adwoa Nkuma Johnson & Jeffrey Appiagyei & Mian Shamas Murtaza & Bismillah Mubeen & Yongkun Ma, 2024. "Advancing Sustainable Innovations in Mulberry Vinegar Production: A Critical Review on Non-Thermal Pre-Processing Technologies," Sustainability, MDPI, vol. 16(3), pages 1-21, January.
    2. Muhammad Riaz & Humaira Fatima & Muhammad Misbah ur Rehman & Rahman Qadir & Shabbir Hussain & Abdul Hafeez & Abu Bakar Siddique, 2021. "Appraisal of antioxidant potential and biological studies of bogan bail (Bougainvillea glabra) leaf extracts using different solvents," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 39(3), pages 176-180.
    3. Geyin Zhang & Yunru Chen & Kinza Tariq & Zhaoxia An & Shuaiyang Wang & Fareed Qumar Memon & Weiyu Zhang & Hongbin Si, 2020. "Optimization of ultrasound assisted extraction method for polyphenols from Desmodium triquetrum (L.) DC. with response surface methodology (RSM) and in vitro determination of its antioxidant propertie," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 38(2), pages 115-122.

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