Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves

The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concentrations (0–96% (v/v)) and solvent-to-solid ratios (5–20 kg kg−1). The response surface methodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) were developed to optimize the extraction v...

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Bibliographic Details
Published in:Chemical engineering research & design 2020-05, Vol.157, p.25-33
Main Authors: Rajković, Katarina M, Vasić, Marijana, Drobac, Milica, Mutić, Jelena, Jeremić, Sanja, Simić, Valentina, Stanković, Jovan
Format: Article
Language:English
Subjects:
Artificial neural network
Artificial neural networks
Caffeoylquinic acid
Cobalt
Copper
Ethanol
Extraction processes
Galactosides
Genetic algorithms
High performance liquid chromatography
Inductively coupled plasma mass spectrometry
Juglans nigra
Manganese
Mass spectrometry
Minerals
Nickel
Optical emission spectroscopy
Optimization
Phenolic constituents
Phenols
Response surface methodology
Selenium
Silver
Solvents
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Summary:The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concentrations (0–96% (v/v)) and solvent-to-solid ratios (5–20 kg kg−1). The response surface methodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) were developed to optimize the extraction variables. The RSM and ANN-GA models determined 50% (v/v) ethanol concentration and 20 kg kg−1 solvent-to-solid ratio as optimal conditions, ensuring an extraction yield of 27.69 and 27.19 g 100 g−1 of dry leaves. The phenolic compounds in optimal extract were quantified: 3-O-caffeoylquinic acid (2.27 mg g−1of dry leaves), quercetin-3-O-galactoside (10.99 mg g−1 of dry leaves) and quercetin-3-O-rhamnoside (15.07 mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K > Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co > V > Ag > Se) using inductively coupled plasma mass spectrometry (ICP-MS). The extraction coefficients for minerals were determined and were highest for K (64.3%) and I (53.5%). Optimization of extraction process resulted in high extraction yield from J. nigra leaves and optimal extract containing different phytochemical compounds.
ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2020.03.002