authors |
Mota, I; Pinto, PCR; Novo, C; Sousa, G; Guerreiro, O; Guerra, AR; Duarte, MF; Rodrigues, AE |
nationality |
International |
journal |
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH |
keywords |
RESPONSE-SURFACE METHODOLOGY; CASTANEA-SATIVA SHELL; ANTIOXIDANT ACTIVITY; NATURAL ANTIOXIDANTS; CHEMICAL-COMPOSITION; PHENOLIC-COMPOUNDS; MASS-SPECTROMETRY; STEM BARK; E-RUDIS; WOOD |
abstract |
The bark of Eucalyptus globulus is a promising source of polyphenolic compounds that could be extracted employing polar solvents. Extraction experiments were planned according to the Box-Behnken design to evaluate the effect of temperature and time of extraction and the ethanol/water ratio on the dependent variables total phenolic content (TPC; as gallic acid equivalents, GAE), antioxidant activity (AA; as millimoles of ascorbic acid equivalents, AAE), proanthocyanidins (Pac; as mimosa extract equivalents, MEE), Stiasny number (SN), and coextracted total carbohydrates (TC). Response surface models were developed, and statistical analysis of variance was performed. A maximum of TPC of 32% (W-GAE/W-extract) was achieved for 264 min, 82.5 degrees C, and 52% ethanol corresponding to about 2% of the bark weight. These conditions are close to those leading to maximum values of compounds with AA (2.1 mmol(AAE)/g(extract)) and Pac 14% (w(MEE)/w(extract)). TC in the extract and the SN predicted were 22.7% (w(TC)/w(extract)) and 37, respectively. Preliminary studies concerning the biological activity of some extracts have demonstrated their differential capacity to reduce human breast cancer cell proliferation. |
publisher |
AMER CHEMICAL SOC |
issn |
0888-5885 |
year published |
2012 |
volume |
51 |
issue |
20 |
beginning page |
6991 |
ending page |
7000 |
digital object identifier (doi) |
10.1021/ie300103z |
web of science category |
Engineering, Chemical |
subject category |
Engineering |
unique article identifier |
WOS:000304285400001
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ciceco authors
impact metrics
journal analysis (jcr 2019):
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journal impact factor |
3.573 |
5 year journal impact factor |
3.684 |
category normalized journal impact factor percentile |
69.58 |
dimensions (citation analysis):
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altmetrics (social interaction):
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