scholarly journals Chemical composition and extraction kinetics of Holm oak ( Quercus ilex ) hemicelluloses using subcritical water

2017 ◽  
Vol 129 ◽  
pp. 56-62 ◽  
Author(s):  
Florencia M. Yedro ◽  
Henrik Grénman ◽  
Jussi V. Rissanen ◽  
Tapio Salmi ◽  
Juan García-Serna ◽  
...  
2018 ◽  
Vol 122 ◽  
pp. 402-413 ◽  
Author(s):  
Miljana S. Marković ◽  
Dragana B. Radosavljević ◽  
Vladimir P. Pavićević ◽  
Mihailo S. Ristić ◽  
Svetomir Ž. Milojević ◽  
...  

2011 ◽  
Vol 131 (4) ◽  
pp. 893-904 ◽  
Author(s):  
José Valero Galván ◽  
Jesús J. Jorrín Novo ◽  
Augusto Gómez Cabrera ◽  
David Ariza ◽  
Juan García-Olmo ◽  
...  

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2260
Author(s):  
Roslina Jamaludin ◽  
Dong-Shin Kim ◽  
Liza Md Salleh ◽  
Sang-Bin Lim

Noni fruits (Morinda citrifolia) are a source of phenolic bioactive compounds (scopoletin, alizarin, and rutin), which have antioxidant, antimicrobial, anticancer, and anti-inflammatory activities. In this study, subcritical water was applied to determine the extraction yields and kinetics of phenolic compounds from noni fruits. The scopoletin and alizarin yields increased with the increase in temperature from 100 to 140 °C, while that of rutin increased up to 120 °C and then decreased at 140 °C. The yields of all the compounds rapidly increased from 1 to 2 mL/min and then slightly up to 3 mL/min of water flow rate. The extraction kinetics were assessed using two mathematical models. The two-site kinetic desorption model had a better fit for all experimental conditions throughout the extraction cycle and best described the extraction kinetics of phenolic compounds from noni fruits. The diffusion coefficients of scopoletin and alizarin at 140 °C and 3 mL/min were 3.7- and 16.2-fold higher than those at 100 °C and 1 mL/min, respectively. The activation energies of alizarin were 2.9- to 8.5-fold higher than those of scopoletin at various flow rates. Thus, subcritical water could be an excellent solvent with higher extraction yields and shorter extraction times using an environmentally friendly solvent.


Author(s):  
Michiaki Matsumoto ◽  
Shinji Uenoyama ◽  
Tadashi Hano ◽  
Makato Hirata ◽  
Shigenobu Miura

Vegetatio ◽  
1992 ◽  
Vol 99-100 (1) ◽  
pp. 51-59 ◽  
Author(s):  
M. J. Lled� ◽  
J. R. S�nchez ◽  
J. Bellot ◽  
J. Boronat ◽  
J. J. Iba�ez ◽  
...  
Keyword(s):  
Holm Oak ◽  

2012 ◽  
Vol 12 (21) ◽  
pp. 10239-10255 ◽  
Author(s):  
L. T. Padró ◽  
R. H. Moore ◽  
X. Zhang ◽  
N. Rastogi ◽  
R. J. Weber ◽  
...  

Abstract. Aerosol composition and mixing state near anthropogenic sources can be highly variable and can challenge predictions of cloud condensation nuclei (CCN). The impacts of chemical composition on CCN activation kinetics is also an important, but largely unknown, aspect of cloud droplet formation. Towards this, we present in-situ size-resolved CCN measurements carried out during the 2008 summertime August Mini Intensive Gas and Aerosol Study (AMIGAS) campaign in Atlanta, GA. Aerosol chemical composition was measured by two particle-into-liquid samplers measuring water-soluble inorganic ions and total water-soluble organic carbon. Size-resolved CCN data were collected using the Scanning Mobility CCN Analysis (SMCA) method and were used to obtain characteristic aerosol hygroscopicity distributions, whose breadth reflects the aerosol compositional variability and mixing state. Knowledge of aerosol mixing state is important for accurate predictions of CCN concentrations and that the influence of an externally-mixed, CCN-active aerosol fraction varies with size from 31% for particle diameters less than 40 nm to 93% for accumulation mode aerosol during the day. Assuming size-dependent aerosol mixing state and size-invariant chemical composition decreases the average CCN concentration overprediction (for all but one mixing state and chemical composition scenario considered) from over 190–240% to less than 20%. CCN activity is parameterized using a single hygroscopicity parameter, κ, which averages to 0.16 ± 0.07 for 80 nm particles and exhibits considerable variability (from 0.03 to 0.48) throughout the study period. Particles in the 60–100 nm range exhibited similar hygroscopicity, with a κ range for 60 nm between 0.06–0.076 (mean of 0.18 ± 0.09). Smaller particles (40 nm) had on average greater κ, with a range of 0.20–0.92 (mean of 0.3 ± 0.12). Analysis of the droplet activation kinetics of the aerosol sampled suggests that most of the CCN activate as rapidly as calibration aerosol, suggesting that aerosol composition exhibits a minor (if any) impact on CCN activation kinetics.


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