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Mixture Design and Doehlert Matrix for the Optimization of the Extraction of Phenolic Compounds from Spondias mombin L Apple Bagasse Agroindustrial Residues

Overview of attention for article published in Frontiers in Chemistry, January 2018
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Title
Mixture Design and Doehlert Matrix for the Optimization of the Extraction of Phenolic Compounds from Spondias mombin L Apple Bagasse Agroindustrial Residues
Published in
Frontiers in Chemistry, January 2018
DOI 10.3389/fchem.2017.00116
Pubmed ID
Authors

Antonio C. Santos Felix, Cleber G. Novaes, Maísla Pires Rocha, George E. Barreto, Baraquizio B. do Nascimento, Lisandro D. Giraldez Alvarez

Abstract

In this study, we have determined, using RSM (mixture design and Doehlert matrix), the optimum values of the independent variables to achieve the maximum response for the extraction of total phenolic compounds from Spondias mombin L bagasse agroindustrial residues in order to preserve their antioxidant activity. The extraction of phenolic compounds, as well as their antioxidant capacity and the capacity to scavenge ABTS, was determined by the modified DPPH method at different periods of time, temperature, velocity of rotation and solvents concentration. We observed that the optimum condition for the highest antioxidant yield was obtained using water (60.84%), acetone (30.31%), and ethanol (8.85%) at 30°C during 20 min at 50 rpm. We have also found that the maximum yield of total phenolics was 355.63 ± 9.77 (mg GAE/100 g), showing an EC50 of 3,962.24 ± 41.20 (g fruit/g of DPPH) and 8.36 ± 0.30 (μM trolox/g fruit), which were measured using DPPH and ABTS assays. These results suggest that RSM was successfully applied for optimizing the extraction of phenolics compounds thus preserving their antioxidant activity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 23 24%
Student > Master 13 14%
Researcher 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 6 6%
Other 17 18%
Unknown 18 19%
Readers by discipline Count As %
Unspecified 23 24%
Agricultural and Biological Sciences 9 10%
Engineering 7 7%
Chemistry 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 17 18%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2018.
All research outputs
#14,963,216
of 23,015,156 outputs
Outputs from Frontiers in Chemistry
#1,201
of 6,010 outputs
Outputs of similar age
#255,788
of 441,866 outputs
Outputs of similar age from Frontiers in Chemistry
#11
of 56 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,010 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.