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Saccharification of newspaper waste after ammonia fiber expansion or extractive ammonia

Overview of attention for article published in AMB Express, March 2016
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Title
Saccharification of newspaper waste after ammonia fiber expansion or extractive ammonia
Published in
AMB Express, March 2016
DOI 10.1186/s13568-016-0189-9
Pubmed ID
Authors

Salvatore Montella, Venkatesh Balan, Leonardo da Costa Sousa, Christa Gunawan, Simona Giacobbe, Olimpia Pepe, Vincenza Faraco

Abstract

The lignocellulosic fractions of municipal solid waste (MSW) can be used as renewable resources due to the widespread availability, predictable and low pricing and suitability for most conversion technologies. In particular, after the typical paper recycling loop, the newspaper waste (NW) could be further valorized as feedstock in biorefinering industry since it still contains up to 70 % polysaccharides. In this study, two different physicochemical methods-ammonia fiber expansion (AFEX) and extractive ammonia (EA) were tested for the pretraetment of NW. Furthermore, based on the previously demonstrated ability of the recombinant enzymes endocellulase rCelStrep, α-L-arabinofuranosidase rPoAbf and its evolved variant rPoAbf F435Y/Y446F to improve the saccharification of different lignocellulosic pretreated biomasses (such as corn stover and Arundo donax), in this study these enzymes were tested for the hydrolysis of pretreated NW, with the aim of valorizing the lignocellulosic fractions of the MSW. In particular, a mixture of purified enzymes containing cellulases, xylanases and accessory hemicellulases, was chosen as reference mix and rCelStrep and rPoAbf or its variant were replaced to EGI and Larb. The results showed that these enzymatic mixes are not suitable for the hydrolysis of NW after AFEX or EA pretreatment. On the other hand, when the enzymes rCelStrep, rPoAbf and rPoAbf F435Y/Y446F were tested for their effect in hydrolysis of pretreated NW by addition to a commercial enzyme mixture, it was shown that the total polysaccharides conversion yield reached 37.32 % for AFEX pretreated NW by adding rPoAbf to the mix whilst the maximum sugars conversion yield for EA pretreated NW was achieved 40.80 % by adding rCelStrep. The maximum glucan conversion yield obtained (45.61 % for EA pretreated NW by adding rCelStrep to the commercial mix) is higher than or comparable to those reported in recent manuscripts adopting hydrolysis conditions similar to those used in this study.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 25%
Student > Ph. D. Student 5 18%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 5 18%
Unknown 4 14%
Readers by discipline Count As %
Engineering 5 18%
Agricultural and Biological Sciences 4 14%
Chemistry 4 14%
Environmental Science 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Other 5 18%
Unknown 4 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 March 2016.
All research outputs
#3,761,557
of 7,342,039 outputs
Outputs from AMB Express
#163
of 387 outputs
Outputs of similar age
#152,400
of 281,940 outputs
Outputs of similar age from AMB Express
#13
of 20 outputs
Altmetric has tracked 7,342,039 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 387 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 281,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.