Evidence map›Paper›PMID 26862348›Full record

ArticleBiotechnology for biofuels2016

Effective alkaline metal-catalyzed oxidative delignification of hybrid poplar.

Aditya Bhalla, Namita Bansal, Ryan J Stoklosa, Mackenzie Fountain, John Ralph, David B Hodge, Eric L Hegg

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  5. Mixed Acid Fermentation of Carbohydrate-Rich Dairy Manure Hydrolysate.Frontiers in bioengineering and biotechnology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Aditya BhallaDOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, USA ; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, USA.
Namita BansalDOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, USA ; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, USA.
Ryan J StoklosaDOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, USA ; Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, USA.
Mackenzie FountainDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, USA.
John RalphDOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, USA.
David B HodgeDOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, USA ; Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, USA ; Division of Sustainable Process Engineering, Luleå University of Technology, Luleå, Sweden.
Eric L HeggDOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, USA ; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, USA.
Michigan State University · USGreat Lakes Bioenergy Research Center · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrategies to improve copper-catalyzed alkaline hydrogen peroxide (Cu-AHP) pretreatment of hybrid poplar were investigated. These improvements included a combination of increasing hydrolysis yields, while simultaneously decreasing process inputs through (i) more efficient utilization of H2O2 and (ii) the addition of an alkaline extraction step prior to the metal-catalyzed AHP pretreatment. We hypothesized that utilizing this improved process could substantially lower the chemical inputs needed during pretreatment.

resultsHybrid poplar was pretreated utilizing a modified process in which an alkaline extraction step was incorporated prior to the Cu-AHP treatment step and H2O2 was added batch-wise over the course of 10 h. Our results revealed that the alkaline pre-extraction step improved both lignin and xylan solubilization, which ultimately led to improved glucose (86 %) and xylose (95 %) yields following enzymatic hydrolysis. An increase in the lignin solubilization was also observed with fed-batch H2O2 addition relative to batch-only addition, which again resulted in increased glucose and xylose yields (77 and 93 % versus 63 and 74 %, respectively). Importantly, combining these strategies led to significantly improved sugar yields (96 % glucose and 94 % xylose) following enzymatic hydrolysis. In addition, we found that we could substantially lower the chemical inputs (enzyme, H2O2, and catalyst), while still maintaining high product yields utilizing the improved Cu-AHP process. This pretreatment also provided a relatively pure lignin stream consisting of ≥90 % Klason lignin and only 3 % xylan and 2 % ash following precipitation. Two-dimensional heteronuclear single-quantum coherence (2D HSQC) NMR and size-exclusion chromatography demonstrated that the solubilized lignin was high molecular weight (Mw ≈ 22,000 Da) and only slightly oxidized relative to lignin from untreated poplar.

conclusionsThis study demonstrated that the fed-batch, two-stage Cu-AHP pretreatment process was effective in pretreating hybrid poplar for its conversion into fermentable sugars. Results showed sugar yields near the theoretical maximum were achieved from enzymatically hydrolyzed hybrid poplar by incorporating an alkaline extraction step prior to pretreatment and by efficiently utilizing H2O2 during the Cu-AHP process. Significantly, this study reports high sugar yields from woody biomass treated with an AHP pretreatment under mild reaction conditions.

Indexed as

Alkaline hydrogen peroxide (AHP) pretreatmentBiomass conversionCatalysisCellulosic biofuelsCopperHybrid poplarLigninOxidative delignificationSugars

Identifiers

PMID26862348
PMCPMC4746924
OpenAlexW2269571290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.