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Record W2745107761 · doi:10.25269/jsel.v4i02.88

PERBAIKAN FREENESS DAN MUTU KERTAS BEKAS MENGGUNAKAN CELLULOSE BINDING DOMAIN DARI ENDOGLUKANASE Egl-II

2014· article· en· W2745107761 on OpenAlexaboutno aff
Rina Masriani, Taufan Hidayat, Henggar Hardiani

Bibliographic record

VenueJURNAL SELULOSA · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsnot available
FundersInstitut Teknologi BandungBudapesti Műszaki és Gazdaságtudományi Egyetem
KeywordsCellulaseChemistryCellobioseCelluloseNuclear chemistryChromatographyBiochemistry

Abstract

fetched live from OpenAlex

The objective of this research is improving the freeness of waste paper stock and paper quality by using the Cellulose Binding Domain (CBD) of endoglucanase Egl-II. CBD has been separated from endoglucanase Egl-II by proteolysis method. CBD has a molecular weight of approximately 21 kD. The produced CBD contained 0.04 mg / mL protein and did not show the total enzyme activity. Waste paper disintegrated using Niagara beater with no load at the consistency of 1.5%. CBD was applied to the refined waste paper fibers with a freeness of 200 mL CSF (Canadian Standard Freeness). The dosages of CBD used for waste paper treatment were 0.2 and 0.3 mg CBD/g of oven-dried pulp. The result shows that this treatment increases the freeness of fibers by 140 mL CSF (70%). CBD also increases the amount of removed water from the fibers from 290 mL to 390 mL and 370 mL, respectively, using the dynamic drainage jar (DDJ) measurement. The cellobiose assay of the waste paper filtrate treated with CBD shows no sugar dissolution, which indicates no cellulose degradation. The tear index of paper produced by treatment with CBD shows insignificant change. The Concora Medium Test (CMT) of paper produced by treatment with CBD has higher tensile index, burst index, and ring crush.Keywords: cellulose-binding domain, endoglucanase Egl-II, freeness improvement, waste paperABSTRAKTujuan penelitian ini adalah untuk memperbaiki freeness dari stok kertas bekas dan mutu lembaran kertas yang dihasilkan dengan menggunakan Cellulose Binding Domain (CBD) dari endoglukanase Egl-II. CBD yang digunakan merupakan hasil pemisahan dari endoglukanase Egl-II dengan metode proteolisis. CBD ini memiliki berat molekul sekitar 21 kD. CBD yang dihasilkan mengandung kadar protein sebesar 0,04 mg/mL dan tidak terdeteksi adanya aktivitas total enzim. Kertas bekas diuraikan dengan menggunakan Niagara beater tanpa beban pada konsistensi 1,5%. CBD diaplikasikan pada serat kertas bekas yang telah digiling dan memiliki freeness 200 mL CSF (Canadian Standard Freeness). Dosis CBD yang digunakan untuk perlakuan terhadap serat kertas bekas adalah 0,2 dan 0,3 mg CBD/g pulp kering-oven. Hasil penelitian menunjukkan perlakuan dengan CBD meningkatkan freeness bubur serat kertas bekas sebesar 140 mL CSF (70%). CBD juga meningkatkan volume air yang dihilangkan dari serat kertas bekas dari 290 mL menjadi 390 mL dan 370 mL menggunakan pengukuran dynamic drainage jar (DDJ). %FPR meningkat dari 98,80% menjadi 99,77%. Pengujian selobiosa terlarut pada filtrat serat kertas bekas yang telah mengalami perlakuan dengan CBD memperlihatkan tidak ada gula terlarut, artinya tidak ada degradasi selulosa menjadi gula terlarut. Indeks sobek dari kertas yang dihasilkan melalui perlakuan dengan CBD memperlihatkan tidak ada perubahan yang signifikan. Nilai tensile index, burst index, ring crush dan Concora Medium Test (CMT) dari kertas yang dihasilkan melalui perlakuan dengan CBD meningkat.Kata kunci: cellulose-binding domain, endoglukanase Egl-II, perbaikan freeness, kertas bekas

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.190
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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