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Record W7132965745

The Effect of Using Bioflocculants as Conditioners on Dewatering of Biosludge

2023· dissertation· W7132965745 on OpenAlex
Hamed Ghazisaidi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldEnvironmental Science
TopicCoagulation and Flocculation Studies
Canadian institutionsUniversity of Toronto
FundersFPInnovations
KeywordsDewateringOrganosolvFlocculationPulp (tooth)PolyacrylamideLigninRaw material
DOInot available

Abstract

fetched live from OpenAlex

Chemical conditioning by biopolymers, as an alternative for petroleum-based synthetic polymers, for improving the dewatering of biosludge from pulp and paper mills is a growing interest. There are limited studies on the application of biopolymers for enhancing the dewaterability of biosludge and the underlying mechanisms in this process. This thesis explored the possibility of employing biopolymers such as hemoglobin (Hb), lignin-based flocculants (LBFs), and protamine to enhance the dewaterability.Cationic polymers improve the dewaterability of sludge by neutralizing the negative charge of the biosludge particles. Biopolymers such as hemoglobin and lignin do not possess high charge density naturally. As a result, they only exhibit a positive effect on dewaterability after modification through different processes. Hemoglobin from animal blood was methylated to replace the hydrogen carboxyl groups in its structure to become more positively charged. Lignin from pulp manufacturing processes was also modified via free radical polymerization with acrylate-based monomers. Dewaterability was assessed based on the dry solids content after treatment and pressing by Crown press. Capillary suction time (CST) was also used as water separation rate indicator. Only after modification, by using 10% of methylated hemoglobin, the dry solids content of biosludge increased by 5%. Similarly, LBFs considerably decreased the CST by nearly 50 seconds from 73s to 23s and increased the dry solids content by 7% with a relatively high dose of 7.5%. The potential of using dual conditioning method by combining cationic biopolymers such as protamine and LBFs with a small amount of a synthetic anionic polyacrylamide (APAM) was also investigated to lower the dosage required for biopolymers. Dual conditioning provided significant synergistic effect resulting in increasing the solids content of biosludge by 9% and lowering the amount of protamine addition substantially to 2%. In a similar way for LBFs, the biopolymer demand decreased from 7.5% to around 3% by using a dual conditioning system. The cationic biopolymer reduced the negative charge on the particles, allowing smaller particles to agglomerate and provided a positively charged framework for the addition of the APAM. Significant floc-bridging occurred after the addition of APAM, allowing smaller flocs to aggregate into larger flocs.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.376
Teacher spread0.346 · 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