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Record W4404887883 · doi:10.18331/brj2024.11.4.2

Bioethanol production from edible insect excreta: a case study on frass from house crickets

2024· article· en· W4404887883 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiofuel Research Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsnot available
FundersProjektträger JülichBundesministerium für Bildung und Forschung
KeywordsFrassBiofuelProduction (economics)InsectEnvironmental sciencePulp and paper industryAgronomyBiologyBiotechnologyEcologyEngineeringLarvaEconomics

Abstract

fetched live from OpenAlex

House crickets are among the most promising edible insect species for inclusion in future agri-food systems. Their appeal stems from environmentally sustainable rearing practices, a high nutritional value, and a long history of traditional use as food. Additionally, their rearing produces a byproduct known as frass, which holds potential as a valuable biomaterial. The utilization of house cricket frass as a substrate for bioethanol production was explored. Frass was digested with cellulases at 10% enzyme/dry matter of substrate, 50°C, pH=5, 48 h. This hydrolysis was combined with different treatments, like acidic (1% sulfuric acid) and alkaline (1% sodium hydroxide), and compared to protease treatment (50°C, pH=6.8, 24 h). The production of sugar and free amino proteins reached 30 and 5 g/L, respectively. Several yeast strains, isolated and identified from various organic waste sources, were tested. The fermentation was performed with Saccharomyces cerevisiae for 48 h with frass hydrolysate, pretreated with sulfuric acid, and digested with proteases and cellulases. The addition of molasses at 0‒60 g/L was considered. Sugar consumption exceeded 80%, with ethanol concentrations reaching 12.56 g/L without molasses and 30.57 g/L with the addition of molasses. Cricket frass was utilized as a substrate for bioethanol production, and the process was significantly enhanced by supplementing it with sugar beet molasses.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.200
GPT teacher head0.381
Teacher spread0.180 · 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