Metabolite characterisation and profiling of Hermetia illucens L. larvae at various growth stages using Sesamum indicum residues as nutrient source
Why this work is in the frame
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Bibliographic record
Abstract
The larvae of black soldier fly ( Hermetia illucens L.) (BSFL) is an excellent decomposer for industrial and agricultural applications capable of converting low-value waste into nutritional biomass. Sesame residues is industrial food waste possess high protein and lipid content. To investigate the bioconversion process of BSFL, the larvae were raised on a low-bioburden diet consisting of sesame residue, and liquid chromatography-mass spectrometry (LC-MS) analysis was performed on the BSFL and faeces at various instars. The obtained metabolomes were subsequently evaluated through principal component analysis and orthogonal projection to latent structure-discriminant analysis to explore the differential components. Diacylglycerol was the main component of the sesame residues utilised by BSFL during metabolism. The phenylalanine, arginine, oleic acid and 10-hydroxy-8E-octadecenoic acid were identified as the major components in various instars of the BSFL metabolites. We thus concluded that BSFL have different nutritional compositions at different instar stages. Another compound with a molecular weight of 278.224 prevalent in both the larvae and faeces might play vital roles in BSFL development. The present study revealed a part of metabolic changes important in the BSFL lifecycle. Through this pioneering metabolomics profiles, the discovery of highly-valuable biomolecules on BSFL for food industrial application can be anticipated.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it