Lactic acid fermentation using Rhizopus spp.: current insights and future prospects
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.
Bibliographic record
Abstract
Lactic acid (LA) is a versatile organic acid widely used in food, chemical, pharmaceutical, and cosmetics industries. Its demand has significantly increased due to its role in producing biodegradable and biocompatible polylactic acid (PLA) polymers. Fungal species from the Rhizopus genus offer several advantages over bacteria when producing lactic acid through fermentation of renewable substrates, including amylolytic capabilities, minimal nutrient requirements, and valuable fungal biomass as a by-product. This review highlights recent advancements in the metabolic and enzymatic pathways, fermentation substrates, modes, and methods utilized in LA production by Rhizopus species. It explores critical bioprocess parameters such as nutrient composition, pH, and fungal morphology, which are examined for their roles in optimizing production. Furthermore, developments in high cell-density fermentation and improved downstream processes for lactic acid recovery and purification are discussed. The challenges and opportunities for scaling up LA production from various substrates are critically analyzed, along with future strategies for improving fungal fermentation systems. Finally, the techno-economic feasibility of fungal-based LA production is also discussed.
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 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 | 0.001 | 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