Table 1.
Comparison of PHA production across different microbial strains
| Strain | Type | Substrate | PHA Yield (% DCW) | Method/Condition | Scalability Challenges | References |
|---|---|---|---|---|---|---|
| Chlorella pyrenoidosa | Microalga | Glucose | 27% | N-limitation + batch cultivation | Moderate yield, sensitive to contamination | Devadas et al. (2021) |
| Spirulina sp. | Cyanobacteria | Waste glycerol | 12–22% | Salinity stress | Moderate scalability, requires pH control | Costa et al. (2020); Mourão et al. (2020) |
| Phaeodactylum tricornutum | Microalga | Sulfur-deprived media | 10.6% | Photoperiod 14:10 | Low productivity, expensive photobioreactors | Hempel et al. (2011) |
| Cupriavidus necator | Bacterium | Fructose, CO₂ | ~ 90% | Fed-batch fermentation | High yield, high substrate cost | Bellini et al. (2022) |
| Halomonas campaniensis | Marine Bacterium | Mixed fatty acids | 60–70% | Non-sterile, saline environment | Needs halophilic reactor conditions | Yue et al. (2014) |
| Bacillus megaterium MNSH1-9 K-1 | Bacterium | Fruit peel hydrolysates | 52% | Open culture, enzymatic pretreatment | Variable carbon content in feedstock | Rivas-Castillo et al. (2024) |
| Chlorella fusca | Microalga | Pentose sugar | High (exact % not defined) | Static culture + gene upregulation | Slow growth, PHB recovery difficulty | Cassuriaga et al. (2018) |
| Pseudomonas putida KT2440 | Bacterium | Fatty acids, glycerol | ~ 65% | Accumulation reactor | Requires multi-stage processing | Le et al. (2012) |
| Synechococcus subsalsus | Cyanobacteria | Glucose under N-deficiency | 16% | Controlled photobioreactor | Genetic tools still under development | Kartik et al. (2021) |