Application of cyanobacteria in radioactive waste
Notice bibliographique
Résumé
The extremely toxic radioactive wastes whose radioactivity persists for thousands of years are accumulated through nuclear power plants, mining companies, industries, and research centers, among others. However, the lack of technology for the treatment and removal of radioactivity from radioactive waste becomes a bottleneck for research. Currently, there are temporary solutions, and the radioactive waste continues to increase. Given this scenario it is necessary to seek alternatives for the treatment of radioactive waste with efficiency and low cost, without polluting the environment, and that is not harmful to human health. One way to reduce this type of pollution is to use microorganisms, especially cyanobacteria, which comprise one of the largest, most ecologically diverse, successful, and important group of bacteria on Earth. These bacteria have a great ability to remove pollutants, such as heavy metals, textile dyes, pesticides, etc., but their role in the degradation of recalcitrant and radioactive compounds is still scarce. The present work aimed to investigate the potential of cyanobacteria isolated from different environments to remove radiolabeled molecules from radioactive waste (containing 14C radioisotopes). Seven cyanobacteria, Synechococcus sp. CENA136 (isolated from the Mangrove of Cardoso Island), Phormidium autumnale UTEX 1580 (collection of UTEX cultures - fish aquarium), Nostoc sp CENA420 (Antarctica), Limnothrix sp. CENA458 (isolated from the reservoir), Oscillatoria acuminata CENA525 (isolated from the Pantanal), Nodularia sp CENA215 (isolated from Caatinga), and Trichormus SP UFV-56 (isolated from the Federal University of Viçosa-MG) were used in the present study. Cyanobacteria were maintained in Z8, BG-11, and SWBG-11 liquid culture medium under constant fluorescent lighting of 40 µmol photons·m-2·s-1 and a controlled temperature of 23 ± 1°C. Radioactive waste containing several 14C organic molecules, solubilized in organic solvents was used. The inoculums were obtained from 50 mL of culture medium. The radioactive waste was added at concentrations of 0, 5, 10 and 15%. To investigate the removal of the radioactivity present in the waste, analysis was performed by Liquid Scintillation Counting (LSC) in the beginning and final cultivation and HPLC (coupled to a flow scintillation analyzer) in order to evaluate the profile of radioactive molecules present in the waste. Intracellularly accumulated radioactivity was also assessed by LSC after cell disruption. The ability to accumulate radioactive molecules intracellularly was observed in all cyanobacteria, but Nostoc sp CENA420 accumulated 43% and Trichormus sp UFV-56 accumulated 68%, both cultivated with 15% of radioactive waste. These results showed that the cyanobacteria Nostoc sp CENA420 and Trichormus sp UFV-56 consumed 87 and 86% of radioactive molecules, respectively, being of great potential for the removal of radiolabeled radioactive waste molecules. Research using cyanobacteria to remove radiolabeled molecules from radioactive waste is still at an early stage but is a promising alternative to biological treatment.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».