Evaluation of bacterial contamination and control methods in soluble metalworking fluids
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Notice bibliographique
Résumé
Introduction: In the United States, 1.2 million workers are exposed to metalworking fluids.During operations aerosols are produced, and airborne contaminants can be inhaled.Biocides are used to control the bacterial content of metalworking fluids.They can create health-related problems and their efficiency remains to be proven.Objectives: The objectives of this project were to verify whether rigorous cleaning according to a standard protocol could reduce microbial contamination and whether the use of biocides with different spectra could reduce the bacterial population.Method: Four similar machine producing similar components were evaluated.A specific treatment was applied to each machine.The machine used as a control was thoroughly cleaned at the beginning, did not undergo any major cleaning afterward and was operated without the use of any biocide.A major cleaning is a protocol described and recommended by the fluid manufacturer.It was performed at the beginning on each of the three other machines.Two of these machines were subsequently treated with biocides weekly.The fluid samples from the four lathes were collected weekly during a six-month period.Total bacterial and cultivable Gram-negative were analyzed for each sample.Results: Major cleaning of the machines (120-4) did not significantly reduce the concentration of bacteria contained in the cutting fluids when compared to the control machine (120-3) which did not undergo major cleaning.The concentrations of total bacteria were in the 10 6 CFU /mL range for these two lathes.However, a reduction in the total number of fluid changes was observed for this machine.Bacterial flora in the cutting fluids was significantly controlled through the use of biocides.The concentrations of bacteria were in the 10 3 -10 5 CFU/mL range for the lathes with the use of biocides.Conclusion: Since thorough cleaning is insufficient and biocides are recognized as being responsible for some worker health problems, other avenues for controlling the bacterial flora in the cutting fluids should be evaluated in order to reduce worker exposure to their bacterial contaminants.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 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) | 0,001 | 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 découle