Estimating microbial population counts by 'most probable number' using Microsoft Excel (R)
| cg.identifier.doi | https://doi.org/10.1016/s0167-7012(98)00111-0 | |
| cg.issn | 0167-7012 | |
| cg.issue | 2 | |
| cg.journal | Journal of Microbiological Methods | |
| cg.volume | 35 | |
| dc.contributor.author | Briones, Aurelio M. | |
| dc.contributor.author | Reichardt, Wolfgang | |
| dc.date.accessioned | 2024-12-19T12:57:04Z | en |
| dc.date.available | 2024-12-19T12:57:04Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/167160 | |
| dc.title | Estimating microbial population counts by 'most probable number' using Microsoft Excel (R) | en |
| dcterms.bibliographicCitation | Briones, Aurelio M.; Reichardt, Wolfgang. 1999. Estimating microbial population counts by 'most probable number' using Microsoft Excel (R). Journal of Microbiological Methods, Volume 35 no. 2 p. 157-161 | en |
| dcterms.extent | pp. 157-161 | |
| dcterms.issued | 1999-03 | |
| dcterms.language | en | |
| dcterms.license | Copyrighted; all rights reserved | |
| dcterms.publisher | Elsevier | |
| dcterms.type | Journal Article |
