{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ou F"],"funding":["Ministry of Business, Innovation and Employment"],"pagination":["4807"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6423134"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["A rapid, cost-effective and easy method that allows on-site determination of the concentration of live and dead bacterial cells using a fibre-based spectroscopic device (the optrode system) is proposed and demonstrated. Identification of live and dead bacteria was achieved by using the commercially available dyes SYTO 9 and propidium iodide, and fluorescence spectra were measured by the optrode. Three spectral processing methods were evaluated for their effectiveness in predicting the original bacterial concentration in the samples: principal components regression (PCR), partial least squares regression (PLSR) and support vector regression (SVR). Without any sample pre-concentration, PCR achieved the most reliable results. It was able to quantify live bacteria from 10<sup>8</sup> down to 1"],"journal":["Scientific reports"],"pubmed_title":["Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device."],"pmcid":["PMC6423134"],"funding_grant_id":["UOAX1411"],"pubmed_authors":["McGoverin C","Vanholsbeeck F","Ou F","Swift S"],"additional_accession":[]},"is_claimable":false,"name":"Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device.","description":"A rapid, cost-effective and easy method that allows on-site determination of the concentration of live and dead bacterial cells using a fibre-based spectroscopic device (the optrode system) is proposed and demonstrated. Identification of live and dead bacteria was achieved by using the commercially available dyes SYTO 9 and propidium iodide, and fluorescence spectra were measured by the optrode. Three spectral processing methods were evaluated for their effectiveness in predicting the original bacterial concentration in the samples: principal components regression (PCR), partial least squares regression (PLSR) and support vector regression (SVR). Without any sample pre-concentration, PCR achieved the most reliable results. It was able to quantify live bacteria from 10<sup>8</sup> down to 1","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Mar","modification":"2025-04-04T11:08:00.051Z","creation":"2019-08-03T07:04:27Z"},"accession":"S-EPMC6423134","cross_references":{"pubmed":["30886183"],"doi":["10.1038/s41598-019-41221-1"]}}