<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ou F</submitter><funding>Ministry of Business, Innovation and Employment</funding><pagination>4807</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6423134</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(1)</volume><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&lt;sup>8&lt;/sup> down to 1</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device.</pubmed_title><pmcid>PMC6423134</pmcid><funding_grant_id>UOAX1411</funding_grant_id><pubmed_authors>McGoverin C</pubmed_authors><pubmed_authors>Vanholsbeeck F</pubmed_authors><pubmed_authors>Ou F</pubmed_authors><pubmed_authors>Swift S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device.</name><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&lt;sup>8&lt;/sup> down to 1</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Mar</publication><modification>2025-04-04T11:08:00.051Z</modification><creation>2019-08-03T07:04:27Z</creation></dates><accession>S-EPMC6423134</accession><cross_references><pubmed>30886183</pubmed><doi>10.1038/s41598-019-41221-1</doi></cross_references></HashMap>