FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3154437303> ?p ?o ?g. }

• W3154437303 endingPage "122424" @default.
• W3154437303 startingPage "122424" @default.
• W3154437303 abstract "Spoilage microorganisms are of great concern for the food industry. While traditional culturing methods for spoilage microorganism detection are laborious and time-consuming, the development of early detection methods has gained a lot of interest in the last decades. In this work a rapid and non-destructive detection and discrimination method of eight important food-related microorganisms ( Bacillus subtilis DSM 10, Bacillus coagulans DSM 1, Escherichia coli K12 DSM 498, Escherichia coli TOP10, Micrococcus luteus DSM 20030, Pseudomonas fluorescens DSM 4358, Pseudomonas fluorescens DSM 50090 and Bacillus thuringiensis israelensis DSM 5724) based on IR-microspectroscopy and chemometric evaluation was developed. Sampling was carried out directly from the surface to be tested, without the need for sample preparation such as purification, singulation, centrifugation and washing steps, as an efficient and inexpensive blotting technique using the sample carrier. IR spectra were recorded directly after the blotting from the surface of the sample carrier without any further pretreatments. A combination of data preprocessing, principal component analysis and canonical discriminant analysis was found to be suitable. The spectral range from 400 to 1750 cm −1 of the IR-microspectrosopic data was determined to be highly sensitive to the time after incubation and sample thickness, resulting in a high standard deviation. Therefore, this area was excluded from the evaluation in favor of the meaningfulness of the chemometric model and, thus, only the spectral range of specific –CH/–NH/–OH excitations (2815–3680 cm −1 ) was used for model development. This study showed that the differentiation of food-related microorganisms on genera, species and strain level is feasible. A leave-one-out cross-validation of the training data set showed 100% accuracy. The classification of the ungrouped test data showed with an accuracy of 94.5% that, despite the large biological variance of the analytes such as different times after incubation and the presented sampling (including its variance), a robust and meaningful model for the differentiation of food-related bacteria could be developed by data preprocessing and subsequent chemometric evaluation. • Use of a rapid sampling- and measurement-strategy for IR-microspectroscopy of bacteria. • Three independent data sets with different times after incubation of each microorganism. • Balanced data set leads to resilient chemometric analysis and meaningful evaluation. • Differentiation of spoilage microorganisms on genera, species and strain level. • Meaningful classification of ungrouped data showed an accuracy of 94.5%." @default.
• W3154437303 created "2021-04-26" @default.
• W3154437303 creator A5007341481 @default.
• W3154437303 creator A5009474830 @default.
• W3154437303 creator A5021024692 @default.
• W3154437303 creator A5028804014 @default.
• W3154437303 creator A5085056463 @default.
• W3154437303 date "2021-09-01" @default.
• W3154437303 modified "2023-09-24" @default.
• W3154437303 title "Rapid detection and discrimination of food-related bacteria using IR-microspectroscopy in combination with multivariate statistical analysis" @default.
• W3154437303 cites W1976615953 @default.
• W3154437303 cites W1980694079 @default.
• W3154437303 cites W1982312229 @default.
• W3154437303 cites W1988760138 @default.
• W3154437303 cites W1989654313 @default.
• W3154437303 cites W1998561993 @default.
• W3154437303 cites W2001619934 @default.
• W3154437303 cites W2005772508 @default.
• W3154437303 cites W2007447166 @default.
• W3154437303 cites W2012295596 @default.
• W3154437303 cites W2031212790 @default.
• W3154437303 cites W2032138018 @default.
• W3154437303 cites W2036925449 @default.
• W3154437303 cites W2049293347 @default.
• W3154437303 cites W2051457239 @default.
• W3154437303 cites W2051789183 @default.
• W3154437303 cites W2063317043 @default.
• W3154437303 cites W2068827585 @default.
• W3154437303 cites W2071384031 @default.
• W3154437303 cites W2079521439 @default.
• W3154437303 cites W2080777204 @default.
• W3154437303 cites W2083926757 @default.
• W3154437303 cites W2087944996 @default.
• W3154437303 cites W2089842689 @default.
• W3154437303 cites W2092777910 @default.
• W3154437303 cites W2099440627 @default.
• W3154437303 cites W2113454941 @default.
• W3154437303 cites W2131372177 @default.
• W3154437303 cites W2152786867 @default.
• W3154437303 cites W2161522599 @default.
• W3154437303 cites W2164296439 @default.
• W3154437303 cites W2276153022 @default.
• W3154437303 cites W2309322622 @default.
• W3154437303 cites W2535220047 @default.
• W3154437303 cites W2587578821 @default.
• W3154437303 cites W2791518841 @default.
• W3154437303 cites W2795249608 @default.
• W3154437303 cites W2808382748 @default.
• W3154437303 cites W2813071235 @default.
• W3154437303 cites W2888664017 @default.
• W3154437303 cites W2902792599 @default.
• W3154437303 cites W2907329685 @default.
• W3154437303 cites W2955617074 @default.
• W3154437303 cites W2963118496 @default.
• W3154437303 cites W2982482221 @default.
• W3154437303 cites W3011542066 @default.
• W3154437303 cites W3031898625 @default.
• W3154437303 cites W3039157469 @default.
• W3154437303 doi "https://doi.org/10.1016/j.talanta.2021.122424" @default.
• W3154437303 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34074410" @default.
• W3154437303 hasPublicationYear "2021" @default.
• W3154437303 type Work @default.
• W3154437303 sameAs 3154437303 @default.
• W3154437303 citedByCount "3" @default.
• W3154437303 countsByYear W31544373032021 @default.
• W3154437303 countsByYear W31544373032022 @default.
• W3154437303 countsByYear W31544373032023 @default.
• W3154437303 crossrefType "journal-article" @default.
• W3154437303 hasAuthorship W3154437303A5007341481 @default.
• W3154437303 hasAuthorship W3154437303A5009474830 @default.
• W3154437303 hasAuthorship W3154437303A5021024692 @default.
• W3154437303 hasAuthorship W3154437303A5028804014 @default.
• W3154437303 hasAuthorship W3154437303A5085056463 @default.
• W3154437303 hasConcept C119128265 @default.
• W3154437303 hasConcept C147490202 @default.
• W3154437303 hasConcept C175605896 @default.
• W3154437303 hasConcept C185592680 @default.
• W3154437303 hasConcept C2776835041 @default.
• W3154437303 hasConcept C2777118263 @default.
• W3154437303 hasConcept C2777272437 @default.
• W3154437303 hasConcept C2778576202 @default.
• W3154437303 hasConcept C2781291461 @default.
• W3154437303 hasConcept C31903555 @default.
• W3154437303 hasConcept C43617362 @default.
• W3154437303 hasConcept C523546767 @default.
• W3154437303 hasConcept C54355233 @default.
• W3154437303 hasConcept C86803240 @default.
• W3154437303 hasConceptScore W3154437303C119128265 @default.
• W3154437303 hasConceptScore W3154437303C147490202 @default.
• W3154437303 hasConceptScore W3154437303C175605896 @default.
• W3154437303 hasConceptScore W3154437303C185592680 @default.
• W3154437303 hasConceptScore W3154437303C2776835041 @default.
• W3154437303 hasConceptScore W3154437303C2777118263 @default.
• W3154437303 hasConceptScore W3154437303C2777272437 @default.
• W3154437303 hasConceptScore W3154437303C2778576202 @default.
• W3154437303 hasConceptScore W3154437303C2781291461 @default.
• W3154437303 hasConceptScore W3154437303C31903555 @default.
• W3154437303 hasConceptScore W3154437303C43617362 @default.

• next