FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3087291236> ?p ?o ?g. }

• W3087291236 endingPage "13733" @default.
• W3087291236 startingPage "13724" @default.
• W3087291236 abstract "Microplastics are defined as microscopic plastic particles in the range from few micrometers and up to 5 mm. These small particles are classified as primary microplastics when they are manufactured in this size range, whereas secondary microplastics arise from the fragmentation of larger objects. Microplastics are widespread emerging pollutants, and investigations are underway to determine potential harmfulness to biota and human health. However, progress is hindered by the lack of suitable analytical methods for rapid, routine, and unbiased measurements. This work aims to develop an automated analytical method for the characterization of small microplastics (<100 μm) using micro-Fourier transform infrared (μ-FTIR) hyperspectral imaging and machine learning tools. Partial least squares discriminant analysis (PLS-DA) and soft independent modeling of class analogy (SIMCA) models were evaluated, applying different data preprocessing strategies for classification of nine of the most common polymers produced worldwide. The hyperspectral images were also analyzed to quantify particle abundance and size automatically. PLS-DA presented a better analytical performance in comparison with SIMCA models with higher sensitivity, sensibility, and lower misclassification error. PLS-DA was less sensitive to edge effects on spectra and poorly focused regions of particles. The approach was tested on a seabed sediment sample (Roskilde Fjord, Denmark) to demonstrate the method efficiency. The proposed method offers an efficient automated approach for microplastic polymer characterization, abundance numeration, and size distribution with substantial benefits for method standardization." @default.
• W3087291236 created "2020-09-25" @default.
• W3087291236 creator A5003176364 @default.
• W3087291236 creator A5061986461 @default.
• W3087291236 creator A5064299897 @default.
• W3087291236 creator A5079267600 @default.
• W3087291236 creator A5085550534 @default.
• W3087291236 date "2020-09-18" @default.
• W3087291236 modified "2023-10-05" @default.
• W3087291236 title "Classification and Quantification of Microplastics (<100 μm) Using a Focal Plane Array–Fourier Transform Infrared Imaging System and Machine Learning" @default.
• W3087291236 cites W1498055387 @default.
• W3087291236 cites W1582684391 @default.
• W3087291236 cites W1956592121 @default.
• W3087291236 cites W1967542684 @default.
• W3087291236 cites W2006766288 @default.
• W3087291236 cites W2012358846 @default.
• W3087291236 cites W2019528349 @default.
• W3087291236 cites W2036097478 @default.
• W3087291236 cites W2068324025 @default.
• W3087291236 cites W2098136451 @default.
• W3087291236 cites W2103747630 @default.
• W3087291236 cites W2115268776 @default.
• W3087291236 cites W2143788139 @default.
• W3087291236 cites W2293139927 @default.
• W3087291236 cites W2304816594 @default.
• W3087291236 cites W2505522325 @default.
• W3087291236 cites W2528340666 @default.
• W3087291236 cites W2555925165 @default.
• W3087291236 cites W2572128147 @default.
• W3087291236 cites W2593083124 @default.
• W3087291236 cites W2763148304 @default.
• W3087291236 cites W2766043371 @default.
• W3087291236 cites W2775545376 @default.
• W3087291236 cites W2789438661 @default.
• W3087291236 cites W2804602468 @default.
• W3087291236 cites W2856517393 @default.
• W3087291236 cites W2889572423 @default.
• W3087291236 cites W2891179277 @default.
• W3087291236 cites W2897707561 @default.
• W3087291236 cites W2900690725 @default.
• W3087291236 cites W2905045686 @default.
• W3087291236 cites W2905098115 @default.
• W3087291236 cites W2905437006 @default.
• W3087291236 cites W2922884429 @default.
• W3087291236 cites W2925152992 @default.
• W3087291236 cites W2934951137 @default.
• W3087291236 cites W2957949688 @default.
• W3087291236 cites W2981776142 @default.
• W3087291236 cites W2998982589 @default.
• W3087291236 cites W4247156590 @default.
• W3087291236 doi "https://doi.org/10.1021/acs.analchem.0c01324" @default.
• W3087291236 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32942858" @default.
• W3087291236 hasPublicationYear "2020" @default.
• W3087291236 type Work @default.
• W3087291236 sameAs 3087291236 @default.
• W3087291236 citedByCount "76" @default.
• W3087291236 countsByYear W30872912362021 @default.
• W3087291236 countsByYear W30872912362022 @default.
• W3087291236 countsByYear W30872912362023 @default.
• W3087291236 crossrefType "journal-article" @default.
• W3087291236 hasAuthorship W3087291236A5003176364 @default.
• W3087291236 hasAuthorship W3087291236A5061986461 @default.
• W3087291236 hasAuthorship W3087291236A5064299897 @default.
• W3087291236 hasAuthorship W3087291236A5079267600 @default.
• W3087291236 hasAuthorship W3087291236A5085550534 @default.
• W3087291236 hasBestOaLocation W30872912362 @default.
• W3087291236 hasConcept C107872376 @default.
• W3087291236 hasConcept C153180895 @default.
• W3087291236 hasConcept C154945302 @default.
• W3087291236 hasConcept C159078339 @default.
• W3087291236 hasConcept C185592680 @default.
• W3087291236 hasConcept C186060115 @default.
• W3087291236 hasConcept C2780401329 @default.
• W3087291236 hasConcept C41008148 @default.
• W3087291236 hasConcept C65597285 @default.
• W3087291236 hasConcept C86803240 @default.
• W3087291236 hasConceptScore W3087291236C107872376 @default.
• W3087291236 hasConceptScore W3087291236C153180895 @default.
• W3087291236 hasConceptScore W3087291236C154945302 @default.
• W3087291236 hasConceptScore W3087291236C159078339 @default.
• W3087291236 hasConceptScore W3087291236C185592680 @default.
• W3087291236 hasConceptScore W3087291236C186060115 @default.
• W3087291236 hasConceptScore W3087291236C2780401329 @default.
• W3087291236 hasConceptScore W3087291236C41008148 @default.
• W3087291236 hasConceptScore W3087291236C65597285 @default.
• W3087291236 hasConceptScore W3087291236C86803240 @default.
• W3087291236 hasFunder F4320309928 @default.
• W3087291236 hasFunder F4320310489 @default.
• W3087291236 hasFunder F4320332999 @default.
• W3087291236 hasIssue "20" @default.
• W3087291236 hasLocation W30872912361 @default.
• W3087291236 hasLocation W30872912362 @default.
• W3087291236 hasLocation W30872912363 @default.
• W3087291236 hasLocation W30872912364 @default.
• W3087291236 hasOpenAccess W3087291236 @default.
• W3087291236 hasPrimaryLocation W30872912361 @default.
• W3087291236 hasRelatedWork W1993874650 @default.
• W3087291236 hasRelatedWork W2028628118 @default.

• next