Cargando…
Chemometric Analysis of NMR Spectra and Machine Learning to Investigate Membrane Fouling
[Image: see text] Efficient membrane filtration requires the understanding of the membrane foulants and the functional properties of different membrane types in water purification. In this study, dead-end filtration of aquaculture system effluents was performed and the membrane foulants were investi...
Autores principales: | Yokoyama, Daiki, Suzuki, Sosei, Asakura, Taiga, Kikuchi, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025983/ https://www.ncbi.nlm.nih.gov/pubmed/35474825 http://dx.doi.org/10.1021/acsomega.1c06891 |
Ejemplares similares
-
Microbiome and
Metabolome Analyses in Different Closed-Circulation
Aquarium Systems and Their Network Visualization
por: Yokoyama, Daiki, et al.
Publicado: (2022) -
Novel Surrogates for Membrane Fouling and the Application of Support Vector Machine in Analyzing Fouling Mechanism
por: Meng, Xianghao, et al.
Publicado: (2021) -
Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties
por: Wei, Feifei, et al.
Publicado: (2021) -
NMR-TS: de novo molecule identification from NMR spectra
por: Zhang, Jinzhe, et al.
Publicado: (2020) -
Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra
por: Li, Da-Wei, et al.
Publicado: (2022)