Results 141 to 150 of about 6,448,115 (298)

Solid Phase Extraction

Journal of Research of the National Institute of Standards and Technology, 2017
openaire   +2 more sources

Determination of trace level microcystins in water using solid-phase extraction and high performance liquid chromatography

, 2001
This paper presents a method for trace level analysis of microcystins in water using solid-phase extraction and high performance liquid chromatography.
Xu, XQ, Zhang, WH, Xu, XQ, Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China   +2 more
core  

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Aerogel Pore-Confined High-Loading MOF-199 for Micro-Solid-Phase Extraction of Methorphan Enantiomer in Biological Samples. [PDF]

J Sep Sci
Huang S, Zhang S, Yao H, Huang Z, Zhang D, Pan Y, Lü T, Zhao H.   +7 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Magnetic montmorillonite functionalized with UiO-66 metal-organic framework as a hierarchical adsorbent for magnetic solid-phase extraction of polycyclic aromatic hydrocarbons. [PDF]

RSC Adv
Hosseininia M, Amiri A, Mirzaei M.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Magnetic porous reduced graphene oxide-based dispersive solid phase extraction for triclosan quantification in water. [PDF]

iScience
Dong L, Han B, Jin M, Zhao Y.
europepmc   +1 more source

Quercetin molecularly imprinted polymers: Preparation, recognition characteristics and properties as sorbent for solid-phase extraction

, 2009
Molecular imprinted polymers (MIPs) were prepared through thermal polymerization by using quercetin as the template molecule, acrylamide (AA) as the functional monomer and ethylene glycol dimethacrylate (EDMA) as the cross-linker in the porogen of ...
Chen, Lingxin, Li, Jinhua, Wang, Jiangtao, Song, Xingliang   +3 more
core  

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source