Quality Control of Tri-n-octylphosphine Oxide. Aromatic compounds can be divided into two categories: single heterocycles and fused heterocycles. Compound: Tri-n-octylphosphine Oxide, is researched, Molecular C24H51OP, CAS is 78-50-2, about Prediction of succinic acid extraction efficiency in the emulsion liquid membrane by using machine learning techniques. Author is Gul, Sevda; Manzak, Aynur; Cetinel, Gokcen.
This research aims to predict succinic acid concentration in the external phase during the emulsion liquid membrane process by using artificial neural networks along with a popular alternative method: k-nearest neighbor technique. The solute concentration values can be predicted by the proposed method without performing a great number of emulsion liquid membrane experiments Several computer simulations were performed to demonstrate the success of the system. Simulation results showed that the estimated solute concentration values are very close to the achieved exptl. results. The optimal conditions for emulsion liquid membrane were found to be: solvent kerosene, TOPO concentration (1%weight/weight), Amberlite LA-2 concentration (4%weight/weight), surfactant concentration (5%weight/weight), Na2CO3 concentration (5%w/v), modifier (decanol) concentration (2%weight/weight), mixing speed 300 rpm. The average accuracy percentages achieved by artificial neural network and k-nearest neighbor approaches were 88.75 ± 1.94% and 90.2 ± 1.2%, resp.
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Reference:
Chapter 1 An introduction to palladium catalysis,
Palladium/carbon catalyst regeneration and mechanical application method