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Fenglin Yang

Researcher at Dalian University of Technology

Publications -  421
Citations -  19696

Fenglin Yang is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Membrane & Membrane bioreactor. The author has an hindex of 67, co-authored 406 publications receiving 15974 citations.

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Modified graphite electrode by polyaniline/tourmaline improves the performance of bio-cathode microbial fuel cell

TL;DR: In this paper, a modified electrode by tourmaline and polyaniline (reactor 3) was used as cathode to improve the reduction reaction and enhance the performance of the whole MFC system.
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Optimization of Accelerated Solvent Extraction for the Determination of Chlorinated Pesticides from Animal Feed

TL;DR: In this article, an accelerated solvent extraction (ASE) was investigated for the extraction of organochlorine pesticides from animal feed using response surface methods, and the results were validated by parallel analysis of the certified reference material BCR 115.
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Electropolymerization and ion exchange properties of a polypyrrole film doped by para-toluene sulfonate

TL;DR: In this article, the polypyrrole film doped by para-toluene sulfonate (PPy/pTS) was investigated in aqueous solutions.
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Simultaneous desulfurization and denitrification from flue gas by catalytic ozonation combined with NH3/(NH4)2S2O8 absorption: Mechanisms and recovery of compound fertilizer.

TL;DR: An integrated method of simultaneous desulfurization and denitrification from flue gas by catalytic ozonation combined with NH3/(NH4)2S2O8 absorption was developed for the first time.
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Synthesis of Heat Exchanger Networks Considering Fouling, Aging, and Cleaning

TL;DR: In this article, the authors present a methodology for managing the cleaning schedule problem in the design of heat exchanger networks, which consists of three steps: obtaining an original HEN using pseudotemperature enthalpy diagram approach, simplify the structure of the original heat-transfer areas and cleaning schedules by considering the growth of deposits via a mixed integer nonlinear programming model.