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Assembly of odour adsorbent nanofilters by incorporating cyclodextrin molecules into electrospun cellulose acetate webs

Version 2 2024-03-12, 17:10
Version 1 2024-03-01, 10:54
journal contribution
posted on 2024-03-12, 17:10 authored by Behrouz Ghorani, Rassoul Kadkhodaee, Ghadir Rajabzadeh, Nick TuckerNick Tucker

A significant problem in ventilating domestic or commercial kitchens is the removal and separation of volatilecompounds which we perceive as strong smells of the sort particularly emitted whilst frying food. In this research, thefeasibility of preparing enriched electrospun cellulose acetate (CA)-based nanofibres containing cone-shapedmolecules of beta-cyclodextrin (?-CD) for the adsorption of the very strong and sharp aldehyde odour of hexanal,which is a marker for oil and fat oxidation was investigated. A binary solvent system using acetone: DMF (2:1) wasshown to be suitable for solution blending of CA with ?-CD. Nanofibrous webs were continuously produced and foundto be substantially free of defects such as beading, producing fibres with the average diameters of 773±50 nm in therange: 250–1.5?m. Colorimetry was used to show the entrapment of ?-CD in the CA structure. The encapsulationefficiency of ?-CD in the fibre structures was typically 85%. FTIR of the electrospun nanofibres examining thefingerprint region of CA indicating no structural changes in the CA during processing. Our results show thatelectrospun CA fibres embedded with ?-CD molecules demonstrate enhanced direct adsorption of model odourmaterial hexanal (up to 80%) indicating feasibility for use in filtration.

History

School affiliated with

  • School of Engineering (Research Outputs)

Publication Title

Reactive and Functional Polymers

Volume

134

Pages/Article Number

121-132

Publisher

Elsevier

ISSN

1381-5148

Date Submitted

2019-01-14

Date Accepted

2018-11-21

Date of First Publication

2018-11-22

Date of Final Publication

2019-01-31

Date Document First Uploaded

2018-11-15

ePrints ID

34217

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    University of Lincoln (Research Outputs)

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