2004Unpublished venueRequires access

Research on cotton fabric pretreatment with enzyme-peracetic acid

Yang Yu

Open publisher page 0 citations

Abstract

Compound pectase was used to scour cotton fabric. The factors affecting fabric properties with pectase treatment were discussed. And optimum treated conditions have been found. After scouring the fabric was bleached with peracetic acid. Also the properties of fabric with enzyme-peracetic acid treatment and with conventional process were compared.

About this research paper

What this paper is about

Compound pectase was used to scour cotton fabric. The factors affecting fabric properties with pectase treatment were discussed. And optimum treated conditions have been found. After scouring the fabric was bleached with peracetic acid. Also the properties of fabric with enzyme-peracetic acid treatment and with conventional process were compared.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Compound pectase was used to scour cotton fabric. The factors affecting fabric properties with pectase treatment were discussed. And optimum treated conditions have been found. After scouring the fabric was bleached with peracetic acid. Also the properties of fabric with enzyme-peracetic acid treatment and with conventional process were compared.

Key concepts: Peracetic acid, Pulp and paper industry, Chemistry, Enzyme, Materials science, Biochemistry, Hydrogen peroxide, Engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on cotton fabric pretreatment with enzyme-peracetic acid — Research Paper | ScholarLens