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Comparison Test of Oily Soil Removal of Japanese Laundry Detergents Using a Regression Formula to Derive Soil Quantity from K/S Value of Colored Oil

  • Yuya Kojima and Masaru Oya
Published/Copyright: February 2, 2015
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Abstract

How to calculate the amount of colored oily soil adhered to fabric by measuring the reflectance was studied. Fatty acid, triacylglycerol and hydrocarbon were selected as typical oily soil and mixed with Sudan IV. Removal of fatty acid was greatly affected by alkaline property of washing liquid, and those of triacylglycerol and hydrocarbon were largely affected by interfacial activity of washing liquid. The detergency of Japanese artificial soiled fabric was largely affected by the fatty acid composition.

Kurzfassung

Es wurde untersucht, wie man die Menge des gefärbten fettigen Schmutzes auf Geweben durch Messung des Reflexionsgrades berechnen kann. Fettsäure, Triglycerid und Kohlenwasserstoff wurden als typische Fettanschmutzungen ausgewählt und mit Sudan-IV gemischt. Die Entfernung von Fettsäure wurde sehr stark von der Alkalität der Waschflotte, die Entfernung von Trigycerid und Kohlenwasserstoff von der Grenzflächenaktivität der Waschflotte beeinflusst. Die Waschkraft auf die künstlich angeschmutzten japanischen Gewebe wurde von der Zusammensetzung der Fettsäure deutlich beeinflusst.


* Correspondence address, Professor Masaru Oya, Graduate School of Environment and Information Studies, Yokohama National University, 79-7, Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa, Japan, Tel.: 81-45-339-3301, E-Mail:

Yuya Kojima was born in 1986. He is a doctoral student at Yokohama National University. He is developing new application system which analyzes image data for evaluating cleaning efficiency.

Masaru Oya, Ph.D. was born in 1957. He is a professor at Department of Risk Management and Environmental Sciences, Graduate School of Environment and Information Sciences, Yokohama National University. His study fields are as follows. (1) development of new cleaning technology relating laundry, dish washing, home cleaning and other industrial cleaning, (2) how to evaluate cleaning efficiency especially using image data and a new kinetic theory, (3) effect of cleaning agents on water environment, (4) analysis of consumer information relating to cleaning field.


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Received: 2014-06-23
Accepted: 2014-09-05
Published Online: 2015-02-02
Published in Print: 2015-01-20

© 2015, Carl Hanser Publisher, Munich

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