Prediction of Mold Spoilage for SoyPolyethylene Composite Fibers

Joint Authors

Naphade, Chinmay
Han, Inyee
Lukubira, Sam
Ogale, Amod
Rieck, James
Dawson, Paul

Source

International Journal of Polymer Science

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-11-01

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

Mold spoilage was determined over 109 days on soy/PE fibers held under controlled temperatures (T) ranging from 10°C to 40°C and water activities ( a w ) from 0.11 to 0.98.

Water activities were created in sealed containers using saturated salt solutions and placed in temperature-controlled incubators.

Soy/PE fibers that were held at 0.823 a w or higher exhibited mold growth at all temperatures.

As postulated, increased water activity (greater than 0.89) and temperature (higher than 25°C) accelerated mold growth on soy/PE fibers.

A slower mold growth was observed on soy/PE fibers that were held at 0.87 a w and 10°C.

A Weibull model was employed to fit the observed logarithmic values of T , a w , and an interaction term log T × log a w and was chosen as the final model as it gave the best fit to the raw mold growth data.

These growth models predict the expected mold-free storage period of soy/PE fibers when exposed to various environmental temperatures and humidities.

American Psychological Association (APA)

Naphade, Chinmay& Han, Inyee& Lukubira, Sam& Ogale, Amod& Rieck, James& Dawson, Paul. 2015. Prediction of Mold Spoilage for SoyPolyethylene Composite Fibers. International Journal of Polymer Science،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1066723

Modern Language Association (MLA)

Naphade, Chinmay…[et al.]. Prediction of Mold Spoilage for SoyPolyethylene Composite Fibers. International Journal of Polymer Science No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1066723

American Medical Association (AMA)

Naphade, Chinmay& Han, Inyee& Lukubira, Sam& Ogale, Amod& Rieck, James& Dawson, Paul. Prediction of Mold Spoilage for SoyPolyethylene Composite Fibers. International Journal of Polymer Science. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1066723

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1066723