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Improving the Efficiency of New Automatic Dishwashing Detergent Formulation by Addition of Thermostable Lipase, Protease and Amylase

Overview of attention for article published in Molecules, September 2017
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Title
Improving the Efficiency of New Automatic Dishwashing Detergent Formulation by Addition of Thermostable Lipase, Protease and Amylase
Published in
Molecules, September 2017
DOI 10.3390/molecules22091577
Pubmed ID
Authors

Ashwini Naganthran, Malihe Masomian, Raja Noor Zaliha Raja Abd. Rahman, Mohd Shukuri Mohamad Ali, Hisham Mohd Nooh

Abstract

The use of T1 lipase in automatic dishwashing detergent (ADD) is well established, but efficiency in hard water is very low. A new enzymatic environmentally-friendly dishwashing was formulated to be efficient in both soft and hard water. Thermostable enzymes such as T1 lipase from Geobacillus strain T1, Rand protease from Bacillussubtilis strain Rand, and Maltogenic amylase from Geobacillus sp. SK70 were produced and evaluated for an automatic dishwashing detergent formulation. The components of the new ADD were optimized for compatibility with these three enzymes. In compatibility tests of the enzymes with different components, several criteria were considered. The enzymes were mostly stable in non-ionic surfactants, especially polyhydric alcohols, Glucopon UP 600, and in a mixture of sodium carbonate and glycine (30:70) buffer at a pH of 9.25. Sodium polyacrylate and sodium citrate were used in the ADD formulation as a dispersing agent and a builder, respectively. Dishwashing performance of the formulated ADDs was evaluated in terms of percent of soil removed using the Leenert's Improved Detergency Tester. The results showed that the combination of different hydrolysis enzymes could improve the washing efficiency of formulated ADD compared to the commercial ADD "Finish" at 40 and 50 C.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 16%
Student > Ph. D. Student 7 7%
Student > Master 6 6%
Other 5 5%
Researcher 5 5%
Other 11 11%
Unknown 48 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 13%
Chemical Engineering 6 6%
Chemistry 5 5%
Agricultural and Biological Sciences 5 5%
Engineering 5 5%
Other 9 9%
Unknown 55 56%