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Physical abrasion method using submerged spike balls to remove algal biofilm from photobioreactors

Overview of attention for article published in BMC Research Notes, December 2017
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Title
Physical abrasion method using submerged spike balls to remove algal biofilm from photobioreactors
Published in
BMC Research Notes, December 2017
DOI 10.1186/s13104-017-2995-9
Pubmed ID
Authors

Azra Nawar, Asif Hussain Khoja, Naveed Akbar, Abeera Ayaz Ansari, Muneeb Qayyum, Ehsan Ali

Abstract

A major factor in practical application of photobioreactors (PBR) is the adhesion of algal cells onto their inner walls. Optimized algal growth requires an adequate sunlight for the photosynthesis and cell growth. Limitation in light exposure adversely affects the algal biomass yield. The removal of the biofilm from PBR is a challenging and expansive task. This study was designed to develop an inexpensive technique to prevent adhesion of algal biofilm on tubular PBR to ensure high efficiency of light utilization. Rubber balls with surface projections were introduced into the reactor, to remove the adherent biofilm by physical abrasion technique. The floatation of spike balls created a turbulent flow, thereby inhibiting further biofilm formation. The parameters such as, specific growth rate and doubling time of the algae before introducing the balls were 0.451 day-1 and 1.5 days respectively. Visible biofilm impeding light transmission was formed by 15-20 days. The removal of the biofilm commenced immediately after the introduction of the spike balls with visibly reduced deposits in 3 days. This was also validated by enhance cell count (6.95 × 106 cells mL-1) in the medium. The employment of spike balls in PBR is an environmental friendly and economical method for the removal of biofilm.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 4 14%
Other 3 10%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 7 24%
Readers by discipline Count As %
Engineering 8 28%
Chemical Engineering 4 14%
Agricultural and Biological Sciences 2 7%
Unspecified 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 10%
Unknown 10 34%