Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3174
Title: Correlating black soldier fly larvae growths with soluble nutrients derived from thermally pre-treated waste activated sludge
Authors: Liew, Chin Seng 
Mong, Guo Ren 
Abdelfattah, Eman A. 
Raksasat, Ratchaprapa 
Rawindran, Hemamalini 
Kiatkittipong, Worapon 
Mohamad M. 
Ramli, Anita 
Yunus, Normawati M. 
Lam, Man Kee 
Da Oh, Wen 
Lim, Jun Wei 
Keywords: Black soldier fly larvae;BSFL growth;Modeling;Soluble chemical oxygen demand;Thermal pre-treatment;Waste activated sludge
Issue Date: Jul-2022
Publisher: Academic Press Inc.
Journal: Environmental Research 
Abstract: 
Black soldier fly larvae (BSFL) have been deployed to valorize various organic wastes. Nonetheless, its growth rate whilst being offered with waste activated sludge (WAS) is not promising, likely by virtue of the presence of extracellular polymeric substances’ structure in WAS. In this work, the WAS were first thermally pre-treated under different treatment temperatures and durations before being administered as the feeding substrates for BSFL. The results showed the thermal pre-treatment could improve WAS palatability and subsequently, enhance the growth of BSFL especially after the pre-treatments at 75 °C and above. The highest larva weight gained was recorded at 2.16 mg/larva for the WAS sample being pre-treated at 90 °C and 16 h. Furthermore, the samples pre-treated above 75 °C also achieved higher degradation rates, indicating that the 75 °C was a threshold temperature to effectively hydrolyze the WAS. The changes of WAS characteristics, namely, (i) soluble chemical oxygen demand (SCOD), (ii) soluble carbohydrate, (iii) soluble protein, (iv) humic substances and (v) total soluble protein and humic substances, after the thermal pre-treatments were also studied in correlating with the BSFL growth. Accordingly, a model was successfully developed with the highest R2 value attained at 0.95, evidencing the SCOD was the most suitable WAS characteristic to accurately predict the BSFL growth behavior.
Description: 
Web of Science / Scopus
URI: http://hdl.handle.net/123456789/3174
ISSN: 00139351
DOI: 10.1016/j.envres.2022.112923
Appears in Collections:Faculty of Bioengineering and Technology - Journal (Scopus/WOS)

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