Digitalised prediction of blue pigment content from Spirulina platensis: next-generation microalgae bio-molecule detection
The motive of this study is to predict the concentration of C-phycocyanin (CPC) from Spirulina platensis by adapting several colour models along with machine learning (ML) and deep learning (DL) techniques. Initially, three different culture mediums such as Zarrouk, BG-11, and AF6 were compared, and...
Saved in:
Main Authors: | Chong, Roy Jun Wei, Khoo, Kuan Shiong, Chew, Kit Wayne, Ting, Huong-Yong, Iwamoto, Koji, Show, Pau Loke |
---|---|
Other Authors: | School of Chemistry, Chemical Engineering and Biotechnology |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/180806 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
The effects of culture conditions on the biomass and protein yield of spirulina
by: ELVIS, CHUA
Published: (2014) -
NGHIÊN CỨU SỰ SINH TRƯỞNG - PHÁT TRIỂN CỦA SPIRULINA PLATENSIS TRÊN GIÁ THỂ BACTERRIAL CELLULOSE
by: Nguyễn, Thế Hưng
Published: (2016) -
Dietary spirulina (Spirulina platensis (Gomont) Geitler, 1925) replacement enhances performance of pond- and tank-reared juvenile nile tilapia (Oreochromis niloticus Linnaeus, 1758)
by: STEPHANIE, VELASQUEZ
Published: (2015) -
Water quality control in shrimp culture by integrated culture with the microalga, Spirulina platensis
by: Benjamas Chuntapa
Published: (2006) -
Enhancing phagocytic activity of hemocytes and disease resistance in the prawn Penaeus merguiensis by feeding Spirulina platensis
by: Lee, Y.-K., et al.
Published: (2012)