ECOLOGICAL ENGINEERING OF MICROALGAE FOR ENHANCED ENERGY PRODUCTION
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2017.08.1.03Keywords:
Biomass, Chlorella vulgaris, Growth, Lipids, Microalgae, pH, Salinity.Dimensions Badge
Issue
Section
License
Copyright (c) 2017 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Microalgae are considered as potential source of renewable energy generation. Algal biomass is used as key feedstock for renewable energy generation using algal resources. Accumulation of biomass mostly depends on the growth rate, which is usually regulated by pH and salinity. Present study was conducted to study the effect of variation in pH and saline rangeson growth, biomass and lipid content of a freshwater microalga Chlorella vulgaris. The growth, biomass and lipid content showed a significantAbstract
difference due to the variation in pH and saline range. The growth and lipid content was maximum at pH 7.0 with compared to 6, 8 and 9. On the other hand an increase of salinity from 0.1M to 0.25 M caused decreased growth rate, whereas the lipid content showed an increasing trend.
How to Cite
Downloads
Similar Articles
- Jayshree Mehta, Pranjal Bhatt, Vikas Raval, Skill development in India: Challenges, current, and future perspectives , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Nitika, Kuldeep Chaudhary, A critical review of social media advertising literature: Visualization and bibliometric approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- J. Pavithra, Status of investment in startup in India – An analysis , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Brijesh Pathak, Effects of Uranium on Growth Performance in Vigna unguiculata (L.) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Arvind K Shukla, Balaji V, Dharani R, M Ananthi, R Padmavathy, Romala V. Srinivas, Precision agriculture predictive modeling and sensor analysis for enhanced crop monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Priya Tiwari, Bharat Kasar, Vibhu Tripathi, Decoding Investor’s behavior in tax saving mutual fund: A multi-item scale for evaluating investors’ category , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Tewoderos Legesse, Bekelech Sharew, Evaluation of white seeded sesame (Sesamum indicium L.) genotypes on growth and yield performance in Menit Goldya Woreda of West Omo Zone, SWE , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Dattatraya Pandurang Rane, Amey Adinath Choudhari, Rita Kakade, Technology-driven financial inclusion: Opportunities for corporate expansion in emerging markets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Maj Neerja Masih, E.S. Charles, Study of Rhodotorula glutinis growth and lipid production using low cost substrates , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER
- Dhulasi Priya S, Saranya K G, Significance of artificial intelligence in the development of sustainable transportation , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

