Biomass and Total Lipid Content Assessment of Microalgal Cultures Using Near and Short Wave Infrared Spectroscopy
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Off-line NIR composition measurements comprise lipids, carbohydrates, proteins, total Kjeldahl nitrogen (TKN), and in some cases nucleic acid, chlorophyll, ash content, and structural differences in microalgae, which can benefit on-line/in-line NIR development.
“Off-line NIR composition measurements comprise of lipids, carbohydrates, proteins, total Kjeldahl nitrogen (TKN), and some cases nucleic acid, chlorophyll, ash content (Fig. 3), and structural differences in microalgae [70] which can benefit on-line/in-line NIR development.”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [70]
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References 32 · Cited by 16
- Authors
- Challagulla, V., Walsh, K. B., & Subedi, P.
- Affiliations
- Central Queensland University (AU)
- Corresponding author
- Challagulla, Vineela
- Venue
- BioEnergy Research
- Published
- 2013-09-12
- Volume
- 7
- Issue
- 1
- Pages
- 306-318
- ISSN
- 1939-1234 (ISSN-L)
- 1939-1242
- OpenAlex
- W2040312435
- Cited by
- 16
- References
- 32
- Citations by year
- 2025: 3 · 2024: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 4
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- BioEnergy Research (publishedVersion)
- Acquire (CQUniversity) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- microalgae, near-infrared spectroscopy, short-wave infrared spectroscopy, microalgal biomass, lipid content, biodiesel feedstock, partial least squares regression, nutrient limitation, model robustness
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