Microalgal fatty acid composition: rapid assessment using near-infrared spectroscopy
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Fluorescence and NIR spectroscopy have been suggested to refine soft sensor algorithms.
“Furthermore, spectroscopic techniques such as fluorescence [107] and NIR spectroscopy [116] have been suggested to refine these soft sensor algorithms.”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [116]
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Advances in techniques for assessment of microalgal lipids
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Self-citation
- Authors
- Challagulla, V., Walsh, K. B., & Subedi, P.
- Affiliations
- Central Queensland University (AU)
- Corresponding author
- Challagulla, Vineela
- Venue
- Journal of Applied Phycology
- Published
- 2015-02-04
- Volume
- 28
- Issue
- 1
- Pages
- 85-94
- ISSN
- 0921-8971 (ISSN-L)
- 1573-5176
- OpenAlex
- W1999677206
- Cited by
- 12
- References
- 28
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 1 · 2021: 1 · 2020: 1 · 2018: 2 · 2017: 2 · 2016: 1
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Journal of Applied Phycology (publishedVersion)
- Acquire (CQUniversity) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Central Queensland University
- 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
- Chlamydomonas, near-infrared spectroscopy, partial least squares regression, biomass estimation, lipid content, phosphorus nutrition, methyl esters, calibration models
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