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Spectrophotometric Determination of Phycobiliprotein Content in Cyanobacterium Synechocystis
Published on: September 11, 2018
Improvisation of a spectrophotometric method to quantify hydroxycitric acid.
1Department of Biological Sciences, P D Patel Institute of Applied Sciences, Charotar University of Science and Technology, CHARUSAT Campus, Changa, 388 421, Dist. Anand, Gujarat, India.
This study enhances a spectrophotometric method for quantifying hydroxycitric acid (HCA) by improving complex stability and linearity. The optimized method is accurate, sensitive, and suitable for high-throughput screening of HCA-producing microbes.
Area of Science:
- Analytical Chemistry
- Biochemistry
Background:
- The existing spectrophotometric method for hydroxycitric acid (HCA) quantification is limited by the poor stability of the HCA-metavanadate complex.
- Hydroxycitric acid (HCA) is a valuable compound, and efficient methods for its quantification are needed, particularly for screening microbial producers.
Purpose of the Study:
- To improve the stability and reliability of the spectrophotometric method for HCA quantification.
- To adapt the method for high-throughput screening of microorganisms that produce HCA.
Main Methods:
- The HCA-metavanadate assay system was modified by adding 1 M NaOH to neutralize acidity, enhancing complex stability.
- The Beer-Lambert law was validated for the modified assay within a concentration range of 33–677 μg/ml, with a coefficient of determination (R² = 0.998).
- Interference from tartrate was addressed by establishing a correction factor.
Main Results:
- The modified HCA-metavanadate complex exhibited enhanced stability, retaining up to 70% absorbance after 60 minutes.
- The optimized method demonstrated a linear calibration curve and was suitable for high-throughput screening.
- HCA levels measured in bacterial culture supernatant using the proposed method closely matched those determined by HPLC.
Conclusions:
- The revised spectrophotometric procedure offers a convenient, sensitive, accurate, and high-throughput method for primary screening of HCA-producing microbes.
- This optimized method provides an efficient way to identify microbial sources of optically pure hydroxycitric acid.
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