Phunpruch, Saranya

Preferred name

Phunpruch, Saranya

Alternative Name

Phunpruch, S.

Main Affiliation

School of Science

saranya.ph@kmitl.ac.th

Now showing 1 - 4 of 4

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Effect of pH on Biohydrogen Production in Green Alga Tetraspora sp. CU2551
(2017-01-01)
Maneeruttanarungroj, Cherdsak
;
Phunpruch, Saranya
The green alga Tetraspora sp. CU2551 has previously been identified as a hydrogen producing organism. With the promising potential in a high H<inf>2</inf> production yield, we further studied the enhancement of the H<inf>2</inf> production capacity by a substrate-level control to the key enzyme, Hydrogenase. This enzyme catalyzes the formation of biohydrogen gas from protons and electrons. Here, we investigated the effect of pH on the production rate which directly affected the flow of proton flux to the hydrogenase enzyme. The result revealed that pH of culture TAP medium was simply controlled by the use of HCl/NaOH solution over the pH range of 6.5 - 9.0 without any effect on the growth of algal cells. The H<inf>2</inf> production was observed in all ranges of our focusing pH with comparable to the control condition (pH 7.0 of TAP medium). In our best condition, an increase of the H<inf>2</inf> yield about 24% was found in cells cultivated in TAP medium adjusted the pH to 6.5 compared to the control condition. Our finding confirms the successful biohydrogen production enhancement by a substrate-level control for the key hydrogenase enzyme.
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Effect of Metal Cofactors of Key Enzymes on Biohydrogen Production by Nitrogen Fixing Cyanobacterium Anabaena siamensis TISIR 8012
(2017-01-01)
Taikhao, Samart
;
Phunpruch, Saranya
In N<inf>2</inf>-fixing cyanobacteria, three enzymes are involved in the H<inf>2</inf> metabolism. Nitrogenase catalyzes the N<inf>2</inf> fixation which produces H<inf>2</inf> as a by-product. The produced H<inf>2</inf> is taken up to protons and electrons by an activity of uptake hydrogenase. Reversible enzyme catalyzes both reactions of the H<inf>2</inf> evolution and the H<inf>2</inf> uptake. These enzymes are all metalloenzyme. The cyanobacterial nitrogenase normally requires molybdenum and iron as cofactors; however nitrogenase of few cyanobacterial species is dependent on vanadium. The cyanobacterial uptake and reversible hydrogenase requires nickel and iron as cofactors. This research aimed to investigate the effect of these metal cofactors on H<inf>2</inf> production and hydrogenase activity by N<inf>2</inf>-fixing cyanobacterium Anabaena siamensis TISTR 8012 isolated from rice paddle field in Thailand. The result showed that A. siamensis cells incubated in N-deprived BG11 medium (BG11<inf>0</inf>) gave clearly higher H<inf>2</inf> production rate and hydrogenase activity than those in normal BG11 medium. Under nitrogen deprivation, an increase of iron, nickel, and molybdenum concentrations obviously enhanced H<inf>2</inf> production rate. But only higher iron concentrations increased hydrogenase activity, indicating that the iron metal assisted in the function of reversible hydrogenase activity. In addition, vanadium seemed not to be a metal cofactor of key enzymes involving in H<inf>2</inf> production in A. siamensis. The optimal concentrations of iron, nickel and molybdenum ions for H<inf>2</inf> production rate by A. siamensis were 60 μM, 4 μM and 4 μM, respectively. The highest H<inf>2</inf> production rate of 0.057 μmolH<inf>2</inf> mg chl a-1 h-1 was observed in cells incubated in BG11<inf>0</inf> medium supplemented with 4 μM nickel ion.
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Digital holography with deep learning for algae identification and classification
(2024-01-01)
Ruttanasirawit, Chinnaphat
;
Plaipichit, Suwan
;
Thongsuwan, Setthanun
;
Thonglim, Pachara
;
Phunpruch, Saranya
Recently, the characterization of marine objects, populations and biophysical interactions have become crucial within the research community. In this study, we leverage digital holographic imaging systems and deep learning networks to classify three distinct types of micro-algae: Chlamydomonas, Scenedesmus armatus, and Scenedesmus_sp-L. We employed reconstructed digital holographic images and deep learning to identify the results from both approaches. The integration of holographic imaging holds promises in replacing expensive characterization systems like AFM, x-ray diffraction, and Raman spectroscopy, offering a more costeffective solution. In our system, we utilize in-line microscopic digital holographic imaging to record and reconstruct images of the algae specimens. An essential advantage of holographic techniques is that they do not require intact samples of the specimens for effective object identification. To further enhance the process, we combined deep learning algorithms with holographic imaging, capitalizing on the advanced computers. This combination enables highly effective characterizing and classification of different types of algae. These innovative approaches pave the way for exciting advancement in marine research and monitoring.
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Increasing Hydrogen Production Efficiency of N2-Fixing Cyanobacterium Anabaena siamensis TISTR 8012 by Cell Immobilization
(2017-01-01)
Taikhao, Samart
;
Phunpruch, Saranya
H<inf>2</inf> produced by cyanobacteria is one of the interesting alternative energy carriers for the future. The filamentous N<inf>2</inf>-fixing cyanobacterium Anabaena siamensis TISTR 8012 is a potential microorganism for H<inf>2</inf> production. It can produce H<inf>2</inf> via both photosynthesis and nitrogen fixation processes. This study aimed to increase the efficiency of H<inf>2</inf> production by immobilization of A. siamensis cells. The result showed that H<inf>2</inf> production rate by A. siamensis grown in BG11<inf>0</inf> medium was higher than that in BG11 and Allen-Arnon media due to an increase of the heterocyst cells. The sulfur deprivation during adaptation period for 24 hours increased its H<inf>2</inf> production rate. The optimal conditions for H<inf>2</inf> production by immobilized cells were immobilization with alginate and using 150 gel beads in 20 mL glass vial. In immobilized cells, an addition of 0.5% fructose resulted in a 2-fold increase of H<inf>2</inf> production rate. Finally, the reducing agents β-mercaptoethanol and methylviologen enhanced H<inf>2</inf> production rate with 3.092 and 2.426 μmolH<inf>2</inf> mg chl a-1 h-1, respectively, in A. siamensis immobilized cells whereas NADH, dithiothreitol and sodium dithionite were not capable of increasing H<inf>2</inf> production rate.

Phunpruch, Saranya

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