Characterization of hydrogen production by Platymonas Subcordiformis in torus photobioreactor

Ji, Chaofan; Legrand, Jack; Pruvost, Jérémy; Chen, Zhaoan; Zhang, Wei

doi:10.1016/j.ijhydene.2010.02.085

Cited by 37 publications

(34 citation statements)

References 20 publications

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“…Thus, depending on the Re m values, the hydrodynamic in the torus reactor can be characterized by three different flow regimes: a laminar regime for mixing Reynolds numbers below 10 4 , a turbulent regime for Re m > 1. 5 10 4 , and a transient regime from laminar behavior to turbulent behavior for the mixing Reynolds number range of 10 4 -1.510 4 , where this ratio depends on the Reynolds number. CFD results for the power number were also compared with the experimental data of Tanaka et al [10] at Re m >1 × 10 4 .…”

Section: Characterization Of the Flow In The Torus Reactormentioning

confidence: 98%

“…It is particularly well-suited for processes that demand rapid and uniform distribution of the reaction components, e.g., polymerization [1], and multiphase systems that require high mass and heat transfer, e.g., enzymatic and photobiological reactions [2][3][4]. The combination of the swirl flow generated by the impeller rotation with Dean vortices that appear when an axial flow occurs in the bends efficiently mixes the reactants, produces intense dispersing effects and leads to an absence of dead volumes in the reactor [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Numerical Investigation of Mixing Time in a Torus Reactor

Bekrentchir¹,

Dellal²

2016

Period. Polytech. Chem. Eng.

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In this work, the mixing performance in a batch torus reactor was investigated using computational fluid dynamics (CFD) IntroductionTorus reactor has emerged as one of the most promising devices in chemical, biochemical and environmental engineering operations. It is particularly well-suited for processes that demand rapid and uniform distribution of the reaction components, e.g., polymerization [1], and multiphase systems that require high mass and heat transfer, e.g., enzymatic and photobiological reactions [2][3][4]. The combination of the swirl flow generated by the impeller rotation with Dean vortices that appear when an axial flow occurs in the bends efficiently mixes the reactants, produces intense dispersing effects and leads to an absence of dead volumes in the reactor [5,6]. Furthermore, the loop configuration involves a low-pressure drop, which reduces power consumption for a given mixing operation [7].Sato et al. [8] were the first to study the flow pattern in the torus reactor. They developed an empirical correlation based on a simple discharge flow model to predict the mean bulk velocity as a function of the type of the impeller, blade angle, impeller diameter, impeller speed and baffle. This model indicates that the resulting flow is mainly a function of the impeller speed and the sine of the impeller blade angle. Murakami et al. [9] predicted the effect of the reactor geometry, baffles, impeller type, blade angle, impeller diameter, impeller speed and operating mode on the power consumption. They found that the power number is proportional to (sin φ) 2 in the region of high mixing Reynolds number (Re > 10 4 ); where φ is the impeller blade angle and almost independent of the baffles and operation mode. Tanaka et al. [10] used the ratio of the circulation Reynolds number to the mixing Reynolds number to explore the effect of the reactor diameter, impeller diameter, impeller speed and fluid properties on the mean bulk velocity. They also developed a new correlation relate the power consumption in the torus reactor to the impeller speed and geometrical characteristics of the reactor and the impeller. Other researchers investigated the hydrodynamic characteristics of the torus reactor using residence time distribution (RTD) technique. Belleville et al. [11] employed the axial dispersed plug flow with complete circulation to model the batch torus reactor and proposed a new correlation for the dimensionless mixing

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Section: Characterization Of the Flow In The Torus Reactormentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Mixing Time in a Torus Reactor

Bekrentchir¹,

Dellal²

2016

Period. Polytech. Chem. Eng.

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“…As an agent accelerating the deactivation reactions of water-splitting enzyme system Y (ADRY agent), CCCP could rapidly inhibit photosystem II (PSII) activity of T. subcordiformis cells [11,12]. The main feature of photohydrogen production kinetics in CCCP-treated T. subcordiformis is the existence of two peaks [13]. As is compared in Table 1, this feature and the implied hydrogen mechanism is quite different from that in C. reinhardtii [14].…”

Section: Introductionmentioning

confidence: 99%

Investigating Cellular Responses During Photohydrogen Production by the Marine Microalga Tetraselmis subcordiformis by Quantitative Proteome Analysis

Cao

Liu

et al. 2015

Appl Biochem Biotechnol

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The marine microalga Tetraselmis subcordiformis could photoproduce hydrogen under the regulation of carbonyl cyanide m-chlorophenylhydrazone (CCCP), and a hydrogen production process kinetic analysis was characterized by two peaks, suggesting that two distinct mechanisms might exist in this alga. Therefore, 2D nanoliquid chromatography-tandem mass spectrometry (LC-MS/MS) was introduced to analyze the proteome of samples from different time points. A total of 912 proteins were identified, providing a global view of the cellular responses at the proteomic level. These proteins can be divided into multiple functional groups including stress responses, energy metabolism and redox homeostasis. The quantitative proteomic data provided more details on the electron donors for hydrogen production. During the first stage, photosystem II produced electrons for hydrogen production; during the second stage, metabolites were the major electron donors via nonphotochemical plastoquinone reduction by NADH dehydrogenase.

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“…Current studies on photo-biological production of hydrogen by marine green alga were mainly focused on Tetraselmis genus [3][4][5][6][7][8], and only a few were related to Chlorella genus [7].…”

Section: Introductionmentioning

confidence: 99%

“…The process was not only related to the hydrogenase activity directly, but also dependent on various factors such as strain type, temperature, nutrient composition, pH, and light intensity etc [2][3][4][5]11]. In addition, it was reported that it was affected strongly by cell density [8].…”

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confidence: 99%

Comparison and Analysis of Hydrogen Production Capacity of 8 Strains of Marine Green Algae

Miao

Zuo

Liu

et al. 2012

AMR

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Abstract. In this study, four strains of Chlorella genus and four strains of Tetraselmis genus were investigated to research their in vitro hydrogenase activities and hydrogen productions. C.sp.-3 showed the second highest in vitro hydrogenase activity with 297.48 nmol H 2 /(µg Chla h) and the highest volume of H 2 production with 10.246 µl/L among all the strains. Although T. sp.-3 exhibited a much low H 2 production of 0.298 µl/L, its in vitro hydrogenase activity was the highest with 315.92 nmol H 2 /(µg Chla h). During the continuous culture of five weeks, the hydrogen production of C. sp.-3 reached the peak at 3rd weeks with 12.46 µl H 2 per liter culture, and decreased subsequently. In contrast, that of T. sp.-3 increased slowly and gradually with the culturing time, and was much lower than that of C. sp.-3 at each culture phases. These results showed that hydrogen production was a complex process that was determined not only by strain types but also by other factors, and that both C.sp.-3 and T. sp.-3 in the 8 strains were the most promising ones in hydrogen production and were worthy of further research.

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Characterization of hydrogen production by Platymonas Subcordiformis in torus photobioreactor

Cited by 37 publications

References 20 publications

Numerical Investigation of Mixing Time in a Torus Reactor

Numerical Investigation of Mixing Time in a Torus Reactor

Investigating Cellular Responses During Photohydrogen Production by the Marine Microalga Tetraselmis subcordiformis by Quantitative Proteome Analysis

Comparison and Analysis of Hydrogen Production Capacity of 8 Strains of Marine Green Algae

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