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Sananurak, Chatchadaporn; Lirdwitayaprasit, Thaithaworn; Menasveta, Piamsak

doi:10.2306/scienceasia1513-1874.2009.35.118

Cited by 14 publications

(2 citation statements)

References 16 publications

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“…For instance, Laing in [7] proposed a 40 liter continuous system that aims to maintain biomass concentration in culturing flagellates. Another continuous cultivation system was designed and built by Sananurak et al in [8] to produce two types of microalgae, Tetraselmis suecica and Brachionus plicatilis , for larval fish. By exploiting solid-state materials, Naumann et al developed a twin-layer continuous photobioreactor [9] for cultivating four strains of microalgae including Isochrysis sp.…”

Section: Hardware In Contextmentioning

confidence: 99%

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

HardwareX

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Section: Hardware In Contextmentioning

confidence: 99%

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

HardwareX

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“…For example, a 40 liter closed system for culturing flagellates to concentrate the microalgal biomass was proposed in [9]. Two types of microalgae for larval fish, Tetraselmis suecica and Brachionus plicatilis, can be continuously cultivated in a customized cultivation system designed and built by Sananurak et al in [10]. Naumann et al developed a twin-layer solid-state bioreactor [11] for growing four types of microalgae, such as Isochrysis sp.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features

Nguyen

et al. 2023

Sensors

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Monitoring and estimating the density of microalgae in a closed cultivation system is a critical task in culturing algae since it allows growers to optimally control both nutrients and cultivating conditions. Among the estimation techniques proposed so far, image-based methods, which are less invasive, nondestructive, and more biosecure, are practically preferred. Nevertheless, the premise behind most of those approaches is simply averaging the pixel values of images as inputs of a regression model to predict density values, which may not provide rich information of the microalgae presenting in the images. In this work, we propose to exploit more advanced texture features extracted from captured images, including confidence intervals of means of pixel values, powers of spatial frequencies presenting in images, and entropies accounting for pixel distribution. These diverse features can provide more information of microalgae, which can lead to more accurate estimation results. More importantly, we propose to use the texture features as inputs of a data-driven model based on L1 regularization, called least absolute shrinkage and selection operator (LASSO), where their coefficients are optimized in a manner that prioritizes more informative features. The LASSO model was then employed to efficiently estimate the density of microalgae presenting in a new image. The proposed approach was validated in real-world experiments monitoring the Chlorella vulgaris microalgae strain, where the obtained results demonstrate its outperformance compared with other methods. More specifically, the average error in the estimation obtained by the proposed approach is 1.54, whereas those obtained by the Gaussian process and gray-scale-based methods are 2.16 and 3.68, respectively

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Photoautotrophic cultivation of Chlorococcum humicola in stirred tank and airlift photobioreactors under different light settings and light supplying strategies for biomass and carotenoid production

Powtongsook

Nootong

2019

J of Chemical Tech & Biotech

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BACKGROUND Light quality influences biomass and carotenoid production in microalgae, yet no information is available for Chlorococcum humicola. This work performed a series of batch cultivations of Chlorococcum humicola to assess biomass and carotenoid production in stirred tank and airlift photobioreactors under different light qualities and supplying strategies. RESULTS White light was preferred for growth while blue light was suitable for carotenoid production during stationary phase. Batch cultivation in stirred tank photobioreactors subjected to two‐staged lighting yielded higher carotenoid productivity than single‐staged lighting, with the highest productivity obtained when providing white light at 5000 lx during growth phase and combination of white (100 000 lx) and blue (5000 lx) lights during stationary phase. Subsequent cultivation in internal‐loop airlift photobioreactors under optimal light setting based on two‐staged study produced higher biomass (855 ± 26 mg L−1) and carotenoid (8.11 ± 0.20 mg L−1 or 9.23 ± 0.23 mg g−1) than the cultivation in stirred tank systems with the same volume and operating condition. High‐performance liquid chromatography (HPLC) analysis of carotenoid from airlift photobioreactors revealed that lutein, violaxanthin and neoxanthin were major carotenoids. CONCLUSIONS This work reported for the first time the effect of light quality and supplying strategy on growth and carotenoid production in Chlorococcum humicola. Two‐staged lighting with white light following by combination of white light at high intensity and blue light offered new strategy to improve carotenoid productivity. Cultivation in airlift photobioreactor yielded higher biomass than the cultivation in stirred tank photobioreactors and offered an alternative for future photobioreactor selection. © 2019 Society of Chemical Industry

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Cited by 14 publications

References 16 publications

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features

Photoautotrophic cultivation of Chlorococcum humicola in stirred tank and airlift photobioreactors under different light settings and light supplying strategies for biomass and carotenoid production

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