Microalgal detection by Raman microspectroscopy

Wei, Xuan; Jie, Dengfei; Cuello, Joel L.; Johnson, Daniel J.; Qiu, Zhengjun; He, Yong

doi:10.1016/j.trac.2013.09.012

Cited by 34 publications

(31 citation statements)

References 57 publications

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“…55,56 Raman spectra of pristine PSU-NFW (Figure 3a) and microalgae/PSU-NFW (Figure 3b) with main Raman shifts and assignments of the Raman bands are given in Figure 3. Moreover, the insets show the microscope image of pristine PSU-NFW and microalgae/ PSU-NFW, respectively.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Microalgae Immobilized by Nanofibrous Web for Removal of Reactive Dyes from Wastewater

Keskin

Çelebioğlu²,

Uyar³

et al. 2015

Ind. Eng. Chem. Res.

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In this study, we have developed microalgae immobilized by polysulfone nanofibrous web (microalgae/PSU-NFW) for the removal of reactive dyes (Remazol Black 5 (RB5) and Reactive Blue 221 (RB221). Here, an electrospinning technique was used to produce polysulfone nanofibrous web (PSU-NFW) as a free-standing material on which microalgae Chlamydomona reinhardtii was immobilized on PSU-NFW. The decolorization capacities of microalgae/PSU-NFW were significantly higher than that of pristine PSU-NFW. The decolorization rate for RB5 was calculated as 72.97 ± 0.3% for microalgae/PSU-NFW, whereas it was 12.36 ± 0.3% for the pristine PSU-NFW. In the case of RB221 solution, decolorization rates were achieved as 30.2 ± 0.23 and 5.51 ± 0.4% for microalgae/PSU-NFW and pristine PSU-NFW, respectively. Reusability tests revealed that microalgae/PSU-NFW can be used in at least three successive decolorization steps in which the decolorization rate of the RB5 was found to be 51 ± 0.69% after the third reuse step. These results are promising and therefore suggest that microalgae/PSU-NFW could be applicable for the decolorization of dyes because of their versatility and reusability.

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Section: ■ Results and Discussionmentioning

confidence: 99%

Microalgae Immobilized by Nanofibrous Web for Removal of Reactive Dyes from Wastewater

Keskin

Çelebioğlu²,

Uyar³

et al. 2015

Ind. Eng. Chem. Res.

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“…Raman spectroscopy is based on the inelastic scattering of monochromatic light produced by a laser in the visible, NIR or UV range [135]. Raman spectroscopy is a valuable tool for in vivo lipid biomonitoring; however, it can also generate broad spectra for the identification of lipids, proteins, carbohydrates, nucleic acids, and pigments [136].…”

Section: Raman Spectroscopymentioning

confidence: 99%

Lipids detection and quantification in oleaginous microorganisms: an overview of the current state of the art

2019

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Oleaginous microorganisms are among the most promising feedstocks for the production of lipids for biofuels and oleochemicals. Lipids are synthesized in intracellular compartments in the form of lipid droplets. Therefore, their qualitative and quantitative analysis requires an initial pretreatment step that allows their extraction. Lipid extraction techniques vary with the type of microorganism but, in general, the presence of an outer membrane or cell wall limits their recovery. This review discusses the various types of oleaginous microorganisms, their lipid accumulating capabilities, lipid extraction techniques, and the pretreatment of cellular biomass for enhanced lipid recovery. Conventional methods for lipid quantification include gravimetric and chromatographic approaches; whereas nonconventional methods are based on infrared, Raman, nuclear magnetic resonance, and fluorescence spectroscopic analysis. Recent advances in these methods, their limitations, and fields of application are discussed, with the aim of providing a guide for selecting the best method or combination of methods for lipid quantification.

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“…So far, most applications of Raman scattering concerning microalgae are in microspectroscopy, where single living cells are analyzed for pigments, proteins, and lipids using Raman microscopic systems [8,217]. The high spatial resolution of Raman scattering allows the study of the distribution of lipid bodies in the cell and their beta-carotene content [218][219][220] and estimation of the lipid body volume in the cell by the amount of beta-carotene [221].…”

Section: Raman Spectroscopymentioning

confidence: 99%

Monitoring of Microalgal Processes

Havlík

Scheper

Reardon

2015

Microalgae Biotechnology

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Process monitoring, which can be defined as the measurement of process variables with the smallest possible delay, is combined with process models to form the basis for successful process control. Minimizing the measurement delay leads inevitably to employing online, in situ sensors where possible, preferably using noninvasive measurement methods with stable, low-cost sensors. Microalgal processes have similarities to traditional bioprocesses but also have unique monitoring requirements. In general, variables to be monitored in microalgal processes can be categorized as physical, chemical, and biological, and they are measured in gaseous, liquid, and solid (biological) phases. Physical and chemical process variables can be usually monitored online using standard industrial sensors. The monitoring of biological process variables, however, relies mostly on sensors developed and validated using laboratory-scale systems or uses offline methods because of difficulties in developing suitable online sensors. Here, we review current technologies for online, in situ monitoring of all types of process parameters of microalgal cultivations, with a focus on monitoring of biological parameters. We discuss newly introduced methods for measuring biological parameters that could be possibly adapted for routine online use, should be preferably noninvasive, and are based on approaches that have been proven in other bioprocesses. New sensor types for measuring physicochemical parameters using optical methods or ion-specific field effect transistor (ISFET) sensors are also discussed. Reviewed methods with online implementation or online potential include measurement of irradiance, biomass concentration by optical density and image analysis, cell count, chlorophyll fluorescence, growth rate, lipid concentration by infrared spectrophotometry, dielectric scattering, and nuclear magnetic resonance. Future perspectives are discussed, especially in the field of image analysis using in situ microscopy, infrared spectrophotometry, and software sensor systems.

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Microalgal detection by Raman microspectroscopy

Cited by 34 publications

References 57 publications

Microalgae Immobilized by Nanofibrous Web for Removal of Reactive Dyes from Wastewater

Microalgae Immobilized by Nanofibrous Web for Removal of Reactive Dyes from Wastewater

Lipids detection and quantification in oleaginous microorganisms: an overview of the current state of the art

Monitoring of Microalgal Processes

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