Application of mid-infrared chemical imaging and multivariate chemometrics analyses to characterise a population of microalgae cells

Tan, Suat-Teng; Balasubramanian, Rajesh Kumar; Das, Probir; Obbard, Jeffrey Philip; Chew, Wee

doi:10.1016/j.biortech.2013.01.060

Cited by 10 publications

(5 citation statements)

References 29 publications

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“…The parts of the IR spectrum that are the most useful for monitoring are the mid-infrared region with fundamental vibrations (MIR; 600-4000 cm −1 ; 17-2.5 µm) and the near-infrared region with harmonics vibrations (NIR; 4000-14,000 cm −1 ; 2500-715 nm) since this is where organic molecules exhibit their specific signatures. Because of the convoluted nature of spectral signals obtained by IR spectroscopy, extensive data processing with multivariate techniques, such as principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least squares analysis (PLS), is necessary to extract meaningful information [179][180][181]. Several compounds can be simultaneously detected by NIR and MIR sensors [182].…”

Section: Ir Spectroscopymentioning

confidence: 99%

“…Information on the lipid-to-protein ratio used for estimation of population characteristics could be extracted by a suite of multivariate chemometrics methods from MIR data I. Havlik et al (1000-4000 cm −1 ) measured with whole Nannochloropsis cells dried with cultivation medium directly on the ATR crystal [181]. Devices to interface MIR spectrometers to chemical and biological process units have already been developed.…”

Section: Ir Spectroscopymentioning

confidence: 99%

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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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Section: Ir Spectroscopymentioning

confidence: 99%

Section: Ir Spectroscopymentioning

confidence: 99%

Monitoring of Microalgal Processes

Havlík

Scheper

Reardon

2015

Microalgae Biotechnology

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“…The neutral lipids content of microalgae is most essential as biofuel feedstock, it is therefore important to quantify the total amount in a selected strain. Energy storage capacity of microalgae is also known to relate directly to the lipids content, with C12 to C18 chain lengths being the key ones [2,71]. Various analytical techniques are being used in this process including chromatography, electrophoresis, mass and molecular spectroscopy [72].…”

Section: Chemometrics In the Production And Processing Of Microalgaementioning

confidence: 99%

“…In a study by Tan et al [71] a novel cell population estimation for microalgae biomass was carried out using an unsupervised leader-follower cluster analysis on Fourier transform infra-red (FTIR) imaging of Nannochloropsis sp. for spectra sieving.…”

Section: Chemometrics In the Production And Processing Of Microalgaementioning

confidence: 99%

Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity

Musa

Ayoko

Ward

et al. 2019

Cells

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Microalgae are swift replicating photosynthetic microorganisms with several applications for food, chemicals, medicine and fuel. Microalgae have been identified to be suitable for biofuels production, due to their high lipid contents. Microalgae-based biofuels have the potential to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. However, the present state of technology does not economically support sustainable large-scale production. The biofuel production process comprises the upstream and downstream processing phases, with several uncertainties involved. This review examines the various production and processing stages, and considers the use of chemometric methods in identifying and understanding relationships from measured study parameters via statistical methods, across microalgae production stages. This approach enables collection of relevant information for system performance assessment. The principal benefit of such analysis is the identification of the key contributing factors, useful for decision makers to improve system design, operation and process economics. Chemometrics proffers options for time saving in data analysis, as well as efficient process optimization, which could be relevant for the continuous growth of the microalgae industry.

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“…The first ones need sample preparation using specific fixators before envisaging adequate labeling dyes while the second ones rely on the spectroscopic capabilities of the endogenous molecules. [21][22][23][24][25][26][27] Among the technics classified as invasive, the most commonly used are the fluorescentbased ones that require dyes like BODIPY. There, the measure is indirect and relies on sample preparation with high constraints in microalgae cases due to the presence of chlorophylls within chloroplasts.…”

Section: Introductionmentioning

confidence: 99%

Revealing Lipid Body Formation and its Subcellular Reorganization in Oleaginous Microalgae Using Correlative Optical Microscopy and Infrared Nanospectroscopy

et al. 2021

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The purpose of this work is to develop an integrated imaging approach to characterize without labeling at the sub-cellular level the formation of lipid body droplets (LBs) in microalgae undergoing nitrogen starvation. First conventional optical microscopy approaches, gas chromatography, and turbidimetry measurements allowed to monitor the biomass and the total lipid content in the oleaginous microalgae Parachlorella kesslerii during the starvation process. Then a local analysis of the LBs was proposed using an innovative infrared nanospectroscopy technique called atomic force microscopy-based infrared spectroscopy (AFM-IR). This label-free technique assessed the formation of LBs and allowed to look into the LB composition thanks to the acquisition of local infrared spectra. Last correlative measurements using fluorescence microscopy and AFM-IR were performed to investigate the subcellular reorganization of LB and the chloroplasts.

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Application of mid-infrared chemical imaging and multivariate chemometrics analyses to characterise a population of microalgae cells

Cited by 10 publications

References 29 publications

Monitoring of Microalgal Processes

Monitoring of Microalgal Processes

Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity

Revealing Lipid Body Formation and its Subcellular Reorganization in Oleaginous Microalgae Using Correlative Optical Microscopy and Infrared Nanospectroscopy

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