A typical curve-fitted Raman spectrum of bio-char. 

A typical curve-fitted Raman spectrum of bio-char. 

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The present dataset describes the entrained-flow pyrolysis of Microalgae Chlorella vulgaris and the results obtained during bio-char characterization. The dataset includes a brief explanation of the experimental procedure, experimental conditions and the influence of pyrolysis conditions on bio-chars morphology and carbon structure. The data show a...

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... under different temperatures and pressures at various magnifications, respectively. Swelling ratios of microalgae bio- chars under pressurized pyrolysis was measured from the SEM analysis data and are shown in Fig. 7. Fig. 8 shows the Raman spectra of microalgae and its bio-char samples prepared under different experimental conditions, while Fig. 9 shows the typical curve-fitted Raman spectra corresponding to D1, D2, D3, D4 and G1 bands, respectively. The FTIR curve-fitting analysis results of bio-chars are presented in Table ...
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... layers, functional groups and small aromatic clusters, and aromatic ethers, respectively [3,4]. The higher full width at half maximum (FWHM) of the defect bands (D2, D3, and D4) in Raman spectra suggested that the carbon structure of bio-chars was highly amorphous in nature. A typical curve-fitted Raman spectrum of bio-char is illustrated in Fig. ...

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... Pressure engineering is one of the most important techniques used to tune the morphology of biochar. Maliutina et al. [27] studied the effect of pressurized entrained flow pyrolysis. It is well-known that lignocellulosic biomass transformation into fuels and chemicals is difficult due to its rigid structure. ...
... Here, there are mostly six components, namely SL (hydrogen circulation along the periphery of the biochar, S (alkyl-alkyl ether), D (defects, heteroatoms, etc.), V (sp 2 C), G (degree However, the B-MP biochar exhibited a D/G ratio < 1 indicating a high degree of graphitization as shown in Figure 9c,f. This is clear proof that biomass grinding using a mortar and pestle induced a mechanochemical reaction [27]. Basically, the pretreatment of BSG may result in the reorganization of the internal moieties, hence the obtaining of a more graphitized structure. ...
... It is worth noting that this same B-MP biochar had the highest However, the B-MP biochar exhibited a D/G ratio < 1 indicating a high degree of graphitization as shown in Figure 9c,f. This is clear proof that biomass grinding using a mortar and pestle induced a mechanochemical reaction [27]. Basically, the pretreatment of BSG may result in the reorganization of the internal moieties, hence the obtaining of a more graphitized structure. ...
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... However, these peaks disappeared after pyrolysis and two wide peaks (G and D-band) appeared on the PBC spectrum (Fig. 2c). The G-band peak is assigned to graphite layers, and the D-band peaks can be related to aromatic clusters, graphene layers, and aromatic ethers (Maliutina et al., 2018). ...
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... This band (D 1 ) can also be attributed to aromatic clusters having more than 6 rings (amorphous carbon structure). The D 2 band centered at ca. 1500 cm − 1 was observed for Ni-FA H , Ni-FA Na/H , and Ni-FA Na , and is suggested to originate from amorphous sp 2 -bonded forms of carbon (represented as functional groups and small aromatic clusters) [67,69]. Based on Raman peak intensities, the coke formed on the used catalysts follows quantitatively the order of Ni-FA H > Ni-FA Na/H > Ni-FA Na > Ni-FA H/Na > Ni-FA. ...
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Bioaerosols are biologically originated particles present in the atmosphere that can be formed from any process involving biological materials. They comprise of both living and non-living components including organisms, dispersal methods of organisms, and excretions. Bioaerosols such as airborne bacteria, fungal spores, pollen, and others possess diverse characteristics and effects. A large gap exists in the scientific understanding of the overall physical characteristics and measurement of bioaerosols. Consequently, this review aims to devise an appropriate approach to generate more scientific knowledge of bioaerosols. In addition to comparisons and discussions about the various factors affecting bioaerosols, sampling, handling, and the application of various devised analytical techniques, this review offers insight into the current state of bioaerosol research. The review focuses on instrumental and methodical strategies to understand bioaerosol measurement. Numerous studies have investigated conventional methods, advanced methods, and real-time methods that can be applied for bioaerosol monitoring. Each method is different in terms of working principle, characteristics, sensitivity, and efficiency. For the first time, this review explains and compares different methods of conventional, offline, online, and real-time detection methods of bioaerosols based on their working principles, sensitivity, and efficiency on a single platform. This will provide a clear concept and better options for selecting the appropriate method based on the research proposal. Furthermore, recent advances are summarized, and future outlooks are emphasized for bioaerosol identification and categorization. This study also encourages developing affordable and standardized methods to avoid the inter-laboratory and sampling variability to obtain a better understanding and comparison of bioaerosol measurements worldwide. Nevertheless, this work can assist researchers in selecting appropriate methods for bioaerosol measurement and investigation.
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