Compositional analysis of lignocellulosic biomass: conventional methodologies and future outlook

2017 ◽  
Vol 38 (2) ◽  
pp. 199-217 ◽  
Author(s):  
Daniel J. Krasznai ◽  
Rachel Champagne Hartley ◽  
Hannah M. Roy ◽  
Pascale Champagne ◽  
Michael F. Cunningham
Author(s):  
Neha Srivastava ◽  
Kajal Mishra ◽  
Manish Srivastava ◽  
Kumar Rohit Srivastava ◽  
Vijai Kumar Gupta ◽  
...  

2021 ◽  
Author(s):  
Fachuang Lu ◽  
Chen Wang ◽  
Mingjie Chen ◽  
Fengxia Yue ◽  
John Ralph

Although measuring lignin contents is a routine operation for biomass compositional analysis in process development aiming at efficient utilization of woody biomass, it is still a challenging task requiring many...


2020 ◽  
Vol 8 (1) ◽  
pp. 48-56
Author(s):  
Adewale Elijah Fadeyi ◽  
Saheed Olatunbosun Akiode ◽  
Stella A Emmanuel ◽  
Olajide Ebenezer Falayi

Agricultural wastes have been identified as a potential lignocellulosic biomass for bioethanol production. An accurate biomass characterization is needed to evaluate the new potential lignocelluloses biosource for biofuel production. This study evaluates the compositional analysis and characterization of three agricultural wastes (melon husk, moringa pod and mango endocarp). The samples were collected locally in Sheda Village, FCT, Abuja, Nigeria. The lignocellulose biomass composition of the samples was determined by using a proven economically viable gravimetric method and the samples were further characterized using the FTIR. The results showed that a significant amount of hemicelluloses content was found, from 19.38% to 27.74% and the highest amount was present in melon musk. The amount of cellulose ranging from 22.49% to 45.84% was found where the highest amount was found in mango endocarp. Lignin content was in the range of 22.62% to 29.87% and melon husk was shown to have the highest amount. The FTIR spectroscopic analysis showed a broad band at 3422.99 cm-1, 3422.66 cm-1, 3422.85 cm-1 (for mango endocarp, melon husk and moringa pod respectively) representing bonded –OH groups. The peak around 1637 cm-1 corresponds to C=C stretching of conjugated carboxylic acids. The aliphatic chains, -CH2- and –CH3, which form the basic structure of cellulose material, were seen at 1205.72, 1204.50 and 1206.24 cm-1. The signals at 1056.15, 1035.80 and 1055.86 cm-1 correspond to C-O-R (alcohols or esters) vibration. The results show that the samples contain significant quantity of lignocellulosic biomass. Thus, the agricultural wastes could be of valuable use in biofuel production.


Author(s):  
A. Olsen ◽  
J.C.H. Spence ◽  
P. Petroff

Since the point resolution of the JEOL 200CX electron microscope is up = 2.6Å it is not possible to obtain a true structure image of any of the III-V or elemental semiconductors with this machine. Since the information resolution limit set by electronic instability (1) u0 = (2/πλΔ)½ = 1.4Å for Δ = 50Å, it is however possible to obtain, by choice of focus and thickness, clear lattice images both resembling (see figure 2(b)), and not resembling, the true crystal structure (see (2) for an example of a Fourier image which is structurally incorrect). The crucial difficulty in using the information between Up and u0 is the fractional accuracy with which Af and Cs must be determined, and these accuracies Δff/4Δf = (2λu2Δf)-1 and ΔCS/CS = (λ3u4Cs)-1 (for a π/4 phase change, Δff the Fourier image period) are strongly dependent on spatial frequency u. Note that ΔCs(up)/Cs ≈ 10%, independent of CS and λ. Note also that the number n of identical high contrast spurious Fourier images within the depth of field Δz = (αu)-1 (α beam divergence) decreases with increasing high voltage, since n = 2Δz/Δff = θ/α = λu/α (θ the scattering angle). Thus image matching becomes easier in semiconductors at higher voltage because there are fewer high contrast identical images in any focal series.


Author(s):  
John B. Vander Sande ◽  
Thomas F. Kelly ◽  
Douglas Imeson

In the scanning transmission electron microscope (STEM) a fine probe of electrons is scanned across the thin specimen, or the probe is stationarily placed on a volume of interest, and various products of the electron-specimen interaction are then collected and used for image formation or microanalysis. The microanalysis modes usually employed in STEM include, but are not restricted to, energy dispersive X-ray analysis, electron energy loss spectroscopy, and microdiffraction.


2015 ◽  
Vol 7 (1) ◽  
pp. 271-276
Author(s):  
MA Zubair ◽  
MA Haque ◽  
MM Sultana ◽  
S Akter

16th February 2015. Due to a number of missing tables and figures, this article (DOI: http://dx.doi.org/10.3329/jesnr.v7i1.22182) was withdrawn from Vol.7(1) and has been republished with corrections in Vol.7(2) pp.185-190 (DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22230). The Editor  


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