IMPACT OF THE PARTICLE SIZE OF INPUT MATERIAL TO YIELD ON THERMAL DEGRADATION OF ORGANIC FUELS

Author(s):  
Veronika Kucbel
2015 ◽  
Vol 76 (5) ◽  
Author(s):  
N. Aniza ◽  
S. Hassan ◽  
M. F. M. Nor ◽  
K. E. Kee ◽  
Aklilu T.

Thermal degradation of Poultry Processing Dewatered Sludge (PPDS) was studied using thermogravimetric analysis (TGA) method. The effect of particle size on PPDS samples and operational condition such as heating rates were investigated. The non-isothermal TGA was run under a constant flow of oxygen at a rate of 30 mL/min with temperature ranging from 30ºC to 800ºC. Four sample particle sizes ranging between 0.425 mm to 2 mm, and heating rate between 5 K/min to 20 K/min were used in this study. The TGA results showed that particle size does not have any significant effect on the thermogravimetry (TG) curves at the initial stage, but the TG curves started to separate explicitly at the second stage. Particle size may affect the reactivity of sample and combustion performance due to the heat transfer and temperature gradient. The TG and peak of derivative thermogravimetry (DTG) curves tend to alter at high temperature when heating rate is increased most likely due to the limitation of mass transfer and the delay of degradation process. 


2021 ◽  
pp. 4-4
Author(s):  
Nemanja Bojanic ◽  
Aleksandar Fistes ◽  
Tatjana Dosenovic ◽  
Aleksandar Takaci ◽  
Mirjana Brdar ◽  
...  

A method based on the reverse breakage matrix approach is proposed for controlling the effects that milling has on the particle size distribution and composition of the comminuted material. Applicability, possibilities, and limitations of the proposed method are tested on examples related to the process of wheat flour milling. It has been shown that the reverse matrix approach can be successfully used for defining the particle size distribution of the input material leading to the desired, predetermined particle size and compositional distribution in the output material. Moreover, we have illustrated that it is possible to simultaneously control both, input and output particle size distribution, together with the composition of the output material.


Author(s):  
Bhushan A. Bhairav ◽  
Machindra J. Chavan

Simple, swift, selective and accurate UV and HPLC methods were developed and validated for estimation of sofosbuvir in bulk and marketed preparation. In the UV spectroscopy method mobile phase used was methanol in 70:30 ratio with a detection wavelength of 260nm and the assay value obtained was 99.36%. The method was validated as stated by ICH in Q2 R1 guidelines in which linearity was detected from 06-30µg/ml range with regression value of 0.999. In the accuracy, precision and robustness studies RSD were below 2%. In HPLC method, Cosmosil C18 (250mm×4.6ID, Particle size: 5µ) column was utilized with methanol: water (70:30) as mobile phase, 0.9ml/min of flow rate, 260nm detection wavelength for estimation of sofosbuvir. Assay value obtained using this optimized parameters was 99.77% with the time of retention of around 4.3 minutes. HPLC method was also validated as stated by ICH in Q2 R1 guidelines in which linearity was noticed to be in the span of 10-50µg/ml with 0.999 of regression coefficient. LOD and LOQ values of the optimized method were 0.5764 and 1.7468µg/ml. In the accuracy, precision, robustness studies the value of RSD was under 2%. The optimized HPLC method was also utilized for the force degradation study, in which it was found that sofosbuvir is susceptible to oxidative, acid, alkaline, photolytic and thermal degradation. From this study it can be concluded that the developed methods can be employed in the routine analysis for sofosbuvir estimation in bulk and marketed preparation and also to determine degradation of drug.


2010 ◽  
Vol 54 (5) ◽  
pp. 271-277 ◽  
Author(s):  
Ajmia Chouchene ◽  
Mejdi Jeguirim ◽  
Basma Khiari ◽  
Fathi Zagrouba ◽  
Gwénaëlle Trouvé

2020 ◽  
Vol 18 ◽  
pp. 100523 ◽  
Author(s):  
Krishna Kant Dwivedi ◽  
Prabhansu ◽  
M.K. Karmakar ◽  
P.K. Chatterjee

2007 ◽  
Vol 179 (8) ◽  
pp. 1467-1480 ◽  
Author(s):  
DUSTIN T. OSBORNE ◽  
MICHELLE L. PANTOYA

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