A Novel Method to Separate Organic Compounds Through Ultrasonic Atomization

2006 ◽  
Vol 84 (5) ◽  
pp. 412-415 ◽  
Author(s):  
S. Nii ◽  
K. Matsuura ◽  
T. Fukazu ◽  
M. Toki ◽  
F. Kawaizumi
2017 ◽  
Vol 76 (9) ◽  
pp. 2280-2290 ◽  
Author(s):  
Kejia Ning ◽  
Junfeng Wang ◽  
Hongxiang Xu ◽  
Xianfeng Sun ◽  
Gen Huang ◽  
...  

Abstract Coal is a porous medium and natural absorbent. It can be used for its original purpose after adsorbing organic compounds, its value does not reduce and the pollutants are recycled, and then through systemic circulation of coking wastewater zero emissions can be achieved. Thus, a novel method of industrial organic wastewater treatment using adsorption on coal is introduced. Coking coal was used as an adsorbent in batch adsorption experiments. The quinoline, indole, pyridine and phenol removal efficiencies of coal adsorption were investigated. In addition, several operating parameters which impact removal efficiency such as coking coal consumption, oscillation contact time, initial concentration and pH value were also investigated. The coking coal exhibited properties well-suited for organics' adsorption. The experimental data were fitted to Langmuir and Freundlich isotherms as well as Temkin and Redlich–Peterson (R-P) models. The Freundlich isotherm model provided reasonable models of the adsorption process. Furthermore, the purification mechanism of organic compounds' adsorption on coking coal was analysed.


Talanta ◽  
1973 ◽  
Vol 20 (3) ◽  
pp. 329-332 ◽  
Author(s):  
Sarjit Singh Sandhu ◽  
Sarvinder Singh Pahil ◽  
Krishan Dev Sharma

2019 ◽  
Vol 17 (1) ◽  
pp. 1526-1537 ◽  
Author(s):  
Umar Hayat ◽  
Mubasher Umer ◽  
Ivan Gutman ◽  
Bijan Davvaz ◽  
Álvaro Nolla de Celis

Abstract A graph is said to be NSSD (=non-singular with a singular deck) if it has no eigenvalue equal to zero, whereas all its vertex-deleted subgraphs have eigenvalues equal to zero. NSSD graphs are of importance in the theory of conductance of organic compounds. In this paper, a novel method is described for constructing NSSD molecular graphs from the commuting graphs of the Hv-group. An algorithm is presented to construct the NSSD graphs from these commuting graphs.


2013 ◽  
Vol 2013 ◽  
pp. 1-20 ◽  
Author(s):  
Attapon Cheepsattayakorn ◽  
Ruangrong Cheepsattayakorn

Today, exhaled nitric oxide has been studied the most, and most researches have now focusd on asthma. More than a thousand different volatile organic compounds have been observed in low concentrations in normal human breath. Alkanes and methylalkanes, the majority of breath volatile organic compounds, have been increasingly used by physicians as a novel method to diagnose many diseases without discomforts of invasive procedures. None of the individual exhaled volatile organic compound alone is specific for disease. Exhaled breath analysis techniques may be available to diagnose and monitor the diseases in home setting when their sensitivity and specificity are improved in the future.


2017 ◽  
Author(s):  
Olivia Goulden ◽  
Matthew Crooks ◽  
Paul Connolly

Abstract. We present a novel method of exploring the effect of uncertainties in aerosol properties on cloud droplet number using existing cloud droplet activation parameterisations. Aerosol properties of a single involatile particle mode are randomly sampled within an uncertainty range and resulting maximum supersaturations and critical diameters calculated using the cloud droplet activation scheme. Hygroscopicity parameters are subsequently derived and the values of the mean and uncertainty are found to be comparable to experimental observations. A recently proposed cloud droplet activation scheme that includes the effects of co-condensation of semi-volatile organic compounds onto a single lognormal mode of involatile particles is also considered. In addition to the uncertainties associated with the involatile particles, concentrations, volatility distributions and chemical composition of the semi-volatile organic compounds are randomly sampled and hygroscopicity parameters are derived using the cloud droplet activation scheme. The inclusion of semi-volatile organic compounds is found to have a significant effect on the hygroscopicity and contributes a large uncertainty. For non-volatile particles that are effective cloud condensation nuclei, the co-condensation of semi-volatile organic compounds reduces their actual hygroscopicity by approximately 25 %. A new concept of an effective hygroscopicity parameter is introduced that can computationally efficiently simulate the effect of semi-volatile organic compounds on cloud droplet number concentration without direct modelling of the organic compounds. These effective hygroscopicities can be as much as a factor of two higher than those of the non-volatile particles onto which the volatile organic compounds condense.


2018 ◽  
Vol 18 (1) ◽  
pp. 275-287
Author(s):  
Olivia Goulden ◽  
Matthew Crooks ◽  
Paul Connolly

Abstract. We present a novel method of exploring the effect of uncertainties in aerosol properties on cloud droplet number using existing cloud droplet activation parameterisations. Aerosol properties of a single involatile particle mode are randomly sampled within an uncertainty range and resulting maximum supersaturations and critical diameters calculated using the cloud droplet activation scheme. Hygroscopicity parameters are subsequently derived and the values of the mean and uncertainty are found to be comparable to experimental observations. A recently proposed cloud droplet activation scheme that includes the effects of co-condensation of semi-volatile organic compounds (SVOCs) onto a single lognormal mode of involatile particles is also considered. In addition to the uncertainties associated with the involatile particles, concentrations, volatility distributions and chemical composition of the SVOCs are randomly sampled and hygroscopicity parameters are derived using the cloud droplet activation scheme. The inclusion of SVOCs is found to have a significant effect on the hygroscopicity and contributes a large uncertainty. For non-volatile particles that are effective cloud condensation nuclei, the co-condensation of SVOCs reduces their actual hygroscopicity by approximately 25 %. A new concept of an effective hygroscopicity parameter is introduced that can computationally efficiently simulate the effect of SVOCs on cloud droplet number concentration without direct modelling of the organic compounds. These effective hygroscopicities can be as much as a factor of 2 higher than those of the non-volatile particles onto which the volatile organic compounds condense.


2017 ◽  
Vol 12 (6) ◽  
pp. 1934578X1701200 ◽  
Author(s):  
Annalisa Dalmoro ◽  
Sara Cascone ◽  
Gaetano Lamberti ◽  
Anna Angela Barba

This mini-review is focused on an engineering approach to produce polysaccharides-based microparticles for nutraceutical and pharmaceutical purposes. A brief introduction about the fundamental properties of polysaccharides and their use as microsystems in food, cosmetics, and pharmaceutics, and a summary of the most important methods of preparation are described. Then, a novel method based on the ultrasonic atomization of solutions of the two most used polysaccharides, alginate and chitosan, followed by ionotropic gelation to produce enteric microsystems for oral administration and, in particular, the basic mechanisms of the encapsulation of molecules with different size and hydrophilicity, are investigated. This mini-review will show therefore the pathway to correctly design a polysaccharide microcarrier for the encapsulation of active molecules with different properties: from the choice of materials features, to the selection and the optimization of production methods with the aim to reduce costs and energy (ionotropic gelation coupled to ultrasonic atomization), to the control of the final carrier size (by purposely developed predictive models), at last to the optimization of encapsulation properties (predicting by model the drug leakage and providing different solutions to avoid it).


Sign in / Sign up

Export Citation Format

Share Document