Investigation on natural and pretreated Bulgarian clinoptilolite for ammonium ions removal from aqueous solutions

Vassileva, Paunka; Voikova, Dimitrinka

doi:10.1016/j.jhazmat.2009.05.062

Cited by 114 publications

(53 citation statements)

References 25 publications

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“…The details on the microsensor development were reported in [30]. Imaginary part of admittanse, S Frequency, Hz The optimal pH value, found here, corresponds well with the data reported by Karadag et al [31] and Vassileva and Voikova [32] where the authors show that pH value near to 6 provides high adsorption capacity of clinoptilolite toward ammonium. Thus, 5 mM phosphate buffer (KH 2 PO 4 -Na 2 HPO 4 ) with pH 6.0 was used further as a working solution for the clinoptilolite-based L-arginine biosensors.…”

Section: Electrical Properties and Analytical Characteristics Of Condsupporting

confidence: 87%

Application of Ammonium-Selective Zeolite for Enhancement of Conductometric Bi-Enzyme Biosensor for L-Arginine Detection

Saiapina

Matsishin

Pyeshkova

et al. 2012

SEMST

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Abstract. L-arginine conductometric biosensors were developed on the basis of arginase and urease cross-linked by glutaraldehyde in a single bioselective membrane and modified with clinoptilolite. The clinoptilolite intrinsic properties helpful for conductometric detection of L-arginine were investigated using three approaches to the creation of zeolite-containing enzymatic membranes. The developed biosensors were compared with the L-arginine biosensor, not modified with clinoptilolite, for the sensitivity, linear and dynamic range, detection limit, response time, operational and storage stability in L-arginine analysis. It was shown that the incorporation of ammonium-selective zeolite to the bioselective membrane of L-arginine biosensor allows increasing the biosensor sensitivity when applying all proposed approaches to the formation of zeolite-containing biomembranes. In addition, excellent values of both detection limit and linear range (1.0×10-5 M and 0.01-6 mM, respectively) were achieved for the biosensor based on arginase, urease and zeolite distributed in a single bioselective layer. The clinoptilolite-based biosensors for L-arginine demonstrated short response time, high operational stability (a coefficient of variations reached 0.74%), their lifetime exceeded four months.Keywords: L-arginine; Clinoptilolite; Conductometric biosensor; Arginase; Urease ЗАСТОСУВАННЯ АМОНІЙ-СЕЛЕКТИВНОГО ЦЕОЛІТУ ДЛЯ ПОКРАЩЕННЯ КОНДУКТОМЕТРИЧНОГО ДВОФЕРМЕНТНОГО БІОСЕНСОРА ДЛЯ ВИЗНАЧЕННЯАнотація. Розроблено кондуктометричні біосенсори для визначення L-аргініну на основі аргінази та уреази, іммобілізованих в одній біоселективній мембрані методом поперечного зшивання за допомогою глутарового альдегіду та модифікованій клиноптилолітом. Характерні властивості клиноптилоліту, корисні для кондуктометричного визначення L-аргініну, були до-слідженні за допомогою трьох підходів для створення цеоліт-вмісних ферментних мембран. Розроблені біосенсори порівнювали з біосенсором для визначення L-аргініну, який не був мо-дифікований клиноптилолітом, за такими показниками, як чутливість, лінійний і динамічний діапазон, нижня межа визначення, час відгуку, операційна стабільність і стабільність при збе-ріганні. Показано, що включення амоній-селективного цеоліту до складу біоселективної мемб-рани L-аргінінового біосенсора дозволяє підвищити чутливість біосенсора, застосовуючи всі запропоновані підходи для формування цеоліт-вмісних біомембран. Крім того було отримано чудові значення нижньої межі визначення та лінійного діапазону (1,0×10-5 М та 0,01-6 мМ від-повідно) у біосенсора, у якому аргіназа, уреаза та цеоліт були розподілені в єдиному біоселек-тивному шарі. Біосенсори для визначення L-аргініну на основі клиноптилоліту мали короткий час відгуку, високу операційну стабільність (коефіцієнт варіації досягав 0,74%), а їх стабіль-ність при зберіганні була вища за чотири місяці. Аннотация. Разработаны кондуктометрические биосенсоры для определения L-аргинина на основе аргиназы и уреазы, иммобилизованных в одной биоселективной мембране методом попе...

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Section: Electrical Properties and Analytical Characteristics Of Condsupporting

confidence: 87%

Application of Ammonium-Selective Zeolite for Enhancement of Conductometric Bi-Enzyme Biosensor for L-Arginine Detection

Saiapina

Matsishin

Pyeshkova

et al. 2012

SEMST

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“…The authors investigated the elimination of ammonium by CLI from China and USA and stated that there is no change in the elimination or loading in a pH range of 5 or 6 to 9. However, with other zeolites, specific pH values were also found at which maximum elimination extents were achieved (pH 8: [42]; pH 7: [11,14,43]; pH 6: [13,16,44]; pH 4: [20]). The decrease in elimination of ammonium was in the same pH range where ammonium dissociates to uncharged ammonia, which was, thus, no longer available for ion exchange.…”

Section: Isoelectric State and Ph-dependent Adsorptionmentioning

confidence: 95%

“…While the ability of ammonium adsorption by zeolites was the focus of recent investigations, most of these investigations were carried out with one type of CLI from one specific deposit only [10,[14][15][16][17][18][19][20], focusing on the composition of the CLI, the adsorption/elimination of ammonium at different pH values, describing the adsorption process, the kinetics using different models, and evaluation of the thermodynamic properties of the adsorption process.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Different Clinoptilolite Zeolites as Adsorbent for Ammonium Removal from Highly Concentrated Synthetic Wastewater

Wasielewski

Rott

Minke

et al. 2018

Water

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Abstract:The supply of food to the growing world population requires an increasing amount of nitrogen fertilizers, which can be achieved both by the energy-intensive Haber-Bosch process and by recovering ammonium from wastewater. Within the scope of this work, it is investigated to what extent different clinoptilolites (CLIs) can be used as ion-exchangers for the removal of ammonium from highly concentrated solutions. To this end, finely ground CLIs with different grain sizes (EcoZeo 20 and CCP 20: 0-20 µm, Micro 200: 0-200 µm) were tested for their sorption properties by varying the parameters of the sorption solution (c 0 = 1000 mg NH 4 -N/L) such as pH, temperature, or contact time. All three CLIs tested were effective at adsorbing ammonium. In a pH range from 2 to 8, all CLIs were able to eliminate ammonium equally well. Furthermore, a contact time of 60 min was sufficient to achieve 84-88% of the maximum load. At a temperature of 34 • C, the highest loading was achieved (investigated range: 10-34 • C), indicating that the adsorption process of all CLIs was exergonic and endothermic. Especially for wastewater streams with high ammonium concentrations such as sludge water from wastewater treatment plants, CLI proved to be suitable to adsorb ammonium.

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“…The maximum ammonium sorption capacity of clinoptilolite rich mineral specimen was found as 9.47 mg/g. Ammonium sorption capacity values were reported in the range of 6-30 mg/g for clinoptilolite rich mineral from various origins (Englert and Rubio, 2005;Lei et al, 2008;Saltalı et al, 2007;Sarıoğlu, 2005;Sprynskyy et al, 2005;Vassileva and Voikova, 2009;Wang et al, 2007;Weatherley and Miladinovic, 2004;Widiastuti et al, 2011).…”

Section: Sorption Isothermsmentioning

confidence: 99%

Ammonium sorption by Gördes clinoptilolite rich mineral specimen

Erdoğan

Ülkü

2011

Applied Clay Science

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Experimental and theoretical works were performed for the estimation of the effects of pH, initial concentration, agitation speed, particle size and temperature on the ammonium sorption by local clinoptilolite rich mineral specimen. The kinetic sorption data were analyzed using external mass transfer, intraparticle diffusion, pseudo first and second order kinetic models. Diffusion model results revealed that external film diffusion dominated at the very early stages of sorption process and then it was overcome by intraparticle diffusion. Pseudo-second order kinetic model correlated with the experimental data better than the pseudo first order kinetic model. Sorption isotherm model results indicated that the Langmuir isotherm fitted well to the experimental data. Thermodynamic parameters Gibbs energy change (ΔG), enthalpy change (ΔH) and entropy change (ΔS) were calculated. It was shown that the sorption process was exothermic and spontaneous. The value of the activation energy suggested that ammonium sorption by the clinoptilolite rich mineral specimen is likely due to physical interactions between the sorbent and the sorbate. Analysis of the cation exchange results revealed that ion exchange mechanism was not the only step which was effective in ammonium sorption.

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Investigation on natural and pretreated Bulgarian clinoptilolite for ammonium ions removal from aqueous solutions

Cited by 114 publications

References 25 publications

Application of Ammonium-Selective Zeolite for Enhancement of Conductometric Bi-Enzyme Biosensor for L-Arginine Detection

Application of Ammonium-Selective Zeolite for Enhancement of Conductometric Bi-Enzyme Biosensor for L-Arginine Detection

Evaluation of Different Clinoptilolite Zeolites as Adsorbent for Ammonium Removal from Highly Concentrated Synthetic Wastewater

Ammonium sorption by Gördes clinoptilolite rich mineral specimen

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