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Gurkan, Ramazan,Caylak, Osman Korean Chemical Society 2010 대한화학회지 Vol.54 No.5
새로운 동적 분광 광도 측정법은 천연의 물 샘플에서 망간(II)의 측정을 위해 개발되었다. 그 방법은 620 nm에서 활성화제로서 nitrilotriacetic acid (NTA)를 사용하면서 $KIO_4$에 의한 갈로시아닌(Gallocyanin)의 산화와 함께 망간(II)의 촉매 효과에 기초했다. 최적조건은 갈로시아닌(Gallocyanin) $4.00{\times}1^{-5}\;M$, $KIO_4$ $1.00{\times}10^{-4}\;M$, NTA $1.00{\times}10^{-4}\;M$, pH = 3.50인 0.1 M HAc/NaAc 완충용액, 5분의 반응시간 그리고 $30^{\circ}C$의 온도에서 얻어졌다. 최적조건 하에서 제안된 방법은 $0.1\;-\;4.0\;ng\;mL^{-1}$의 범위에서 망간(II)의 측정을 허용했고 $0.025\;ng\;mL^{-1}$이하의 검출한계를 가지고 있다. 표준 망간(II) 용액을 측정하는 것에서 회수율은 98.5 - 102% 범위에 있다. 그리고 상대표준편차(RSD)는 0.76 - 1.25%의 범위에 있다. 새롭게 개발된 동적 방법은 약간의 주위의 물과 만족할 만한 결과를 갖는 JAC-0031의 공인된 표준 기준 강물 샘플 둘 다에서 망간(II)의 측정에 성공적으로 응용되었다. 또한, 얼마 안 되는 양이온과 음이온은 망간(II)의 측정을 방해한다. 다른 촉매-동적 방법과 기기적 방법과 비교했을 때, 제안된 동적 방법은 상당히 좋은 선택성과 감도, 낮은 가격, 저렴함, 낮은 검출한계와 신속함을 보인다. 상대적으로 낮은 염분을 갖는 진짜 물 샘플과 병으로 된 마시는 물, 차갑고 뜨거운 용천수, 호수, 강물 샘플 같은 복잡한 모체들에 적용하는 것은 쉽고 성공적으로 적용될 수 있다. A new kinetic spectrophotometric method is developed for the measurement of Mn(II) in natural water samples. The method is based on the catalytic effect of Mn(II) with the oxidation of Gallocyanin by $KIO_4$ using nitrilotriacetic acid (NTA) as an activation reagent at 620 nm. The optimum conditions obtained are $4.00{\times}1^{-5}\;M$ Gallocyanin, $KIO_4$, $1.00{\times}10^{-4}\;M$ NTA, 0.1 M HAc/NaAc buffer of pH = 3.50, the reaction time of 5 min and the temperature of $30^{\circ}C$. Under the optimum conditions, the proposed method allows the measurement of Mn(II) in a range of $0.1\;-\;4.0\;ng\;mL^{-1}$ and with a detection limit of down to $0.025\;ng\;mL^{-1}$. The recovery efficiency in measuring the standard Mn(II) solution is in a range of 98.5 - 102%, and the RSD is in a range of 0.76 - 1.25%. The newly developed kinetic method has been successfully applied to the measurement of Mn(II) in both some environmental water samples and certified standard reference river water sample, JAC-0031 with satisfying results. Moreover, few cations and anions interfere with the measurement of Mn(II). Compared with the other catalytic-kinetic methods and instrumental methods, the proposed kinetic method shows fairly good selectivity and sensitivity, low cost, cheapness, low detection limit and rapidity. It can easily and successfully be applied to the real water samples with relatively low salt content and complex matrices such as bottled drinking water, cold and hot spring waters, lake water, river water samples.
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Eduard Penner,Ismail Caylak,Rolf Mahnken 한국섬유공학회 2023 Fibers and polymers Vol.24 No.1
Composite materials, such as fiber reinforced polymers, become increasingly important due to their excellent mechanicaland lightweight properties. In this respect, this paper reports the characterization of a unidirectional carbon fiber reinforcedpolymer composite material. Particularly, the mechanical behavior of the overall composite and of the individual constituentsof the composite is investigated. To this end, tensile and shear tests are performed for the composite. As a result, statistics forfive transversely isotropic material parameters can be established for the composite. For the description of the mechanicalproperties of the constituents, tensile tests for the carbon fiber as well as for the polymer matrix are carried out. In addition,the volume fraction of fibers in the matrix is determined experimentally using an ashing technique and Archimedes’ principle. For the Young’s modulus of the fiber, the Young’s modulus and transverse contraction of the matrix, as well as the volumefraction of the constituents, statistics can be concluded. The resulting mechanical properties on both scales are useful forthe application and validation of different material models and homogenization methods. Finally, in order to validate theobtained properties in the future, inhomogeneous tests were performed, once a flat plate with a hole and a flat plate withsemicircular notches.
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B. Izadkhah,S.R. Nabavi,D. Salari,T. Mahmuodi Badiki,N. Caylak,A. Niaei 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.6
A neural network model was coupled with genetic algorithm to find an optimal catalyst for elimination of volatile organic compounds (VOCs). The model was based on simultaneous investigation of catalyst formulation, preparation condition, and loaded metal atomic descriptors as representative of each metal,which enables us to evaluate catalyst composition with much fewer experimental data. We have investigated oxides of first transition metal series (V, Cr, Mn, Fe, Co, Ni, Cu and Zn) as a promoter for Ag-ZSM-5 catalyst. Three optimum catalysts, Fe–Ag-ZSM-5, Ni–Ag-ZSM-5, and V–Ag-ZSM-5 were found to have more catalytic activity for VOC (ethyl acetate) oxidation than Ag-ZSM-5.
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