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Online since: August 2012
Authors: Zhi Min Ou, Ren Wei Li
Model data agreed well with experimental data.
The preparation methods of (R)-HPBE included resolution of the corresponding racemate [2-4], asymmetric reduction of the prochiral ethyl-2-oxy-4-phenylbutyrate and its derivates [5-9], enzymatic esterification of 2-hydroxy-4-phenylbutanoic acid, and chemical multi-step synthesis [10,11].
Preparation of racemic HPBE. racemic HPBE was prepared by chemical reduction. 1.0095 g ethyl-2-oxo-4-phenylbutyrate dissolved in 30 ml of anhydrous ethyl alcohol was added in 500 ml flask containing 0.054 g NaBH4, 130.0 ml anhydrous ethanol and 8.0 ml distilled water and stirred constantly for 4 h.
Kinetic model can predict the actual experimental reactions Fig. 6 Comparisons model data and experimental data (initial substrate concentration was 0.022 mol/L) Fig. 8 Comparisons model data and experimental data (initial substrate concentration was 0.036 mol/L) Fig. 7 Comparisons model data and experimental data (initial substrate concentration was 0.028 mol/L) Fig. 9 Comparisons model data and experimental data (initial substrate concentration was 0.048 mol/L) Fig. 10 Comparisons model datas and experimental datas (initial substrate concentration was 0.074 mol/L) Conclusions Kinetic resolution of ethyl 2-hydroxy-4-phenylbutyrate by lipase AK as catalyst was investigated.
Radhika, Enantio- and regiospecific reduction of ethyl 4-phenyl-2,4-dioxobutyrate with baker’s yeast: preparation of (R)-HPB ester, Tetrahedron: Asymmetry 15 (2004) 3443-3447
The preparation methods of (R)-HPBE included resolution of the corresponding racemate [2-4], asymmetric reduction of the prochiral ethyl-2-oxy-4-phenylbutyrate and its derivates [5-9], enzymatic esterification of 2-hydroxy-4-phenylbutanoic acid, and chemical multi-step synthesis [10,11].
Preparation of racemic HPBE. racemic HPBE was prepared by chemical reduction. 1.0095 g ethyl-2-oxo-4-phenylbutyrate dissolved in 30 ml of anhydrous ethyl alcohol was added in 500 ml flask containing 0.054 g NaBH4, 130.0 ml anhydrous ethanol and 8.0 ml distilled water and stirred constantly for 4 h.
Kinetic model can predict the actual experimental reactions Fig. 6 Comparisons model data and experimental data (initial substrate concentration was 0.022 mol/L) Fig. 8 Comparisons model data and experimental data (initial substrate concentration was 0.036 mol/L) Fig. 7 Comparisons model data and experimental data (initial substrate concentration was 0.028 mol/L) Fig. 9 Comparisons model data and experimental data (initial substrate concentration was 0.048 mol/L) Fig. 10 Comparisons model datas and experimental datas (initial substrate concentration was 0.074 mol/L) Conclusions Kinetic resolution of ethyl 2-hydroxy-4-phenylbutyrate by lipase AK as catalyst was investigated.
Radhika, Enantio- and regiospecific reduction of ethyl 4-phenyl-2,4-dioxobutyrate with baker’s yeast: preparation of (R)-HPB ester, Tetrahedron: Asymmetry 15 (2004) 3443-3447
Online since: January 2013
Authors: Yi Jin
The results indicated that (1) there were two processes: Ga(III)→Ga(I)→Ga(0), which corresponded to the double reduction peaks in the cyclic voltammogram; (2) the first reduction process was a diffusion controlled and quasi-reversible process.
Results and Discussion Electrochemical Reduction of Ga (III).
The double reduction peaks in the cyclic voltammogram indicated that there were two processes in the reduction reaction of Ga(III) to Ga(0) in this Lewis acid ionic liquid solution.
According to Chen etal[8], the first reduction peak correspond to reduction process of Ga(III) to Ga(I) at negative electrode, it was [Ga2Cl7]– convert to Ga+ and [GaCl4]- with getting two electrons (Eq.3).
The data of liner slope K, correlation coefficient r, standard deviation S and diffusion coefficient D are listed in Table 1.
Results and Discussion Electrochemical Reduction of Ga (III).
The double reduction peaks in the cyclic voltammogram indicated that there were two processes in the reduction reaction of Ga(III) to Ga(0) in this Lewis acid ionic liquid solution.
According to Chen etal[8], the first reduction peak correspond to reduction process of Ga(III) to Ga(I) at negative electrode, it was [Ga2Cl7]– convert to Ga+ and [GaCl4]- with getting two electrons (Eq.3).
The data of liner slope K, correlation coefficient r, standard deviation S and diffusion coefficient D are listed in Table 1.
Online since: December 2012
Authors: Wu Qin, Yong Ping Yang, Chang Qing Dong, Ling Nan Wu, Lei Wang
Results show that the inorganic membrane Fe-based oxygen carrier has higher reduction reactivity and stability than the conventional oxygen carrier.
Their activity was measured with a thermogravimetric analyzer (TGA) during reduction/oxidation cycles and Temperature programmed desorption (TPD).
Every cycle of the reduction of the OCs with CO and oxidation with air were conducted at 850℃.
Data in reduction TGA tests is directly got by a sample weight evolution as a function of time.
Fig. 2a shows the conversion data of both OC samples as a function of time in reduction stage, respectively.
Their activity was measured with a thermogravimetric analyzer (TGA) during reduction/oxidation cycles and Temperature programmed desorption (TPD).
Every cycle of the reduction of the OCs with CO and oxidation with air were conducted at 850℃.
Data in reduction TGA tests is directly got by a sample weight evolution as a function of time.
Fig. 2a shows the conversion data of both OC samples as a function of time in reduction stage, respectively.
Online since: July 2022
Authors: Cinthia GarcÍa-Mendoza, Mayra Angélica Alvarez-Lemus, Rosendo López-González, Dora María Frias Márquez, Gabriela Jácome-Acatitla
Recently, it was reported their use in the reduction of aromatic substances under UV irradiation [5, 6].
It can be observed that the reduction of the target molecule due to its interaction with UV-light is neglected.
The catalyst remained active at the end of the reaction and may be used again for the reduction reaction.
Galano, Synthesis of new ZnS-Bipy based hybrid Organic-Inorganic materials for photocatalytic reduction of 4-nitrophenol, 2015
Sing KSW, Haul RAW, Moscou L, Pierotti RA, Rouquerol J, Siemieniewska T Reporting Physisorption Data for Gas/Solid Systems with Special Reference to the Determination of Surface Area and Porosity, Pure Appl Chem 57 ((1985) ) 603-619 [17] Y.
It can be observed that the reduction of the target molecule due to its interaction with UV-light is neglected.
The catalyst remained active at the end of the reaction and may be used again for the reduction reaction.
Galano, Synthesis of new ZnS-Bipy based hybrid Organic-Inorganic materials for photocatalytic reduction of 4-nitrophenol, 2015
Sing KSW, Haul RAW, Moscou L, Pierotti RA, Rouquerol J, Siemieniewska T Reporting Physisorption Data for Gas/Solid Systems with Special Reference to the Determination of Surface Area and Porosity, Pure Appl Chem 57 ((1985) ) 603-619 [17] Y.
Online since: May 2014
Authors: Yu Lun Chien, Yi Ting Hunag, Chih Hong Huang
The device was secured onto a bamboo pole and data was collected in an interval of 12:00-12:30.
In the 30-second duration, data was collected 15 secondly to form an average value.
It was found that data collected from the center of canopy was similar to that from the vacant land by adding absolute humidity into consideration.
The vacant land was found to have a certain degree of influence on air temperature when data from vegetation canopy was compared (Fig. 2).
Measured data at various check points of a Tree Canopy canopy center canpy edge at north canpy edge at south control group at 3.0m Temperature [°C] 30.87 31.8 33.63 36.31 Relative Humidity [%] 59.19 56.47 51.8 44.47 Absolute Humidity [kg/kg] 0.0163 0.0164 0.0167 0.0166 Enthalpy [kJ/kg] 73.55 74.77 77.4 79.98 100 % 108.9% %^AWEFwfertert53434rt%5%%% 103.0% 100 % 87.5% %^AWEFwfertert53434rt%5%%% 95.4% 100 % 105.2% %^AWEFwfertert53434rt%5%%% 101.7% (a) (b) (c) Fig. 2.
In the 30-second duration, data was collected 15 secondly to form an average value.
It was found that data collected from the center of canopy was similar to that from the vacant land by adding absolute humidity into consideration.
The vacant land was found to have a certain degree of influence on air temperature when data from vegetation canopy was compared (Fig. 2).
Measured data at various check points of a Tree Canopy canopy center canpy edge at north canpy edge at south control group at 3.0m Temperature [°C] 30.87 31.8 33.63 36.31 Relative Humidity [%] 59.19 56.47 51.8 44.47 Absolute Humidity [kg/kg] 0.0163 0.0164 0.0167 0.0166 Enthalpy [kJ/kg] 73.55 74.77 77.4 79.98 100 % 108.9% %^AWEFwfertert53434rt%5%%% 103.0% 100 % 87.5% %^AWEFwfertert53434rt%5%%% 95.4% 100 % 105.2% %^AWEFwfertert53434rt%5%%% 101.7% (a) (b) (c) Fig. 2.
Online since: June 2017
Authors: Bo Yang Liu, Bin Bin Liu, Feng Ye
The in-situ electrical resistance data recorded in the isothermal annealing process show the same relaxation behavior with fitting parameters 0.0362, 2033 s, and 0.74, respectively.
The fitting parameters of the experiment data with Eq.1 are 0.0384, 2390 s and 0.66, respectively (as shown in Fig.4).
Compared with the discrete electrical resistance relaxation experiment above, the in-situ electrical resistance relaxation data show almost the same tendency and values.
The solid line denotes the in-situ electrical resistance data, the dash line denotes the KWW fitting curve, the solid squares (■) denote the data from the discrete electrical resistance relaxation experiment, and the open circles (o) denote the recovery enthalpy in DSC scans [7].
Fig. 6 Relaxation time constant versus annealing temperature plot of La55Al25Ni10Cu10 bulk metallic glass, the relaxation time is obtained from the KWW fitting of the electrical resistance relaxation experiment (■) and DSC data from reference (o) [7].
The fitting parameters of the experiment data with Eq.1 are 0.0384, 2390 s and 0.66, respectively (as shown in Fig.4).
Compared with the discrete electrical resistance relaxation experiment above, the in-situ electrical resistance relaxation data show almost the same tendency and values.
The solid line denotes the in-situ electrical resistance data, the dash line denotes the KWW fitting curve, the solid squares (■) denote the data from the discrete electrical resistance relaxation experiment, and the open circles (o) denote the recovery enthalpy in DSC scans [7].
Fig. 6 Relaxation time constant versus annealing temperature plot of La55Al25Ni10Cu10 bulk metallic glass, the relaxation time is obtained from the KWW fitting of the electrical resistance relaxation experiment (■) and DSC data from reference (o) [7].
Online since: November 2012
Authors: Sergio Baragetti, Alessandro Medolago
Experimental data coming from quasistatic tensile tests, carried out on specimens exposed to laboratory air, to a NaCl solution (3.5wt%) and to a methanol solution (95%), will be reported.
These data will be then compared with literature ones, referring to axial-fatigue tests [7, 8] performed on similar specimens exposed to the same environments, with the intent to decouple the effect of the alternating load and of the aggressive environment.
The tests results were then compared with previous experimental data, obtained by fatigue tests carried out on samples having similar geometry and in the same environments [7, 8].
The methanol fatigue data were taken from previous experimental campaigns [11].
Comparison between the quasistatic incubation tests (q-s) results, in different environments a), and comparison between these data and the fatigue ones b) [7, 8].
These data will be then compared with literature ones, referring to axial-fatigue tests [7, 8] performed on similar specimens exposed to the same environments, with the intent to decouple the effect of the alternating load and of the aggressive environment.
The tests results were then compared with previous experimental data, obtained by fatigue tests carried out on samples having similar geometry and in the same environments [7, 8].
The methanol fatigue data were taken from previous experimental campaigns [11].
Comparison between the quasistatic incubation tests (q-s) results, in different environments a), and comparison between these data and the fatigue ones b) [7, 8].
Online since: January 2012
Authors: Kazunari Shinagawa, Rintaro Ueji, Takashi Mizuguchi, Yasuhiro Tanaka, Hayato Miyagawa
The Si steel was multi-passed rolled at 800oC to a various reductions up to 50%.
The 0.2% proof strength (a) tended to increase with the increasing of the reduction and also strain rate.
The total elongation (b) tended to increase with the increase of the reduction by the rolling when the data were compared at the same strain rate.
The threshold strain rate increased with the increasing of the reduction.
The threshold strain rate is higher with increasing of the rolling reduction
The 0.2% proof strength (a) tended to increase with the increasing of the reduction and also strain rate.
The total elongation (b) tended to increase with the increase of the reduction by the rolling when the data were compared at the same strain rate.
The threshold strain rate increased with the increasing of the reduction.
The threshold strain rate is higher with increasing of the rolling reduction
Online since: February 2023
Authors: Rainer Labs, Michael Marré, Abdulkerim Karaman
In this context, two keywords are therefore frequently mentioned: "Big Data" and "data-driven forecasting" [5].
These data volumes offer cost reduction potentials of e.g. up to 20% of the manufacturing costs [8], which are underestimated by many companies [9].
The process data can also show which cost reduction effects and mutual dependencies are associated with the individual parameters [11].
Hemmrich, Data Mining und Industrie 4.0.
Waschbusch, Big Data in der Produktion: große Daten = großes Potential?
These data volumes offer cost reduction potentials of e.g. up to 20% of the manufacturing costs [8], which are underestimated by many companies [9].
The process data can also show which cost reduction effects and mutual dependencies are associated with the individual parameters [11].
Hemmrich, Data Mining und Industrie 4.0.
Waschbusch, Big Data in der Produktion: große Daten = großes Potential?
Online since: January 2006
Authors: Shiro Torizuka, Kotobu Nagai, Akio Ohmori, S.V.S. Narayana Murty
An
equation, d (µm) =102.07
Z
-0.16, was found to satisfy the experimentally obtained data.
Cutting Observed area Cutting Observed area 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 75% reduction ε=1, 0.01s-1 ・ Fig. 1 Experimental procedure.
The data of this study is almost on a single straight line and the following relationship was found between the grain size d and the Z parameter.
Thick line and thin line represent a grain boundary with misorientation θ ≧ 5° and 5° > θ ≧1.5°. 5µm Compression axis 923K,10/s eq =1.2 eq =1.7 eq =2.7 eq =3.8 ε εε ε 5µm 5µm 5µm ・ The data of this study shown in Fig. 4 is on an extension line of the data of subgrain size rather than the grain size of dynamic recrystallization (DRX) reported by Tsuji [11] .
It may be noted from Fig.7 that the data of multi-pass caliber rolled specimens exactly lies on the data of single-pass compressed specimens.
Cutting Observed area Cutting Observed area 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 5K/s 773, 823, 923K for 60s soaking Water quenching Compressive deformation 75% reduction ε=1, 0.01s-1 ・ 75% reduction ε=1, 0.01s-1 ・ Fig. 1 Experimental procedure.
The data of this study is almost on a single straight line and the following relationship was found between the grain size d and the Z parameter.
Thick line and thin line represent a grain boundary with misorientation θ ≧ 5° and 5° > θ ≧1.5°. 5µm Compression axis 923K,10/s eq =1.2 eq =1.7 eq =2.7 eq =3.8 ε εε ε 5µm 5µm 5µm ・ The data of this study shown in Fig. 4 is on an extension line of the data of subgrain size rather than the grain size of dynamic recrystallization (DRX) reported by Tsuji [11] .
It may be noted from Fig.7 that the data of multi-pass caliber rolled specimens exactly lies on the data of single-pass compressed specimens.