Fish glue is the collagen from scale skin and bone of fish. It is known for value added product from fish processing and the adhesive agent for wood paper book binding etc. This work was aimed with the method to produ...Fish glue is the collagen from scale skin and bone of fish. It is known for value added product from fish processing and the adhesive agent for wood paper book binding etc. This work was aimed with the method to produce fish glue from fish skin through representing optimum fish type and its glue character by study on standard method for fish glue processing （using Oreochromis niloticus skin as the model）, optimum fish type and characterization of the glue from optimum fish skin. Soaking fish skin in 0.1 N NaOH for 6 h and changed it every 3 h for pretreatment before acid extraction with 0.5 M acetic acid was the optimum condition for the standard processing. Among 20 types （O. niloticus, Oreochromis sp., Nemipterus sp., Psettodes erumei, Epiephelus malabaricus, Sphyraena obstsata, Channa striata, Xenentodon cancila, Barbonymus gonionotus, Liza vaigiensis, Anabas testudineus, Chanos chanos, Micronema bleekeri, Thunnus tonggol, Rastrelliger brachysom, Epinephelus lanceolatus, Lutjanus lineolatus, Pomadasys hasta, Selar crumenophthalmus and Sardaorentalis sp.）, Chanos chanos was an appropriate type for glue production. Fat, protein, carbohydrate, moisture, pH and viscosity of Chanos chanos glue were 0.32%, 4.23%, 83.8%, 11.56%, 3.35, 4,978.33-8,180 cp, respectively. The glue was collagen type I which was composed ofal （148 kDa） and a2 （129 kDa） chain and could bind paper, wood and foam sheet.展开更多
Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks...Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks. To solve this model, a new 3-layer cultural evolving algorithm framework which has a population space, a medium space and a belief space is firstly conceived. Standard differential evolution algorithm(DE), genetic algorithm(GA), and particle swarm optimization algorithm(PSO) are embedded in this framework to build 3-layer mixed cultural DE/GA/PSO(3LM-CDE, 3LM-CGA, and 3LM-CPSO) algorithms. The accuracy and efficiency of the proposed hybrid algorithms are firstly tested in 20 benchmark nonlinear constrained functions. Then, the operational optimization model for syngas production in a Texaco coal-water slurry gasifier of a real-world chemical plant is solved effectively. The simulation results are encouraging that the 3-layer cultural algorithm evolving framework suggests ways in which the performance of DE, GA, PSO and other population-based evolutionary algorithms(EAs) can be improved,and the optimal operational parameters based on 3LM-CDE algorithm of the syngas production in the Texaco coalwater slurry gasifier shows outstanding computing results than actual industry use and other algorithms.展开更多
Syngas conversion to fuels and chemicals is one of the most challenging subjects in the field of C1 chemistry. It is considered as an attractive alternative non-petroleum-based production route. The direct synthesis o...Syngas conversion to fuels and chemicals is one of the most challenging subjects in the field of C1 chemistry. It is considered as an attractive alternative non-petroleum-based production route. The direct synthesis of olefins and alcohols as high value-added chemicals from syngas has drawn particular attention due to its process simplicity, low energy consumption and clean utilization of carbon resource, which conforms to the principles of green carbon science. This review describes the recent advances for the direct production of lower olefins and higher alcohols via syngas conversion. Recent progress in the development of new catalyst systems for enhanced catalytic performance is highlighted. We also give recommendations regarding major challenges for further research in syngas conversion to various chemicals.展开更多
文摘Fish glue is the collagen from scale skin and bone of fish. It is known for value added product from fish processing and the adhesive agent for wood paper book binding etc. This work was aimed with the method to produce fish glue from fish skin through representing optimum fish type and its glue character by study on standard method for fish glue processing （using Oreochromis niloticus skin as the model）, optimum fish type and characterization of the glue from optimum fish skin. Soaking fish skin in 0.1 N NaOH for 6 h and changed it every 3 h for pretreatment before acid extraction with 0.5 M acetic acid was the optimum condition for the standard processing. Among 20 types （O. niloticus, Oreochromis sp., Nemipterus sp., Psettodes erumei, Epiephelus malabaricus, Sphyraena obstsata, Channa striata, Xenentodon cancila, Barbonymus gonionotus, Liza vaigiensis, Anabas testudineus, Chanos chanos, Micronema bleekeri, Thunnus tonggol, Rastrelliger brachysom, Epinephelus lanceolatus, Lutjanus lineolatus, Pomadasys hasta, Selar crumenophthalmus and Sardaorentalis sp.）, Chanos chanos was an appropriate type for glue production. Fat, protein, carbohydrate, moisture, pH and viscosity of Chanos chanos glue were 0.32%, 4.23%, 83.8%, 11.56%, 3.35, 4,978.33-8,180 cp, respectively. The glue was collagen type I which was composed ofal （148 kDa） and a2 （129 kDa） chain and could bind paper, wood and foam sheet.
基金Supported by the National Natural Science Foundation of China(61174040,U1162110,21206174)Shanghai Commission of Nature Science(12ZR1408100)
文摘Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks. To solve this model, a new 3-layer cultural evolving algorithm framework which has a population space, a medium space and a belief space is firstly conceived. Standard differential evolution algorithm(DE), genetic algorithm(GA), and particle swarm optimization algorithm(PSO) are embedded in this framework to build 3-layer mixed cultural DE/GA/PSO(3LM-CDE, 3LM-CGA, and 3LM-CPSO) algorithms. The accuracy and efficiency of the proposed hybrid algorithms are firstly tested in 20 benchmark nonlinear constrained functions. Then, the operational optimization model for syngas production in a Texaco coal-water slurry gasifier of a real-world chemical plant is solved effectively. The simulation results are encouraging that the 3-layer cultural algorithm evolving framework suggests ways in which the performance of DE, GA, PSO and other population-based evolutionary algorithms(EAs) can be improved,and the optimal operational parameters based on 3LM-CDE algorithm of the syngas production in the Texaco coalwater slurry gasifier shows outstanding computing results than actual industry use and other algorithms.
基金supported by the National Natural Science Foundation of China(91545112,21573271,21403278)Shanghai Municipal Science and Technology Commission,China(15DZ1170500)the Chinese Academy of Sciences(QYZDB-SSW-SLH035)
文摘Syngas conversion to fuels and chemicals is one of the most challenging subjects in the field of C1 chemistry. It is considered as an attractive alternative non-petroleum-based production route. The direct synthesis of olefins and alcohols as high value-added chemicals from syngas has drawn particular attention due to its process simplicity, low energy consumption and clean utilization of carbon resource, which conforms to the principles of green carbon science. This review describes the recent advances for the direct production of lower olefins and higher alcohols via syngas conversion. Recent progress in the development of new catalyst systems for enhanced catalytic performance is highlighted. We also give recommendations regarding major challenges for further research in syngas conversion to various chemicals.
