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41.
Victoria T. Adeleke Nkosinathi E. Madlala Adebayo A. Adeniyi David Lokhat 《Molecules (Basel, Switzerland)》2022,27(5)
The removal of organic pollutants is a major challenge in wastewater treatment technologies. Coagulation by plant proteins is a promising technique for this purpose. The use of these proteins has been experimentally investigated and reported in the literature. However, the determination of the molecular interactions of these species is experimentally challenging and the computational approach offers a suitable alternative in gathering useful information for this system. The present study used a molecular dynamic simulation approach to predict the potentials of using Moringa oleifera (MO), Arachis hypogaea, Bertholletia excelsa, Brassica napus, and Helianthus annuus plant proteins for the coagulation of organic pollutants and the possible mechanisms of coagulation of these proteins. The results showed that the physicochemical and structural properties of the proteins are linked to their performance. Maximum coagulation of organic molecules to the proteins is between 50–100%. Among five proteins studied for coagulation, Brassica napus and Helianthus annuus performed better than the well-known MO protein. The amino acid residues interacting with the organic molecules play a significant role in the coagulation and this is peculiar with each plant protein. Hydrogen bond and π—interactions dominate throughout the protein–pollutants molecular interactions. The reusability of the proteins after coagulation derived from their structural quality analysis along with the complexes looks promising and most of them are better than that of the MO. The results showed that the seed proteins studied have good prediction potentials to be used for the coagulation of organic pollutants from the environment, as well as the insights into their molecular activities for bioremediation. 相似文献
42.
《Journal of computational science》2014,5(1):12-23
This paper develops the OPUS (Optimization by Particle swarm Using Surrogates) framework for expensive black-box optimization. In each iteration, OPUS considers multiple trial positions for each particle in the swarm and uses a surrogate model to identify the most promising trial position. Moreover, the current overall best position is refined by finding the global minimum of the surrogate in the neighborhood of that position. OPUS is implemented using an RBF surrogate and the resulting OPUS-RBF algorithm is applied to a 36-D groundwater bioremediation problem, a 14-D watershed calibration problem, and ten mostly 30-D test problems. OPUS-RBF is compared with a standard PSO, CMA-ES, two other surrogate-assisted PSO algorithms, and an RBF-assisted evolution strategy. The numerical results suggest that OPUS-RBF is promising for expensive black-box optimization. 相似文献
43.
Some anaerobic bacteria can efficiently eliminate one or more halide atoms from halogenated compounds such as chlorophenols and chloroethenes through reductive dehalogenation. During this process, the bacteria utilize halogenated compounds as the terminal electron acceptors in their anaerobic respiration, called dehalorespiration, to yield energy for growth. Currently the genera of Desulfitobacterium and Dehalococcoides occupy the major part of the dehalorespiring isolates. The former can acquire energy not only by dehalorespiration but also by other respirations utilizing organic compounds and metals. In sharp contrast, the latter is specialized in dehalorespiration and plays a crucial role in the detoxification of chlorinated compounds in nature. From these bacteria, various reductive dehalogenases, which catalyze the dehalogenation reaction, were purified and their corresponding genes were identified. Most reductive dehalogenases exhibit similar features such as the presences of a Tat (twin arginine translocation) signal sequence, two Fe-S clusters, and a corrinoid cofactor. Some of dehalogenase-encoding genes are found to be flanked by insertion sequences. Thus, dehalogenase genes act as a catabolic transposon, and genetic rearrangements mediated by transposable elements occur well in dehalorespirers. Moreover, the genome sequences of some dehalorespiring bacteria provide many insights into the mechanism of dehalorespiration and the evolution of a dehalogenase gene. 相似文献
44.
Rajendran P Ashokkumar B Muthukrishnan J Gunasekaran P 《Applied biochemistry and biotechnology》2002,102(1-6):201-206
Chemical analysis of electroplating effluent revealed the presence of very high concentrations of nickel (393 ppm) in the
effluent. Bioassay was carried out to test the toxicity of nickel chloride to Aspergillus niger. In contrast to 50% conidial inhibition at 1.7 mM nickel, hyphal extension was affected even at a lower concentration (0.4 mM), suggesting that hyphae are more sensitive than conidia to nickel. An increase in nickel concentration resulted in a proportionate
decrease in the hyphal extension. Nickel (II)-resistant mutants of A. niger M1, M2, and M3, were obtained using direct selection, stepwise adaptation, and ultraviolet mutation techniques. Biosorption
of Ni (II) by the mutant M3 was 50% more than that of its parent strain. 相似文献
45.
土壤重金属污染生物修复技术研究进展 总被引:3,自引:1,他引:3
从生物修复的概念和重金属污染土壤的方式出发,对重金属污染土壤植物修复和微生物修复两个方面的一般原理、方法和研究动态进行了综述,指出:重金属污染土壤生物修复基本上处于试验开发阶段,其今后研究的重点为探索超积累植物修复的机理,开发土壤改良剂和生物吸附剂以增加效益,超积累植物生物学性状的改善和微生物基因工程菌的构建,以生物修复为核心的联合修复作用的发挥及生物修复指标体系的建立.可以预料,重金属污染土壤生物修复具有很大的发展前景. 相似文献
46.
利用常规微生物资源黑曲霉(Aspergillus niger),对重金属铜进行生物吸附,研究了转速、pH值、吸附时间等影响因素对黑曲霉生物吸附Cu2+的影响.实验结果表明,当转速为100r/min时,黑曲霉对Cu2+的生物吸附量最大,为6.688mg/L;当pH为5时,黑曲霉对Cu2+的生物吸附量达到最大,为6.713mg/L;前30min ,黑曲霉对Cu2+的生物吸附非常迅速,吸附效率由0增加到18.95% ,30~60min,黑曲霉对Cu2+的生物吸附缓慢增加,60min后吸附达到稳定. 相似文献
47.
土壤硒污染的生物修复技术 总被引:1,自引:0,他引:1
硒是一种较特殊的微量元素,人和动物缺硒和硒中毒之间的范围很窄,土壤硒污染能对当地的人和动物产生重大伤害。采用传统的土壤污染治理方法,成本高,效果差,而近年来兴起的生物修复技术是治理土壤硒污染的既有效又经济的方法。 相似文献
48.
Z. Ronen J.-M. Bollag 《International journal of environmental analytical chemistry》2013,93(2-4):133-143
Abstract Large amounts of aromatic compounds are produced by various industries and two thirds of these are heterocyclic chemicals. Compared with the extensive information available on microbial degradation of homocyclic aromatic compounds, relatively little is known on the transformation and biodegradation of heterocyclic chemicals in soil. Recent concerns about the persistence of hazardous pollutants have led to a renewed interest in the biodegradation of heterocyclic compounds. Hence, we investigated the microbial degradation of pyridine and some of its alkylated derivatives under aerobic and anaerobic conditions in groundwater, subsurface sediment, and soil. Results of the investigation revealed that these compounds were degraded predominantly under aerobic conditions and, to a lesser extent, under anaerobic conditions, with nitrate or sulfate serving as electron acceptors. In groundwater polluted with various pyridine derivatives, biodegradation was limited by the absence of oxygen. Therefore, we conclude that, under appropriate conditions, bioremediation is a potentially feasible method for the clean-up of environments contaminated with heterocyclic chemicals and, in particular, pyridine derivatives. 相似文献
49.
Heavy metals enter the human body through the gastrointestinal tract, skin, or via inhalation. Toxic metals have proven to be a major threat to human health, mostly because of their ability to cause membrane and DNA damage, and to perturb protein function and enzyme activity. These metals disturb native proteins’ functions by binding to free thiols or other functional groups, catalyzing the oxidation of amino acid side chains, perturbing protein folding, and/or displacing essential metal ions in enzymes. The review shows the physiological and biochemical effects of selected toxic metals interactions with proteins and enzymes. As environmental contamination by heavy metals is one of the most significant global problems, some detoxification strategies are also mentioned. 相似文献
50.
Steven K. Schmidt Gregory M. Colores Thomas F. Hess Petra M. Radehaus 《Applied biochemistry and biotechnology》1995,54(1-3):259-270
We have developed a substrate-induced growth response (SIGR) method for quantifying activity and population dynamics of microorganisms
involved in bioremediation processes in soil and bioreactors. The biomass of organisms that can mineralize a given chemical
can be estimated based on the concentration of that chemical needed to induce the growth of the standing population. Estimates
of population size are obtained by using nonlinear regression techniques to fit a simple model of microbial population dynamics
to biodegradation curves. Using this approach we obtain estimates of values for parameters such as initial population size
and growth rate of organisms carrying out biodegradative processes. Our approach was validated by comparing model parameter
estimates with independent estimates of the same parameters from the same bioremediation systems. Examples studied include
pentachlorophenol degraders introduced into soil and 2,4-dinitrophenol degrading organisms in a bioreactor. 相似文献