Unique and outstanding cadmium sequestration by polystyrene-supported nanosized zirconium hydroxides: a case study

RSC Advances ◽  
2015 ◽  
Vol 5 (68) ◽  
pp. 55445-55452 ◽  
Author(s):  
Qingrui Zhang ◽  
Jie Teng ◽  
Zhaoxiang Zhang ◽  
Guangze Nie ◽  
Hongwei Zhao ◽  
...  
Keyword(s):  
Functional Groups ◽  
Cation Exchanger ◽  
Highly Efficient ◽  
Hybrid Sorbent

We developed a new hybrid sorbent (HZO-PS) by loading nano-Zr(OH)4 within a cation-exchanger. HZO-PS can combine the strong sorption affinities of HZO and charged functional groups (R–SO3−) enrichment of matrix for highly efficient Cd(ii) removal.

Balancing skeleton and functional groups in total syntheses of complex natural products: a case study of tigliane, daphnane and ingenane diterpenoids

2021 ◽  
Author(s):  
Zhi Liu ◽  
Zhengwei Ding† ◽  
Kai Chen ◽  
Ming Xu ◽  
Tao Yu ◽  
...  
Keyword(s):  
Natural Products ◽  
Functional Groups ◽  
Synthetic Chemistry ◽  
Total Syntheses ◽  
Strategic Balance

The fruitful advancement in synthetic chemistry of the title families of complex diterpenes has stimulated and enjoyed strategic balance between building the skeletons and installing the functional groups.

Industrial resin “INDION 130” modified with vanadyl cations as highly efficient heterogeneous catalyst for epoxidation of fatty compounds with TBHP as oxidant

2015 ◽  
Vol 39 (8) ◽  
pp. 5960-5965 ◽  
Author(s):  
Praveen K. Khatri ◽  
Mounika Aila ◽  
Jyoti Porwal ◽  
Savita Kaul ◽  
Suman L. Jain
Keyword(s):  
Catalytic Activity ◽  
Heterogeneous Catalyst ◽  
Cation Exchanger ◽  
Vanadium Catalyst ◽  
Highly Efficient ◽  
Efficient Heterogeneous Catalyst

Cation exchanger INDION 130 modified with vanadyl cations was found to be readily prepared and reusable and exhibited higher catalytic activity than the homogeneous oxo-vanadium catalyst for epoxidation of fatty compounds.

A general concept for highly efficient covalent laser patterning of graphene based on silver carboxylates

2021 ◽  
Author(s):  
Tao Wei ◽  
Xin Liu ◽  
Sabrin Al-Fogra ◽  
Julien Bachmann ◽  
Frank Hauke ◽  
...  
Keyword(s):  
Functional Groups ◽  
General Concept ◽  
Laser Writing ◽  
Laser Patterning ◽  
Highly Efficient ◽  
Spatially Resolved

Spatially resolved graphene architectures GA, GB, and GC containing different functional groups were efficiently constructed by a novel developed laser-writing concept.

Active site engineering by surface sulfurization for a highly efficient oxygen evolution reaction: a case study of Co3O4 electrocatalysts

2018 ◽  
Vol 6 (45) ◽  
pp. 22497-22502 ◽  
Author(s):  
Ying Pan ◽  
Hangjuan Ren ◽  
Haiwei Du ◽  
Fuyang Cao ◽  
Yifeng Jiang ◽  
...  
Keyword(s):  
Catalytic Activity ◽  
Oxygen Evolution ◽  
Active Site ◽  
Oxygen Evolution Reaction ◽  
Highly Efficient

Enhanced catalytic activity of Co3O4@CoSx through surface sulfurization.

Highly efficient polymer supported phase-transfer catalysts containing hydrogen bond inducing functional groups

2008 ◽  
Vol 49 (8) ◽  
pp. 1380-1383 ◽  
Author(s):  
Qinghua Shi ◽  
Yeon-Ju Lee ◽  
Mi-Jeong Kim ◽  
Mi-Kyung Park ◽  
Kyoungyim Lee ◽  
...  
Keyword(s):  
Hydrogen Bond ◽  
Functional Groups ◽  
Phase Transfer ◽  
Phase Transfer Catalysts ◽  
Highly Efficient ◽  
Polymer Supported

scholarly journals Optimal sampling in a noisy genetic algorithm for risk-based remediation design

2003 ◽  
Vol 5 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Gayathri Gopalakrishnan ◽  
Barbara S. Minsker ◽  
David E. Goldberg
Keyword(s):  
Genetic Algorithm ◽  
Monte Carlo Simulation ◽  
Genetic Algorithms ◽  
Monte Carlo ◽  
Fitness Function ◽  
Sampling Strategies ◽  
Robust Designs ◽  
Highly Efficient ◽  
Efficient Sampling

A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify promising risk-based corrective action (RBCA) designs. Noisy genetic algorithms are simple genetic algorithms that operate in noisy environments. The noisy genetic algorithm uses a type of noisy fitness function (objective function) called the sampling fitness function, which utilises Monte-Carlo-type sampling to find robust designs. Unlike Monte Carlo simulation modelling, however, the noisy genetic algorithm is highly efficient and can identify robust designs with only a few samples per design. For hydroinformatic problems with complex fitness functions, however, it is important that the sampling be as efficient as possible. In this paper, methods for identifying efficient sampling strategies are investigated and their performance evaluated using a case study of a RBCA design problem. Guidelines for setting the parameter values used in these methods are also developed. Applying these guidelines to the case study resulted in highly efficient sampling strategies that found RBCA designs with 98% reliability using as few as 4 samples per design. Moreover, these designs were identified with fewer simulation runs than would likely be required to identify designs using trial-and-error Monte Carlo simulation. These findings show considerable promise for applying these methods to complex hydroinformatic problems where substantial uncertainty exists but extensive sampling cannot feasibly be done.

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