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6篇 您的检索式：作者名="John Boxall"

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		题名	作者	年代	出处	被引量
	1	Application of nanoparticle tracking analysis for characterising the fate of engineered nanoparticles in sediment-water systems显示文摘Novel applications of nanotechnology may lead to the release of engineered nanoparticles(ENPs), which result in concerns over their potential environmental hazardous impact. It is essential for the research workers to be able to quantitatively characterise ENPs in the environment and subsequently to assist the risk assessment of the ENPs. This study hence explored the application of nanoparticle tracking system(NTA) to quantitatively describe the behaviour of the ENPs in natural sediment-water systems. The NTA allows the measurement of both particle number concentration(PNC) and particle size distribution(PSD) of the ENPs. The developed NTA method was applied to a range of gold and magnetite ENPs with a selection of surface properties. The results showed that the positively-charged ENPs interacted more strongly with the sediment than neutral and negatively-charged ENPs. It was also found that the citrate coated Au ENPs had a higher distribution percentage(53%) than 11-mercaptoundecanoic acid coated Au ENPs(20%) and citrate coated magnetite ENPs(21%). The principles of the electrostatic interactions between hard(and soft) acids and bases(HSAB) are used to explain such behaviours; the hard base coating(i.e. citrate ions) will interact more strongly with hard acid(i.e. magnetite) than soft acid(i.e. gold).The results indicate that NTA is a complementary method to existing approaches to characterise the fate and behaviour of ENPs in natural sediment.	Ping Luo Alejandro Roca Karen Tiede Katie Privett Jiachao Jiang John Pinkstone Guibin Ma Jonathan Veinot Alisatair Boxall	2018	Journal of Environmental Sciences2018，30，2：	6
	2	Measuring the particle size of a known distribution using the focused beam reflec- tance measurement technique 显示文摘	David Greaves John Boxall James Mulligan	2008	Chemical Engineering Science2008，63，22：	1
	3	Predicting hydrate-plug formation in a subsea tieback显示文摘	Davies Simon R Boxall John A Koh Carolyn A	2009	SPE Production & Operations2009，24，4：	1
	4	Predicting hydrate plug formation in oil-dominated flowlines显示文摘	Davies Simon R Boxall John A Dieker Laura E	2010	Journal of Petroleum Science and Engineering2010，72，：	1
	5	Strategy and Human Resource Management显示文摘	Peter Boxall John Purcell	2003	Industrial & Labor Relations Review2003，57，1：	1
	6	Development of a sample preparation approach to measure the size of nanoparticle aggregates by electron microscopy显示文摘Electron microscopy (EM) is widely used for nanoparticle (NP) sizing. Following an initial assessment of two sample preparation protocols described in the current literature as'unperturbed', we found that neither could accurately measure the size of NPs featuring a broad size distribution, e.g., aggregates. Because many real-world NP samples consist of aggregates, this finding was of considerable concern. The data showed that the protocols introduced errors into the measurement by either inducing agglomeration artefacts or providing a skewed size distribution towards small particles (skewing artefact). The focus of this work was to develop and apply a mathematical refinement to correct the skewing artefact. This refinement provided a much improved agreement between EM and a reference methodology, when applied to the measurement of synthetic amorphous silica NPs. Further investigation, highlighted the influence of NP chemistry on the refinement. This study emphasised the urgent need for greater and more detailed consideration regarding the sample preparation of NP aggregates to routinely achieve accurate measurements by EM. This study also provided a novel refinement solution applicable to the size characterisation of silica and c让rate-coated gold NPs featuring broad size distributions. With further research, this approach could be extended to other NP types.	Agnieszka Dudkiewicz Angela Lehner Qasim Chaudhry Kristian Molhave Guenter Allmaier Karen Tiede Alistair B.A. Boxall Peter Hofmann John Lewis	2019	Particuology2019，17，4：	0

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