東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Detection and Surface Reactivity of ...

Bi, Xiangyu.

Linked to FindBook

Google Book

Amazon

博客來

Detection and Surface Reactivity of Engineered Nanoparticles in Water.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Detection and Surface Reactivity of Engineered Nanoparticles in Water./
Author:	Bi, Xiangyu.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	343 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-03, Section: B.
Contained By:	Dissertations Abstracts International80-03B.
Subject:	Chemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10845783
ISBN:	9780438291775

Detection and Surface Reactivity of Engineered Nanoparticles in Water.
Bi, Xiangyu.

Detection and Surface Reactivity of Engineered Nanoparticles in Water. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 343 p.

Source: Dissertations Abstracts International, Volume: 80-03, Section: B.

Thesis (Ph.D.)--Arizona State University, 2018.

This item must not be added to any third party search indexes.

Engineered nanoparticles (NPs) pose risk potentials, if they exist in water systems at significant concentrations and if they remain reactive to cause toxicity. Three goals guided this study: (1) establishing NP detecting methods with high sensitivity to tackle low concentration and small sizes, (2) achieving assays capable of measuring NP surface reactivity and identifying surface reaction mechanisms, and (3) understanding the impact of surface adsorption of ions on surface reactivity of NPs in water. The size detection limit of single particle inductively coupled plasma spectrometry (spICP-MS) was determined for 40 elements, demonstrating the feasibility of spICP-MS to different NP species in water. The K-means Clustering Algorithm was used to process the spICP-MS signals, and achieved precise particle-noise differentiation and quantitative particle size resolution. A dry powder assay based on NP-catalyzed methylene blue (MB) reduction was developed to rapidly and sensitively detect metallic NPs in water by measuring their catalytic reactivity. Four different wet-chemical-based NP surface reactivity assays were demonstrated: "borohydride reducing methylene blue (BHMB)", "ferric reducing ability of nanoparticles (FRAN)", "electron paramagnetic resonance detection of hydroxyl radical (EPR)", and "UV-illuminated methylene blue degradation (UVMB)". They gave different reactivity ranking among five NP species, because they targeted for different surface reactivity types (catalytic, redox and photo reactivity) via different reaction mechanisms. Kinetic modeling frameworks on the assay outcomes revealed two surface electron transfer schemes, namely the "sacrificial reducing" and the "electrode discharging", and separated interfering side reactions from the intended surface reaction. The application of NPs in chemical mechanical polishing (CMP) was investigated as an industrial case to understand NP surface transformation via adsorbing ions in water. Simulation of wastewater treatment showed CMP NPs were effectively removed (>90%) by lime softening at high pH and high calcium dosage, but 20-40% of them remained in water after biomass adsorption process. III/V ions (In III, GaIII, and AsIII/V) derived from semiconductor materials showed adsorption potentials to common CMP NPs (SiO 2, CeO2 and Al2O3), and a surface complexation model was developed to determine their intrinsic complexation constants for different NP species. The adsorption of AsIII and AsV ions onto CeO2 NPs mitigated the surface reactivity of CeO2 NPs suggested by the FRAN and EPR assays. The impact of the ion adsorption on the surface reactivity of CeO2 NPs was related to the redox state of Ce and As on the surface, but varied with ion species and surface reaction mechanisms.

ISBN: 9780438291775Subjects--Topical Terms:

516420
Chemistry.
Subjects--Index Terms:

Engineered nanoparticles

Detection and Surface Reactivity of Engineered Nanoparticles in Water.
LDR:04064nmm a2200385 4500 001 2272016
005 20201102111647.5
008 220629s2018 ||||||||||||||||| ||eng d
020 $a 9780438291775
035 $a (MiAaPQ)AAI10845783
035 $a (MiAaPQ)asu:18217
035 $a AAI10845783
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bi, Xiangyu. $3 3549440
245 1 0 $a Detection and Surface Reactivity of Engineered Nanoparticles in Water.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 343 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-03, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Westerhoff, Paul K.
502 $a Thesis (Ph.D.)--Arizona State University, 2018.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a Engineered nanoparticles (NPs) pose risk potentials, if they exist in water systems at significant concentrations and if they remain reactive to cause toxicity. Three goals guided this study: (1) establishing NP detecting methods with high sensitivity to tackle low concentration and small sizes, (2) achieving assays capable of measuring NP surface reactivity and identifying surface reaction mechanisms, and (3) understanding the impact of surface adsorption of ions on surface reactivity of NPs in water. The size detection limit of single particle inductively coupled plasma spectrometry (spICP-MS) was determined for 40 elements, demonstrating the feasibility of spICP-MS to different NP species in water. The K-means Clustering Algorithm was used to process the spICP-MS signals, and achieved precise particle-noise differentiation and quantitative particle size resolution. A dry powder assay based on NP-catalyzed methylene blue (MB) reduction was developed to rapidly and sensitively detect metallic NPs in water by measuring their catalytic reactivity. Four different wet-chemical-based NP surface reactivity assays were demonstrated: "borohydride reducing methylene blue (BHMB)", "ferric reducing ability of nanoparticles (FRAN)", "electron paramagnetic resonance detection of hydroxyl radical (EPR)", and "UV-illuminated methylene blue degradation (UVMB)". They gave different reactivity ranking among five NP species, because they targeted for different surface reactivity types (catalytic, redox and photo reactivity) via different reaction mechanisms. Kinetic modeling frameworks on the assay outcomes revealed two surface electron transfer schemes, namely the "sacrificial reducing" and the "electrode discharging", and separated interfering side reactions from the intended surface reaction. The application of NPs in chemical mechanical polishing (CMP) was investigated as an industrial case to understand NP surface transformation via adsorbing ions in water. Simulation of wastewater treatment showed CMP NPs were effectively removed (>90%) by lime softening at high pH and high calcium dosage, but 20-40% of them remained in water after biomass adsorption process. III/V ions (In III, GaIII, and AsIII/V) derived from semiconductor materials showed adsorption potentials to common CMP NPs (SiO 2, CeO2 and Al2O3), and a surface complexation model was developed to determine their intrinsic complexation constants for different NP species. The adsorption of AsIII and AsV ions onto CeO2 NPs mitigated the surface reactivity of CeO2 NPs suggested by the FRAN and EPR assays. The impact of the ion adsorption on the surface reactivity of CeO2 NPs was related to the redox state of Ce and As on the surface, but varied with ion species and surface reaction mechanisms.
590 $a School code: 0010.
650 4 $a Chemistry. $3 516420
650 4 $a Nanoscience. $3 587832
650 4 $a Environmental engineering. $3 548583
653 $a Engineered nanoparticles
653 $a Methylene blue
653 $a Size detection limit
690 $a 0485
690 $a 0565
690 $a 0775
710 2 $a Arizona State University. $b Civil, Environmental and Sustainable Engineering. $3 3289089
773 0 $t Dissertations Abstracts International $g 80-03B.
790 $a 0010
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10845783