Characterization of Airborne Dust from Cast Iron Foundries by Physico-Chemical Methods and Multivariate Statistical Analyses

Michaud, Daniel; Baril, Marcel; Perrault, G.

doi:10.1080/1073161x.1993.10467154

Cited by 17 publications

(10 citation statements)

References 7 publications

(8 reference statements)

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“…41 has been applied to analyze the static SIMS spectra of organic 42 -44 and inorganic samples. 45,46 PCA reduces the dimensionality of the multivariate SIMS data by finding new axes (which are linear combinations of all of the original variables) called principal components (PCs), which capture the greatest amounts of variation in the data set. Ideally, a few PCs (i.e.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part A: data acquisition and principal component analysis (PCA)

Suzuki

Gamble

Tamerler

et al. 2007

Surface & Interface Analysis

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Recent progress in the adaptation of combinatorial biology selection protocols to materials science has created a new class of polypeptides with specific affinity to inorganics. Here, we use one of the genetically engineered proteins, a gold binding protein (GBP-1), to assess quantitatively its binding specificity to Au, Ag and Pd surfaces by using time-of-flight secondary ion mass spectroscopy (TOF-SIMS). The GBP-1, originally selected using cell-surface display techniques, consisting of 14 amino acids with a sequence of MHGKTQATSGTIQS, was used in this study. Three-repeat and single-repeat forms of GBP-1 were prepared. In earlier studies, GBP-1 was shown to bind to Au particles and self-assemble on flat Au surfaces. Through the fingerprint analysis of these specific peptides, their role in binding can be investigated in terms of their contribution to surface interaction possibly forming the right molecular architecture for binding. To achieve this purpose, a large-sized data matrix produced by TOF-SIMS must be properly treated for analysis. In Part A, we use principal component analysis (PCA) to visualize the spectral variations for a variety of adsorption conditions and suggest possible contribution of the specific types of amino acids (binding site) to the interactions.

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Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part A: data acquisition and principal component analysis (PCA)

Suzuki

Gamble

Tamerler

et al. 2007

Surface & Interface Analysis

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“…Physicochemical characterization of airborne dust from three cast iron foundries was subjected to PCA and cluster analysis. A relationship was uncovered between chemical composition and particulate size as well as foundry operating schedules (1127). Sarker et al reported the results of a study comparing SIMCA and a library searching method for the identification of hazardous compounds from mass spectra (1128).…”

Section: Paltern Recognitionmentioning

confidence: 99%

Chemometrics

Brown¹,

Blank²,

Sum³

et al. 1994

Anal. Chem.

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“…Despite its importance, very few studies have addressed the surface chemistry of urban air particulates. The surface chemistry of industrial emissions 10,11 and individual particles 12,13 have been investigated, as has surface enrichment of industrial and urban particulates, 14 but none have characterised surfaces of particles as a function of local environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Assessment of X-ray photoelectron spectroscopy for analysis of particulate pollutants in urban air

Hutton

Williams

2000

Analyst

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XPS was used to determine hourly and seasonal changes in urban airborne airborne particulates collected in London, UK. Particles were collected on a Burkard spore trap and on PTFE filters for hourly and daily readings, respectively, at periods during the summer and winter. Analysis within 24 h of collection was advisable to avoid build-up of surface contamination from the atmosphere. Carbon and oxygen species dominated the particulate surface with traces of Na+, Mg2+, Ca2+, SiO2, Cl-, NH4+, NO3- and SO4(2-) present. Major species could not be identified on particles collected by the Burkard spore trap as the peaks from the particles coincided with peaks from the tape in the O 1s and C 1s regions. In addition, particle loads were insufficient to establish changes in surface chemistry of the remaining trace species on an hourly basis. Carbon species could be identified for particles collected on PTFE filters as the binding energies for particles and PTFE are separated by 8 eV in the C 1s region. Three regions were identified, namely C-H/C-C, C-O/C-N and C=O/COO-. There was evidence of higher levels of soot during the winter due to more anthropogenic activity, which is in agreement with other data. Fe was a major element detected by electron probe microanalysis in the bulk of winter particles but not on the surface, implying an organic coating on the particles sufficiently thick (> 2 nm) to absorb the Fe photoelectrons.

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Characterization of Airborne Dust from Cast Iron Foundries by Physico-Chemical Methods and Multivariate Statistical Analyses

Cited by 17 publications

References 7 publications

Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part A: data acquisition and principal component analysis (PCA)

Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part A: data acquisition and principal component analysis (PCA)

Chemometrics

Assessment of X-ray photoelectron spectroscopy for analysis of particulate pollutants in urban air

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