Allergen Source Materials and Quality Control of Allergenic Extracts

Robert E Esch

doi:10.1006/meth.1997.0491

Allergen Source Materials and Quality Control of Allergenic Extracts

Methods ◽

10.1006/meth.1997.0491 ◽

1997 ◽

Vol 13 (1) ◽

pp. 2-13 ◽

Cited By ~ 45

Author(s):

Robert E Esch

Keyword(s):

Quality Control ◽

Allergen Source ◽

Allergenic Extracts ◽

Source Materials

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Quality control of non-standardized allergenic extracts*1Major allergen and IgE binding of birch, English plantain and olive pollen

Journal of Allergy and Clinical Immunology ◽

10.1016/j.jaci.2003.12.494 ◽

2004 ◽

Vol 113 (2) ◽

pp. S138

Author(s):

G PLUNKETT

Keyword(s):

Quality Control ◽

Ige Binding ◽

Allergenic Extracts ◽

Olive Pollen

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Identifying groups of airborne particles by ordination

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100172012 ◽

1994 ◽

Vol 52 ◽

pp. 856-857

Author(s):

M. Shlepr ◽

C. M. Vicroy

Keyword(s):

Elemental Analysis ◽

Energy Dispersive Spectroscopy ◽

Manufacturing Process ◽

Spatial Representation ◽

Airborne Particles ◽

Common Source ◽

Data Set ◽

Microelectronics Industry ◽

Induced Changes ◽

Source Materials

The microelectronics industry is heavily tasked with minimizing contaminates at all steps of the manufacturing process. Particles are generated by physical and/or chemical fragmentation from a mothersource. The tools and macrovolumes of chemicals used for processing, the environment surrounding the process, and the circuits themselves are all potential particle sources. A first step in eliminating these contaminants is to identify their source. Elemental analysis of the particles often proves useful toward this goal, and energy dispersive spectroscopy (EDS) is a commonly used technique. However, the large variety of source materials and process induced changes in the particles often make it difficult to discern if the particles are from a common source.Ordination is commonly used in ecology to understand community relationships. This technique usespair-wise measures of similarity. Separation of the data set is based on discrimination functions. Theend product is a spatial representation of the data with the distance between points equaling the degree of dissimilarity.

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