Analytical Data Interchange

ASTM International, Standard specification for analytical data interchange protocol for chromatographic data. Tech. Rep. E1947-98, ASTM, West Conshohocken, PA (1998). 

In 2009, ASTM Standard E1947-98 (2009) Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data has been published by the ASTM. The specified objectives of this standard are... 

Matthews, L. and Miller, T. (2000) ASTM protocols for analytical data interchange. Journal of Laboratory Automation, 5, 60, http //jla.sagepub. com/content/5/5/60.full (accessed 28 December 2015). 

The electronic notebook space approaches will only work effectively if the new form of notebook is kept in a way that promotes understandability by other persons. This requires a consistent, logical, and complete presentation of all work. Carefully crafted abstracts are necessary. An annotated dictionary of terms is essential. Some degree of standardization in format is required. And adherence to a common data format, such as the Analytical Data Interchange Standard/Analytical Instrument Manufacturers Association (ADISS/AIM) standard, would be helpful. However, the new electronic journal needs to be much more if it is to serve individual, group, and corporate needs in unique ways. The future is a foreign country, they do things differently there. 

The Analytical Instrument Association (AIA) created a netCDF-based Analytical Data Interchange (ANDI) format for chromatography that received widespread acceptance. After this success, the AIA adopted a standard for mass spectroscopy in 1993 and began definitions for infrared and NMR. This mass spectroscopy standard, although supported by a few vendors, has not received wide usage and the infrared and NMR definitions have not been implemented. 

Integral PFR data cannot be used directly in this way, since one has a differential equation that describes the conversion profile along the catalyst bed (eq 2). For simple cases this can be integrated analytically, yielding an implicit expression in the observed variable (eq S). Sometimes the independent variable W/Ff is now used as observed variable and its SSR minimized [9], but this interchange of dependent and independent variable destroys the error properties and the parameter error limits are not correct. Often the parameter estimates correspond well [9] and can be used as starting guesses for more robust minimization to determine the real error bounds. 

As illustrated in labic 12-1, most analytically im-p(.)itant X-ray lines lie in the region between about O.I and to. V The data in Table 12-3, however, lead to the conclusion that no single crystal satisfactorily disperses radiation over this entire range. As a result, an, -ray nionoclironialor must be provided with a least two (and preferably more) interchangeable crystals. 

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