Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…

A new app, freely available for Windows computers, has been developed to simulate tuning of an inductively coupled plasma mass spectrometer, on the basis of optimization data collected using a sector-field instrument. The app allows students to adjust parameters, including the torch position, gas flows, radio-frequency power, and guard-electrode…

Nuclear magnetic resonance (NMR) spectroscopy has become one of the most powerful technologies to aid research in numerous scientific disciplines. With the development of consumer electronics, mobile devices have played increasingly important roles in our daily life. However, there is currently no application available for mobile devices able to…

Reviews three functions performed by modern computing integrators: (1) data acquisition; (2) data processing; and (3) communication. Also shows with examples how new electronic components enhance the functions of this popular analytical instrument in those areas. (JN)

A gas chromatography (GC) mass spectroscopy (MS) system recently developed by Hewlett-Packard (HP-5987 GC/MS/Data System) is described, illustrating the technological advances that have been achieved with the system. Examples of the data processing and output process are provided to demonstrate the capabilities and application of the system to…

A laboratory computer system based on the Commodore PET 2001 is described including three applications for the undergraduate analytical chemistry laboratory: (1) recording a UV-visible absorption spectrum; (2) recording and use of calibration curves; and (3) recording potentiometric data. Lists of data acquisition programs described are available…

Discusses chemometrics (analysis of data from chemical measurements), tracing developments in this area and summarizing reasons for teaching chemometrics. Includes highlights of presentations given at a symposium (Interpreting Complex Chemical Data: Teaching Chemometrics) and brief descriptions of chemometric methods. (JN)