The search of spectral libraries is a powerful tool and represents the typical approach to identify spectra of unknown materials.
With the release of the OPUS 7.5 software the SEARCH package was completely revised including a new attractive design and strongly improved usability. New functions such as a powerful mixture analysis and the automated subtraction of a library spectrum for residual spectrum search enhance the identification power especially for multi-component spectra.
In addition to the simple and powerful info search inside spectral libraries an automated internet search of selected library info provides a comfortable way to get the most out of the identification result. As the findings of an analysis typically have to be documented in a report all search results can be exported into a clearly arranged analysis report.
Establishing standards of identity of raw materials, intermediates and products is an important task in many industries. As a common function of quality control laboratories, testing needs to insure that these standards are met for reasons of regulatory compliance and cost reduction.
Already a single miss-labeled or contaminated raw material can lead to significant costs e.g. due to necessary re-working of a product, disposal costs or loss of valuable manufacturing time. OPUS IDENT is a powerful tool to easily build identification libraries including many different materials.
Advanced algorithms and hierarchical classification structure allow both to establish the identity of a material and to confirm that it lies within the acceptable statistical range of variation, but can be distinguished from closely-related materials. The complete IDENT method is enclosed in a single method for easy implementation in QC environments.
IDENT Key Features:
Being part of the OPUS/IDENT package the conformity test uses the spectral variation between different lots of raw materials having been determined acceptable to define pass/fail thresholds at each spectral data point. A new raw material lot is deemed acceptable if its NIR spectrum lies within the individual material dependent established threshold. Any deviation in the NIR spectral intensity beyond the established threshold will give cause for the rejection of the questionable raw material.
Conformity Test Key Features: