Development and use of reference materials in India – status and plans

Future Trends for Reference Material Activity

“…Development of basic pharmaceutical reference substances now in use by the ASEAN group of countries, including Indonesia, Malaysia, Philippines, Singapore, and Thailand, and initiated by the WHO, South American projects led by Chile, Brazil, Argentina, Uruguay, and other countries to produce environmental and food based RMs, IAEA efforts related to both CRMs and others, such as hair for total mercury and methyl mercury (prepared in India), and lichen for multi-element certification (prepared in Portugal) to assist biomonitoring programs in Brazil, Chile, China, Czech Republic, India, Italy, Malaysia, Slovenia, and Vietnam, F A 0 efforts through its network of laboratories, A similar effort by Australia to activate AQC efforts and promote proficiency testing in South East Asian and Pacific Rim Regions providing RMs for organo-chlorines and phosphates in animal fat (Millar et al 1gg5), In South Asia the "DUREM" series of meetings held in India, based on the style of the BERM meetings and organized by the Indian Central Pollution Control Board, which are designed to present RM and metrology matters in the context of analytical chemistry in India (Mahwar et al 1998), Programs to provide RMs in China (Chai 1993).…”

Relative Efficiency of Single‐Outlier Discordancy Tests for Processing Geochemical Data on Reference Materials and Application to Instrumental Calibrations by a Weighted Least‐Squares Linear Regression Model

“…Notre protocole basé sur les valeurs aberrantes devrait être utile dans la recherche objective de valeurs aberrantes dans de nombreux domaines scientifiques et en ingénierie et leur interprétation correcte. Après avoir traité ces bases de données avec les tests de valeurs aberrantes discordantes et obtenu des estimations fiables de la tendance centrale et des paramètres de dispersion des Reference materials (RMs) are routinely used for quality control purposes in all sciences including the Earth sciences (e.g., Potts and Kane 1992, Quevauviller et al 1996, Dybczynski et al 1998, Mahwar et al 1998, Namiesnik and Zygmunt 1999, Vendemiatto and Enzweiler 2001, Gabrovská et al 2006, Santoyo et al 2006, Hayes et al 2007. Traditionally, the calibration of an analytical instrument has been achieved through an ordinary least-squares linear regression (OLR) model.…”