𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Quality Control in Element Analysis of Plant Materials

✍ Scribed by E. Andrási; N. Szoboszlai; S. Igaz; K. Tóth

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
80 KB
Volume
58
Category
Article
ISSN
0026-265X

No coin nor oath required. For personal study only.

✦ Synopsis

A worldwide laboratory intercomparison was organized by the International Atomic Energy Agency's Analytical Quality Control Services (AQCS) involving the determination of elements in plant materials used for human consumption. The main purpose of this work was to evaluate the performance of our analytical methods including sample preparation and to obtain new reference materials that can be used in our further work. Both materials (spinach and cabbage) were analyzed by inductively coupled plasma atomic emission spectrometry (ICP-AES) and instrumental neutron activation analysis (INAA). Six subsamples of each material were subjected to our digestion procedure and the solutions were measured by ICP-AES. The dried samples were analyzed using INAA. Up to 26 elements were determined in plant materials. For easy review of our data a score has been calculated based on the reference value for each measured element. According to our results the ICP-AES technique was useful for determination of the following elements:

📜 SIMILAR VOLUMES

Certified reference materials for the qu
Certified reference materials for the quality control of trace elements in plants: white clover (CRM 402)
✍ Philippe Quevauviller; Kristien Vercoutere; Bernard Griepink 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 639 KB

Analyses of plants are routmely performed by a number of organizations to determme elements of nutntlve Importance and of potential toxlaty, e g , heavy metals To control the quahty of such determmatlons, the Commumty Bureau of Reference has produced a senes of reference matenals certlfled for a Hrl

Inferential product quality control of a
Inferential product quality control of a multistage batch plant
✍ Jay H. Lee; Andrew W. Dorsey; Stephen Russell 📂 Article 📅 2004 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 263 KB

## Abstract A modeling framework is developed that addresses the connectivity of a particular, but commonplace, batch plant configuration. Traditional inferential model building techniques such as partial least squares (PLS) and subspace identification are modified to allow for the identification o