High current-density anodic electro-dissolution in flow-injection systems for the determination of aluminium, copper and zinc in non-ferroalloys by flame atomic absorption spectrometry

Citation
Ca. Giacomozzi et al., High current-density anodic electro-dissolution in flow-injection systems for the determination of aluminium, copper and zinc in non-ferroalloys by flame atomic absorption spectrometry, J AUTOM M M, 21(1), 1999, pp. 17-22
Citations number
26
Categorie Soggetti
Spectroscopy /Instrumentation/Analytical Sciences
Journal title
JOURNAL OF AUTOMATED METHODS & MANAGEMENT IN CHEMISTRY
ISSN journal
14639246 → ACNP
Volume
21
Issue
1
Year of publication
1999
Pages
17 - 22
Database
ISI
SICI code
1463-9246(199901/02)21:1<17:HCAEIF>2.0.ZU;2-U
Abstract
An automatic Procedure with a high current-density anodic electrodissolutio n unit (HDAE) is proposed for the determination of aluminium, copper and zi nc in non-ferroalloys by flame atonic absorption spectrometry, based on the direct solid analysis. It consists of solenoid valve-based commutation in a flow-injection system for on-line sample electro-dissolution and calibrat ion with one multi-element standard, an electrolytic cell equipped with two electrodes (a silver needle acts as cathode, and sample as anode), and an intelligent unit. The latter is assembled in a PC-compatible microcomputer for instrument control, and far data acquisition and processing. General ma nagement of the process is achieved by use of software written in Pascal. E lectrolyte compositions, flow rates, commutation times, applied current and electrolysis time mere investigated. A 0.5 mol l(-1) HNO3 solution was ele cted as electrolyte and 300 A/cm(2) as the continuous current pulse. The pe rformance of the proposed system was evaluated by analysing aluminium in Al -allay samples, and copper/zinc in brass and bronze samples, respectively. The system handles about 50 samples per hour. Results are precise (R.S.D < 2%) and in agreement with those obtained by ICP-AES and spectrophotometry a t a 95% confidence level.