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An improved leaping detector for flow analysis applied to iron speciation in drugs
- Source :
- Journal of Automated Methods and Management in Chemistry
- Publication Year :
- 2000
- Publisher :
- Hindawi Publishing Corporation, 2000.
-
Abstract
- A low inner volume (ca. 64 ml) probe was built up in an injector-commutator in order to behave as a photometric leaping detector in flow analysis. It comprises a bicolour light-emitting diode (BLED), as a source of pulsed radiation in the red and green visible region, and two phototransistors as transducers. Sample injection, detector relocation, analytical signal recording, data treatment and definition of the spectral working range were computer-controlled. The feasibility of the system was initially demonstrated in the flow-injection speciation of iron, and the overall standard deviation of results was estimated as ± 1.6 and ± 1.4% for 1.6–4.0 mg l−1Fe(II) or total iron after eightfold processing of synthetic samples. The system was further applied to drug analysis: the mean deviations of results for typical samples were estimated as ± 5.2 and ± 3.3%, and the relative standard deviation as ± 1.6 and ± 1.3% for Fe(II) and total iron, respectively. Results were compared with those obtained by a conventional spectrophotometric procedure and no statistic differences at the 95% confidence level were found. In relation to an earlier system with multi-site detection, the proposed system is more stable, presenting low drift with a relative standard deviation of 0.026% and 0.039% for measurements (n=120 during 4 h of observation) with green and red emission. It is also faster with a sampling rate of 133 h−1and carryover problems are not found. The possibility of compensating the Schlieren noise by dual-wavelength spectrophotometry is discussed.
- Subjects :
- medicine.diagnostic_test
Chemistry
Detector
Analytical chemistry
Noise (electronics)
Standard deviation
Computer Science Applications
Analytical Chemistry
Working range
Volume (thermodynamics)
Spectrophotometry
Schlieren
medicine
Chemical Engineering (miscellaneous)
Instrumentation
Research Article
Diode
Subjects
Details
- Language :
- English
- ISSN :
- 14639246
- Database :
- OpenAIRE
- Journal :
- Journal of Automated Methods and Management in Chemistry
- Accession number :
- edsair.doi.dedup.....35ba5785d68773964aae62ac6421fbca
- Full Text :
- https://doi.org/10.1155/S1463924600000092