Ion chromatographic method development for monitoring of seawater quality used in over-the-counter pharmaceutical industry
A methodology is developed for the analysis of inorganic anions (fluoride, chloride, bromide, sulphate) in seawater used for over‐the‐counter (OTC) nasal spray production. The eluent flow rate and concentration of eluent competing ions are optimised by using an artificial neural network resolution m...
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| Veröffentlicht in: | Journal of separation science 2005-08, Vol.28 (13), p.1476-1484 |
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| container_end_page | 1484 |
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| container_issue | 13 |
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| container_title | Journal of separation science |
| container_volume | 28 |
| creator | Bolanča, Tomislav Cerjan-Stefanović, Štefica Regelja, Melita Štanfel, Danijela |
| description | A methodology is developed for the analysis of inorganic anions (fluoride, chloride, bromide, sulphate) in seawater used for over‐the‐counter (OTC) nasal spray production. The eluent flow rate and concentration of eluent competing ions are optimised by using an artificial neural network resolution model in combination with normalised resolution product criterion function. The developed artificial neural network resolution model shows good predictive ability R 2 ⪈ 0.9973. The determined ion chromatographic parameters enable baseline separation of all components of interest. By performing a validation procedure and a number of statistical tests, it is shown that the developed ion chromatographic method has superior performance characteristics: linearity R 2 ⪈ 0.9993, recovery = 99.77–100.65%, repeatability RSD ⪇ 1.85%. This result proves that the proposed method can be used for routine quality assurance analysis in OTC pharmaceutical industry. |
| doi_str_mv | 10.1002/jssc.200400054 |
| format | Article |
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The eluent flow rate and concentration of eluent competing ions are optimised by using an artificial neural network resolution model in combination with normalised resolution product criterion function. The developed artificial neural network resolution model shows good predictive ability R 2 ⪈ 0.9973. The determined ion chromatographic parameters enable baseline separation of all components of interest. By performing a validation procedure and a number of statistical tests, it is shown that the developed ion chromatographic method has superior performance characteristics: linearity R 2 ⪈ 0.9993, recovery = 99.77–100.65%, repeatability RSD ⪇ 1.85%. 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By performing a validation procedure and a number of statistical tests, it is shown that the developed ion chromatographic method has superior performance characteristics: linearity R 2 ⪈ 0.9993, recovery = 99.77–100.65%, repeatability RSD ⪇ 1.85%. This result proves that the proposed method can be used for routine quality assurance analysis in OTC pharmaceutical industry.</abstract><cop>Weinheim</cop><pub>WILEY-VCH Verlag</pub><pmid>16158989</pmid><doi>10.1002/jssc.200400054</doi><tpages>9</tpages></addata></record> |
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| ispartof | Journal of separation science, 2005-08, Vol.28 (13), p.1476-1484 |
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| language | eng |
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| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Chromatography, Ion Exchange - methods Drug Industry - standards Environmental Monitoring - methods Ion chromatography Nerve Net Over-the-counter pharmaceutical industry Pharmaceutical Preparations - standards Reproducibility of Results Seawater Seawater - analysis |
| title | Ion chromatographic method development for monitoring of seawater quality used in over-the-counter pharmaceutical industry |
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