Chromium speciation by the combination of high-performance liquid chromatography and inductively coupled plasma-optical emission spectrometry


Erarpat S., Demir C., Oner M., Bakırdere S.

ENVIRONMENTAL MONITORING AND ASSESSMENT, vol.194, no.10, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 194 Issue: 10
  • Publication Date: 2022
  • Doi Number: 10.1007/s10661-022-10395-z
  • Journal Name: ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, Greenfile, MEDLINE, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Chromium, Speciation analysis, Environmental samples, HPLC, ICP-OES, HPLC-ICP-MS, CR(III), CR(VI), WATER, VALIDATION, SEPARATION, METAL, OES
  • Yıldız Technical University Affiliated: Yes

Abstract

A hyphenated instrumental method high-performance liquid chromatography-inductively coupled plasma-optical emission spectrometry (HPLC-ICP-OES) was used for the separation and determination of Cr(III) and Cr(VI). After the chromatographic separation of chromium species by anion exchange column, their spectrophotometric detection was carried out by ICP-OES system. Important instrumental and chromatographic parameters were investigated via univariate optimization approach to obtain high signal to noise ratio and good resolution for chromium species. Under the optimum HPLC-ICP-OES conditions, limit of detection (LOD) values for Cr(III) and Cr(VI) were found to be 0.27 and 0.05 mg/kg, respectively. In addition, accuracy and applicability of developed method were checked by recovery experiments performed with the spiked soil, grass, and water samples. High percent recovery results (88-104%) were achieved by utilizing matrix matching calibration strategy for the selected samples. The results showed that this method was accurate and applicable to soil, grass, and water samples.