An optimization approach for fast, simple and accurate determination of indigo-carmine in food samples

ALTUNAY N.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, cilt.257, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 257
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.saa.2021.119791
  • Dergi Adı: SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, Chemical Abstracts Core, Chimica, Compendex, EMBASE, INSPEC, MEDLINE, Veterinary Science Database
  • Anahtar Kelimeler: Indigo-carmine, Experimental modelling, Spectrophotometry, Natural deep eutectic solvents, Food samples, Central composite design, DEEP EUTECTIC SOLVENTS, CLOUD POINT EXTRACTION, SUDAN DYES, SYNTHETIC DYES, MICROEXTRACTION, PRODUCTS, MEDIA, OIL
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

This study report optimization of vortex-assisted natural deep eutectic solvent based liquid-phase microextraction (VA-NADES-LPME) for determination of indigo-carmine in some food samples by UV-Visible spectrophotometer. To ensure efficient extraction, nine different NADES were prepared and tested for the extraction of indigo-carmine. In order to increase extraction efficiency of indigo-carmine, the effects of VA-NADES-LPME variables and their interactions were optimized with central composite design. The optimized method exhibited a linear range between 10 and 900 ng mL(-1) . Limit of detection, limit of quantification and enrichment factor were determined as 3.3 ng mL(-1) , 10 ng mL(-1) and 135-fold, respectively. The applicability of the optimized method was investigated in selected food samples using the matrix-matching calibration curve. Using optimised experimental conditions (pH of 3.2, 75 mu L of NADES-4, 285 mu L of THF, and 4 min vortexing), satisfactory recovery results were found in the range of 95.9-104.2% with 1.4-3.7% of relative standard deviation. Finally, the optimized method was economical, simple, green, requires less laborious sampling, and provides superior accuracy and precision in trace-level analysis. (C) 2021 Elsevier B.V. All rights reserved.