Performance Evaluation and Thermodynamic Studies for the Simultaneous Cloud Point Extraction of Erythrosine and Tartrazine Using Mixed Micelles in Food Samples

Nambiar, Anargha P.; Sanyal, Mallika; Shrivastav, Pranav S.

doi:10.1007/s12161-017-0923-1

Cited by 27 publications

(2 citation statements)

References 26 publications

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“… water and soil Triton X-114 HPLC-UV 16–10 000 water: 3.5 soil: 4.0 water: 11.0 soil: 13.0 water: 93–99 soil: 86–94 [ 43 ] river water Triton X-114 HPLC-DAD 1–50 0.1–0.3 0.4–0.9 86–132 [ 8 ] milk Triton X-114 HPLC-UV 50–2000 6.8–11.2 22.6–37.3 71–97 [ 1 ] water, soil and vegetables PEG-6000 HPLC-UV 1–10 000 water: 0.04–5.8 soil: 0.1–1.4 vegetables: 0.1–1.5 n.a. water: 85–91 soil: 84–93 vegetables: 84–92 [ 44 ] food Triton X-100 and CTAB UV–Vis 50–500 11.2–13.3 37.2–44.3 97–104 [ 45 ] milk OFX 0309 UV–Vis 5–2000 1.1–1.2 3.5–4.1 81–108 this method …”

Section: Resultsmentioning

confidence: 99%

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

et al. 2018

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A new cloud point methodology was successfully used for the extraction of carcinogenic pesticides in milk samples as a prior step to their determination by spectrophotometry. In this work, non-ionic silicone surfactant, also known as 3-(3-hydroxypropyl-heptatrimethylxyloxane), was chosen as a green extraction solvent because of its structure and properties. The effect of different parameters, such as the type of surfactant, concentration and volume of surfactant, pH, salt, temperature, incubation time and water content on the cloud point extraction of carcinogenic pesticides such as atrazine and propazine, was studied in detail and a set of optimum conditions was established. A good correlation coefficient (R2) in the range of 0.991–0.997 for all calibration curves was obtained. The limit of detection was 1.06 µg l−1 (atrazine) and 1.22 µg l−1 (propazine), and the limit of quantitation was 3.54 µg l−1 (atrazine) and 4.07 µg l−1 (propazine). Satisfactory recoveries in the range of 81–108% were determined in milk samples at 5 and 1000 µg l−1, respectively, with low relative standard deviation, n = 3 of 0.301–7.45% in milk matrices. The proposed method is very convenient, rapid, cost-effective and environmentally friendly for food analysis.

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Section: Resultsmentioning

confidence: 99%

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

et al. 2018

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“…Therefore, various analytical methods combined with UV-Vis spectrometry such as cloud point extraction (CPE) (Karatepe et al, 2017;Pourreza and Zareian, 2009), dispersive liquid-liquid micro extraction (DLLME) (Bazregar et al, 2018) and solid-phase extraction (SPE) (Yu and Fan, 2016) have been developed for determination of food dyes. CPE is a separation, purification and enrichment procedure which has been widely applied for detection and determination of trace harmful substance in different matrixes such as heavy metal ions (Li et al, 2017) and dyes (Heidarizadi and Tabaraki, 2016;Nambiar et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Cloud Point Extraction and Spectrophotometric Determination of Allura Red (E129) in Foodstuffs

Bişgin

2018

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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A new cloud point extraction method was developed for preconcentration of allura red food dye as a prior step to its spectrophotometric determination by UV-Vis spectrometry. Allura red was determined at 506 nm. Extraction parameters such as H 2 SO 4 and surfactant concentrations, equilibration time and temperature were investigated and optimized. Interference efects of matrix components were investigated. Preconcentration factor of the method was obtained as 25. The relative standard deviations of the method were lower than 6%. Detection limit and quantitation limit of the method were determined as 3.0 and 8.5 ng mL -1 , respectively. Linear calibration curve was plotted in the range of 0-6 μg mL -1 . Finally, the method was successfully applied to foodstuffs to determine the allura red contents of energy drink, candy, drink powder, syrup and jelly samples. Allura red concentrations of foodstuffs were determined between 9-499 μg g -1 and 47-231 μg mL -1 for solid and liquid samples, respectively.ÖZET: Allura kırmızısı gıda boyasının UV-Vis spektrometresi ile spektrofotometrik tayini öncesi ön deriştirme basamağı olarak yeni bir bulutlanma noktası ekstraksiyon metodu geliştirilmiştir. Allura red 506 nm'de tayin edilmiştir. H 2 SO 4 ve yüzey aktif madde konsantrasyonu, denge zamanı ve sıcaklığı gibi ekstraksiyon parametreleri incelenmiş ve optimize edilmiştir. Matris bileşenlerinin analize girişim etkisi incelendi. Metodun zenginleştirme faktörü 25 olarak saptandı. Metodun bağıl standart sapması 6% değerinin altında bulunmuştur. Metodun gözlenebilme ve tayin sınır değerleri sırası ile 3.0 ve 8.5 ng mL -1 olarak tayin edilmiştir. 0 ile 6 μg mL -1 değerleri arasında doğrusal kalibrasyon eğrisi çizilmiştir. Son olarak, metot, allura kırmızı boyası içeriğini tayin etmek amacıyla allura kırmızısı boyası içeren enerji içeceği, şeker, meşrubat tozu, şurup ve jöle örneklerine uygulanmıştır. Katı ve sıvı gıda maddeleri örneklerinin allura kırmızısı konsantrasyonları sırası ile 9-499 μg g -1 ve 47-231 μg mL -1 değerleri arasında tayin edilmiştir.Anahtar Kelimeler: Allura kırmızısı, bulutlanma noktası ekstraksiyonu, gıdalar, spektrofotometri.

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Co-detection of carmoisine and tartrazine by carbon paste electrode modified with ionic liquid and MoO3/WO3 nanocomposite

et al. 2021

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Performance Evaluation and Thermodynamic Studies for the Simultaneous Cloud Point Extraction of Erythrosine and Tartrazine Using Mixed Micelles in Food Samples

Cited by 27 publications

References 26 publications

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

Determination of carcinogenic herbicides in milk samples using green non-ionic silicone surfactant of cloud point extraction and spectrophotometry

Cloud Point Extraction and Spectrophotometric Determination of Allura Red (E129) in Foodstuffs

Co-detection of carmoisine and tartrazine by carbon paste electrode modified with ionic liquid and MoO3/WO3 nanocomposite

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