SPE and HPLC monitoring of 17-β-estradiol in Egyptian aquatic ecosysetms

Khattab, Rafat A.; Elnwishy, Nagwa; Hannora, A.; Hedström, Martin; Mattìasson, Bo; Omran, H.; Alharbi, Omar M.L.; Ali, Imran

doi:10.1080/10826076.2016.1174712

Cited by 17 publications

(14 citation statements)

References 40 publications

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“…The River Nile is the crucial life artery of Egypt, as it is the main source of freshwater for irrigation, industry, domestic uses, a source of power from the hydroelectric generation facility at Aswan, and a mean of transportation for goods and people (Afifi et al 2016). The River Nile enters Egypt at Adindan village of Nubia (where lake Nasser started) and runs northward till Cairo for about 1188 km.…”

Section: Introductionmentioning

confidence: 99%

Batch and continuous removal of heavy metals from industrial effluents using microbial consortia

Migahed

Abdelrazak

Fawzy

2016

Int. J. Environ. Sci. Technol.

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Bio-removal of heavy metals, using microbial biomass, increasingly attracting scientific attention due to their significant role in purification of different types of wastewaters making it reusable. Heavy metals were reported to have a significant hazardous effect on human health, and while the conventional methods of removal were found to be insufficient; microbial biosorption was found to be the most suitable alternative. In this work, an immobilized microbial consortium was generated using Statistical Design of Experiment (DOE) as a robust method to screen the efficiency of the microbial isolates in heavy metal removal process. This is the first report of applying Statistical DOE to screen the efficacy of microbial isolates to remove heavy metals instead of screening normal variables. A mixture of bacterial biomass and fungal spores was used both in batch and continuous modes to remove Chromium and Iron ions from industrial effluents. Bakery yeast was applied as a positive control, and all the obtained biosorbent isolates showed more significant efficiency in heavy metal removal. In batch mode, the immobilized biomass was enclosed in a hanged tea bag-like cellulose membrane to facilitate the separation of the biosorbent from the treated solutions, which is one of the main challenges in applying microbial biosorption at large scale. The continuous flow removal was performed using fixed bed mini-bioreactor, and the process was optimized in terms of pH (6) and flow rates (1 ml/min) using Response Surface Methodology. The most potential biosorbent microbes were identified and characterized. The generated microbial consortia and process succeeded in the total removal of Chromium ions and more than half of Iron ions both from standard solutions and industrial effluents. Keywords Waste water treatment Á Biosorption Á Microbial consortium Á Bioreactor Á Design of experiment Á Microbial immobilization Editorial responsibility: Xu Han.

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Section: Introductionmentioning

confidence: 99%

Batch and continuous removal of heavy metals from industrial effluents using microbial consortia

Migahed

Abdelrazak

Fawzy

2016

Int. J. Environ. Sci. Technol.

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“…The DAD offers the advantage of scanning the UV absorption spectrum at any point of the eluting compound and hence helps to assess the peak purity. This technique was previously used in the determination of estrogens in fishery samples [20,24], pork and chicken [21], dairy and meat samples [22], and milk samples [23].…”

Section: Optimization Of Hplc Conditionsmentioning

confidence: 99%

“…LC-MS/MS is characterized by its sensitivity and selectivity, and is thus widely used in biological analysis. HPLC with UV [20][21][22][23][24] or fluorescence [25,26] detection has also been used in food analysis and it is considered advantageous for its lower cost and ease of operation, relative to the more sophisticated LC-MS/MS instrument.…”

Section: Introductionmentioning

confidence: 99%

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Development and validation of a high performance liquid chromatography/diode array detection method for estrogen determination: Application to residual analysis in meat products

et al. 2020

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In this work, an HPLC-DAD method was developed for the residual analysis of some estrogens such as estrone (E1), 17-β estradiol (E2), estriol (E3), natural estrogens, and 17-α ethinylestradiol (E4), an exoestrogen, in meat samples of different categories (chicken, n = 155, beef, n = 124, sheep, n = 122, and camels, n = 40), collected from the Saudi Market. Although banned, the use of E4 as a growth promoter in the black market is still encountered. Symmetry C18 column (3.5 µm, 4.6 mm × 150 mm) was used with a mobile phase consisting of 50% aqueous acetonitrile. Protein precipitation with acetonitrile was used for the sample preparation. The method was fully validated, as per the ICH guidelines, in the concentration ranges of 0.35–125 µg/g (E1, E2), 0.188–125 µg/g (E3), and 0.188–450 µg/g (E4). The method allowed the trace analysis of estrogens with LOD values of 0.094 (E3, E4) and 0.126 µg/g (E1, E2), and LOQ values of 0.188 (E3, E4) and 0.350 µg/g (E1, E2). The analyzed samples contained different levels of estrogens. Within the same category, processed products contained the highest levels of E4, while the internal organs contained the least estrogen content. Finally, the estimated daily intake, µg/kg bw/day, of estrogens through the consumption of meat-based food products was calculated.

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“…Currently, high-performance liquid chromatography (HPLC), liquid chromatographytandem mass spectrometry (LC-MS/MS), and gas chromatography-mass spectrometry (GC-MS) represent the primary analytical methods used for E 2 detection (Afifi et al, 2016;Choi, Kim, & Chung, 2000;Torres et al, 2015;Wang, Yan, Yang, Li, & Qiao, 2016). Although these methods are highly sensitive and specific, conventional oestrogen-residue analyses comprise complex, time-consuming, and high-cost techniques required for sample extraction and cleaning, making them unsuitable for screening high-throughput samples.…”

Section: Introductionmentioning

confidence: 99%

Production of antibodies and development of an enzyme-linked immunosorbent assay for 17β-estradiol in milk

Bai

Liu

et al. 2017

Food and Agricultural Immunology

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The residue of 17β-estradiol (E 2) in milk could potentially lead to the occurrence of various reproductive diseases; therefore, a rapid and sensitive method for monitoring E 2 residues in milk was highly necessary. In this study, we produced new polyclonal and monoclonal antibodies using E 2-3-O-carboxymethyl ether as a hapten and developed an indirect competitive enzyme-linked immunosorbent assay (icELISA) for the detection of E 2 in milk. The results showed that the sensitivity of polyclonal antibody was higher than that of monoclonal antibody, providing a half maximum inhibition concentration (IC 50) against E 2 of 0.17 ng/mL, high cross-reactivity (CR) to E 2 benzoate (150%) and oestriol (18.02%), and negligible CR with other oestrogen compounds. Under optimized conditions, the developed icELISA based on the polyclonal antibody had a limit of detection values of 0.093 μg/L, which was enough sensitive to detect E 2 in milk. In spiked samples (0.5, 1, and 2 μg/L), the recoveries ranged from 83.12% to 94.58% with coefficients of variation <12.8%. These results indicated that the icELISA method we developed was suitable for screening of E 2 residue in milk.

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SPE and HPLC monitoring of 17-β-estradiol in Egyptian aquatic ecosysetms

Cited by 17 publications

References 40 publications

Batch and continuous removal of heavy metals from industrial effluents using microbial consortia

Batch and continuous removal of heavy metals from industrial effluents using microbial consortia

Development and validation of a high performance liquid chromatography/diode array detection method for estrogen determination: Application to residual analysis in meat products

Production of antibodies and development of an enzyme-linked immunosorbent assay for 17β-estradiol in milk

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