Application of standard addition methodology for the determination of banned azo dyes in different leather types

Ahlström, Lars-Henric; Raab, Johan; Mathiasson, Lennart

doi:10.1016/j.aca.2005.07.048

Cited by 20 publications

(11 citation statements)

References 10 publications

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“…Aromatic amines. Predominantly used in dyes (e.g., Acid Red, Red 9 and 22, and D&C Red 21, 21L, and 22) (Abe et al 2016;Fautz et al 2002) and pigments (including hair dyes, mascara, tattoo ink, toners, paints) (Anezaki et al 2015;Clarke and Anliker 1980), polyurethane production, polymeric resins, corrosion inhibitors, rubber vulcanization accelerators, PEs, and pharmaceuticals (Ahlström et al 2005;Anezaki et al 2015;Trier et al 2010;Weisz et al 2004;Yavuz et al 2016). AAs have been reported in tobacco smoke; however, the AAs listed in this panel were also found in consumer products that are used by children and mothers.…”

Section: Creating Chemical Panelsmentioning

confidence: 99%

Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research

Pellizzari

Woodruff

Boyles

et al. 2019

Environ Health Perspect

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BACKGROUND: The National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) initiative aims to understand the impact of environmental factors on childhood disease. Over 40,000 chemicals are approved for commercial use. The challenge is to prioritize chemicals for biomonitoring that may present health risk concerns. OBJECTIVES: Our aim was to prioritize chemicals that may elicit child health effects of interest to ECHO but that have not been biomonitored nationwide and to identify gaps needing additional research. METHODS: We searched databases and the literature for chemicals in environmental media and in consumer products that were potentially toxic. We selected chemicals that were not measured in the National Health and Nutrition Examination Survey. From over 700 chemicals, we chose 155 chemicals and created eight chemical panels. For each chemical, we compiled biomonitoring and toxicity data, U.S. Environmental Protection Agency exposure predictions, and annual production usage. We also applied predictive modeling to estimate toxicity. Using these data, we recommended chemicals either for biomonitoring, to be deferred pending additional data, or as low priority for biomonitoring. RESULTS: For the 155 chemicals, 97 were measured in food or water, 67 in air or house dust, and 52 in biospecimens. We found in vivo endocrine, developmental, reproductive, and neurotoxic effects for 61, 74, 47, and 32 chemicals, respectively. Eighty-six had data from high-throughput in vitro assays. Positive results for endocrine, developmental, neurotoxicity, and obesity were observed for 32, 11, 35, and 60 chemicals, respectively. Predictive modeling results suggested 90% are toxicants. Biomarkers were reported for 76 chemicals. Thirty-six were recommended for biomonitoring, 108 deferred pending additional research, and 11 as low priority for biomonitoring. DISCUSSION: The 108 deferred chemicals included those lacking biomonitoring methods or toxicity data, representing an opportunity for future research. Our evaluation was, in general, limited by the large number of unmeasured or untested chemicals.

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Section: Creating Chemical Panelsmentioning

confidence: 99%

Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research

Pellizzari

Woodruff

Boyles

et al. 2019

Environ Health Perspect

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“…The literature also describes examples for the determination of aromatic amines in environmental samples [ 15 , 16 , 17 , 18 ], foods [ 19 , 20 ], biological fluids [ 21 , 22 , 23 ] and from treatments leading to partial degradation of azo dyes [ 24 , 25 , 26 , 27 , 28 , 29 ]. As a disadvantage, they have high detection limits and need long pre-concentration processes for a good sensitivity, and derivatization processes to enhance the volatility of these amines when analyzed by gas chromatography, for instance.…”

Section: Introductionmentioning

confidence: 99%

Effect of Ionic Liquid on the Determination of Aromatic Amines as Contaminants in Hair Dyes by Liquid Chromatography Coupled to Electrochemical Detection

Lizier

Zanoni

2012

Molecules

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The room temperature ionic liquid (IL) 1-butyl-3-methylimidazolium bis-(trifluorometanesulfonyl)imide BMIm[NTf2] was used as a novel medium for improvement of separation and quantization of 16 aromatic amines typically present as contaminants in consumer products and detected by HPLC coupled to an electrochemical detector. The aromatic amines, namely 4,4'-diaminodiphenylmethane, 4-chloroaniline, 2-methoxy-5-methyl-aniline, 3,3'-dimethylbenzidine, 2,4-diaminotoluidine, 2-chloro-4-nitroaniline, 4,4'-oxydianiline, aniline, 3,3'-dichlorobenzidine, benzidine, 4-aminobiphenyl, o-dianisidine, o-anisidine, o-toluidine, 4,4'-methylene-bis-2-chloroaniline and 2-naphthyl-amine are oxidized in methanol/BMIm[NTf2] at a potential around +0.68V to +0.93V vs. Ag/AgCl at a glassy carbon electrode, which is the base for their determination by HPLC/ED. Using the optimized conditions of methanol/BMIm[NTf2] 70:30 (v/v) as mobile phase, flow-rate of 0.8 mL·min−1, column CLC-ODS, Eap = +1.0 V and T = 40 °C analytical curves were constructed for each of the tested amines. Good linearity was obtained in the concentration range of 1.09 mg·L−1 to 217 mg·L−1, with excellent correlation coefficients. The limits of detection reached 0.021 mg·L−1 to 0.246 mg·L−1 and good relative standard deviations (RSD, n = 3) were obtained from the measurements. Satisfactory recovery for each aromatic amine was achieved, ranging from 95 to 103%. The developed method was successfully applied to determine six aromatic amines present as contaminants in commercial hair dye samples.

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“…The other analytical techniques have been described in the literature for the determination of aromatic amines in environmental samples [6,[22][23][24], aqueous food simulants [25,26], biological fluids [27-29,] and aromatic amines released from azo colorants [6,[30][31][32][33][34]. GC-MS has been recognised as the method of choice for the analysis of aromatic amines in hair dye and henna samples, due to the high efficiency of GC in separation and superior capacity of MS in structural identification.…”

Section: Introductionmentioning

confidence: 99%

Determination of aromatic amines in hair dye and henna samples by ion-pair extraction and gas chromatography–mass spectrometry

Akyüz

Ata

2008

Journal of Pharmaceutical and Biomedical Analysis

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Application of standard addition methodology for the determination of banned azo dyes in different leather types

Cited by 20 publications

References 10 publications

Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research

Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research

Effect of Ionic Liquid on the Determination of Aromatic Amines as Contaminants in Hair Dyes by Liquid Chromatography Coupled to Electrochemical Detection

Determination of aromatic amines in hair dye and henna samples by ion-pair extraction and gas chromatography–mass spectrometry

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