Evaluation of Different Sudan Dyes in Egyptian Food Samples Utilizing Liquid Chromatography/Tandem Mass Spectrometry

Mohamed, Sabrein H.; Salim, Alyaa I.; Issa, Yousry M.; Atwa, M. A.; Nassar, Rihab H.

doi:10.1007/s12161-021-02036-x

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…To date, multiple targeted methods, such as microscopic techniques ( Kiani et al, 2019 ), liquid chromatography ( Campmajó et al, 2021 ), mass spectrometry ( Mohamed et al, 2021 ), and elemental fingerprint analysis ( Fiamegos et al, 2021 ), have been successfully applied for identifying adulteration of spices or herbs. Despite its high precision and stability, these analytical methods are time-consuming, laborious, and environmentally unfriendly.…”

Section: Introductionmentioning

confidence: 99%

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Guo

Zhang

et al. 2022

Food Chemistry: X

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Section: Introductionmentioning

confidence: 99%

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Guo

Zhang

et al. 2022

Food Chemistry: X

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“…ESI is one of the softest ionization methods that is used in current MS, and seems to be the most prevalent for dye analysis. In recent years, ESI has been used to better understand acid, fiber reactive, and disperse dyes in multiple matrices (Chen et al, 2022; Guerra et al, 2018; Korzun et al, 2019; Mohamed et al, 2021). In the case of fiber‐reactive dyes, these anionic molecules can be sensitively analyzed by reverse phase LC‐MS with an ion‐pairing agent, as well as through direct injection to collect only mass spectra.…”

Section: Dye Ionization Methodology and Behaviormentioning

confidence: 99%

“…| 333 an easy and sensitive method for doing so (Al Tamim et al, 2019;Chen et al, 2022;Mohamed et al, 2021;Schwack et al, 2018).…”

Section: Esimentioning

confidence: 99%

Synthetic dyes: A mass spectrometry approach and applications

Millbern

Trettin

et al. 2022

Mass Spectrometry Reviews

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Synthetic dyes are found in a wide variety of applications today, including but not limited to textiles, foods, and medicine. The analysis of these molecules is pertinent to several fields such as forensics, environmental monitoring, and quality control, all of which require the sensitivity and selectivity of analysis provided by mass spectrometry (MS). Recently, there has been an increase in the implementation of MS evaluation of synthetic dyes by various methods, with the majority of research thus far falling under electrospray ionization and moving toward direct ionization methods. This review covers an overview of the chemistry of synthetic dyes needed for the understanding of MS sample preparation and spectral results, current fields of application, ionization methods, and fragmentation trends and works that have been reported in recent years.

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“…Sensor techniques include liquid chromatography-mass spectrometry (Mohamed, Salim, Issa, Atwa, & Nassar, 2021) , gas chromatography-mass spectrometry (De Rijke et al, 2015), and low-field nuclear magnetic resonance techniques (Jiang et al, 2014), among which chromatographic analysis refers to the separation and analysis of sample components between stationary or mobile phases due to different partition coefficients and retention times. The low-field NMR technique uses the existence of a relaxation process of hydrogen atoms in water and organic matter in an applied magnetic field.…”

Section: Related Workmentioning

confidence: 99%

EnDairy: An Ensemble Learning-based Framework for Efficient Dairy Product Identification

Wang

Yan

et al. 2023

Preprint

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Food safety has been a worldwide concern, and raw materials’ adulteration is oneof the significant factors contributing to this problem. Camel milk has high nutri-tional and economic value but faces adulteration problems. With time-consuming,poor stability, and low accuracy, the existing adulteration identification frame-works are limited applications. This paper proposes an efficient dairy adulterationidentification framework (EnDairy) based on an ensemble learning algorithmto solve these problems. Specifically, samples are identified by comparing theprobabilistic prediction values obtained and the optimal threshold by data pre-processing and weak learners iteration fusion into a strong learner. In this paper,we used a batch of camel milk data to verify the effectiveness of EnDairy in realscenarios. We tested its discriminative ability for data with missing values byfeature mask. The results show that EnDairy performs well; the AUC and Recallvalues are equal and 0.986 and 0.981 for the 10% and 20% feature mask treat-ments, respectively. The time taken by the identification model is only 0.637sand 0.648s. EnDairy ensures the accuracy of identification and effectively reducesthe economic and time costs, which can provide supportive information for camelmilk regulation, promote dairy product safety, and advance health for all.

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Evaluation of Different Sudan Dyes in Egyptian Food Samples Utilizing Liquid Chromatography/Tandem Mass Spectrometry

Cited by 13 publications

References 30 publications

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Synthetic dyes: A mass spectrometry approach and applications

EnDairy: An Ensemble Learning-based Framework for Efficient Dairy Product Identification

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