Microextraction-Colorimetric (Fluorimetric) Determination of Cationic and Anionic Surfactants in Food Products

被引:5
作者
Amelin, V. G. [1 ,2 ]
Shogah, Z. A. Ch. [1 ]
Bol'shakov, D. S. [2 ]
机构
[1] Vladimir State Univ, Vladimir 600000, Russia
[2] Fed Ctr Anim Hlth, Vladimir 600901, Russia
关键词
digital colorimetry; fluorimetry; smartphone; RGB; dispersive liquid-liquid microextraction; cationic and anionic surfactants; food products;
D O I
10.1134/S1061934821030035
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A method is proposed for the determination of cationic and anionic surfactants in food products based on the use of dispersive liquid-liquid microextraction of surfactant ion pairs with organic reagents (eosin and acridine yellow) and measurements of the colorimetric parameters of the fluorescence of extracts using a smartphone. Upon the irradiation of the extracts of ion pairs anionic surfactant-acridine yellow and cationic surfactant-eosin with ultraviolet light (365 nm), green and yellow fluorescence were observed, respectively. The analytical signal (A(r)) was the value of the colorimetric parameters in the RGB system: A(r) = root(R-0 - R-x)(2) +(G(0) - G(x))(2) +(B-0 - B-x)(2) .Procedures for determining the total amount of surfactants in food products (milk, vegetables and fruits, meat, and drinking water) are developed using an example of cetylpyridinium, myristalconium, benzalkonium, didecyldimethylammonium, alkyldimethyl(ethylbenzyl)ammonium, dodecyl sulfate and sodium alkylbenzenesulfonate chlorides. The limits of detection and quantification are in the ranges 0.005-0.05 and 0.01-0.1 mg/L, respectively. Calibration graphs are linear in the concentration range 0.01-1 mg/L with approximation confidence coefficients >= 0.99. The duration of analysis is 20-30 min; the relative standard deviation of the results of analysis does not exceed 0.24.
引用
收藏
页码:330 / 338
页数:9
相关论文
共 15 条
[1]   A green and cost-effective procedure for determination of anionic surfactants in milk with liquid-liquid microextraction and smartphone-based photometric detection [J].
Acevedo, Maria Soledad M. S. F. ;
Lima, Manoel J. A. ;
Nascimento, Carina F. ;
Rocha, Fabio R. P. .
MICROCHEMICAL JOURNAL, 2018, 143 :259-263
[2]  
[Anonymous], 2014, GOST STATE STANDARD
[3]  
[Anonymous], 2009, MUK METHODOLOGICAL G
[4]   Use of household color-recording devices in quantitative chemical analysis [J].
Apyari, V. V. ;
Gorbunova, M. V. ;
Isachenko, A. I. ;
Dmitrienko, S. G. ;
Zolotov, Yu. A. .
JOURNAL OF ANALYTICAL CHEMISTRY, 2017, 72 (11) :1127-1137
[5]   Detection of non-dairy fat in milk based on quantitative assay of anionic detergent using azure A dye [J].
Barui, Amit K. ;
Sharma, Rajan ;
Rajput, Yudhishthir S. .
INTERNATIONAL DAIRY JOURNAL, 2012, 24 (01) :44-47
[6]  
Chennamsetty R., 2016, Asian J. Chem, V28, P1039, DOI [10.14233/ajchem.2016.19581, DOI 10.14233/AJCHEM.2016.19581]
[7]  
Ivanov V.M., 2001, RUSS CHEM REV+, V70, P357, DOI [10.1070/RC2001v070n05ABEH000636, DOI 10.1070/RC2001V070N05ABEH000636, 10.1070/rc2001v070n05abeh000636]
[8]   Determination of Quaternary Ammonium Compounds in Oranges and Cucumbers Using QuEChERS Extraction and Ultra-Performance Liquid Chromatography/Tandem Mass Spectrometry [J].
Javier Arrebola-Liebanas, Francisco ;
Herrera Abdo, Maria Angeles ;
Fernandez Moreno, Jose Luis ;
Martinez-Vidal, Jose L. ;
Garrido Frenich, Antonia .
JOURNAL OF AOAC INTERNATIONAL, 2014, 97 (04) :1021-1026
[9]   Feasible photometric measurements in liquid-liquid extraction by exploiting smartphone-based digital images [J].
Lima, Manoel J. A. ;
Nascimento, Carina F. ;
Rocha, Fabio R. P. .
ANALYTICAL METHODS, 2017, 9 (14) :2220-2225
[10]   Recent approaches for optical smartphone sensing in resource-limited settings: a brief review [J].
McCracken, Katherine E. ;
Yoon, Jeong-Yeol .
ANALYTICAL METHODS, 2016, 8 (36) :6591-6601