Determination of Triazine Herbicides from Fruit Juice Samples Using Effervescence Assisted Microextraction Method Based on Acidic Ionic Liquid Packed Syringe

doi:10.7503/cjcu20190605

Abstract

Abstract:

A rapid, efficient, eco-friendly and simple effervescence assisted microextraction method based on acidic ionic liquid packed syringe was proposed for the determination of triazine herbicides in fruit juice samples. The extraction and dispersion procedure was achieved using an acidic ionic liquid [C₄mim][HSO₄]. It possesses high solubility for triazine herbicides and acidity that can generate carbon dioxide, which accelerates the extraction procedure via reacting with carbonate. The dispersion and separation were carried out in a syringe. Thus, the whole pretreatment procedure was completely free of any equipment. A variety of experimental conditions affecting extraction efficiency, including amount of sodium bicarbonate, amount of acidic ionic liquid, salt addition and volume of elution solvent were optimized. Under the optimal conditions, good linearities were obtained in the range of 1—200 ng/mL, with coefficients better than 0.9984. The limit of detection(LOD) and limit of quantification(LOQ) varied from 0.06 to 0.18 ng/mL and 0.21 to 0.61 ng/mL, respectively. The intra-day and inter-day precisions were lower than 8.3%. The developed technique was successfully applied for determination of triazine herbicides in fruit juice samples.

Key words: Acidic ionic liquid, Effervescence assisted microextraction, Triazine herbicide

CLC Number:

O657

TrendMD:

PIAO Huilan,MA Pinyi,QIN Zucheng,JIANG Yanxiao,SUN Ying,WANG Xinghua,SONG Daqian. Determination of Triazine Herbicides from Fruit Juice Samples Using Effervescence Assisted Microextraction Method Based on Acidic Ionic Liquid Packed Syringe[J]. Chem. J. Chinese Universities, 2020, 41(2): 228.

Figures/Tables 10

References 30

[1]	Chen P. S., Haung W. Y., Huang S. D., J. Chromatogr. B, 2014,955/956, 116— 123 doi: 10.1016/j.jchromb.2014.02.032 URL
[2]	Zhang W., Ruan G., Li X., Jiang X., Huang Y., Du F., Li J., Anal. Chim. Acta, 2019,1071, 17— 24 doi: 10.1016/j.aca.2019.04.041 URL
[3]	Fang R., Chen G. H., Yi L. X., Shao Y. X., Zhang L., Cai Q. H., Xiao J., Food Chem., 2014,145, 41— 48 doi: 10.1016/j.foodchem.2013.08.028 URL
[4]	Chen L., Song D., Tian Y., Ding L., Yu A., Zhang H ., Tr AC-Trend. Anal. Chem., 2008,27, 151— 159
[5]	Qiao C., Bi S., Sun Y., Song D., Zhang H., Zhou W ., Spectrochim. Acta A, 2008,70, 136— 143 doi: 10.1016/j.saa.2007.07.038 URL
[6]	Jiang Y., Piao H., Qin Z., Li X., Ma P., Sun Y., Wang X., Song D ., J. Sep. Sci., 2019,42, 2900— 2908 doi: 10.1002/jssc.v42.18 URL
[7]	Sun T., Wang M., Wang D., Du Z ., Talanta, 2020,207, 120244 doi: 10.1016/j.talanta.2019.120244 URL
[8]	Torbati M., Farajzadeh M. A., Mogaddam M. R. A., Torbati M., J. Sep. Sci., 2019,42, 1768— 1776 doi: 10.1002/jssc.v42.9 URL
[9]	Guinez M., Canales R., Talio C., Gomez D., Smichowski P ., Talanta, 2020,206, 120182 doi: 10.1016/j.talanta.2019.120182 URL
[10]	Rodríguez-González N., González-Castro M. J., Beceiro-González E., Muniategui-Lorenzo S., Microchem. J., 2017,133, 137— 143 doi: 10.1016/j.microc.2017.03.022 URL
[11]	Yuan J., Cui Z., Cheng C., Wang X., Wang S., Song X., Li F., Acta Chromatogr., 2017,29, 487— 492 doi: 10.1556/1326.2016.00122 URL
[12]	Camino-Sanchez F. J., Rodriguez-Gomez R., Zafra-Gomez A., Santos-Fandila A., Vilchez J. L., Talanta, 2014,130, 388— 399 doi: 10.1016/j.talanta.2014.07.022 URL
[13]	Abujaber F., Guzman Bernardo F. J., Rodriguez Martin-Doimeadios R. C., Talanta, 2019,201, 266— 270 doi: 10.1016/j.talanta.2019.04.005 URL
[14]	Lasarte-Aragones G., Lucena R., Cardenas S., Valcarcel M., Anal. Chim. Acta, 2014,807, 61— 66
[15]	Wei Q., Song Z., Nie J., Xia H., Chen F., Li Z., Lee M ., J. Sep. Sci., 2016,39, 4603— 4609 doi: 10.1002/jssc.201600619 URL
[16]	Ghoochani Moghadam A., Rajabi M., Hemmati M., Asghari A ., J. Mol. Liq., 2017,242, 1176— 1183 doi: 10.1016/j.molliq.2017.07.038 URL
[17]	Yao L., Liu H., Wang X., Xu W., Zhu Y., Wang H., Pang L., Lin C., Food Chem., 2018,256, 212— 218 doi: 10.1016/j.foodchem.2018.02.132 URL
[18]	Paduszyński K., Królikowski M., Orzeł P ., J. Mol. Liq., 2019,279, 733— 739 doi: 10.1016/j.molliq.2019.01.149 URL
[19]	Wu X., Li X., Yang M., Zeng H., Zhang S., Lu R., Gao H., Xu D ., J. Chromatogr. A, 2017,1497, 1— 8 doi: 10.1016/j.chroma.2017.03.005 URL
[20]	Pan H., Li H., Zhang H., Wang A., Yang S ., Fuel, 2019,239, 886— 895 doi: 10.1016/j.fuel.2018.11.093 URL
[21]	Guan L., Luo Q., Liang N., Yu W., Chem. J. Chinese Universities, 2018,34(6), 887— 892
[22]	Mehrdad A., Noorani N., Sep. Purif. Technol., 2019,226, 138— 145 doi: 10.1016/j.seppur.2019.05.086 URL
[23]	Kong J., Zhu F., Huang W., He H., Hu J., Sun C., Xian Q., Yang S ., J. Chromatogr. A, 2019,1603, 92— 101 doi: 10.1016/j.chroma.2019.06.063 URL
[24]	Farajzadeh M. A., Abbaspour M., Kazemian R., J. Chromatogr. A, 2019,1603, 51— 60 doi: 10.1016/j.chroma.2019.06.051 URL
[25]	Wu Q., Feng C., Zhao G., Wang C., Wang Z ., J. Sep. Sci., 2012,35, 193— 199 doi: 10.1002/jssc.v35.2 URL
[26]	Yang Q., Chen B., He M., Hu B ., Talanta, 2018,186, 88— 96 doi: 10.1016/j.talanta.2018.04.012 URL
[27]	Ahmadi-Jouibari T., Pasdar Y., Pirsaheb M., Fattahi N ., Anal. Methods, 2017,9, 980— 985 doi: 10.1039/C6AY02839J URL
[28]	Mohd N. I., Gopal K., Raoov M., Mohamad S., Yahaya N., Lim V., Zain N. N. M., Talanta, 2019,196, 217— 225 doi: 10.1016/j.talanta.2018.12.043 URL
[29]	Zhang F., Zhao Q., Yan X., Li H., Zhang P., Wang L., Zhou T., Li Y., Ding L., Food Chem., 2016,197, 943— 949 doi: 10.1016/j.foodchem.2015.11.056 URL
[30]	Cui S., Chen Q., Wang W., Miao J., Wang A., Chen J ., Chromatogr., 2013,76, 671— 678 doi: 10.1007/s10337-013-2441-7 URL

Analyte	Liner range/ (ng·mL^-1)	Regression equation	Correlation coefficient, r	LOD/ (ng·mL^-1)	LOQ/ (ng·mL^-1)	RSD(%)
Analyte	Liner range/ (ng·mL^-1)	Regression equation	Correlation coefficient, r	LOD/ (ng·mL^-1)	LOQ/ (ng·mL^-1)	Inter-day	Intra-day
Atraton	1—200	A=32273c-45035	0.9993	0.06	0.21	1.6	7.6
Desmetryn	1—200	A=22833c-32310	0.9991	0.09	0.31	6.8	7.2
Secbumeton	2—200	A=18533c-30871	0.9984	0.16	0.54	5.8	7.8
Terbumeton	2—200	A=16835c-24740	0.9990	0.18	0.61	5.4	6.9
Prometryn	1—200	A=26847c-34238	0.9990	0.06	0.18	2.9	6.3

Analyte	Liner range/ (ng·mL^-1)	Regression equation	Correlation coefficient, r	LOD/ (ng·mL^-1)	LOQ/ (ng·mL^-1)	RSD(%)
Analyte	Liner range/ (ng·mL^-1)	Regression equation	Correlation coefficient, r	LOD/ (ng·mL^-1)	LOQ/ (ng·mL^-1)	Inter-day	Intra-day
Atraton	1—200	A=32273c-45035	0.9993	0.06	0.21	1.6	7.6
Desmetryn	1—200	A=22833c-32310	0.9991	0.09	0.31	6.8	7.2
Secbumeton	2—200	A=18533c-30871	0.9984	0.16	0.54	5.8	7.8
Terbumeton	2—200	A=16835c-24740	0.9990	0.18	0.61	5.4	6.9
Prometryn	1—200	A=26847c-34238	0.9990	0.06	0.18	2.9	6.3

Matrix	Spiked/ (ng·mL^-1)	Atraton		Desmetryn		Secbumeton		Terbumeton		Prometryn
Matrix	Spiked/ (ng·mL^-1)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)
Fruit Juice	3.0	103.4	7.2	101.6	7.3	114.9	4.7	102.5	6.0	94.3	4.7
	10.0	102.4	4.6	104.0	5.8	107.7	6.5	83.0	5.3	123.2	8.2
	20.0	106.0	2.0	105.0	2.2	96.6	1.5	89.6	3.6	116.5	5.8
Tea beverage	3.0	90.4	6.9	123.5	4.4	107.6	8.7	103.2	4.0	94.4	4.6
	10.0	91.5	2.6	101.0	5.3	100.6	2.7	85.2	3.4	100.3	6.1
	20.0	96.9	5.7	119.0	6.0	112.5	6.0	93.1	5.7	100.1	6.2
Water	3.0	104.9	8.3	118.3	5.3	112.5	8.3	83.9	2.3	109.1	4.3
	10.0	96.5	2.2	102.1	7.1	99.7	7.9	80.8	7.2	104.0	5.3
	20.0	92.1	0.4	112.3	1.5	101.4	1.5	94.9	3.6	113.8	3.0

Matrix	Spiked/ (ng·mL^-1)	Atraton		Desmetryn		Secbumeton		Terbumeton		Prometryn
Matrix	Spiked/ (ng·mL^-1)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)	Recovery (%)	RSD (%)
Fruit Juice	3.0	103.4	7.2	101.6	7.3	114.9	4.7	102.5	6.0	94.3	4.7
	10.0	102.4	4.6	104.0	5.8	107.7	6.5	83.0	5.3	123.2	8.2
	20.0	106.0	2.0	105.0	2.2	96.6	1.5	89.6	3.6	116.5	5.8
Tea beverage	3.0	90.4	6.9	123.5	4.4	107.6	8.7	103.2	4.0	94.4	4.6
	10.0	91.5	2.6	101.0	5.3	100.6	2.7	85.2	3.4	100.3	6.1
	20.0	96.9	5.7	119.0	6.0	112.5	6.0	93.1	5.7	100.1	6.2
Water	3.0	104.9	8.3	118.3	5.3	112.5	8.3	83.9	2.3	109.1	4.3
	10.0	96.5	2.2	102.1	7.1	99.7	7.9	80.8	7.2	104.0	5.3
	20.0	92.1	0.4	112.3	1.5	101.4	1.5	94.9	3.6	113.8	3.0

Matrix	Analytes	Extraction method	Detection	LOD/(ng·mL^-1)	Recovery(%)	Ref.
Water	Triazine herbicides	SPME	HPLC-DAD	0.05—0.2	86.0—94.6	[25]
Water	Triazine herbicides	HF-LLLME	HPLC-DAD	0.07—0.69	85.2—113.0	[26]
Fruit juice	Triazine herbicides	CSDF-ME	HPLC-UV	0.5—1.0	71.0—90.0	[27]
Milk	Triazine herbicides	MSPE	HPLC-DAD	0.134—0.176	81.0—109.0	[28]
Milk	Triazine herbicides	SPE	HPLC-MS	0.03—0.12	82.5—97.5	[29]
Water	Pesticide residues	UA-DLLME	GC-FID	0.09—0.57	90.5—107.7	[30]
Fruit juice	Triazine herbicides	EA-DLLME	HPLC-UV	0.06—0.18	80.8—123.5	This work