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Review Article | Open Access

Development of a reversed dispersive based graphene functionalized with multiwalled carbon nanotubes for detection of β2-agonists in pork by high-performance liquid chromatography

Ying-Wen Qiana,bXia Honga,bCai-Xia Yuana,b( )Xin-Kui Zhoua,bHai-Ning Hea,bDong-Shuai Wanga,b
Quality and Safety Technological Innovation Service Platform on Circulation of Animal Origin, Gansu Institute of Business and Technology, Lanzhou, Gansu 730010, China
Key Laboratory of Animal Products Safety Analysis and Detection Technology of Gansu Province, Lanzhou, Gansu 730010, China

Peer review under responsibility of KeAi Communications Co., Ltd.

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Abstract

A reliable and inexpensive pretreatment procedure in the determination of β2-agonists in pork was developped. The procedure used a nanocomposite of multiwalled carbon nanotubes (CNTs) functionalized with graphene (rGO) as the reversed dispersive sorbent. It was analyzed after purification by high-performance liquid chromatography, the extraction time and the properties of the nanocomposite were optimized. Under optimized conditions, present method has linear response over concentration range of 0.5–50 ng/mL in pork samples with a satisfactory detection limit close to 0.1 ng/mL. The precisions of the current method (coefficient of variation) are lower than 5%, while recoveries are more than 98.3%. The nanocomposite exhibited high adsorptivity, long-term storage stability, satisfactory anti-interfering activity and high selectivity toward β2-agonists compared with those of rGO and CNTs.

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Food Science and Human Wellness
Pages 163-169
Cite this article:
Qian Y-W, Hong X, Yuan C-X, et al. Development of a reversed dispersive based graphene functionalized with multiwalled carbon nanotubes for detection of β2-agonists in pork by high-performance liquid chromatography. Food Science and Human Wellness, 2018, 7(2): 163-169. https://doi.org/10.1016/j.fshw.2018.03.002

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Received: 14 August 2017
Revised: 30 January 2018
Accepted: 19 March 2018
Published: 29 March 2018
© 2018 “Society information”.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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