Quantitative immunochromatographic assay for rapid and cost-effective on-site detection of benzo[a]pyrene in oilfield chemicals

被引:23
作者
Li, Jinyan [1 ,2 ,3 ]
Jiang, Luming [4 ,5 ]
Shu, Yong [4 ,5 ]
Song, Shanshan [1 ,2 ,3 ]
Xu, Liguang [1 ,2 ,3 ]
Kuang, Hua [1 ,2 ,3 ]
Xu, Chuanlai [1 ,2 ,3 ]
Guo, Lingling [1 ,2 ,3 ]
机构
[1] Jiangnan Univ, State Key Lab Food Sci & Resources, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Int Joint Res Lab Biointerface & Biodetect, Wuxi 214122, Jiangsu, Peoples R China
[3] Jiangnan Univ, Sch Food Sci & Technol, Wuxi 214122, Jiangsu, Peoples R China
[4] PetroChina Res Inst Petr Explorat & Dev, Beijing 10083, Peoples R China
[5] CNPC, Key Lab Oilfield Chem, Beijing 100083, Peoples R China
关键词
Benzo[a]pyrene; Matrix-insensitive monoclonal antibody; Immunochromatographic strip assay; Oilfield chemicals; IMMUNOASSAY; BENZO(A)PYRENE; SENSOR;
D O I
10.1016/j.jhazmat.2024.134100
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Contamination of oilfield chemicals (OFCs) by benzo[a]pyrene (B[a]P) is increasingly becoming a severe environmental security issue. There is an urgent need to develop a rapid and accurate method for B[a]P detection in OFCs. In this study, B[a]P hapten was designed using computer aided molecular design. A high -affinity, specific, and matrix -insensitive monoclonal antibody (mAb) with IC 50 values of 6.77 ng/mL was obtained. Based on this mAb, we developed a rapid gold nanoparticle-based immunochromatographic strip assay (GICA) with double Tline mode for on -site detection of B[a]P in OFCs samples. The GICA exhibited excellent detection performance in OFCs samples with strong acidity, strong alkalinity, and deep color. Under optimal conditions, the proposed method detected B[a]P in OFCs at 0.42 -300 mg/kg, and limit of detection was 0.23 -1.07 mg/kg. The recovery rate was 88 -106% with a coefficient of variation of 1.46 -6.35%. Confirmed by natural positive OFCs samples and high-performance liquid chromatography, this GICA is accurate and reliable, with great potential for rapid and cost-effective on -site detection.
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页数:11
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