Utilization of a lateral flow colloidal gold immunoassay strip based on surface-enhanced Raman spectroscopy for ultrasensitive detection of antibiotics in milk

Shi, Qingshan; Huang, Jie; Sun, Yong; Yin, Mengqi; Hu, Mei; Hu, Xiaofei; Zhang, Zhijun; Zhang, Gaiping

doi:10.1016/j.saa.2017.11.045

Cited by 55 publications

(20 citation statements)

References 38 publications

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“…The LOD value was 1.07 ng/L in the presented IC-TRFIA for Van, which is more sensitive (approximately 60-fold) compared with Kong et al (2017) established IC-ELISA for Van with LOD value of 0.06 ng/mL, and approximately 460-fold, 2.0 × 10 5 -fold and 2.5 × 10 5 -fold compare with Liang et al (2015), Sheng and Zhou (2017) and Usman and Hempel (2016) which were established fluorescence "turn-off" biosensor, two-dimensional liquid chromatography and HPLC for Van with LOD value of 0.46 ng/mL, 0.2 and 0.25 μg/mL respectively. In addition, it was slightly better than Liu, Yan, Hua, and Wang (2013), Hu et al (2018), Zhou et al (2015) and Sheng et al (2016) established IC-TRFIAs for thiacloprid, aflatoxin B 1 , chloramphenicol and diniconazole with LOD value of 1.9, 3.55, 8.0 and 21 ng/L, respectively. At present, the Van belongs to a banned antibiotic drug in animal food in China, although there is no maximum residue limit standard of Van in it, the LOD value of 1.07 ng/L in the presented IC- Figure 3.…”

Section: Ic-trfia Establishment Of Van and Its Analoguesmentioning

confidence: 91%

“…The cross-reactivity (CRs) of antibody to antigen analogue (contains structural and functional analogues) is an important indicator for specificity evaluation in the field of immunoassay (He et al, 2019;Luo et al, 2017;Shi et al, 2018). As showed in Table 1, the presented IC-TRFIA showed strong CRs of 36.2% for norvancomycin, and hardly binding to polymyxin B (less than 0.1%), kanamycin (not detected) and ampicillin (not detected).…”

Section: Ic-trfia Establishment Of Van and Its Analoguesmentioning

confidence: 99%

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Establishment of an ultrasensitive indirect competitive time-resolved fluoroimmunoassay for vancomycin determination

Han

Dong

et al. 2019

Food and Agricultural Immunology

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Vancomycin (Van) is a common antibiotic that pollutes food, feed and ecological environment. In the present study, an anti-Van polyclonal antibodies (pAbs) and Eu 3+-labeled goat anti-rabbit IgG monoclonal antibody based indirect competitive timeresolved fluoroimmunoassay (IC-TRFIA) was established for ultrasensitive determination of Van, and its half-maximum inhibition concentrations (IC 50) was 13.74 ng/L and the limit of detection (LOD) was 1.07 ng/L. The IC-TRFIA showed strong crossreactivity (CRs) of 36.2% for norvancomycin, and less than 0.1% for polymyxin B, kanamycin and ampicillin. It was found that the IC-TRFIA for Van spiked in different milk powder samples determination were with good accuracy, stability and repeatability, and its recoveries are 83.0-97.9%, also with its coefficient of variations (CVs) are 3.0-12.9% in intra-assay and inter-assay. The results showed that the established IC-TRFIA was promising for ultrasensitive determination of Van in food samples. Highlights (1) Prepared high-quality Van-KLH/BSA conjugates. (2) Obtained high activity and purify anti-Van polyclonal antibodies. (3) Prepared high-quality Eu 3+-labelled goat anti-rabbit IgG monoclonal antibody. (4) Firstly established an IC-TRFIA for Van based on the anti-Van polyclonal antibodies and Eu 3+-labelled goat anti-rabbit IgG monoclonal antibody. (5) The IC-TRFIA can be used for ultrasensitive determination of Van in milk powder samples.

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Section: Ic-trfia Establishment Of Van and Its Analoguesmentioning

confidence: 91%

Section: Ic-trfia Establishment Of Van and Its Analoguesmentioning

confidence: 99%

Establishment of an ultrasensitive indirect competitive time-resolved fluoroimmunoassay for vancomycin determination

Han

Dong

et al. 2019

Food and Agricultural Immunology

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“…The Raman intensity of peak at 1078 cm −1 on the test line was determined and used for the quantitative determination of neomycin. The whole process could be completed within 15 min with a LOD of 0.216 pg mL −1 and good specificity [78]. Homogeneous SERS was developed for the detection of kanamycin in milk samples based on bimetallic Au@Ag NPs.…”

Section: Surface-enhanced Raman Spectroscopymentioning

confidence: 99%

Recent Advances in Optical Detection of Aminoglycosides

Zhou

Cao

2020

Applied Sciences

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Aminoglycosides (AGs) are broad-spectrum antibiotics used in both human infection and animal medicine. The overuse of AGs causes undesirable residues in food, leading to serious health problems due to food chain accumulation. In recent years, various methods have been developed to determine AGs in food. Among these methods, fluorescent (FL), colorimetric and chemiluminescent (CL) optical methods possess advantages such as their simple instrumentation, low cost, simple operation, feasibility of realizing visualization, and smartphone imaging. This mini-review summarizes optical assays for the detection of AGs in food developed in recent years. The detection principles for different categories are discussed. Then, the amplification techniques for the ultrasensitive detection of AGs are introduced. We also discuss multiplex methods for the simultaneous detection of AGs. Finally, the challenges and future prospects are discussed in the Conclusions and Perspectives section.

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“…e strip method mainly uses immune or competitive reactions to initiate or prevent the aggregation of colloidal gold nanoparticles on the paper strip detection line. e detection line shows red or colorless to indicate the presence or absence of the target molecules [12,13]. e computer-aided discriminant analysis is mainly based on the data information of spectroscopy, chromatography, mass spectrometry, and so on, of the samples and combined with the chemometrics algorithm [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy

Zhang

2020

Journal of Spectroscopy

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The aim of this work is to solve the practical problem that there are relatively few fast, intelligent, and objective methods to distinguish dairy products and to further improve the quality control methods of them. Therefore, an approach of cheese product brand discrimination method based on Raman spectroscopy and probabilistic neural network algorithm was developed. The experimental results show that the spectrum contains abundant molecular vibration information of carbohydrates, fats, proteins, and other components, and the Raman spectral data collection time of a single sample is only 100 s. Due to the high spectral similarity between samples, it is impossible to identify them with naked eyes. Characteristic peak intensity combined with statistical process control method was employed to study the fluctuation characteristics of samples. The results show that the characteristic peak of experimental samples fluctuates within a certain control limit. However, due to the high similarity between the Raman spectra of different brand samples, they cannot be effectively identified as well. This paper further studied and established the analytical approach based on Raman spectroscopy, including wavelet denoising, normalization, principal component analysis, and probabilistic neural network discrimination. In db1 wavelet processing, [−1, 1] normalization, 74 principal components (cumulative contribution rate of 100%) can realize the effective discrimination of different brands of cheese products in 1 s, with the average recognition accuracy of 96%. The discriminant method established in this work has the advantages of simple operation, rapid analysis, and accurate results. It provides a technical reference for the fight against counterfeit products and has a broad application prospect.

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Utilization of a lateral flow colloidal gold immunoassay strip based on surface-enhanced Raman spectroscopy for ultrasensitive detection of antibiotics in milk

Cited by 55 publications

References 38 publications

Establishment of an ultrasensitive indirect competitive time-resolved fluoroimmunoassay for vancomycin determination

Establishment of an ultrasensitive indirect competitive time-resolved fluoroimmunoassay for vancomycin determination

Recent Advances in Optical Detection of Aminoglycosides

Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy

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