Highly Sensitive Detection of Zearalenone in Feed Samples Using Competitive Surface-Enhanced Raman Scattering Immunoassay

Liu, Jianzhi; Hu, Yongjun; Zhu, Guichi; Zhou, Xiaoming; Li, Jia; Zhang, Tao

doi:10.1021/jf503191e

Cited by 60 publications

(33 citation statements)

References 45 publications

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“…The ZEN-spiked corn samples were prepared according to the method reported by Liu, Hu, Zhu, Zhou, Jia, and Zhang (2014) and Zhan, Huang, Chen, Li, and Xiong (2016) with some modifications. Different volumes of stock solutions (1 μg/mL and 10 μg/mL) were added to 5 g of pulverized corn samples to obtain corn samples spiked with different levels of ZEN (i.e., 90 μg/kg, 180 μg/kg and 900 μg/kg).…”

Section: Sample Preparation and Detectionmentioning

confidence: 99%

“…Zearalenone (ZEN), also known as F-2 toxin, is a nonsteroidal estrogenic mycotoxin biosynthesized through a polyketide pathway by several Fusarium species with widespread occurrence in corn, wheat, oat, barley, soybeans, beer, etc. (Liu, Hu, Zhu, Zhou, Jia, & Zhang, 2014). There is evidence that the consumption of ZEN contaminated products might cause various toxic effects on humans and animals (pigs, cattle and sheep), including teratogenesis, carcinogenicity, neurotoxicity, abortion, and estrogenic effect (Schneider & Dickert, 1994).…”

Section: Introductionmentioning

confidence: 99%

“…Assured conformance with abovementioned standards demands the continuous monitoring of trace level of ZEN in agricultural commodities, cereal products, etc. Various methods have been employed for ZEN contents determination in foods or feedstuffs, including high-performance liquid chromatography (HPLC) (Ok, Choi, Kim, & Chun, 2014), liquid chromatography-mass spectrometry (LC-MS) (Soleimany, Jinap, Faridah, & Khatib, 2012), high performance thin layer chromatography (HPTLC) (Dawlatana, Coker, Nagler, Blunden, & Oliver, 1998;Hadiani, Yazdanpanah, Ghazi-Khansari, M. Cheraghali, & Goodarzi, 2003), electrochemical immunoassay (ECI) (Hervás, López, & Escarpa, 2009), fluorescence polarization immunoassay (FPI) (Chun, Choi, Chang, Choi, & Eremin, 2009), surface-enhanced Raman scattering immunoassay (SERSI) (Liu, Hu, Zhu, Zhou, Jia, & Zhang, 2014) and enzyme-linked immunosorbent assay (ELISA) (Kuzdraliński, Solarska, & Muszyńska, 2013;Zhang, Tao, Niu, Li, & Chen, 2017). Out of these sophisticated techniques, chromatographic methods are highly selective and accurate.…”

Section: Introductionmentioning

confidence: 99%

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Highly sensitive fluorescence sensing of zearalenone using a novel aptasensor based on upconverting nanoparticles

Chughtai

et al. 2017

Food Chemistry

109

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A facile strategy was successfully developed for the detection of zearalenone (ZEN). In this assay, highly fluorescent upconversion nanoparticles were synthesized and conjugated with the complementary oligonucleotide of ZEN aptamer for use as signal probes. Magnetic nanoparticles immobilized with the ZEN aptamer were assigned as capture probes. The results exhibited that the linear correlation between the decreased luminescence intensity of the signal and the concentration of ZEN was very strong (R=0.9957) in the range of 0.05-100μg/L. In addition, the limit of detection of the proposed method (0.126μg/kg for corn and 0.007μg/L for beer) was significantly lower than the existing methods. Furthermore, the reliability of the competitive immunoassay format was validated by comparing the results determined in real food samples to those obtained from a commercially available method. Overall, the novel aptasensor have showed great potential for rapid and accurate ZEN determination.

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Section: Sample Preparation and Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Highly sensitive fluorescence sensing of zearalenone using a novel aptasensor based on upconverting nanoparticles

Chughtai

et al. 2017

Food Chemistry

109

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“…(Zinedine et al, 2007). Zearalenone can cause teratogenic, carcinogenic, neurotoxic, and estrogenic effects in both humans and animals (Liu et al, 2014). T-2 toxin, mostly found in corn, is produced by Fusarium sporotrichioides Sherb .…”

Section: Fusarium Toxinsmentioning

confidence: 99%

Detection of fungal infection and Ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging

Senthilkumar

Jayas

White

et al. 2016

Journal of Stored Products Research

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Fungal infection and mycotoxin contamination in agricultural products are a serious food safety issue. The detection of fungal infection and mycotoxin contamination in food products should be in a rapid way. A Near-Infrared (NIR) hyperspectral imaging system was used to detect fungal infection in 2013 crop year canola, wheat, and barley at different periods after inoculation and different concentration levels of ochratoxin A in wheat and barley. Artificially fungal infected (Fungi: Aspergillus glaucus, Penicillium spp.) kernels of canola, wheat and barley, were subjected to single kernel imaging after 2, 4, 6, 8, and 10 weeks post inoculation in the NIR region from 1000 to 1600 nm at 61 evenly distributed wavelengths at 10 nm intervals.The acquired image data were in the three-dimensional hypercube forms, and these were transformed into two-dimensional data. The two-dimensional data were subjected to principal component analysis to identify significant wavelengths based on the highest principal component factor loadings. Wavelengths 1100, 1130, 1250, and 1300 nm were identified as significant for detection of fungal infection in canola kernels, wavelengths 1280, 1300, and 1350 nm were identified as significant for detection of fungal infection in wheat kernels, and wavelengths 1260, 1310, and 1360 nm were identified as significant for detection of fungal infection in barley kernels. The linear, quadratic and Mahalanobis statistical discriminant classifiers differentiated healthy canola kernels with > 95% and fungal infected canola kernels with > 90% classification accuracy. All the three classifiers discriminated healthy wheat and barley kernels with > 90% and fungal infected wheat and barley kernels with > 80% classification accuracy.ii The wavelengths 1300, 1350, and 1480 nm were identified as significant for detection of ochratoxin A contaminated wheat kernels, and wavelengths 1310, 1360, 1480 nm were identified as significant for detection of ochratoxin A contaminated barley kernels. All the three statistical classifiers differentiated healthy wheat and barley kernels and ochratoxin A contaminated wheat and barley kernels with a classification accuracy of 100%. The classifiers were able to discriminate between different durations of fungal infections in canola, wheat, and barley kernels with classification accuracy of more than 80% at initial periods (2 weeks) of fungal infection and 100% at the later periods of fungal infection. Different concentration levels of ochratoxin A contamination in wheat and barley kernels were discriminated with a classification accuracy of > 98% at ochratoxin A concentration level of ≤ 72 ppb in wheat kernels and ≤ 140 ppb in barley kernels and with 100% classification accuracy at higher concentration levels.iii

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“…Electrochemical techniques are also employed in detecting prometryn, although electrochemical sensors based on mercury electrodes [9][10][11] have negative environmental implications. Motivated by the need to develop sensitive and selective methods to monitor residual amounts of prometryn, in this study we combine the highly sensitive and selective surface-enhanced Raman scattering (SERS) [12] with advanced computational data analysis in order to detect prometryn below the threshold allowed for drinking water. SERS is a vibrational technique in which signal enhancement of target molecules is achieved due to localized surface plasmon resonance (LSPR) excited using metallic nanostructures [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Probing trace levels of prometryn solutions: from test samples in the lab toward real samples with tap water

et al. 2015

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Growing food demand has been addressed by protecting crops from insects, weeds, and other organisms by increasing the application of pesticides, thus increasing the risk of environmental contamination. Many pesticides, such as the triazines, are poorly soluble in water and require trace detection methods, which are normally achieved with high-cost sophisticated chromatography techniques. Here, we combine surface-enhanced Raman scattering (SERS) with multidimensional projection techniques to detect the toxic herbicide prometryn in ultrapure, deionized, and tap waters. The SERS spectra for prometryn were recorded with good signal-to-noise ratio down to 5 9 10 -12 mol/L in ultrapure water, approaching singlemolecule levels, and 5 9 10 -9 mol/L in tap water. The latter is one order of magnitude below the threshold allowed for drinking water. In addition to providing a fingerprint of prometryn molecules at low concentrations, SERS is advantageous compared to other methods since it does not require pretreatment or chemical separation. The multidimensional projection methods and the detection procedure with SERS are entirely generic, and may be extended to any other pesticide or water contaminants, thus allowing environmental control to be potentially low cost if portable Raman spectrophotometers are used.

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Highly Sensitive Detection of Zearalenone in Feed Samples Using Competitive Surface-Enhanced Raman Scattering Immunoassay

Cited by 60 publications

References 45 publications

Highly sensitive fluorescence sensing of zearalenone using a novel aptasensor based on upconverting nanoparticles

Highly sensitive fluorescence sensing of zearalenone using a novel aptasensor based on upconverting nanoparticles

Detection of fungal infection and Ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging

Probing trace levels of prometryn solutions: from test samples in the lab toward real samples with tap water

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