Tailoring molecularly imprinted polymer beads for alternariol recognition and analysis by a screening with mycotoxin surrogates

Abouhany, Rahma; Urraca, Javier L.; Descalzo, Ana B.; Gómez-Arribas, Lidia N.; Moreno‐Bondi, María C.; Orellana, Guillermo

doi:10.1016/j.chroma.2015.11.055

Cited by 26 publications

(20 citation statements)

References 33 publications

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“…Compared with AOH, urolithin C lacked a methyl group at the C1, and the hydroxyl group transferred from C7 to C8, which led to a roughly three‐fold increase in the IC 50 value (27.2) of urolithin C, while its specificity decreased from 100% to 34.6%. In previous studies, similar affinities was exhibited for AOH, urolithin C, and AME by the MIP prepared with urolithin C . Both MIP and antibody can specifically recognize small molecules, while the antibody is a more sophisticated biometric material .…”

Section: Resultssupporting

confidence: 69%

“…Common urolithins are urolithin A, urolithin B, urolithin C, and so on . It has been reported that Abouhany et al utilized four urolithin compounds as the substituents of AOH to prepare molecularly imprinted microspheres for detection of AOH in tomato juice, while Rico‐Yuste et al captured the AOH in tomato juice by using urolithin C as the template of molecularly imprinted polymers (MIP) . Therefore, as the structural analogues of AOH, urolithins are suitable for use in the study of 3D‐QSAR.…”

Section: Introductionmentioning

confidence: 99%

“…[24][25][26] It has been reported that Abouhany et al utilized four urolithin compounds as the substituents of AOH to prepare molecularly imprinted microspheres for detection of AOH in tomato juice, while Rico-Yuste et al captured the AOH in tomato juice by using urolithin C as the template of molecularly imprinted polymers (MIP). 27,28 Therefore, as the structural analogues of AOH, urolithins are suitable for use in the study of 3D-QSAR. These analogues include not only urolithin C but also some rare urolithin compounds, such as urolithin D, urolithin M, and the equivalent methylated products.…”

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confidence: 99%

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Application of quantitative structure‐activity relationship analysis on an antibody and alternariol‐like compounds interaction study

Wang

Peng

Zhang

et al. 2019

J of Molecular Recognition

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The antigen‐antibody interaction determines the sensitivity and specificity of competitive immunoassay for hapten detection. In this paper, the specificity of a monoclonal antibody against alternariol‐like compounds was evaluated through indirect competitive ELISA. The results showed that the antibody had cross‐reactivity with 33 compounds with the binding affinity (expressed by IC50) ranging from 9.4 ng/mL to 12.0 μg/mL. All the 33 compounds contained a common moiety and similar substituents. To understand how this common moiety and substituents affected the recognition ability of the antibody, a three‐dimensional quantitative structure‐activity relationship (3D‐QSAR) between the antibody and the 33 alternariol‐like compounds was constructed using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. The q2 values of the CoMFA and CoMSIA models were 0.785 and 0.782, respectively, and the r2 values were 0.911 and 0.988, respectively, indicating that the models had good predictive ability. The results of 3D‐QSAR showed that the most important factor affecting antibody recognition was the hydrogen bond mainly formed by the hydroxyl group of alternariol, followed by the hydrophobic force mainly formed by the methyl group. This study provides a reference for the design of new hapten and the mechanisms for antibody recognition.

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Section: Resultssupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Application of quantitative structure‐activity relationship analysis on an antibody and alternariol‐like compounds interaction study

Wang

Peng

Zhang

et al. 2019

J of Molecular Recognition

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“…Two new methods became available using HPLC with UV or FLD for the determination of Alternaria toxins (Abou-Hany et al, 2015;Fan et al, 2016). Fan et al (2016) developed a LC-UV method for AOH, AME and TeA determination in wine and apple juice, which is based on countercurrent chromatography for enrichment and clean-up.…”

Section: Alternaria Toxinsmentioning

confidence: 99%

“…The good values for LODs of 0.03-0.14 µg/l make the method suitable for the analysis of naturally contaminated samples. Abou-Hany et al (2015) synthesised MIP microspheres for selective binding of AOH. Four surrogate templates of AOH were synthesised to carry out the polymerisation in multi-gram scale.…”

Section: Alternaria Toxinsmentioning

confidence: 99%

Developments in mycotoxin analysis: an update for 2017-2018

Tittlemier¹,

Cramer

Dall’Asta

et al. 2019

WMJ

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This review summarises developments that have been published in the period from mid-2017 to mid-2018 on the analysis of various matrices for mycotoxins. Analytical methods to determine aflatoxins, Alternaria toxins, ergot alkaloids, fumonisins, ochratoxins, patulin, trichothecenes, and zearalenone are covered in individual sections. Advances in sampling strategies are discussed in a dedicated section, as are methods used to analyse botanicals and spices, and newly developed comprehensive liquid chromatographic-mass spectrometric based multi-mycotoxin methods. This critical review aims to briefly discuss the most important recent developments and trends in mycotoxin determination as well as to address limitations of the presented methodologies.

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Sample Preparation in LC‐MS Bioanalysis

2019

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Tailoring molecularly imprinted polymer beads for alternariol recognition and analysis by a screening with mycotoxin surrogates

Cited by 26 publications

References 33 publications

Application of quantitative structure‐activity relationship analysis on an antibody and alternariol‐like compounds interaction study

Application of quantitative structure‐activity relationship analysis on an antibody and alternariol‐like compounds interaction study

Developments in mycotoxin analysis: an update for 2017-2018

Sample Preparation in LC‐MS Bioanalysis

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