Literature DB >> 14709011

Engineering of a broad specificity antibody for simultaneous detection of 13 sulfonamides at the maximum residue level.

Teemu Korpimäki1, Eeva-Christine Brockmann, Outi Kuronen, Maija Saraste, Urpo Lamminmäki, Mika Tuomola.   

Abstract

Sulfa antibiotics (sulfonamides) are a group of molecules sharing the p-aminobenzenesulfonamide moiety. Sulfonamides are used in veterinary and human medicine. Sometimes, the meat or milk of medicated animals is contaminated with residual sulfonamides. Current analytical methods for sulfonamides are unfit for screening of food, because they are either too laborious, insensitive, or specific for a few sulfa compounds only. A rapid immunoassay for detection of all sulfas in a single reaction would thus be useful. Previously, we used protein engineering to improve the broad specificity of sulfa antibody 27G3. In this study, we improved the best mutant of the previous studies with site-directed mutagenesis. The new mutants recognized different sulfonamides with affinities sufficient for detection of all 13 tested sulfonamides below the MRL level. We furthermore demonstrated the functionality of one mutant in some real sample matrices.

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Year:  2004        PMID: 14709011     DOI: 10.1021/jf034951i

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Oligovalent Fab display on M13 phage improved by directed evolution.

Authors:  Tuomas Huovinen; Hanna Sanmark; Jani Ylä-Pelto; Markus Vehniäinen; Urpo Lamminmäki
Journal:  Mol Biotechnol       Date:  2010-03       Impact factor: 2.695

Review 2.  Engineering the variable region of therapeutic IgG antibodies.

Authors:  Tomoyuki Igawa; Hiroyuki Tsunoda; Taichi Kuramochi; Zenjiro Sampei; Shinya Ishii; Kunihiro Hattori
Journal:  MAbs       Date:  2011-05-01       Impact factor: 5.857

3.  Production of Antigen-Binding Fragment against O,O-Diethyl Organophosphorus Pesticides and Molecular Dynamics Simulations of Antibody Recognition.

Authors:  Zi-Jian Chen; Xuan Zhang; Bing-Feng Wang; Mei-Fang Rao; Hong Wang; Hong-Tao Lei; Hui Liu; Yan Zhang; Yuan-Ming Sun; Zhen-Lin Xu
Journal:  Int J Mol Sci       Date:  2018-05-06       Impact factor: 5.923

  3 in total

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