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Fluorescence Polarization Immunoassays for Potato Glycoalkaloids

Authors: Carrie A. Thomson; Peter Sporns;

Fluorescence Polarization Immunoassays for Potato Glycoalkaloids

Abstract

Fluorescence polarization immunoassays (FPIAs) were developed for potato glycoalkaloids (GAB) using a polyclonal antiserum and a monoclonal antibody (MAb). Fluorescently labeled solanidine (AMF-SOL) was synthesized by coupling 4'-(aminomethyl)fluorescein (4'-AMF) to the hemisuccinate derivative of solanidine using an active ester method. Both polyclonal antibody (PAL) and MAb could quantify the major potato GAs in the 20 - 100 nM range; however, the affinities of PAb and MAb differed slightly among the individual GAs. PAb displayed the greatest affinity for alpha-chaconine, while MAb was more sensitive to changes in alpha-solanine levels. Affinity constants (Kaff) of PAb and MAb for AMF-SOL were estimated at 4.2 X 10(8) and 4.7 10(7) M-1, respectively. Potato samples containing low, medium, and high levels of GAs were successfully analyzed by the PAb FPIA. Equilibrium in the FPIA reaction was reached within 1-2 min, and standard curves were stable for at least 14 days.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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