Direct, simultaneous quantification of fructooligosaccharides by FT-MIR ATR spectroscopy and chemometrics for rapid identification of superior, engineered β-fructofuranosidases.

Fructooligosaccharides (FOS) are popular components of functional foods produced by the enzymatic transfer of fructose units to sucrose. Improving β-fructofuranosidase traits by protein engineering is restricted by the absence of a rapid, direct screening method for the fructooligosaccharide products produced by enzyme variants. The use of standard high-performance liquid chromatography (HPLC) methods involves time-consuming sample preparation and chromatographic and data analysis steps. To overcome these limitations, this work presents a rapid method for screening β-fructofuranosidase variant libraries using Fourier transform mid-infrared attenuated total reflectance (FT-MIR ATR) spectroscopy and calibration using partial least squares (PLS) regression. The method offers notable improvements in terms of sample analysis times and cost, with the added benefit of the absence of toxic eluents. Wavenumber interval selection methods were tested to develop optimised PLS regression models that were successfully applied to quantify of glucose, fructose, sucrose, 1-kestose and nystose, the substrates and products of β-fructofuranosidase activity. To the best of our knowledge, this is the first report on the use of infrared spectroscopy and PLS calibration for the quantification of 1-kestose and nystose. Independent test set-validated results indicated that optimal wavenumber selection by interval PLS (iPLS) served to provide the best models for all sugars, bar glucose. Application of this screening method will facilitate the engineering of β-fructofuranosidases and other glycosyltransferase enzymes by random mutagenesis strategies, as it provides, for the first time, a rapid, direct assay for transferase products that may be adapted to a high-throughput set-up.