Author(s):
Quintelas, Cristina ; Braga, Adelaide ; Mesquita, Daniela P. ; Amaral, A. Luís ; Ferreira, Eugénio C. ; Belo, Isabel
Date: 2019
Persistent ID: http://hdl.handle.net/1822/59016
Origin: RepositóriUM - Universidade do Minho
Project/scholarship:
info:eu-repo/grantAgreement/FCT/5876/147337/PT;
Subject(s): flavor compounds; NIR spectroscopy; PCA; PLS; Yarrowia lipolytica; Science & Technology
Description
BACKGROUND: This work aims at developing a method, based on near infrared (NIR) spectroscopy, to quantify 2phenylethanol (2PE) and Lphenylalanine (LPhe) concentrations during its microbial production by Yarrowia lipolytica. For this purpose, 197 samples obtained from different batch cultures were analyzed using Fourier transform near infrared (FTNIR) transmission spectroscopy in the range of 200 cm1 to 14000 cm1. RESULTS: A principal components analysis (PCA) was performed for clusters identification and outliers removal. A partial least square (PLS) regression was next applied to develop the calibration models, by an iterative method. The predictive ability of the models was confirmed by an external validation procedure with an independent sample set. The obtained results could be considered as promising with coefficients of determination (R2) of 0.92 for LPhe and 0.95 for 2PE, and residual prediction deviation (RPD) above three, for the ensemble data. CONCLUSIONS: The described methodology, using NIR spectroscopy and chemometrics, can be seen as a promising fast tool to determine both studied flavor compounds during biotechnological processes as alternative to chromatographic methods.
The authors thank the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469 unit, COMPETE 2020 (POCI-01-0145FEDER-006684) and BioTecNorte operation (NORTE-01-0145FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020 – Programa Operacional Regional do Norte. The authors also acknowledge financial support to Cristina Quintelas through a postdoctoral grant (SFRH/BPD/101338/2014) provided by FCT – Portugal.
info:eu-repo/semantics/publishedVersion