Rapid assessment of bioactive phenolics and methylxanthines in spent coffee grounds by FT-NIR spectroscopy

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Magalhaes, LM (Author) Other; Machado, S (Author) Other; Marcela A Segundo (Author) FFUP; Lopes, JA (Author) Other; Pascoa, RNMJ (Author) Other

Journal

Title: Talanta

Vol. 147

Pages: 460-467

ISSN: 0039-9140

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 19 Citations

Scopus - 37 Citations

Other information

Authenticus ID: P-00G-QS2

DOI: 10.1016/j.talanta.2015.10.022

Abstract (EN): Spent coffee grounds (SCGs) are a great source of bioactive compounds with interest to pharmaceutical and cosmetic industries. Phenolics and methylxanthines are the main health related compounds present in SCG samples. Content estimation of these compounds in SCGs is of upmost importance in what concerns their profitable use by waste recovery industries. In the present work, near-infrared spectroscopy (NIRS) was proposed as a rapid and non-destructive technique to assess the content of three main phenolics (caffeic acid, (+)-catechin and chlorogenic acid) and three methylxanthines (caffeine, theobromine and theophylline) in SCG samples obtained from different coffee brands and diverse coffee machines. The content of these compounds was determined for 61 SCG samples by HPLC coupled with diode-array detection. Partial least squares (PLS) regression based models were calibrated to correlate diffuse reflectance NIR spectra against the reference data for the six parameters obtained by HPLC. Spectral wavelength selection and number of latent variables were optimized by minimizing the cross-validation error. PLS models showed good linearity with a coefficient of determination for the prediction set (R-p(2)) of 0.95, 0.92, 0.88, 071 and 0.84 for caffeine, caffeic acid, ( +)-catechin, chlorogenic acid and theophylline, respectively. The range error ratio (RER) was higher for caffeine (17.8) when compared to other compounds (12.0, 10.1, 7.6 and 9.2, respectively for caffeic acid,)-catechin, chlorogenic acid and theophylline). Moreover, the content of caffeine could be used to predict the antioxidant properties of SCG samples (R=0.808, n=61), despite not presenting this property itself. The results obtained confirmed that NIRS is a suitable technique to screen SCG samples unveiling those with high content of bioactive compounds, which are interesting for subsequent extraction procedures.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8