Rapid Screening of Phenolic Compounds from Wild Lycium ruthenicum Murr. Using Portable near-Infrared (NIR) Spectroscopy Coupled Multivariate Analysis

Abstract

This study was designed to quantify the phenolics and flavonoids in wild Lycium ruthenicum Murr. using portable near-infrared (NIR) spectroscopy integrated with chemometric algorithms. Synergy interval partial least squares with ant colony optimization (Si-ACO-PLS) was applied to optimize and capture the target variables for the determination of phenolics and flavonoids. The constructed models were evaluated using the correlation coefficients of the calibration (Rc) and prediction (Rp), the root mean square error of prediction (RMSEP) and the residual predictive deviation (RPD). The Si-ACO-PLS models yielded 0.8522 ≤ Rc ≤ 0.9500, 0.8226 ≤ Rp ≤ 0.9448, 1.43 ≤ RMSEP ≤ 3.77 and 2.09 ≤ RPD ≤ 2.88. Conclusively, portable NIR spectroscopy coupled with Si-ACO-PLS was demonstrated to be simple, rapid and cost-effective to quantify the phenolics and flavonoids in L. ruthenicum samples.

Keywords:

• High-performance liquid chromatography with diode array detection (HPLC-DAD)
• Lycium ruthenicum Murray
• multivariate calibration
• near-infrared (NIR) spectroscopy
• phenolics

Disclosure statement

No potential conflicts of interest are reported by the authors.

Additional information

Funding

The authors acknowledge the financial support provided by the National Natural Science Foundation of China (31671844, 31601543, and 31601543), National Key Technology Research and Development Program of China (2018YFD0400803, 2017YFC1600805, 2017YFC1600806, 2016YFD0401104), National Natural Science Foundation of China (31750110458) and the China Postdoctoral Science Foundation (2017M611736). We would also like to thank our colleagues in School of Food and Biological Engineering who helped in this study.