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MOFs have attracted remarkable attention as solid sorbents in CO2 capture processes for their low-energy post-combustion.

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Phenolic compounds are biologically important molecules existed in many different plants and fruits. There is a need for a reliable analytical method possessing speedy monitoring, ease of operation, and simple instrumentation. We have developed a fast and reliable spectrophotometric method for simultaneous determination of p-hydroxybenzoic (PHBA), vanillic (VA), and caffeic (CA) acids in fruit juice samples. To overcome the severe spectral overlapping, partial least squares (PLS) regression as a multivariate calibration method was successfully developed for the simultaneous determination of PHBA, VA, and CA in ternary solutions. The experimental calibration matrix was designed with 25 ternary mixtures of these compounds, and the calibration models were validated with six synthetic mixtures. Calibration graphs were linear in the range of 0.0-6.0, 0.0-12.0, and 0.0-12.0 μg mL −1 ; limit of detections (LODs) were found to be 0.092, 0.1 l7, and 0.107 μg mL −1 for PHBA, VA, and CA, respectively. The root-mean-square errors of prediction (RMSEPs) for the same order of target compounds were 0.084, 0.146, and 0.114. The accuracy of the method was confirmed with the recoveries ranging between 84 and 107 %. The relative standard deviations (RSDs) for the analytes in the analysis of fruit juice samples were lower than 4 %. The PLS results were found to be in good agreement with those obtained by high-performance liquid chromatographyultraviolet detection (HPLC-UV) method. Such a chemometrics-based protocol may be a promising tool for more analytical applications in real sample monitoring, due to its advantages of simplicity, rapidity, and accuracy.