“…In other cases, multivariate methods have been used to reveal correlations hidden in the data obtained when evaluating MIPs. Different combinations of PCA and PLSR methods have been applied for interpretation of MIP binding data obtained from SERS (surface-enhanced Raman spectroscopy) [ 635 , 636 , 637 , 638 , 639 , 640 , 641 , 642 , 643 , 644 ], for pattern recognition in the responses from various MIP-sensor arrays [ 645 , 646 , 647 , 648 , 649 , 650 , 651 , 652 , 653 , 654 , 655 , 656 , 657 , 658 , 659 , 660 ], to correlate the shape of MIP-quartz crystal microbalance frequency curves to different analytes [ 106 , 661 , 662 , 663 ], for cyclic voltammetry measurements on binary mixtures [ 214 , 656 , 664 , 665 ] and for correlating the results with HPLC data [ 665 ] and to process fluorescence data [ 666 ]. PLSR and PCA have also been used to correlate bupivacaine–MIP binding with rebinding solvent properties [ 667 , 668 ] and with polymer morphology and pre-polymerization interactions from MD simulations [ 403 ].…”