2020
DOI: 10.1109/jsen.2020.2972773
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Titanium Oxide Nanocubes Embedded Molecularly Imprinted Polymer-Based Electrode for Selective Detection of Caffeine in Green Tea

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Cited by 31 publications
(3 citation statements)
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“…Several examples of electrochemical sensors have been reported for the quantitation of CAF and THEO. The most common analytical parameters, such as linearity range, LOD and application media of a series of literature data were compared and resumed in Table 8 [ 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ]. Most of the electrochemical sensors showed a limited linearity range, generally two or three orders of magnitude, confining the field of application to specific matrices, e.g., only teas.…”
Section: Resultsmentioning
confidence: 99%
“…Several examples of electrochemical sensors have been reported for the quantitation of CAF and THEO. The most common analytical parameters, such as linearity range, LOD and application media of a series of literature data were compared and resumed in Table 8 [ 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ]. Most of the electrochemical sensors showed a limited linearity range, generally two or three orders of magnitude, confining the field of application to specific matrices, e.g., only teas.…”
Section: Resultsmentioning
confidence: 99%
“…The sensor has a wide linear range, low detection limit, good reproducibility, stability, and selectivity, and has been successfully used for the determination of rutin in real solutions. [ 166 ] Das et al [ 167 ] developed a low‐cost electrode for the determination of caffeine in green tea using MIPs technology. Using acrylonitrile (AN) and EGDMA to form MIPs modified TiO 2 nanocubes, a molecularly imprinted electrode sensor was synthesized.…”
Section: Mips For Plant Active Componentsmentioning
confidence: 99%
“…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 ].…”
Section: Mip Structure and Functionmentioning
confidence: 99%