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No significant ion suppression effects were observed with the developed sample deposition technique, and the method was found to be reproducible.
When used as anode material for lithium-ion batteries (LIBs), the developed sample exhibits outstanding electrochemical properties of large reversible capacity, high rate capability, and stable durability (750 mAh g−1 at 100 mA g−1 after 100 cycles).
Thus, analyte enrichment would be required, which is easily incorporated into the developed sample preparation protocol.
The data in Figure 2 demonstrated that the developed sample preparation strategy is sufficiently quantitative and reproducible for the 60 samples, which laid a solid foundation for ion-current-based quantification.
From the comparison of Fig. 5a with Fig. 3, it is concluded that the developed sample clean-up procedure strongly contributes to the decrease of the matrix effect for all compounds.
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The model updating process using the developed sampling scheme can be terminated once the user defined confidence target is satisfied.
In the next section, the effectiveness of the developed sampled-data estimation approach for the neural network of neutral type is shown by a numerical example.
Compared to most of conventional samplers, the developed sampler has several significant merits, e.g. small shrinking volume, large working space and low power consumption.
The developed sampling strategy was compared with two existing strategies: (1) basic sampling strategy with uniform distribution in Cartesian space, and, (2) advanced adaptive sampling strategy developed by Yu et al. (2013).
Table 3 shows the DSC parameters of the above developed sample.
We report kinetic measurements for both luminol chemiluminescence and the reaction of pyruvate with nicotinamide adenine dinucleotide, catalyzed by lactate dehydrogenase, to demonstrate the feasibility of using a levitated drop in conjunction with the developed capillary sample handling system as a microreactor.
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