Smart Method

A smart method for non-destructive testing of C02 content based on infra-red absorption has been described by Nix et al.34. Although working reliably with samples containing high levels of C02 (bottled carbonated beverages), this method demonstrated limitations in terms of sensitivity and sample optical properties. 

The use of supported reagents offers an attractive option for improving the quality of products prepared using solution-phase chemistry. Additionally, liquid-phase synthesis, for example using PEG, provides opportunities to combine some of the benefits of solid-phase approaches with the versatility of solution-phase synthesis. Smart methods such as resin capture for isolating specific compounds from mixtures of products will also help to increase the utility of solution-based approaches. This chapter encompasses developments in each of these areas. 

Smart Methods Index Supports natural language query of database to identify analytical methods for particular waste site pollutants (prototype) PROLOG Micro R. Olivero/Lockheed D. Bottrell/EPA/EMSL... 

ESES - ENVIRONMENTAL SAMPUNG EXPERT SYSTEM SMI - SMART METHOD INDEX... 

Coreduction of mixed ions is the simplest but smart method to synthesize bimetallic nanoclusters. However, this method is not always successful. Au/Pt bimetallic nanoclusters were prepared by citrate reduction by Miner et al, from the corresponding two metal salts, such as tetrachloroauric(III) acid and hexachloropla-tinic(IV) acid. Reduction of the metal ions is completed within 4 h after the addition of citrate. They studied the formation of colloidal dispersion by ultraviolet-visible (UV-Vis) spectroscopy, which showed that the spectrum is not the simple sum of those of the two monometallic nanoclusters, indicating that the bimetallic nanoclusters have an alloy structure. 

A smart method to introduce pH sensitivity to LLCs is to cmijugate a sensitizer chromophore to a cyclen ligand system which can be protonated. Parker has shown that phenanthridine derivatives 7 are suitable donors [25] (see Sect. 2.1, Table 1). 

When a compromise was reached in the process of prioritisation of the IRIDM inputs, a relative importance of i-th of them was expressed by W. Within each input the appropriate attributes were identified and the prioritisation of these attributes was made by assigning weight A.j for each y-th attribute of the i-th input. For assessment of both and Ay the SMART method could be used. However, this approach involves a degree of subjectivity due to the necessity of the relative weights determination. In order to remedy these difficult the SMARTER method, reduced only to the rank order criteria, was applied. 

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