Relative dynamic range

Figure 7.6. (a) Definitions of success rate and relative dynamic range, (b) Model of a proteomics experiment. (See color insert.)... 

Figure 7.7. Results from model simulations showing the effect of protein separation and the effect of MS detection limit and MS dynamic range on the success rate and the relative dynamic range (RDR) for detection of proteins from H. sapiens tissue samples. (See page 219 for text discussion.)...

Based on minimizing the photometric error, what range of absorbances is optimal for absorbance spectroscopy What is the relative dynamic range of absorbance measurements ... 

Advantages and drawbacks are iadicated by + and —, respectively. Thus, + implies iuexpensive, multielement capability, wide dynamic range, relative freedom from iaterferences, and the abiUty to analyze refractory elements. 

The strengths of ICP-OES are its speed, wide linear dynamic range, low detection limits, and relatively small interference effects. Automated instruments with... 

A final practical note involves instrument intensity measurement calibrations. The intensity measurement is self-calibrating relative to the incident beam from the source. However, measurements typically have a dynamic range of 10 -10 , and care must be taken to insure the detection system is linear. A method of calibrating the scatterometer is to characterize a diffuse reflector having a known scattering characteristic. For example, a surface coated with BaS04 makes a nearly Lambertian scatterer, which has a BRDF of 1/Jt at all angles. 

It is important for obtaining precise results that the signals from the samples to be determined should lie on the linear part of the calibration graph as elsewhere within the dynamic range a small change in detector response corresponds to a relatively large range of concentrations. 

For (Li, Cs)Cl, the internal mobilities have been calculated from Eqs. (27) and (28), and are given in Table 8. The SEVs were calculated from the same MD runs and are plotted against the calculated internal mobilities in Fig. 17 with excellent correlation between these calculated quantities. The good correlation of the SEV with the calculated and experimental internal mobilities suggests that relatively short-range cation-anion interaction plays a role in internal mobilities and the separating motion of pairs, that is dissociation, is related to the internal mobilities. In other words, the result of the SEV supports the dynamic dissociation model. 

NPD (FTD) Relatively high sensitivity Specific response Smaller dynamic range than FID Susceptible to operating conditions [31]... 

Although cSFC shows relatively poor figures of merit (speed, sensitivity, detection dynamic range and sample capacity) as well as a limited application area, its applications tend to be unique. These include solutes that can be solvated with pure SCCO2 and quantified with FID. Linear density programs typical in cSFC are ideal for homologous series found in surfactants, many prepolymers, etc. Selectivity in cSFC, which can be achieved by mobile phase density and temperature programming, relies on selective interactions with the stationary phase. Quantitative analysis in cSFC may be rendered difficult by small injected volumes the use of internal standards is recommended. 

For new analytical techniques to prosper, they must have demonstrated applications to real-world samples, with outstanding figures of merit relative to competing approaches. Table 10.24 opposes the prospects of conventional separation procedures and advanced in situ analyses by the currently most qualifying techniques. Lab-on-a-chip (LOC) devices are unlikely to be robust enough to cope with the moderately complex (i.e. dirty ) matrices that are real-life samples. Industrial chemists need to avoid a lot of work for every analyte and every matrix. Obstacles to solid analysis are relatively poor sensitivities, narrow linear dynamic ranges and unavailability of solid standards. The trend... 

CL is observed in the liquid, gas, and solid phases. In the last decade, there has been growing interest in CL as a detection technique for quantitative analysis, particularly in the liquid (aqueous) phase [2, 3], which will be solely dealt with in this chapter, because of the excellent sensitivity and wide dynamic ranges that can be achieved by using relatively simple and inexpensive instrumentation. 

CL as an analytical tool has several advantages over other analytical techniques that involve light (mainly absorption spectroscopy and fluorometry) high detectability, high selectivity, wide dynamic range, and relatively inexpensive instrumentation. 

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