Quality parameters, correlation

Measurement of precision. Measurement of data quality is valuable for both the analyst and the data user. Least-squares curve-of-best-fit statistical programs usually provide some information on precision (correlation coefficient, standard error of estimate). However, these are not sufficiently quantitative and often overstate the quality parameters of the data. 

Mazza, G. (1983b). Correlations between quality parameters of potatoes during growth and long-term storage. American Potato Journal, 60, 145-159. 

Official quality parameters comprise acidity, peroxide value, halogenated solvents, ultraviolet adsorption and sensory assessment. In addition to these official parameters important roles and high values are attributed to the content of the chlorophyll and carotene pigments and phenol antioxidants, as well as to the correlated induction time value. The significance of olive oil quality parameters is explained in Table 2.1. The phenol content and the related induction period, defined as the delay in the commencement of oxidation in an oil , merits particular comment the longer the induction period, the better the oil. Resistance... 

FAST (Fabric Assurance by Simple Testing) is another well known system. It was developed for quality assessment in the wool garment industry. FAST is less expensive and much quicker than the KES-F because it measures only some aspects of the fabric hand such as compression, bending, extension and dimensional stability at a few given points in a simplified form. The first three parameters correlate fairly well with the perceived softness but no quantitative hand values are calculated. For the evaluation of yam softness, there are several other devices in use, for example the p-Meter (Zweigle), a frictional balance (Reibwertwaage from Schlafhorst) and the F-meter. 

Statistical correlation are established between the oil-quality parameters (also called markers) and consumer test results to establish the threshold value for the marker/markers responsible for product failure. 

Qualitatively, the phase diagram fits very well to the phase diagram known for single-chain polyelectrolytes, the phase boundaries are only slightly shifted. In principle, the parameter space for polyelectrol ffes has far more dimensions, such as the solvent quality parameter, the valency of monomers or counterions, and additional salt concentration in the system. Especially for multivalent counterions, one can expect an even more complex picture, since correlation effects are known to play an important role even for single chains. 

As mentioned earlier, TOC is another important water quality parameter. TOC is equal to the total concentration of organic carbon in water and is reported as milligrams carbon/liter (mg C/L). It serves as a general indicator of the overall quantity of carbon-based matter contained in water. TOC frequently correlates to BOD and COD but is not necessarily always a reliable measure. If a repeatable empirical relationship is established between TOC and BOD or TOC and COD for a particular wastewater, TOC can be used as an estimate of the corresponding BOD or COD. The theoretical TOC (ThCOD) can be calculated stoichiometricaly in similar manner to the ThCOD. 

Table 4. Correlation between UV spectrophotometry results and industrial water quality parameters...

ASM), contrast (CON), entropy (ENT), homogeneity (HOM), and correlation (COR) a mnltiple-layer feed-forward nenral network model was established to predict the three mechanical parameters. These investigators obtained a correlation coefficient above 0.84 in comparison to a conventional method. Also, heated-oil qnalities (acid value, total polar component, and viscosity) were qnantitatively predicted nsing the VIS-NIR hyperspectral analysis and partial least sqnares calibration models (Kazemi et al., 2005). The values for all the quality parameters were above 0.92, indicating a good prediction. 

Coconut shell-based carbon seems to be less susceptible to fouling by NOM and other background water quality parameters, e.g., the precipitation of manganese, iron, or calcium carbonate [28] however, a decrease in adsorption performance correlating with the TOC content of three different natural waters was observed as well [55]. Knappe and Rossner [54] found a reduction of adsorption capacity of up to 60% for the coal-based activated carbons, for the coconut shell-based carbons of around 20%. The presence of NOM in values of 0.5 mg/L TOC resulted in a decrease in adsorption capacity of coconut-based carbons [28,53]. 

Data logging of all critical deposition and vacuum system parameters is available to ensure optimal run-to-run quality control, correlate material and system performance, and assess long term machine stability. 

These suggest the reason that drives scientific research, of the agro-food sector, to devote to the study and analysis of machine vision systems to analyze the internal and external quality characteristics of food, valued according to the optical properties of the products. With a suitable light source, it is possible to extract information about color, shape, size and texture. From these features, it is possible to know many objective aspects of the sample, to be able to correlate, through statistical analysis, the characteristics defined by quality parameters (degree of maturation, the presence of external or internal mechanical defects, class, etc.) (Du Sun, 2006, Zheng et al., 2006). 

The properties of a resin which can be determined by simple test methods are shown in Table 18. The solids content of a resin usually is determined by the so-called dish method at 120°C for 2h [different times and sometimes lower temperatures (105°C) are often used as several variations of this method exist]. Even if it is a rather simple test, some deviations in the results might occur because not only does all water present as solvent in the liquid adhesive resin evaporate, but also a further condensation reaction with further water elimination takes place. Both liberate condensation water and this additional water is evaporated as well. The more severe the conditions during drying, the lower the solids content measured. Also some details of the test, such as the type of oven, the number of dishes in the oven at the same time, or recirculation of air or not, can influence the results of the test. The refractive index can be used as a quick method for the determination of solids content, however, the correlation between these two charaeteristie resin values is sometimes rather poor and not the same for all resins. The density is oifly important when using volumetric adhesive dosing systems, but not as a quality parameter of the adhesive. 

Fig. 3 Correlation of liquor color of DaijeeUng tea with different quality parameters [11]...

Table 3.1 Correlations between Flour Quality Parameters and the Two Methods of Measuring Milling Efficiency Ash and Bran by Image Analysis...

Parameter Correlation for Quality Control, State and Health Monitoring. Apart for using impedance spectroscopy to analyze specific kinetic proper-... 

Andersson, Y. Hedlund, B. Extruded wheat flour correlation between processing and product quality parameters. Food Qual. Prefer. 1990, 2, 201—216. 

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