Storage condition effect

Effect of Storage Condition Upon the Mechanical Properties of CTPB 2 Propellant P 426 Effect of Aging (70°) and Average Humidity During Processing/Testing upon, ... 

Fig 8 Effect of Storage Condition Upon the Mechanical Properties of CTPB 2 Propellant... 

The comparison of the light effect on carotenoids in foods is very difficult to carry out because different foods with different isomer compositions are employed at the beginnings of experiments. The presence of large molecules offers some photoprotection to carotenoids in food systems, either by complexation with proteins as found in carrots or acting as a filter to reduce the light incidence. Different storage conditions are often found because different light intensities are used or sometimes they are not even reported and experiments are carried out under air, N2, or in a vacuum. 

Watts, D. C., Combe, E. C. Greener, E. H. (1979). Effect of storage conditions on the mechanical properties of polyelectrolyte cements. Journal of Dental Research, 58, Special Issue C, Abstract No. 18. 

DE Boer J and Smedes F (1997) Effects of storage conditions of biological materials on the contents of organochlorine compounds and mercury. Mar Poll Bull 35 93-108. 

In the case of crop residues, GC determination is carried out on the hydrolyzed product, i.e., methomyl oxime, instead of alanycarb to make effective use of its substantially higher response to the flame photometric detector. In order to prevent vaporization loss of methomyl oxime, ethylene glycol must be added prior to concentration in Section 6.3. In all other concentration operations, full account must also be taken of the high volatility of both alanycarb and methomyl oxime, especially in the process of removal of the last traces of solvents. Alanycarb residue in the sample is stable under storage condition at -20 °C for at least 100 days. 

The purpose of stability testing is to assess the effects of temperature, humidity, light, and other environmental factors on the quality of a drug substance or product. The data produced are used to establish storage conditions, retest periods, shelf loss, and to justify overages included in products for stability reasons. The most useful equation relating temperature and reaction rate is the Arrhenius equation. This equation (27) may be integrated and rewritten as Eqs. (31) and (32). 

KS Murthy, NA Enders, MB Fawzi. Dissolution stability of hard-shell products. Part I the effect of exaggerated storage conditions. Pharm Technol 13(3) 72-86, 1989. 

Ciocca DR, Adams DJ, Bjercke RJ, Sledge GW, Edwards DP, Chamness GC, Mcguire WL (1983) Monoclonal antibody storage conditions, and concentration effects on immunohistochemical specificity. J Histochem Cytochem 31 691 696... 

J. Swarbrick, G. Lee, and J. Brom. Drug permeation through human skin I. Effect of storage conditions of skin. J. Invest. Dermatol. 78 63-66 (1982). 

The storage conditions and the length of the studies should be sufficient to cover storage, shipment, and subsequent use. Both drug substances and products should be evaluated under storage conditions that test for thermal stability (temperature effect) and moisture sensitivity (humidity tolerance). 

The technique generally used to minimize the degree of change in crystallinity of the milled product is to eliminate the water or other solvents from the product, usually by packaging the material within a suitable barrier (for example, aluminum foil laminate). Other techniques include the production of a 100% crystalline material, which may eliminate the effects of moisture. This technique, however, may require a secondary production stage of armealing or a period to allow the product to equilibrate under controlled storage conditions. 

Very few of the references in Tables 1-3 attempt any quantitative modelling of their NMR data in terms of cell microstructure or composition. Such models would be extremely useful in choosing the optimum acquisition pulse sequences and for rationalising differences between sample batches, varieties and the effects of harvesting times and storage conditions. The Numerical Cell Model referred to earlier is a first step in this direction but more realistic cell morphologies could be tackled with finite element and Monte Carlo numerical methods. 

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