Loops ACIDizing sampled material

For water-rinsed and acid-leached rice husks. Fig. 13.11a, b shows lower nitrogen capacity and no apparent desorption hysteresis loop, indicating that the porosity of the two raw materials is relatively lower than that of heat-treated rice husks samples. For carbonized in nitrogen and burned in air atmosphere husk samples. Fig. 13.11c, d shows that the isotherms are of type 1 according lUPAC classification. The hysteresis loops (associated with capillary condensation) found in both samples are of various shapes. According to these observations, BRHA is mainly microporous with narrow pore size distribution while WRHA contains both micro- and mesopores. 

Once you have recorded or extracted the raw source material, you will need to trim the file into a shorter sample and then ACIDize it. This can be done in any audio editing application (such as Sound Forge), but unless you have very special needs or just love working with your sound editor, it is recommended that you use AQD to create new loop fdes. The reason for this is that you can edit, ACDDize, and render new loop files all at once with ACDD. 

Kritsunankul et al. [76] proposed flow injection online dialysis for sample pretreatment prior to the simultaneous determination of some food additives by HPLC and UV detection (FID-HPLC). For this, a liquid sample or mixed standard solution (900 pL) was injected into a donor stream (5%, w/v, sucrose) of a FID system and was pushed further through a dialysis cell, while an acceptor solution (0.025 mol/L phosphate buffer, pH 3.75) was held on the opposite side of the dialysis membrane. The dialysate was then flowed to an injection loop of the HPLC valve, where it was further injected into the HPLC system and analyzed under isocratic reversed-phase HPLC conditions and UV detection (230 nm) (Figure 24.6). The order of elution of five food additives was acesulfame-K, saccharin, caffeine, benzoic acid, and sorbic acid, with an analysis time of 14 min. This system has advantages of high degrees of automation for sample pretreatment, that is, online sample separation and dilution and low consumption of chemicals and materials. 

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