In this study, simple preprocessing method for the analysis of headspace phase has been examined. The odor causing components were verified from the analysis of amine species emitted from squid waste. The concentrations of odor causing chemical components were confirmed in terms of four different sample treatments (treatment at 60℃, sonification, pressure treatment, addition of microorganism). HS-autosampler/GC/FID has been used for the analysis of chemical components and standard material addition method was utilized for quantification. The analysis results indicated that the major odor causing amine compounds emitted from squid waste were DMA and TMA. In addition, it was confirmed TMA showing higher malodor concentration predicted was relative malodor causing chemical component. Sonification and pressure treatment reduced the production of DMA and TMA by lowering the activity of microorganisms, while the addition of microbial accelerated the metabolism of microorganisms leading to the increased production of DMA and TMA.
In this study, the removal characteristics of reduced sulfur compounds (RSC) were investigated against activated carbon (AC) by means of electric cooling and thermal desorption. To this end, three types of AC materials were selected and tested against gaseous RSC standards prepared at 50 ppb concentration. Each of these AC materials designated with its own target odorant compounds was tested for the removal rate of RSC by comparing their quantities between prior to and after passing the adsorption tube. All the analysis of RSC was made by Gas Chromatography (GC)/Pulsed Flame Photometric Detector (PFPD) combined with Air Server (AS)/Thermal Desorber (TD). The rate of RSC removal was quantified as a function of RSC loading time (Exp. 1) and of RSC flow rate into TD (Exp. 2). The results of Exp. 1 showed that the adsorption of RSC increased with RSC loading time (from as little as 1 to 20 min). In Exp. 2, the adsorption of RSC also increased in relation to RSC flow rate (10 to 100 mL/min). The removal rate of RSC was also distinguished by chemical properties such as the compounds of low molecular weights (H₂S and CH₃SH) vs. high ones (DMS and DMDS).
In this study, the most effective salting-out effect has been examined in terms of application of various inorganic salts (NaCl, Na₂S0₄, NaHSO₃) using Alkali impregnated filter-Headspace-GC/FID. Five various VFAs (propionic acid (99.5%), r-butyric acid (99%), butyric acid (99%), i-valerie acid (99%), valerie acid (99%)) have been used. VFAs have been analyzed by adding 30%, 70%, 100%, 150%, 200% of different inorganic salts with HS-GC/FID. The efficiency of salting-out effect was obtained from the values of peak area in chromatogram. The most effective salting-out effect for applired inorganic salts was observed at 100% saturation. It was confirmed NaHSO₃ for salting-out effect was the best among inorganic salts. In addition, NaHSO₃ showed more efficiency of salting-out effect than NaCl as molecular weight of VFAs increases.
We studied an analytical method for 4 organic acids will be regulated in 2010 using on-line thermal desorber with gas chromatograph/flame ionization detector. Results for each compounds showed good linearity(r² > 0.99) and good precision(RSD < 3%). Minimum detection limit values are about 2~3ppb when we sampled 1.5 L. These values will be reduced to 0.4~0.5 ppb when sampling 10L. We analyzed the 56 ozone precursor standard gas using the same method to see if there are any peaks to be overlapped in ambient air and the results showed that there is no peak overlapped. The linearity, precision and MDL in this study satisfied the guideline of Korean standard method for 4 organic acids. This analytical method in this study could be utilized effectively as on-line monitoring instrument to detect 4 organic acids.
In this study, the recovery rate of thermal desorbing (TD) method was investigated in relation to sample concentration and loading volume of reduced sulfur compounds (RSC). All the analysis of RSC was made by gas chromatography/pulsed flame photometric detector (GC/PFPD) combined with air server/thermal desorber (AS/TD). The RSC measurement data were obtained by loading gaseous RSC standards prepared at 4 concentrations (10, 20, 50, 100 ppb) at 6 injection volumes (40, 80, 200, 400, 800, and 1200 mL). The recovery rates of each RSC were computed in terms of relationship between expected vs. measured values. According to our analysis, the following conclusions can be drawn. First, the results were less stable at short loading time (1 and 2 min at 40 mL/min) with reduced recovery rate, especially with light RSCs (H₂S and CH₃SH). On the other hand, at sufficiently high loading volume, their quantification was limited by off-scale peaks (at a near 50 ng) due to the breakthrough of cold trap in TD. Thus, the optimization of TD-based analysis may be considered as a prerequisite for analyzing the RSC in a reliable manner.
Odor management area was introduced by Odor prevention laws in 2004. Odor is generated a lot of sources. It is generated from various process as well as stack outlet. So it is hard to control odor. The ministry of environment develops the system to control odor. Nineteen areas were selected as Odor management area. Odor management area should be conducted for periodical research on the actual condition. Odor is normally measured by Odor analysis method. However, there are some difficulties to conduct by Odor management area because of measurement frequency, limitation of areas and high cost. Therefore we need to figure out how to reinforce this performance in Odor management area. So we have checked possibility of monitoring system with realtime odor monitoring, electron sensor, mobile communication and odor modeling system. The Odor monitoring system is consist of realtime monitoring system and electron sensor system. The Odor monitoring system could be checked for odor concentration and source of odor by accessing internet and mobile communication.