The air dilution olfactory method to measure complex odors needs to store and carry odor samples from the field sampling until the analysis in laboratories. Until the analysis of sample in the laboratory, odor dilution factor (odor sensitivity) in the sample bag may decrease over time depending on the characteristics of each odor substances. This is one of the limitation for the air dilution olfactory method. Thus, the air dilution device enable to measure without loss in complex odors of samples. Recently, many studies on the performance test of on-site air dilution devices, i.e., field olfactometer, has been conducted to figure out the feasibility of the field olfactometers. In this study, seven odor samples were collected from five odor emission source sites. And comparative analysis with the air dilution olfactory method was carried out to assess the field applicability of the olfactometer. As results, the performance of the field olfactometer used in this study is regared as the affordable method. The dilution factors from between two methods showed the similar values, indicating low values of standard deviations. In order to ensure the accuracy and precision of measurement data using the field olfactometer, methodology minimized variables (that may affect measurement) needs to establish.

Environmental fundamental facilities have different odor emission characteristics depending on the type of treatment facilities. To overcome the limitations of the olfactometry method, research needs to be conducted on how to calculate the dilution factor from the individual odor concentrations. The aim of this study was to determine the air dilution factor estimated from manually measured concentration data of individual odor substances (22 specified odor species) in three environmental treatment facilities. In order to calculate the optimum algorism for each environmental fundamental facility, three types of facilities were selected, the concentration of odor substances in the exhaust gas was measured, and the contribution of the overall dilution factor was evaluated. To estimate the dilution factor, four to six algorism were induced and evaluated by correlation analysis between substance concentration and complex odor data. Dilution factors from O municipal water treatment (MWT) and Y livestock wastewater treatment (LWT) facilities showed high level of dilution factors, because concentration levels of hydrogen sulfide and methylmercaptan, which had low odor threshold concentrations, were high. In S food waste treatment (FWT) facility, the aldehyde group strongly influenced dilution the factor (dominant substance: acetaldehyde, i-valeraldhyde and methylmercaptan). In the evaluation of four to six algorism to estimate the dilution factor, the vector algorism (described in the text) was optimum for O MWT and Y LWT, while the algorism using the sum of the top-three dominant substances showed the best outcome for S FWT. In further studies, estimation of the dilution factor from simultaneously monitored data by odor sensors will be developed and integrated with the results in this study.

Fecal calprotectin is a noninvasive marker of gut inflammation and has been widely utilized in human gastrointestinal diagnostics. This marker, however, has not been extensively utilized in porcine samples. The aim of this study was to optimize a protocol for the extraction of porcine fecal calprotectin, and to the best of our knowledge this is the first study to be conducted in this regard. Freshly collected swine fecal samples were used in this study. We determined the variability of three commercial ELISA assays in the recovery of porcine fecal calprotectin. We further studied the effect of dilution factor and roller shaker homogenization on the yield of calprotectin from swine fecal samples. Calprotectin recovery was significantly different(p<0.05) across the three commercial assays with MBS033848 having a greater recovery compared to DAEF-012 and calprest. Fecal calprotectin yield increased with an increase in dilution factor with maximum recovery at 1:250. Furthermore, homogenization of fecal sample extracts using a roller shaker for tubes for 30 min led to a 30.75% relative increase in calprotectin yield. Further increase in shaking time(at 60 min) led to a reduced calprotectin recovery. Calprotectin recovery ratio was 130.8% and 101.4% at 30 min and 60 min homogenization respectively. In our conclusion, we observed that various factors affect the recovery of porcine fecal calprotectin, and therefore the researcher should double check certain parameters in regard to the type of kit, the dilution factor and homogenization time if reliable and reproducible results are to be obtained. Results of the present study provide useful information on a non-invasive protocol to veterinarians and researchers in examining and monitoring swine gut healthusing the fecal calprotectin.

본 연구에서는 현행 악취공정시험방법에 나타나있는 공기희석 관능법을 사용하여 물질농도와 희석배수와의 관계를 살펴보기 위해 프로피온산, 뷰틸산, 발레르산, i-발레르산 및 i-뷰틸알코올에 대한 물질농도와 희석배수를 측정하였다. 또한 상관관계식을 이용하여 지정악취물질의 농도 규제치의 적정성을 검토하였다. 1. 판정인에 의해 측정된 대상물질의 물질농도와 희석배수의 상관관계는 식 Log C = Af·Log D + 0.5에 의해 적절하게 나타났으며, 총 22종의 지정 악취물질별 상관관계식의 기울기 값의 범위는 0.9023~1.2012으로 이소발레르알데하이드가 가장 작고, 뷰틸알데하이드가 가장 큰 것으로 나타났다. 2. 물질별 관계식으로부터 산출된 희석배수 15와 20에 해당되는 물질농도와 최소감지농도와의 비를 구한 결과, 각 물질의 농도비가 희석배수 15 및 20과 유사한 수치를 나타내 물질별 관계식이 의미가 있는 것으로 추정되었다. 3. 물질별 관계식으로부터 산출된 희석배수 15와 20에 해당되는 물질농도와 현행 물질농도 기준치와 의 비교를 통하여 기준치의 적정 수준 여부를 검토 해본 결과, 프로피온산과 뷰틸산의 경우는 기준치가 상대적으로 낮게 설정된 것으로 판단되며, 발레르산, 이소발레르산과 뷰틸알코올의 경우 물질농도 기준치가 적정 수준인 것으로 추정된다. 본 연구결과는 현행 악취방지법의 부지경계선에서 복합악취 농도 규제기준에 대한 개선방안 및 지정악취 물질들의 물질농도와 악취강도, 희석배수간의 상관관계 및 특성연구 등의 기반 자료로 사용될 수 있을 것이다.

This study aims to understand the correlation between odor intensity and dilution factor using the Air Dilution Olfactory Method, which is suggested in the Standard Method of Odor Compounds, by measuring odor intensity and dilution factor for fatty acids and i-butyl alcohol. For the measurement, 18 panel members were selected through a panel test, and odor intensity and dilution factor by substance produced from the selected panel were estimated. The estimation showed that the correlation of odor intensity with dilution factor for a fatty acids and i-butyl alcohol can be reasonably expressed by the equation I = A·log D + 0.5 (I : odor Intensity, D : dilution factor, A : material constant). The material constant was in order of propionic acid 2.0709, n-butyric acid 1.6006, n-valeric acid 1.3369, i-valeric acid 1.182, i-butyl alcohol 1.4326. The geometric average of increased dilution factor for the 5 compounds is about 4.8 time, 3.0 time for propionic acid and 7.0 tme for i-valeric acid due to odor intensity 1 increasing. It is suggested that the result of this study could be used as a base data for research on measures to improve the regulation standards for complex odor concentrations at a boundary sites in operation.

The aim of this study is to analyze error cases induced during the proficiency test of certified odor measurement agencies. In the case of the homogeneity test performed in three panel groups, the geometric mean dilution factor of the site boundary PTMs(proficiency testing materials) was 1.4 ± 0.2, 1.7 ± 0.2, 1.8 ± 0.1 and that of the outlet PTMs was 3.7 ± 0.2, 3.7 ± 0.3, 3.7 ± 0.3, respectively. In the case of the stability test for 72 h, the geometric mean dilution factor of the site boundary PTMs was 1.6 ± 0.1 and that of the outlet PTMs was 3.6 ± 0.1. Among error cases induced during the proficiency test of certified odor measurement agencies, the proportion of error cases was in the order of case II(discontinuance of estimation)(40.0%) > case I(error on estimation procedure by panelist)(33.3%) > case III(miswriting of estimation result)(13.3%) > case IV(miswriting of dilution factor) and V(writing of wrong estimation result)(6.7%). Therefore, it seems likely that additional education related to error cases II and I is required.

This study was aimed to evaluate the relationship between the concentration and dilution factor (ratio) using the Air Dilution Olfactory Method, which is suggested in the Standard Method of Odor Compounds, by measuring dilution factor for 5 types of aldehyde compounds and styrene. For the measurement, 13 panelists were selected by several criteria through panel test. Panelists chosen for their closely similar sensitivities provide more reproducible values. The estimation showed that the correlation of the concentration with dilution factor for the 12 compounds including the sulfur compounds, ammonia, and trimethylamine can be reasonably expressed by the equation log C=Af∙logD+F(Af: material constant, F: constant). The result of this study is suggested to be used as a base data for research on measures to improve the regulation standards for complex odor concentration on site boundary in operation, as well as a correlation between the concentration and dilution factor for the designated foul odor substances, and their characteristics.

This study aims to evaluate the relationship with the concentration and dilution factor using the Air Dilution Olfactory Method, which is suggested in the Standard Method of Odor Compounds, by measuring dilution factor for 4 types of sulfur compounds, ammonia, and trimethylamine. For the measurement, 13 panelists were selected by several criteria through a panel test. Panelists chosen for their closely similar sensitiviyies provide more reproducible values. The estimation showed that the correlation of the concentration with dilution factor for the 6 compounds can be reasonably expressed by the equation logC=AfㆍlogD+F (Af: material costant, F: constant). The result of this study is suggested to be used as a base data for research on measures to improve the regulation standards for complex odor concentration on site boundary in operation, as well as a correlation between the concentration and dilution factor for the designated foul odor substances, and their characteristics.