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PC 카메라를 이용한 수돗물의 과망간산칼륨소비량 적정 자동화
이형춘,Lee, Hyeong-Choon 한국환경보건학회 2008 한국환경보건학회지 Vol.34 No.1
An automatic titration system using a PC-camera with a color filter on its lens was used in the $KMnO_4$ consumption test of tap water and distilled water in relation to blank tests. The very faint pink color of titration end point could be effectively detected by using a yellow cellophane paper as a color filter. The average hue value (Havg) of 192 pixels in the image of the sample solution being titrated was computed and followed up at regular time intervals during titration in order to detect the titration end point. The Havg decrease of 2 degrees from the average of first 10 Havgs was regarded as reaching the end point. The volume of 0.01N $KMnO_4$ consumed by a tap water sample was $0.728{\pm}0.022ml$ in manual titration and $0.735{\pm}0.013ml$ in automatic titration (p=0.580). The volume of 0.01N $KMnO_4$ consumed by a distilled water sample was $0.383{\pm}0.015ml$ in manual titration and $0.367{\pm}0.015ml$ in automatic titration (p=0.252). The high p-values for t-test suggested that there were good agreements between manual and automatic titration data and the automatic method proposed in this article was considered to effectively replace the manual titration.
이형춘,Lee, Hyeong-Choon 한국환경보건학회 2012 한국환경보건학회지 Vol.38 No.2
Objectives: The objective of this study was to investigate whether the ammonia nitrogen concentration of aqueous samples such as drinking water can be determined by measuring the saturation of the samples colored by indophenol method. Methods: A color saturation measurement system was constructed by connecting a notebook computer to an image acquisition device composed of a PC camera and a light source, and was then used to measure the saturation of samples colored by blue indophenol complex. Results: Between two available light sources, a fluorescent lamp was selected due to its demonstrating better linearity between color saturation and ammonia nitrogen concentration. Prediction by quadratic regression was more accurate than by linear regression, and prediction by quadratic regression in the concentration range of 0.1-1.0 $mg/l$ was more accurate than in the concentration range of 0.0-1.0 $mg/l$. Regression-based predictions over 0.25 $mg/l$, 0.55 $mg/l$ and 0.75 $mg/l$ concentrations were implemented both by spectrophotometric method and by measuring color saturation. In the case of 0.25 $mg/l$, the predicted concentration by spectrophotometric method was $0.256{\pm}0.0076\;mg/l$ and the predicted concentration by measuring color saturation was $0.246{\pm}0.0086\;mg/l$ (p=0.051). In the case of 0.55 $mg/l$, they were $0.561{\pm}0.0068\;mg/l$ and $0.564{\pm}0.0166\;mg/l$ (p=0.660). In the case of 0.75 $mg/l$, they were $0.755{\pm}0.0139\;mg/l$ and $0.762{\pm}0.0088\;mg/l$ (p=0.215). Conclusions: There were no statistically significant differences (p>0.05) between the data from the two methods in all three of the concentrations. Therefore, the color saturation measurement method proposed in this paper may be considered applicable for determining the ammonia nitrogen concentration of aqueous samples such as drinking water.
Personal Computer 를 利用한 境因子의 計測 및 制細System 에 關한 硏究
李炯春(Hyeong Choon Lee),金泰植(Tae Sik Kim) 한국환경보건학회 1987 한국환경보건학회지 Vol.13 No.1
Persona1 computer based measurement and control sy~tem was constructed and tested in order to flexibly apply it to laboratoy experiments in which environmental factors such as temperature, humidity, pH, DO and gases should be measured and controlled. Persona1 computer FC-80 was successively interfaced to the input-output system made up of PPI, A/D converter, D/A converter, programmable timer and USART boards. To test the system, pH control experiment was executed and the pH of the solution could be measured, expressed on the monitor and controlled at constant value.
PC 카메라를 이용한 식초, 우유 및 탁주의 산도 적정 자동화
이형춘(Hyeong?Choon Lee) 한국식품영양과학회 2007 한국식품영양과학회지 Vol.36 No.12
PC 카메라를 이용하여 식초, 우유 및 탁주의 산도 적정을 자동화하였다. 피적정액의 화상에서 선택된 144개 pixel의 hue값의 평균값을 일정 시간 간격으로 산출하고, 이 평균값의 변화를 추적하여 적정액의 공급을 제어하는 방법을 사용하였다. 식초와 우유의 적정에서는 hue값 평균값이 적정전보다 5이상 증가하는 것을 종말점으로 하였으며, 탁주의 경우에는 70이상 증가하는 것을 종말점으로 하였다. 이 방법을 식초, 우유 및 탁주의 산도 적정에 적용한 결과, 식초의 경우에는 수동적정과 자동적정의 0.1 N NaOH용액의 소요량이 각각 21.409±0.066 mL 및 21.403±0.055 mL였고, t-test 결과 p값이 0.841이었다. 우유의 경우에는 수동적정과 자동적 정의 0.1 N NaOH용액의 소요량이 각각 1.390±0.025 mL 및 1.388±0.027 mL였고, p값은 0.907이었다. 탁주의 경우에는 수동적정과 자동적정의 0.1 N NaOH용액의 소요량이 각각 4.738±0.028 mL 및 4.752±0.037 mL였고, p값은 0.518이었다. 세가지 경우 모두 유의수준 0.05에서 유의차가 인정되지 않았으므로(p>0.05), 본 연구의 자동적정 방법을 산도 적정에 응용할 수 있다고 생각되었으며, 색변화를 이용하여 종말점을 검출하는 대부분의 적정에 무리 없이 적용할 수 있다고 생각되었다. PC-camera based automatic titration was executed in the acidity analyses of vinegar, milk and Takju. The average hue value (Havg) of 144 pixels in the image of the sample solution being titrated was computed and followed up at regular time intervals during titration in order to detect the titration end point. The Havg increase of 5 degrees from the first Havg was regarded as reaching at the end point in the cases of vinegar and milk. The Havg increase set up to detect the end point was 70 degrees in the case of Takju. In the case of vinegar, the volume of added titrant (0.1 N NaOH) was 21.409±0.066 mL in manual titration and 21.403±0.055 mL in automatic titration (p=0.841). In the case of milk, it was 1.390±0.025 mL in manual titration and 1.388±0.027 mL in automatic titration (p=0.907). In the case of Takju, it was 4.738±0.028 mL in manual titration and 4.752±0.037 mL in automatic titration (p=0.518). The high p values suggested that there were good agreements between manual and automatic titration data in all three food samples. The automatic method proposed in this article was considered to be applicable not only to acidity titrations but also to most titrations in which the end points can be detected by color change.