• Title/Summary/Keyword: Dithizone

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Residual Mercury in Soy-Bean Sprouts by Steps of Cooking (조리과정에 따른 콩나물 중의 수은잔유량)

  • Chung, Jun-Yong;Park, Jung-Duck;Chung, Kyou-Chull
    • Journal of Preventive Medicine and Public Health
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    • v.19 no.2 s.20
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    • pp.307-313
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    • 1986
  • This study was carried out in order to estimate the residual amount of mercury in soy-bean sprouts in each steps of cooking. Samples were taken at markets and also cultured at home without applying the mercury containing pesticides as control. Mercury was determined by dithizone method. It was disclosed that soy-bean sprouts purchased at markets contained $1.32{\pm}0.274ppm$, 13 times as high as the maximal allowable concentration of mercury in food recommeded by Ministry of Health and Social Affairs. Mercury contents, however, dropped off steadily by steps of cooking: rinsed with distilled water and boiled in distilled water showing concentrations of $0.11{\pm}0.025ppm$ in boiled sprouts and $0.03{\pm}0.022ppm$ in sprout-soup. These values were not statistically different from those in control samples, and not exceeded the maximal allowabled levels of mercury in food. It can be concluded that the use of mercury containing pesticides in the cultivation of soy-bean sprouts is not so serious problem as it has been suspected in respect of food contamination, but careful attention must be paid to indiscriminate use of mercury containing pesticides as they may contaminate air, water and soil and secondarily bring harm to human health through food chains.

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Determination by Neutron Analysis of Mercury Residues in Foodstuffs (방사화분석법에 의한 식품중의 잔류수은의 정량)

  • Chun, Sea-Yull
    • Korean Journal of Food Science and Technology
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    • v.3 no.3
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    • pp.135-143
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    • 1971
  • In order to find out the degree of mercury contamination of common foodstuffs a series of determination was carried out by a highly sensitive activation analysis and the following results were obtained. 1. Polished rice contained 0.050 ppm of mercury whereas rice bran had 0.095 ppm mercury which was found in other grain in lesser degree. 2. Vegetables and fruits also contained $0.035{\sim}0.190\;ppm$ of mercury with relatively small variations from sample except persimmon which had a considerably higher amount of mercury. 3. Soybean sprout contained an unexpectantly high amount of mercury. 4. Of the animal products chicken and egg contained more mercury than the meat.

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Changes of Cadmium Content Added to Foods During Cooking (식품(食品)에 첨가(添加)한 카드뮴의 조리(調理)에 의(依)한 함량(含量) 변화(變化))

  • Park, Geum-Soon;Lee, Man-Jeung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.8 no.1
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    • pp.43-50
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    • 1979
  • This experiment was designed to investigate the changes of cadmium content of different foods during cooking. 1. By addition of standard cadmium to different foods, recovery percentage was 98.3% by Dithizone Method and 97.9% by APDC. 2. At various pH levels the highest cadmium was extracted at pH 1.0. 3. Cadmium was contaminated at first to six hours of immersion and did not increased after this period. 4. About 2/3 of added cadmium was extracted by different concentrations of acetic acid.

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Some Statistical Considerations for the Estimation of Urinary Mercury Excretion in Normal Individuals (정상인의 요중 수은배설량 추정의 통계학적 연구)

  • Park, Hee-Sook;Chung, Kyou-Chull
    • Journal of Preventive Medicine and Public Health
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    • v.13 no.1
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    • pp.27-34
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    • 1980
  • Purpose of this study is to find out proper means of estimating the urinary mercury excretion in the normal individuals. Whole void volume was collected every 2 hours beginning from 6 o'clock in the morning until 6 o'clock next morning. Mercury excretion in each urine specimen was measured by NIOSH recommended dithizone colorimetric method (Method No.: P & CAM 145). Urinary concentration of mercury was adjusted by two means: specific gravity of 1.024 and a gram of creatinine excretion per liter of urine comparing the data with the unadjusted ones. Mercury excretion in 24-hour urine specimen was calculated by adding the amounts measured with the hourly collected specimens of each individual. Statistical analysis of the urinary mercury excretion revealed the following results: 1. Frequency distribution curve of mercury excreted in urine of hourly specimens was best fitted to power function expressed in the form of $y=ax^b$. Adjustment of the urinary mercury concentration by creatinine excretion was shown to be superior($y=1674x^{-1.52},\;r^2=0.95$) over nonadjustment($y=2702x^{-1.57},\;r^2=0.92$) and adjustment by specific gravity of 1.024($y=4535x^{-1.66},\;r^2=0.93$). 2. Both log-transformed mercury excretion in hourly voided specimens and mercury excretion itself in 24 hour specimens showed the normal distributions. 3. The frequency distribution of mercury adjusting the urinary concentration of mercury by creatinine excretion was best fitted to a theoretical normal distribution with the sample means and standard deviation than those unadjusted or adjusted with specific gravity of 1.024. 4. Average urinary mercury excretions in 24-hour urine specimen in an individual were as follows: a) Unadjusted mercury excretion mean and standard deviation : $$18.6{\pm}13.68{\mu}gHg/l$$. median : $$16.0\;{\mu}gHg/l$$. range : $$0.0-55.10\;{\mu}gHg/l$$. b) Adjusted with specific gravity mean : $$20.7{\pm}11.76\;{\mu}gHg/l{\times}\frac{0.024}{S.G-1.000}$$ median : $$20.7\;{\mu}gHg/l{\times}\frac{0.024}{S.G-1.000}$$ range : $$0.0-52.9\;{\mu}gHg/l{\times}\frac{0.024}{S.G-1.000}$$ c) Adjusted with creatinine excretion mean and standard deviation : $$10.5{\pm}6.98\;{\mu}gHg/g$$ creatinine/l median : $$9.4\;{\mu}gHg/g$$ creatinine/l range : $$0.0-26.7\;{\mu}gHg/g$$ creatinine/l 5. No statistically significant differences were found between means calculated from 24-hour urine specimens and those from hourly specimens transformed into logarithmic values. (P<0.05).

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Measurement conditions for cadmium in urine by flame atomic absorption spectrophotometry (불꽃원자 흡수광법에 의한요중 카드뮴 배설량 측정의 지적조건)

  • Choi, Ho-Chun;Chung, Kyou-Chull
    • Journal of Preventive Medicine and Public Health
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    • v.17 no.1
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    • pp.269-279
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    • 1984
  • The optimum conditions for measuring cadmium content of less than 0.2ppm by flame atomic absorption spectrophotometry were investigated. The cadmium in urine was extracted by APDC-MIBK for the analysis by atomic absorption spectrophotometry after ashing them by a wet method. 1. Optimum conditions by APDC-MIBK and DDTC-MIBK extractions. The acidic aqueous solution was prepared with appropriate amount of 0.IN nitric acid, 5ml of 25% (W/V) sodium potasstum tartarate, 10ml of saturated ammonium sulfate, and 2ml of 2% APDC(or 1 ml of 5% DDTC) chelating agent. The total volume of solution was adjusted to 55 ml and pH to $2{\sim}10$ (or$7{\sim}10$). The aqueous solution was extracted with 10ml MIBK. Concentration of Triton X-100 did not effect the absorbance for APDC-MIBK extraction of cadmium, but absorbance decreased as the concentration increased for DDTC-MIBK extraction. The sensitivity and detection limits for the cadmium determination from APDC-MIBK extraction were 0.0038ppm and 0.0102, 0.0022ppm and 0.0116 for DDTC-MIBK, and 0.0132ppm and 0.0034 for 0.1N nitric acid. APDC-MIBK and DDTC-MIBK extractions were 3 times higher than 0.1N nitric acid for the sensitivity. 2. Excretion of cadmium in 24-hour urine by APDC-MIBK extraction. Determination of cadmium in urine by atomic absorption spectrophotometry of A.A. (Cd=2 mA) mode and B.C. (Cd=4 mA) mode and B.C. (Cd=4mA, $D_2=20mA$) mode showed some difference (p<0.05). The difference of cadmium determination and recovery according to method of standard additions and standard calibration curve method in urine was not significant (p>0.05, $93.48{\pm}11.78%,\;94.83{\pm}22.00%$). Excretion of cadmium in 24-hour urine collection from normal person and variance analysis within measurement variation was not significant (p>0.05), but between interindividual was significant (0.05). Determination of cadmium content by two different methods of flame atomic absorption spectrophotometry and dithizone colorimetry showed that the results from the two methods can be described by a regression line with a good correlation (y=1.0153x-0.2927, x=Cd by D.C., y=Cd by A.A.S., $r=0.8651^*$, p<0.01).

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