• 제목/요약/키워드: Dithizone

검색결과 25건 처리시간 0.021초

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

  • 정준용;박정덕;정규철
    • Journal of Preventive Medicine and Public Health
    • /
    • 제19권2호
    • /
    • pp.307-313
    • /
    • 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.

  • PDF

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

  • 전세열
    • 한국식품과학회지
    • /
    • 제3권3호
    • /
    • pp.135-143
    • /
    • 1971
  • 유기수은제 농약은 도열병 방제의 목적으로 다량 살포되는데 그 결과로 식품중의 수은잔류량증가로 그 피해가 예견되어 수은함량을 검색할 필요성이 요구된다. 그러나 종래 분석방법인 dithizone 비색법은 시료 분해시 수은 화합물의 손실, 유출물의 변동으로 인하여 정확도를 기대하기 어려운점이 있으나 본 연구에서 시도한 방사화 분석법에 의하면 극미량도 고감도로 정량 할 수가 있다. 본 실험에서는 곡류, 야채, 육류, 과일, 계란을 산지별로 시료를 수집하여 건조, 포장하여 vial에 넣고 열중성자속 $3.8{\times}10^{12}\;n/cm\;sec$에 15시간 조사하였다. 이 시료를 Bethge 장치로 분해시켜 수은을 증류하여 TMC 100 Channel pluse height analyzer로 $^{203}Hg$ 방사능율 0.279 MeV Photopeck로 측정하였다. 시료별로 수은 함량은 곡류 $0.033{\sim}0.250\;ppm$, 야채 $0.012{\sim}0.190\;ppm$, 닭고기 $0.04{\sim}0.07\;ppm$, 과일 $0.085{\sim}0.145\;ppm$, 계란$0.051{\sim}0.165\;ppm$, 콩나물 0.123 ppm 됨을 알게 되었다.

  • PDF

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

  • 박금순;이만정
    • 한국식품영양과학회지
    • /
    • 제8권1호
    • /
    • pp.43-50
    • /
    • 1979
  • cadmium으로 오염(汚染)된 식품(食品)이 조리(調理)하는 과정에서 어떻게 변하는가를 알아보기 위(爲)하여 원자흡광분석법(原子吸光分析法)을 이용(利用)해서 실험(實驗)한 결과(結果)는 다음과 같다. 1. 쌀에 cadmium를 첨가(添加)한 다음 회수실험(回收實驗)한 결과(結果) Dithizone법(法)으로는 평균(平均) 98.3%, APDC법(法)은 97.9%이고 반복실험(反復實驗)의 결과(結果) 재현성(再現性)도 매우 좋았다. 2. 공시액(供試液)을 일정시간(一定時間) 방치(放置)할 때는 용액(溶液)의 pH를 적어도 1.0정도(程度)의 강산성(强酸性)으로 하는 것이 좋겠다. 3. 쌀을 cadmium용액(溶液)에 침지(浸漬)하였더니 경시적(經時的)으로 cadmium의 오염도(汚染度)가 증가(增加)하였으나 6시간(時間) 이후(以後)는 별로 변화(變化)가 없었다. 4. 쌀, 김, 미역, 미꾸라지, 홍합 등에 cadmium을 첨가하고 각종(各種) 농도(濃度)의 초산(醋酸)으로 침출(浸出)시킨 결과(結果)는 식품(食品)에 따라 다소(多少) 차(差)가 있기는 하나 거의 1/3정도(程度) 항존량(恒存量)이 감소(減少)하였다.

  • PDF

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

  • 박희숙;정규철
    • Journal of Preventive Medicine and Public Health
    • /
    • 제13권1호
    • /
    • pp.27-34
    • /
    • 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).

  • PDF

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

  • 최호춘;정규철
    • Journal of Preventive Medicine and Public Health
    • /
    • 제17권1호
    • /
    • pp.269-279
    • /
    • 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).

  • PDF