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초등학생(고학년)의 에너지필요추정량 산출을 위한 4단계 신체활동단계의 간편 판정법 연구
김미정(Mi Jeong Kim),나현주(Hyeon Ju Na),김영남(Young Nam Kim) 대한지역사회영양학회 2011 대한지역사회영양학회지 Vol.16 No.3
The purpose of this study is finding the easy way of 4 categories activity level confirmation for estimated energy requirement calculation. Total of 386, 5th and 6th grade primary school students participated. The time spent on 7 kinds of activity were collected for 1 day by the internet program developed. Judged by the activity coefficient, sedentary were 6.7% and 5.1%, low active 33.2% and 40.4%, active 43.8%, and45.5%, and very active 16.3% and 9.0% for boy and girl, respectively. The highest and significant correlation coefficient between activity coefficient and time spent on activities shown were 0.339 in commute activity for boys, and 0.466 in leisure for girls. The sensitivity of the sedentary conformation by commute hour for boys was 0.79, and that of very active was 0.56. The sensitivity of the sedentary conformation by leisure hour for girls was 0.67, and that of very active was 0.63. The sensitivity of low active and active by 7 different types of activity was quite low, 0.04~0.37. The exact agreement of activity level conformed by easy way developed was 30.8% and 33.7%, for boys and girls, respectively. More accurate way to identify 4 categories activity level needs to be developed, especially sensitive to conformation of low active and active levels. (Korean J Community Nutr 16(3) : 307~314, 2011)
초등학교 5, 6학년 남녀학생의 활동에너지 소비량 및 에너지필요추정량 분석
김미정(Mi Jeong Kim),나현주(Hyeon Ju Na),김영남(Young Nam Kim) 대한지역사회영양학회 2011 대한지역사회영양학회지 Vol.16 No.2
This study was conducted to investigate the time spent, activity coefficient and energy expenditure on 7 different types of activity. Total of 386 5th and 6th grade primary school boys and girls in Seoul participated in this study. The participants spent 8 hrs for rest, 4 hrs for out of school study, 3 hrs for leisure, 1 hr 45 mins. for hygiene, 1 hr for commute, and 15 mins. for house choir activity in the day of 6 class hours. The average activity coefficient of 1 day for boys and girls were 1.69 and 1.64, respectively. The TEEs were 2,382 kcal and 2,050 kcal for boys and girls, respectively. The energy cost for study related activity (in school and study activities) was 40% of the TEE, and for rest 20%, for commute 9%, and for hygiene 10% of the TEE. The energy cost for house choir was only about 2% of TEE. The 91.2% participant`s EER was higher than the EER shown in the table of 2010 DRI for Koreans. When the participant`s EER was compared with the energy allowance calculated by the method in 2000 RDA for Korean, 81.6% was in the range of ±5%, and the correlation coefficients between the 2 values were 0.981 for boys and 0.978 for girls, which means high agreements. (Korean J Community Nutr 16(2): 195~205, 2011)
유통 건고추 및 고춧가루의 아플라톡신 B<sub>1</sub>과 오크라톡신 A 오염도 조사
제갈승,김지형,주광식,정세진,나현주,조남규,이제만,김용희,Jegal, Seung,Kim, Ji-Hyeung,Joo, Gwang-Sig,Jung, Se-Jin,Na, Hyeon-Ju,Jo, Nam-Gyu,Lee, Jea-Man,Kim, Yong-Hee 한국식품위생안전성학회 2013 한국식품위생안전성학회지 Vol.28 No.3
2012년 2월부터 11월까지 인천 지역에서 유통된 건고추 및 고춧가루 193건을 대상으로 아플라톡신 $B_1$과 오크라톡신 A의 오염도를 조사하였다. Immunoaffinity column 및 HPLC를 이용한 시험법은 모두 80% 이상의 회수율을 보였고, 아플라톡신 $B_1$ 및 오크라톡신 A의 검출한계는 각각 0.13 ${\mu}g/kg$, $0.30{\mu}g/kg$였다. 오염도 조사를 한 결과 아플라톡신 $B_1$은 17.1%의 검출율을 보였고 오크라톡신 A는 20.7%의 검출율을 보였으며, 아플라톡신 $B_1$의 검출농도는 0.14~9.67 ${\mu}g/kg$였고, 오크라톡신 A의 검출 농도는 0.31~3.31 ${\mu}g/kg$였다. 이는 우리나라 식품공전 상의 기준인 10 ${\mu}g/kg$(아플라톡신 $B_1$), 7 ${\mu}g/kg$(오크라톡신 A)보다는 낮은 수치로 비교적 안전한 수준이었다. A survey of aflatoxin $B_1$ and ochratoxin A was conducted on dried red pepper and red pepper powder. Total number of 193 samples were collected from local markets in Incheon. The presence of aflatoxin $B_1$ and ochratoxin A was determined by high performance liquid chromatography (HPLC) with fluorescence detector using immunoaffinity column clean-up. The recovery rate of aflatoxin $B_1$ and ochratoxin A were more than 80% and the limits of quantification were 0.13 ${\mu}g/kg$ for aflatoxin $B_1$ and 0.30 ${\mu}g/kg$ for ochratoxin A. Aflatoxin $B_1$ was detected in 33 samples (17.1%) with a range of 0.14~9.67 ${\mu}g/kg$ and ochratoxin A was detected in 40 samples (20.7%) with a range of 0.31~3.31 ${\mu}g/kg$. These results show that the occurrence of aflatoxin $B_1$ and ochratoxin A in dried red pepper and red pepper powder tested in this study is low compared with the standard in Korea Food Code (10 ${\mu}g/kg$ as aflatoxin $B_1$ and 7 ${\mu}g/kg$ as ochratoxin A).
이정관 ( Jeong-gwan Lee ),이두희 ( Du-hee Lee ),양안희 ( An-hee Yang ),나현주 ( Hyeon-ju Na ),김지석 ( Jiseok Kim ),김현준 ( Hyun-jun Kim ) 산림경영정보학회 2024 산림경영정보 Vol.14 No.1
본 연구는 적은 시간과 노동력으로 산림의 정밀한 3차원적 정보를 획득할 수 있는 휴대용 LiDAR(Hand-held Laser Scanning:HLS)를 산림조사에 적용이 가능한지를 파악하기 위해 수행되었다. HLS의 측정시간에 따른 흉고직경과 수고 추정값의 변화를 분석하였고, 측정 방법에 따른 흉고직경과 수고의 정확도를 분석하였다. 그 결과, 흉고직경은 측정시간에 따른 차이가 없었지만(P > 0.05), 수고는 10분, 15분의 측정시간 대비 5분의 측정시간에서 유의한 차이가 발생했다(P < 0.05). 따라서, 최소 10분 이상의 측정시간을 가져야 정밀한 추정값을 얻을 수 있다. 또한, HLS는 현장조사 대비 흉고직경(R<sup>2</sup>=0.9947∼0.9987, Bias=-2.99∼-3.33 cm)은 높은 정확도로 추정하였지만, 수고(R<sup>2</sup>=0.6258∼0.892, Bias=-3.59∼1.93 m)를 더 낮게 추정하였다. 측정 방법에 따른 임분 단위 추정값은 흉고직경과 수고 모두 유의한 차이가 없었다(P > 0.05). 따라서 HLS를 산림조사에 적용한다면 기존 현장 조사보다 효율적이고 효과적으로 대체할 수 있다는 것을 보여준다. 또한, 본 연구는 산림에서 HLS의 적용 가능성에 대한 기초자료로 활용될 수 있으며, 임분밀도, 경사, 수종 등 다양한 환경 및 변수에 따른 HLS 추정값의 변화에 관한 연구가 추가로 수행되어야 할 것이다. This study was conducted to propose the possibility of applying Handheld Laser Scanning(HLS) for forest surveys, allowing for precise 3D information of forests to be acquired with less time and labor. We analyzed the changes in estimated value of DBH and height according to the measurement time of HLS, and analyzed the accuracy of DBH and height according to the measurement method. As a result, there was no difference in DBH depending on the measurement time(P > 0.05). but there was a significant difference in height estimates between 5 minutes and 10 or 15 minutes of measurement time(P < 0.05). thus, a minimum measurement time of 10 minutes is necessary to obtain accurate estimates. Furthermore, HLS estimated DBH(R<sup>2</sup>= 0.9947∼0.9987, Bias= -2.99∼-3.33 cm) with high accuracy compared to field surveys, but underestimated height(R<sup>2</sup>= 0.6258∼0.892, Bias= -3.59∼1.93 m). Ther was no significant difference in the estimated stand values according to the measurement method for DBH and height(P > 0.05). Therefore, the application of HLS in forest surveys demonstrates its potential to efficiently and effectively replace conventional field surveys. Furthermore, this study can be used as basic data on the applicability of HLS in forests, and additional research should be performed on changes in HLS estimates based on various environments and variables such as stand density, slope and tree species.