Technetium-99 (99Tc) is a challenging radionuclide from presents many problems related to safe disposal. The measurement of 99Tc is of particular interest due to its high mobility, and the fact that it is a beta-emitter with a long half-life (t1/2=2.13×105 years) with long-term radiological effects[1]. As an isotopes of 99Tc, 99mTc has been widely applied for medical diagnosis and medical research. It is reported that the 99mTc has been used in 80% of diagnostic nuclear medicine procedures and almost 30 million examinations are conducted worldwide using this isotope. Because 99mTc has a short half-life of 6 h and decays to 99Tc, monitoring and safe disposal of 99Tc from human urine is very important, and concern is increasing every day as global use of 99mTc has increased by more than 4.5×1014 Bq per week and is increasing continuously[2]. However, the current methods for the detection of this radionuclide in such mdium are time consuming and can not satisfy for the low level urine sample analysis. In this work, a method for rapid determination of 99Tc in urine samples was developed. The sample was firstly pre-treated with K2S2O8 to decompose the organic matters combined with 99Tc in 0.5 mol·L−1 HNO3 medium at 100°C. Then the sample solution was loaded to a TEVA column (2 mL) for 99Tc separation and purification. The target element was finally measured by high resolution inductively coupled plasma mass spectrometry (HR-ICPMS). The developed analytical method was proved to be reliable and can be used to rapid determine low-level 99Tc in urine samples.

본 연구의 목적은 screen printed 탄소계 전극에 기반하여 기능성 식품중에 포함된 소량의 Sildenafil과 Vardenafil (SDF 및 VDF)을 쉽게 검출하기 위한 전류계 면역센서를 개발하고자 하였다. 본 연구에서 개발한 면역센서는 horseradish peroxidase로 labeling 시킨 후 비경쟁적 샌드위치 ELISA 측정법에 의한 원리를 이용하였다. 개발된 센서는 그래핀 산화물 및 키토산(ErGO-CS) 복합체를 단순한 전기화학적 증착에 의해 screen printed 탄소계 전극을 이용 하는 원리이며, 감지된 화학물질을 평가하고 센서특성을 최적화하기 위해 전기 화학적 임피던스분광법, 순환 전압 전류법 등을 포함한 일련의 전기화학적 실험방법에 기초 하여 완성되었다. 본 연구에서 개발된 센서는 100 pg/mL ~ 300 ng/mL 농도의 SDF 및 VDF에 대하여 직선상의 농도 -의존적인 반응을 나타내었다. 또한 최저 검출 한계는 55 pg/ mL이었으며, 센서의 민감도는 1.02 μAng/mL/cm2로 산출 되었다. 센서의 성능은 7.1%의 상대 표준편차로 매우 우수한 재현성을 나타내었다. 본 연구에서 개발된 센서의 전 략적 가치는 향후 건강기능식품중에 함유된 SDF 및 VDF 과 같은 의약품의 미량을 현장에서 쉽게 분석 할 수 있어 서 비용-효과적 측면에서 그 가치가 우수하다는 것을 제시 한다.

Glycerol is a polyol that is responsible for the cold hardiness of insects. Glycerol kinase gene, which is an important key enzyme for glycerol biosynthesis, was predicted from whole genome sequencing data from the diamondback moth, Plutella xylostella. Four of P. xylostella glycerol kinase genes (PxGKs) were determined as a functional glycerol kinase through in silico study. Pre-exposure of P. xylostella larvae to 4°C for 7 h significantly enhanced survival (rapid cold hardiness: RCH) under a freezing temperature (-10°C) and increased glycerol titers. To determination of functional GK gene, expressions of all GK genes were measured by RT-PCR analysis. All GK genes were expressed in all larval stage and tissues (gut, hemocyte, and fat body). Expressions of all GK genes were suppressed by its specific dsRNA treatment into 4 th instar larva. Each 150 ng of dsRNA PxGK2 treatment significantly decreased glycerol amount in hemolymph by HPLC analysis. Larval treated by dsRNA PxGK2 also significantly lost the RCH under -10°C exposure. These results indicate that glycerol is a crucial RCH agent and its synthesis is regulated by a specific PxGK2 gene among GK gene isoforms in P. xylostella. In addition, the beet armyworm, Spodpotera exigua, encodes RCHassociated SeGK1, which has been functionally identified by RNA interference.

A rapid and simple method for the quantitative determination of volatile fatty acids (VFAs; propionic acid, n-butyric acid, i-valeric acid and n-valeric acid) and indoles (phenol, p-cresol, 4-ethyl phenol, indole and skatole) in pig slurry and dog excrement using solid-phase micro-extraction (SPME) coupled to gas chromatography was evaluated. 50/30 ㎛ DVB/CAR/PDMS (Divinylbenzene/Carboxen/Polydimethylsiloxane) fiber was used to extract the target compounds in aqueous media. Sample amount and adsorption time was standardized for the routine analysis. Detection limits were from 0.11 to 0.15 ㎍/L for VFAs and from 0.12 to 0.28 ㎍/L for indoles and the correlations observed (R2) were 0.975～1.000. This method was applied to the pig slurry, fertilizer, compost and dog excrement. In nearly all cases, the indoles were detected in concentrations of higher than their limits of detection (DOLs). But the VFAs in swine manure were below their DOLs.

Kjeldahl method used in many materials from various plant parts to determine protein contents, is laborious and time-consuming and utilizes hazardous chemicals. Near-infrared (NIR) reflectance spectroscopy, a rapid and environmentally benign technique, was investigated as a potential method for the prediction of protein content. Near-infrared reflectance spectra(1100-2400 nm) of coarse cereal grains(n=100 for each germplasm) were obtained using a dispersive spectrometer as both of grain itself and flour ground, and total protein contents determined according to Kjeldahl method. Using multivariate analysis, a modified partial least-squares model was developed for prediction of protein contents. The model had a multiple coefficient of determination of 0.99, 0.99, 0.99, 0.96 and 0.99 for foxtail millet, sorghum, millet, adzuki bean and mung bean germplasm, respectively. The model was tested with independent validation samples (n=10 for each germplasm). All samples were predicted with the coefficient of determination of 0.99, 0.99, 0.99, 0.91 and 0.99 for foxtail millet, sorghum, millet, adzuki bean and mung bean germplasm, respectively. The results indicate that NIR reflectance spectroscopy is an accurate and efficient tool for determining protein content of diverse coarse cereal germplasm for nutrition labeling of nutritional value. On the other hands appropriate condition of cereal material to predict protein using NIR was flour condition of grains.

The objective of this study was to rapidly evaluate fatty acids in a collection of foxtail millet (Setaria italica (L.) P. Beauv) of different origins so that this information could be disseminated to breeders to advance germplasm use and breeding. To develop the calibration equations for rapid and nondestructive evaluation of fatty acid content, near-infrared reflectance spectroscopy (NIRs) spectra (1104-2494 nm) of samples ground into flour (n=100) were obtained using a dispersive spectrometer. A modified partial least-squares model was developed to predict each component. For foxtail millet germplasm, our models returned coefficients of determination (R2) of 0.91, 0.89, 0.98 and 0.98 for strearic acid, oleic acid, linoleic acid, and total fatty acids, respectively. The prediction of the external validation set (n=10) showed significant correlation between references values and NIRs values (r2=0.97, 0.91, 0.99 for oleic, linoleic, and total fatty acids, respectively). Standard deviation/standard error of cross-validation (SD/SECV) values were greater than 3 (3.11, 5.45, and 7.50 for oleic, linoleic, and total fatty acids, respectively). These results indicate that these NIRs equations are functional for the mass screening and rapid quantification of the oleic, linolenic, and total fatty acids characterizing foxtail millet germplasm. Among the samples, IT153491 showed an especially high content of fatty acids (84.06 mg g-1), whereas IT188096 had a very low content (29.92 mg g-1).