기후변화, 외래병해충발생, 밀원수 감소 등 여러 요인으로 인해 우리 나라의 양봉농가는 벌꿀생산량 및 농가소득이 감소하는 추세이다. 또한 밀원이 없는 시기에 가축용 사료가 아닌 고가의 식용설탕을 꿀벌의 인공사료로 급여하고 있어 농가는 ‘생산비 상승’과 ‘밀원수 부족’을 국내양봉업이 직면한 가장 큰 문제점으로 지적하고 있다. 이에 따른 양봉농가의 생산비를 절감하고 꿀벌의 생리·생태의 개선효과를 가지는 저가형 당액사료개발을 위해 농산부산물에서 추출한 천연당을 봉군에 적용시험을 추진하였다. 양파(OS-1, OS-2), 양배추(CS-1, CS-2), 바나나(Banana)부산물에서 추출한 천연당의 봉군당 평균먹이소모량(mL)은 설탕당액(대조구) 처리구와 비교시 바나나추출당액 급여구에서 5500.00±0.00, 5133.33±404.15로 유사하였다. 그러나 꿀벌의 봉세발달은 대조구에 비해 21006.7±2137, 17403.3±2257마리로 조사되어 낮은 경향을 나타내었고 수명조사 결과는 큰 차이가 없었다. 농산부산물을 이용한 천연당은 우선 꿀벌의 기호도 향상을 우선으로 개선시켜야 할 것으로 보인다.

농촌진흥청 개발 품종인 토종벌 신품종(질병저항성 우수계통)에 대해 전남지역에서의 형질특성(봉세발달, 마리당 수밀력, 청소력 등)을 조사하였다. 질병저항성 계통(RS)으로 육성된 토종벌의 유밀기 마리당 수밀력은 들어오는 일벌의 무게가 80.89±8.95mg, 나가는 일벌의 무게가 63.56±8.90mg으로 조사되었고, 비저항성계통(NRS)은 각각 83.22±1.39, 66.67±1.20mg으로 조사되어 RS에서 그 무게차가 0.7mg 더 높았으나 통계적 유의차는 없었다. Pin killed test에 의한 사충제거능력(청소력)은 제거하지 못한 유충잔존율이 RS에서 12시간과 24시간 경과시 14.00±10.39와 7.00±3.46으로, NRS에서는 20.33±14.29, 13.33±10.41%로 조사되었으며, 특히 RS와 NRS의 사충 비제거율이 24시간 경과하였을 때 4.67±2.08, 8.33±7.77%로 RS가 우수한 특성을 보였다. 신규여왕벌 입식 후 봉군세력발달은 NRS에 비하여 RS의 일벌수, 번데기 및 유충수의 발달율이 안정적이고 다소 빠르게 증가하였다.

The aim of the present work was to develop simultaneous methods of quantification of carazolol, azaperone, and azaperol residues in livestock and fishery products using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Samples were extracted from beef, pork, chicken, egg, milk and shrimp using acetonitrile (ACN); while flat fish and eel were extracted using 80% ACN. For purification, ACN saturated n-hexane was used to remove fat composition. The standard calibration curves showed good linearity as correlation coefficients; r 2 was > 0.99. Average recoveries expressed were within the range of 67.9-105% for samples fortified at three different levels (0.5 × MRL, 1 × MRL and 2 × MRL). The correlation coefficient expressed as precision was within the range of 0.55- 7.93%. The limit of quantification (LOQ) was 0.0002-0.002 mg/kg. The proposed analytical method showed high accuracy and acceptable sensitivity based on Codex guideline requirements (CAC/GL71-2009). This method can be used to analyze the residue of carazolol, azaperone, and azaperol in livestock and fishery products.

We performed temperature dependent current-voltage (I-V) measurements to characterize the electrical properties of Au/Al2O3/n-Ge metal-insulator-semiconductor (MIS) diodes prepared with and without H2O prepulse treatment by atomic layer deposition (ALD). By considering the thickness of the Al2O3 interlayer, the barrier height for the treated sample was found to be 0.61 eV, similar to those of Au/n-Ge Schottky diodes. The thermionic emission (TE) model with barrier inhomogeneity explained the final state of the treated sample well. Compared to the untreated sample, the treated sample was found to have improved diode characteristics for both forward and reverse bias conditions. These results were associated with the reduction of charge trapping and interface states near the Ge/Al2O3 interface.

This study was conducted to develop a predictive model for the growth of Escherichia coli strain RC-4-D isolated from red kohlrabi sprout seeds. We collected E. coli kinetic growth data during red kohlrabi seed sprouting under isothermal conditions (10, 15, 20, 25, and 30°C). Baranyi model was used as a primary order model for growth data. The maximum growth rate (μmax) and lag-phase duration (LPD) for each temperature (except for 10°C LPD) were determined. Three kinds of secondary models (suboptimal Ratkowsky square-root, Huang model, and Arrhenius-type model) were compared to elucidate the influence of temperature on E. coli growth rate. The model performance measures for three secondary models showed that the suboptimal Huang square-root model was more suitable in the accuracy (1.223) and the suboptimal Ratkowsky square-root model was less in the bias (0.999), respectively. Among three secondary order model used in this study, the suboptimal Ratkowsky square-root model showed best fit for the secondary model for describing the effect of temperature. This model can be utilized to predict E. coli behavior in red kohlrabi sprout production and to conduct microbial risk assessments.