This study was conducted to investigate the effects of summer green manure crops as an alternative for imported expeller cake fertilizer on environment-friendly lettuce production. Sunnhemp, soybean, sudangrass, and sorghum, as summer green manure crops, were evaluated under the condition of a plastic film house. In the amount of nitrogen supplied through cultivation of green manure crops, soybean plot, which supplied 187 kg ha-1, was the highest, followed by sorghum plot, 156 kg ha-1. Since all green manure plots supplied more nitrogen than that required by soil testing, it was possible to replace the nitrogen supply of expeller cake fertilizer with the amount of nitrogen produced by green manures for autumn lettuce cultivation. N nutrient balances in sunnhemp, sudangrass, soybean, and sorghum plots were 13 kg ha-1, 28 kg ha-1, 30 kg ha-1, and 38 kg ha-1, respectively. The initial yield and total yield of lettuce showed no significant difference in green manure plots compared to the expeller cake plot, but . It was thought that all green manure crops could be substituted for expeller cake fertilizer used as nitrogen fertilizer, but it would be necessary to adjust the cultivation period and reduction point according to the type of green manure in order to maintain the C/N ratio, nitrogen supply, and nitrogen balance suitable for lettuce production.

동물 화분매개는 대부분 벌과 파리 등의 곤충에 의해서 이루어지는 매우 중요한 생태계 서비스 중 하나이다. 농업생산성의 유지와 영양분의 안정적 공급은 인류 복지의 근간이 된다. 이 연구는 한국 농업에서 화분매개가 식량 생산 증진에 미치는 기능을 평가하였다. 2015년 농업총조사, 농촌진흥청 농업 소득자료집, 기타 시장가격 자료 등의 농작물 재배와 생산액에 대한 자료에 화분매개 의존도를 반영하였다. 12개의 식량작물, 19개 과수, 18개 노지 채소와 13개 시설 채소 그리고 9개의 특용작물 등 71개 작물을 대상으로 한 분석에서, 전체 작물의 화분매개 의존도는 평균 29.2%이었으며, 식량작물이 가장 낮은 7.5%로 나타났다. 화분매개 의존량은 전체 농작물의 17.8%이었으며 그 경제적 가치는 6조 8.5천억원 (65.1-71.9천억원)으로 추정되었다. 화분매개 의존 생산량은 시설 과채류에서 49.2%로 가장 높았고 과수가 42%, 특용작물이 35.9%를 차지하 였다. 본 연구를 통해 곤충 화분매개는 한국 농업 생산에서 핵심적 과정이며 식량-영양안보적 관점에서 보호증진해야 하는 과정임이 분명해졌다. 농업에서 화분매개자를 보호하고 화분매개서비스를 강화할 수 있는 관리 전략으로 병해충-화분매개 통합관리(IPPM)개념과 추진 전략에 대하여 추가적으로 논의하였다.

The production of macroalgae-derived adsorbent is of great importance to realize the idea of treating pollutants with invaluable renewable materials. Herein, a novel meso-micro porous nano-activated carbon was prepared from green alga Ulava lactuca in a facile way via chemical activation with zinc chloride. The resultant activated carbon possesses a significant specific surface area 1486.3 m2/ g. The resulting activated carbon was characterized and investigated for the adsorption of Direct Red 23 (DR23) dye from an aqueous environment. Batch method was conducted to study the effects of different adsorption processes on the DR23 dye adsorption from water. Isotherms and kinetics models were investigated for the adsorption process of DR23 dye. It was found that the adsorption data were well fitted by Langmuir model showing a monolayer adsorption capacity 149.26 mg/g. Kinetic experiments revealed that the adsorptions of DR23 dye can be described with pseudo-secondorder model showing a good correlation (R2 > 0.997). The prepared activated carbon from Ulava lactuca was exposed to a total of six regeneration experiments. The regeneration result proved that the fabricated activated carbon only loses 19% of its adsorption capacity after six cycles. These results clearly demonstrated the high ability of the obtained active carbon to absorb anionic dyes from the aqueous environment.

본 연구에서는 국내산 돌미나리에서 GABA생성능이 있 는 신규 유산균을 분리, 동정한 결과, Enteroccoccus casseliflavus로 확인되었다. 최근까지 Lactobacillus속과 같 은 GABA 생성 유산균에 대한 보고는 많이 되고 있고, 일 부 Enterococcs속 유산균도 보고되고 있으나 E. casseliflavus 종에 대한 보고는 없었다. 따라서 본 연구에서는 E. casseliflavus PL05 균주에 대한 GABA 생성 최적 조건을 찾기 위하여 배지의 유형, 생육 온도, 초기 pH 조건, 배양 시간, MGS 농도 및 탄소원을 포함한 다양한 조건을 테스 트하였다. PL05 균주는 MRS 혹은 TSB 배지보다 BHI 배 지에서 생육이 잘 되었으며, 배지의 초기 pH는 7-9 조건 에서 가장 생육이 왕성하였고, GABA 생성 조건 역시 유 사한 결과로 확인되었다. GABA의 기질에 해당하는 MSG 의 농도별 GABA 생성량을 조사한 결과, 7%에서 가장 높 은 생성량을 나타내었으나 5%에서도 유사한 수준으로 확 인되어 효율적인 측면에서 5%가 적합할 것으로 판단된다. 탄소원에 따른 생육 및 GABA 생성량은 말토오스를 사용 하였을 때 가장 높은 것으로 확인되었고, 이러한 최적의 조건들로 최종 테스트를 진행한 결과, 24시간째 140.06±0.71 mM의 GABA가 생성되었고, 전환율은 78.95%로 확인되 었다. 또한 반코마이신을 포함한 10개의 항생제에 대한 감 수성을 조사한 결과 내성이 없는 것을 확인하였다.

본 연구는 조사료 원료인 마늘 껍질의 사료적 가치와 메탄 발생량을 조사하기 위해 in vitro 발효 실험을 수행하였다. Garlic husk를 제외하고 국내에서 널리 사용되는 4가지 조사료 원료(Oat hay, Annual ryegrass, Timothy, Tall fescue)를 실험의 처리구로 구성하였다. In vitro 48 시간 발효 후 건물 소화율, 섬유소 소화율, 암모니아태 질소, 휘발성 지방산, pH, 메탄 발생량을 평가하였다. 가스 발생량은 3, 6, 9, 12, 24, 36 및 48 시간에 각각 측정되었다. 최종 가스 발생량에서 Oat hay가 유의적으로 가장 높았다(p<0.01). Garlic husk는 처리구 중 가장 높은 메탄 발생량을 나타내었다(p<0.01). Garlic husk의 건물 소화율은 Oat hay보다 유의적으로 낮았지만 Annual ryegrass, Timothy, Tall fescue보다 높았다(p<0.01). 섬유소 소화율은 Annual ryegrass에서 가장 낮았다(p<0.01). 총 휘발성 지방산 생성량은 Oat hay에서 가장 높았고(p<0.01), Garlic husk, Timothy, Tall fescue는 유사하였다. 본 연구의 in vitro 발효 성상과 메탄 발생량을 고려할 때, Garlic husk는 국내 주요 조사료를 대체할 영양적 가치를 포함하고 있으나 메탄 저감 효과는 미미할 것으로 추정된다.

난자의 성숙과정과 노화에 관한 이해는 인공수정과 체외수정 최적기를 판단하기 위하여 가장 중요한 연구내용으로 알려져 있다. 이러한 기작은 번식 호르몬들에 의하여 조절되는 것으로 알려져 있으나 난자 세포질 변화에 관한 내용은 잘 알려져 있지 않다. 본 연구에서는 산화질소물(nitric oxide, NO)이 난자 성숙과정에서 증가하는 것을 밝혔으며 난자의 미성숙단계(germinal vesicle stage, GV)와 난자핵막붕괴단계(germinal vesicle breakdown, GVBD) 및 성숙완료단계(metaphase II, MII)단계에서 생산되는 NO의 양을 비교하였다. 또한, 난자를 체외에서 배양할 때, MII단계로 성숙되지 않는 성장 단계의 난자에서는 NO의 증가 현상을 관찰할 수 없었고, 세포질이 불균일한 노화된 난자에서는 NO가 증가된 상태로 유지되는 특성이 있음을 밝혔다. 이러한 결과는 NO의 작용이 난자의 성숙과정과 난자 노화과정에서 중요한 기능을 담당하고 있음을 보여주고 있다.

This study was carried out to investigate the proper wattage and installation distance for the efficient use of nano-carbon fiber infrared heating lamp (NCFIHL), a heating device advantageous for heating energy saving, when the production of watermelon plug seedlings in the plug seedling nursery in winter season. Six small beds were divided into plastic film, and 700 W and 900 W nano-carbon fiber infrared heating lamps were installed at 100 cm above the bed. 1 lamp at central (control), 60 cm interval (2 lamps), and 40 cm interval (3 lamps) heating lamps were installed in each bed inside the greenhouse. All treatments, except the control, were set to keep the night air temperature at 20℃ after lighting the NCFIHL. The leaf temperature showed a tendency to increase fast as the install distance was narrow. The leaf length and leaf width tended to increase as the installation distance of the 700 W heating lamp was narrow. The compactness was high in 700 W heating lamp with 40 cm of installation distance. Therefore, in consideration of maintaining the set temperature at night, installing 700 W electric lamps at 40 cm was an efficient power and installation distance for watermelon grafted seedlings considering economic feasibility.

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry’s yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO2 and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of ‘Seolhyang’ (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

Odor is a type of sensory pollution that can stimulate the human sense of smell when it occurs, causing discomfort and making it difficult to create a pleasant environment. For this reason, there is a high possibility of complaints regarding odors if odors occur in pigsties near residential properties, and the number of such complaints is also increasing. In addition, odors emanating from pigsties around military installations can cause physical and psychological harm, not only to the soldiers living in these type of facilities but also to the families belonging to military personnel living there as well. Because the concentration of odors varies due to diverse factors such as temperature, humidity, wind direction, wind speed, and interaction between causative materials, predicting odors based on only one factor is not proper or appropriate. Therefore, in this work, we sought to construct models that are based on several regression techniques of machine learning using data collected in field. And we selected and utilized the model that has the highest-accuracy in order to notify and warn residents of odors in advance. In this work, 3672 data items were used to train and test the model. The several machine learning algorithms to build the models are polynomial regression, ridge regression, K-nearest neighbor regression (KNN Regression), and random forest. Comparing the performance of models based on each algorithm, the study found that KNN Regression was the most suitable model, and the result obtained from KNN regression was significant.

The nutrient balances originated from livestock manure in Korea has not being include minor livestock species (e.g., horse, deer, and goat) since their manure excretion unit (MEU), nutrient excretion unit (NEU), and nutrient loading coefficient (NLC) are not known yet. In the present research work, the primary focus had laid therefore on securing domestic MEU for the specified minor livestock species which provides the basis for the computation of NEU and NLC. Moreover, the nutrient potential and economic value of composted manure from minor livestock was assessed on the basis of contents in the inorganic fertilizers such as Urea, (46% N) and Fused superphosphate (20% phosphorus pentoxide). The obtained MEU was found to be 10.52±5.48, 4.07±1.69, and 0.843±0.1 kg/head/day for horse, deer, and goat, respectively. In addition, the measured NLCs of horse, deer, and goat were [N, 0.7; P, 0.9], [N, 0.7; P, 0.6] (Both deer and goat were the same.), respectively. Consequently, the horse, deer, and goat manure have a potential of 3,840.1 ton N/year and 9,390.2 ton P/year as an inorganic fertilizer of urea and fused superphosphate. These findings may facilitate the development of more accurate nutrient budget taking into account both major and minor livestock and improve the manure management measures for land application.

This study aimed to analyze causality of climatic factors that affecting the yield of whole crop barley (WCB) by constructing a network within the natural ecosystem via the structural equation model. The WCB dataset (n=316) consisted of data on the forage information and climatic information. The forage information was collected from numerous experimental reports from New Cultivars of Winter Crops (1993-2012) and included details of fresh and dry matter yield, and the year and location of cultivation. The climatic information included details of the daily mean temperature, precipitation, and sunshine duration from the weather information system of the Korea Meteorological Administration. The variables were growing days, accumulated temperature, precipitation, and sunshine duration in the season for the period of seeding to harvesting. The data was collected over 3 consecutive seasons—autumn, winter, and the following spring. We created a causality network depicting the effect of climatic factors on production by structural equation modeling. The results highlight: (i) the differences in the longitudinal effects between autumn and next spring, (ii) the factors that directly affect WCB production, and (iii) the indirect effects by certain factors, via two or more paths. For instance, the indirect effect of precipitation on WCB production in the following spring season via its effect on temperature was remarkable. Based on absolute values, the importance of WCB production in decreasing order was: the following spring temperature (0.45), autumn temperature (0.35), wintering (-0.16), and following spring precipitation (0.04). Therefore, we conclude that other climatic factors indirectly affect production through the final pathway, temperature and growing days in the next spring, in the climate-production network for WCB including temperature, growing days, precipitation and sunshine duration.

본 연구에서는 겉보리를 고체 기질로 사용하여 액체발효(LSF)와 고 체발효(SSF)를 수행하였으며, 또한 겉보리의 발아(germination) 에 따른 SSF 및 A. oryzae NIBRFGC000501965와 A. pullulans KCCM60122의 혼합발효를 통해 효소 및 β-glucan 생산에 대한 고체발효 연구를 수행하였다. 이러한 연구결과들은 기존의 고체발 효법에서 효소 및 β-glucan 생산에 있어 효율적인 발효공정의 기 초자료로 유용한 정보를 제공할 것으로 판단된다.

This study analyzed product conditions in terms of “size system,” “clothing construction depending on fit,” “details,” “colors,” and “prices,” with an emphasis on young contemporary brands for spring/summer 2021, in order to provide basic data for the development of small-sized women’s jackets. Out of 96 domestic and foreign brands, the study analyzed 254 small-sized jacket products from 23 brands that produce size-XS jackets. First, when examining the sizes for women’s jackets, we found that 8 out of the 23 brands offer a size-XXS option. After conducting tree analysis to analyze the factors affecting the production of size-XXS, the study found significant results in the areas of “distinction between domestic and foreign brands” and “product price.” Second, after categorizing small-sized women’s jackets into 3 categories— fit-slim, basic, and straight—the study analyzed clothing construction elements depending on fit. This seasons mainly feature straight-fit’s hip-line length jacket, a 4-panel pattern, and a panel without a waist dart. Third, the study, through the analysis of the colors of small-sized women’s jackets, found a higher frequency of colors in the order of black (23.0%), white (13.3%), and beige tones (10.1%), with additional colors such as sky blue, rose pink, and aquamarine in production, which exhibit the senses of the seasons. Price analysis revealed that small-sized jackets constituted a price range at the mid-to-low end, as in ₩50,000-100,000 (30.3%), ₩100,000- 150,000 (19.3%), and ₩150,000-200,000 (11.8%).

In this study, the sales status of female ball-jointed dolls and their parts were investigated and analyzed. Baseline data from 194 products and 54 brands on domestic and international Internet sites was gathered for the manufacture of ball-jointed dolls and the development of prototype costumes for them. The results are as follows. First, the sizes used for ball-jointed dolls are SD, USD, MSD, 13SD, and 70SD together with height. This study analyzed 39 sizes (15~70cm) by classifying them into numbered groups: 1 (15~22cm), 2 (23~33cm), 3 (35~51cm), 4 (53~62cm), and 5 (63~70cm). The price varied depending on the size; for example, 50cm dolls were approximately 45,000 won, while limited editions were sold at high prices, regardless of their size. They were classified into designs according to their body proportions and facial features as follows: 7- or 8-head-figure, 5-head figure, and 3-head figure, and were presented proportionally as images of women, adolescents, and infants. Second, the head was incised so that the top could be removed horizontally or the facial region vertically, allowing attachment of the eyeballs (which were either glass, resin, or acrylic) to the inside. More than 30 different colors were sold. Various wig styles were provided, including cut, short hair, and perm. These were made from human hair, heat-resistant fiber, and artificial hair. For the hands, there was a design expressing human hand gestures. For the feet, heels were in the form of wearing either high-heels or flat soles.

Graphite Isotope Ratio Method (GIRM) can be used to estimate plutonium production in a graphite-moderated reactor. This study presents verification results for the GIRM combined with a 3-D polynomial regression function to estimate cumulative plutonium production in a graphite-moderated reactor. Using the 3-D Monte-Carlo method, verification was done by comparing the cumulative plutonium production with the GIRM. The GIRM can estimate plutonium production for specific sampling points using a function that is based on an isotope ratio of impurity elements. In this study, the 10B/11B isotope ratio was chosen and calculated for sampling points. Then, 3-D polynomial regression was used to derive a function that represents a whole core cumulative plutonium production map. To verify the accuracy of the GIRM with polynomial regression, the reference value of plutonium production was calculated using a Monte-Carlo code, MCS, up to 4250 days of depletion. Moreover, the amount of plutonium produced in certain axial layers and fuel pins at 1250, 2250, and 3250 days of depletion was obtained and used for additional verification. As a result, the difference in the total cumulative plutonium production based on the MCS and GIRM results was found below 3.1% with regard to the root mean square (RMS) error.

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

전남지역의 완도, 진도, 해남을 대상으로 난대상록활엽수림 복원 시 붉가시나무 종실 공급과 묘목 양성에 대한 정보 필요성에 따라 붉가시나무의 종실 생산량 및 종실 형질 특성을 조사 분석하였다. 조사 분석을 위해 표면적 1㎡의 종자 트랩을 10개(완도 8개, 해남 1개, 진도 1개) 방형구에 방형구 당 3개씩 총 30개를 설치하였다. 2013년부터 2016년 까지 매년 8월에서 12월까지 매월 말 종자 트랩 내로 낙하한 종실을 수거하였으며, 낙하 종실을 수거해 건전, 충해, 부후, 쭉정이 등으로 구분 후 종실 생산량을 산정하였다. 건전 종실의 경우 각두를 제거한 종실의 길이, 지름, 무게 등 종실 형질을 측정하였다. 조사한 종실 생산량 및 종실 형질은 연별, 임분별, 월별, 처리구별 등을 연평균 값 비교분석 을 위해 Duncan의 다중검정 등을 실시하였다. 각 방형구 내 종자 트랩 낙하 종실량은 2013년에 5~350립/3㎡, 2014년에 17~551립/3㎡, 2015년에 5~454립/3㎡, 2016년에 14~705립/3㎡로 방형구 간에 차이가 큰 것으로 나타났으며, 이는 방형구내 임목 밀도 등으로 인한 수광량의 유입차로 추정진다. 전체 연도별 종실 생산량을 ha당 산정한 결과 각각 2013년에 335,000립, 2014년에 932,000립, 2015년에 556,000립, 2016년에 1,037,000립이었으며, 2년을 주기로 다소 차이가 나타났다. 종실 생산량 증감은 임분 간 동시성을 보여 붉가시나무는 임목 개체 간 결실 풍흉 및 결실 시기의 주기성이 뚜렷한 것으로 판단된다. 9월에 가장 많은 종실이 낙하하였으나 충해종실의 피해 또한 많은 것으로 나타나 종실의 조기 낙하를 방제한다면 결실 기간을 높여 충실 종실의 대량생산이 가능할 것으로 판단된다. 지역별 연평균 종실 길이의 경우 유의성이 없었으며, 종실 지름과 종실 무게의 경우 해남 종실이 완도, 진도 종실에 비해 유의적으로 평균값이 높게 나타났다. 월별 연평균 종실 형질은 유의적 차이는 보이지 않았으며, 11월의 연평균 종실 길이, 지름, 무게가 각각 19.72㎜, 12.23㎜, 1.64g으로 8월~11월 중 최대치를 보였다.

Agrobacterium tumefaciens strain CP4 유래 5-enolpyruvylshikimate- 3-phosphate synthase (EPSPS) 유전자를 포함하는 유전자변형생물체 (Living modified organism, LMO)가 개발되었다. 이 같은 LMO는 국내 승인되어 사료용, 식품용, 가공용으로 이용 중이다. 간이면역 검사키트 개발을 위해서는 고효율의 단클론 항체 개발이 필수적이다. 본 연구에서는 대장균 BL21 (DE3)에서 재조합 CP4 EPSPS 단백질을 정제하였으며 SDS-PAGE와 MALDI-TOF MS 분석으로 단백질 특성을 분석하였다. 단클론 항체 제작은 ㈜앱 클론의 SOP 매뉴얼에 따라 진행하였다. 본 연구 결과 5개의 단클론 항체 클론 (2F2, 4B9, 6C11, 10A9, 10G9)를 확보하였다. 5종의 단클론 항체의 효율과 특이도 검정을 위해서 LM 면화 추출액을 이용한 western blotting 분석을 실시하였다. 모든 단클론 항체는 CP4 EPSPS를 함유하는 MON1445와 MON88913을 특이적으로 검출하였으며 비변형 면화 및 타종의 LM 면화에서는 검출되지 않았다. 이러한 결과들을 바탕으로 CP4 EPSPS 단클론 항체는 LMO 에 함유된 CP4 EPSPS 단백질을 타겟으로 항체 기반 검출법 개발에 활용될 것으로 사료된다.

MMBR system has been suggested as a promising system to resolve harvesting problems induced from low settling efficiency of microalgae. And recently, a lot of research on reducing fouling at the MMBR system has investigated focused on EPS in many cases. EPS of microalgae mainly consists of polysaccharides and protein components, and is produced through photosynthesis and nitrogen-carbon metabolic pathways. Especially, P-EPS is one of major compounds which occur membrane fouling phenomenon, as its hydrophobic protein components cause floc formation and cake layer accumulation. And it is already known that almost every microalgae can metabolize P-EPS or Chl-a when nitrogen sources as a substrate is insufficient or exhausted situation. With the above backgrounds, uptake rates of P-EPS or Chl-a by Scenedesmus quadricauda according to the type of carbon source and nitrogen concentration were evaluated in order to verify correlation between carbon source vs P-EPS production, and indeed Scenedesmus quadricauda uses P-EPS or Chl-a when the amounts of nitrogen sourc es in the feed is not satisfied. As a result, it was shown that P-EPS and Chl-a production were increased proportional to nitrogen concentration under organic carbon condition. And especially, the amo unts of P-EPS and Chl-a in the cell were diminished with the nitrogen source becomes insufficient or exhausted. Because P-EPS accelerates fouling at the MMBR system, P-EPS degradation by Scenedesmus quadricauda in order to get nitrogen source may contribute to reducing fouling. About a affects of N-consumed Chl-a to the MMBR fouling, more survey is needed. On the contrary, considering the purpose of MMBR system of this study, i.e. harvesting useful high value microalgae efficiently feeding adequate industrial process wastewater, it seems like difficult to maintain satisfied metabolic activity and to harvest with high yield rate using nitrogen-poor MMBR feed.

리그닌 분해효소의 생산은 나선형 리본이 있는 새로운 형태의 회전식 통풍관 생물 반응기(RTB)를 사용하여 느타리(Pleurotus ostreatus) No.42에 의해 실시하였다. 락게 이즈(laccase)의 최대 생산량은 배양 3일 후 약 8,200 U/ bioreactor 수준에 도달한 후 감소하였다. 반면에, 망간퍼 옥시데이즈(MnP)의 최대 생산은 6일 배양 후 약 8,400 U/bioreactor의 수준에 도달하였다. 그러나 이 발효조에서 리그닌퍼옥시데이즈(LiP)는 검출되지 않았다. 그 결과 회전식 통풍관 생물 반응기(RTB)가 리그닌 분해효소를 대규모 생산을 위해 성공적으로 생산할 수 있음을 보여주었다. 이 발효기에서 망간퍼옥시데이즈의 정제 과정은 Sepharose CL-6B, Superdex 75 prep grade 및 Mono-Q에 대한 크로마토그래피를 포함하여 정제하였다. 이 주요 효소는 sodium dodecyl sulfate-polyacrylamide 겔 전기영동(SDS-PAGE)에서 분자량 36,400, pI 3.95의 등전점(IEF)으로 각각 확인되었다. 이 발효기의 주요 효소 N-말단 서열은 정치 및 진탕배양과 같은 다른 배양조건에서 보고된 MnP3 효소와 동일하였다.