Isolation and Identification of a Mold Strain Producing Esterifying Synthetase and Study on its Metabolies

2011 ◽  
Vol 236-238 ◽  
pp. 2460-2463
Author(s):  
Dan Huang ◽  
Yu Long Chu ◽  
Zhi Chao Shang ◽  
Yu Long Li ◽  
Zhong Ming Lu
Keyword(s):  
Carbon Source ◽  
Isoamyl Alcohol ◽  
Carbon Chain ◽  
Butyl Alcohol ◽  
Culture Conditions ◽  
Identification System ◽  
Culture Temperature ◽  
Automated Identification ◽  
Isolation And Identification ◽  
Fermentation Time

The metabolies characterization of mold producing esterifying synthetase of different culture conditions were studied. A mold strain producing esterifying enzyme was isolated from Luzhou-flavor DaQu and it was identified by Biolog Microbes automated identification System. Culture conditions such as culture temperature, fermentation time and carbon source were changed. The fermentatiom broth was extracted by ethanol and analyzed by GC-MS. The results showed that the strain was Aspergillus flavus. When the culture temperature increased, the molecular weight of its metabolites increased, the synthesis of high alcohol increased too, and their carbon chain lengthened gradually. When incubation time was prolonged, the varying law of the synthesis of its metabolites was alcohols-acid-ester, the metabolites with longer carbon chain produced earlier than the metabolites with shorter carbon chain. When the carbon source were starch, sucrose and bran, n-butyl alcohol and isoamyl alcohol were the common metabolites. When the carbon source was sucrose, most of the metabolites were alcohol and acid with shorter carbon chain. When the carbon source was starch, diethyl succinate was produced. When the carbon source was bran, the metabolites were less.

Study on the Metabolites of a Bacteria Strain Producing Esterifying Synthetase

2012 ◽  
Vol 550-553 ◽  
pp. 1080-1084
Author(s):  
Hui Bo Luo ◽  
Chun Hui Wei ◽  
Xian Ling Yuan
Keyword(s):  
Acetic Acid ◽  
Identification System ◽  
Higher Alcohols ◽  
Automated Identification ◽  
Fermentation Time ◽  
Fermentation Conditions ◽  
Geobacillus Thermoglucosidasius ◽  
Fermentation Temperature ◽  
Initial Ph

The metabolites characteristics of a bacteria producing esterifying synthetase in different fermentation conditions were studied. A bacteria strain producing esterifying enzyme was isolated from Luzhou-flavor Daqu and it was identified by Biolog Microbes automated identification System. Fermentation conditions such as fermentation time, fermentation initial pH and fermentation temperature were changed. The fermentatiom broth was extracted by ethanol and analyzed by GC-MS. The results showed that the strain was Geobacillus thermoglucosidasius. With the prolonging of fermentation time, methanol and various higher alcohols were gradually decreased and even disappeared, but the esters were gradually increased. With the rise of fermentation initial pH, the acids were decreased. When initial pH was 7.5, more esters were produced, but some metabolites were not changed with the initial pH of fermentation, such as acetic acid, acetaldehyde, 3-methyl butanol and 3-Hydroxy-2-butanone etc. With the increase of fermentation temperature, the alcohols and acids kinds increased. When the fermentation temperature was 35°C, the more esters were produced.

scholarly journals Aeration and Stirring in Yarrowia lipolytica Lipase Biosynthesis during Batch Cultures with Waste Fish Oil as a Carbon Source

Fermentation ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Paulina Snopek ◽  
Dorota Nowak ◽  
Bartłomiej Zieniuk ◽  
Agata Fabiszewska
Keyword(s):  
Carbon Source ◽  
Fish Oil ◽  
Yarrowia Lipolytica ◽  
Lipolytic Activity ◽  
Culture Conditions ◽  
Agitation Speed ◽  
Oxygen Deficit ◽  
Shear Stresses ◽  
Process Selection ◽  
Batch Cultures

Yarrowia lipolytica is one of the most studied non-conventional forms of yeast, exhibiting a high secretory capacity and producing many industrially important and valuable metabolites. The yeast conceals a great biotechnological potential to synthesize organic acids, sweeteners, microbial oil, or fragrances. The vast majority of bioprocesses are carried out in bioreactors, where suitable culture conditions are provided. In the current study, the effect of agitation speed (200–600 rpm) and air flow rate (0.0375–2.0 dm3/(dm3 × min)) on the biomass yield and lipase activity of Y. lipolytica KKP 379 is analyzed in a growth medium containing waste fish oil. The increase of aeration intensity limited the period of oxygen deficit in the medium. Simultaneously, an increase in lipolytic activity was observed from 2.09 U/cm3 to 14.21 U/cm3; however, an excessive agitation speed likely caused oxidative or shear stresses, and a reduction in lipolytic activity was observed. Moreover, it is confirmed that the synthesis of lipases is related to oxygen consumption, pH, and the yeast growth phase, and appropriate process selection may provide two advantages, namely, the maximum use of the waste carbon source and the production of lipolytic enzymes that are valuable in many industries.

scholarly journals Marine Network Protocols and Security Risks

2021 ◽  
Vol 1 (2) ◽  
pp. 239-251
Author(s):  
Ky Tran ◽  
Sid Keene ◽  
Erik Fretheim ◽  
Michail Tsikerdekis
Keyword(s):  
Network Protocols ◽  
Network Protocol ◽  
Identification System ◽  
Automated Identification ◽  
Security Risks ◽  
Domain Specific ◽  
Protocol Security ◽  
Challenges And Opportunities

Marine network protocols are domain-specific network protocols that aim to incorporate particular features within the specialized marine context that devices are implemented in. Devices implemented in such vessels involve critical equipment; however, limited research exists for marine network protocol security. In this paper, we provide an analysis of several marine network protocols used in today’s vessels and provide a classification of attack risks. Several protocols involve known security limitations, such as Automated Identification System (AIS) and National Marine Electronic Association (NMEA) 0183, while newer protocols, such as OneNet provide more security hardiness. We further identify several challenges and opportunities for future implementations of such protocols.

scholarly journals Listerial meningitis: Atypical strain and misidentification by the automated identification system (Vitek2)

2019 ◽  
Vol 75 (1) ◽  
pp. 99-101
Author(s):  
Gurpreet Singh Bhalla ◽  
Mahadevan Kumar ◽  
Pooja Mahajan ◽  
Kavita Sahai
Keyword(s):  
Identification System ◽  
Automated Identification

scholarly journals Effect of culture conditions on nitrogen-fixing activity of bacteria isolated from cassava cultivated soils of Vietnam

2021 ◽  
Vol 43 (3) ◽  
pp. 27-35
Author(s):  
Pham Viet Cuong ◽  
Nguyen Phuong Hoa
Keyword(s):  
Bacillus Subtilis ◽  
Carbon Source ◽  
16S Rrna ◽  
Culture Conditions ◽  
Rrna Gene ◽  
Atmospheric Nitrogen ◽  
Bacillus Sp ◽  
Nitrogen Fixing ◽  
The 16S Rrna Gene ◽  
Cultivated Soils

The bacteria capable of fixing atmospheric nitrogen were isolated from cassava cultivated soils of Vietnam. The potential isolates were identified by analyzing the 16S rRNA gene and by morphological, biochemical, cultural characteristics. The selected isolates were assigned to the species Bacillus sp. DQT2 M17, Bacillus subtilis DTAN6 M17, and Bacillus megaterium DSHB I8. The effect of culture conditions on the nitrogen-fixing activity of three selected isolates were studied and the obtained results showed that the highest amount of accumulated ammonia was detected after 6 days of incubation at 35 oC, pH 7.0 with sucrose as a carbon source. The selected strains could be exploited as inoculants for microbial fertilizer production.

scholarly journals KHẢO SÁT CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN QUÁ TRÌNH SẢN XUẤT LOVASTATIN TỪ NẤM Asperillus terreus EV8 BẰNG PHƯƠNG PHÁP LÊN MEN BÁN RẮN

2021 ◽  
Vol 5 (1) ◽  
pp. 2207-2216
Author(s):  
Nguyễn Phạm Tuấn ◽  
Bằng Hồng Lam ◽  
Nguyễn Phạm Tú
Keyword(s):  
Carbon Source ◽  
Abiotic Factors ◽  
Bone Diseases ◽  
Synthesis Process ◽  
Medium Ph ◽  
Fermentation Time ◽  
Medium Carbon ◽  
Statin Group ◽  
Fermentation Method ◽  
Potential Sources

Lovastatin một loại thuốc thuộc nhóm statin và được sử dụng để hạ cholesterol. Lovastatin cũng được sử dụng điều trị bệnh tim mạch vành, bệnh Alzheimer và các bệnh về xương,…. Nấm Asperillus terreus được xem là một trong những nguồn tổng hợp lovastatin, trong quá trình tổng hợp lovastatin chịu ảnh hưởng của nhiều yếu tố sinh học và phi sinh học. Nghiên cứu được thực hiện nhằm đánh giá ảnh hưởng của các yếu tố đến quá trình sản xuất lovastatin từ nấm bằng phương pháp lên men bán rắn. Các yếu tố ảnh hưởng đến quá trình lên men từ nấm Asperillus terreus EV8 như cơ chất, pH, nguồn carbon, nguồn nitrogen và thời gian lên men được đánh giá. Hàm lượng lovastatin được xác định bằng phương pháp đo quang ở bước sóng λ=238 nm. Kết quả nghiên cứu cho thấy, nấm Asperillus terreus EV8 sản xuất lovastatin tốt nhất dưới điều kiện như cơ chất (gạo trắng), pH môi trường (pH = 6), nguồn carbon (glucose 5 g/L), nguồn nitrogen (pepton 5 g/L) và thời gian lên men (8 ngày), hàm lượng lovastatin đạt 4,66 mg/g. ABSTRACT Lovastatin is a drug belonging to statin group and is used to reduce cholesterol. Lovastatin is also applied to treat coronary heart disease, Alzheimer's disease, and bone diseases. Asperillus terreus is considered as one of the potential sources of lovastatin, but the lovastatin synthesis process affected by various biological and abiotic factors. The study was conducted to evaluate the effect of factors on the production of lovastatin from this type of fungi by solid state fermentation method. The effect of factors on the production of lovastatin from Asperillus terreus EV8 as substrates, pH of medium, carbon source, nitrogen and fermentation time were investigated. Lovastatin assay was determined by spectrophotometer at 328 nm. The results showed that Asperillus terreus EV8 strains produced lovastatin under conditions as substrates (rice), pH of medium (pH = 6), carbon source (glucose 5 g/L), nitrogen source (peptone 5 g/L) and fermentation time (8 days) and the amount of lovastatin reaches 4.66 mg/g.  

scholarly journals Design and Implementation of an Efficient Rose Leaf Disease Detection using K-Nearest Neighbours

2020 ◽  
Vol 9 (3) ◽  
pp. 21-27
Keyword(s):  
Plant Disease ◽  
Spot Size ◽  
Extraction Process ◽  
Disease Classification ◽  
Identification System ◽  
Automated Identification ◽  
Accurate Identification ◽  
Leaf Disease ◽  
Key Factor ◽  
Agriculture Products

Plants are prone to different diseases caused by multiple reasons like environmental conditions, light, bacteria, and fungus. These diseases always have some physical characteristics on the leaves, stems, and fruit, such as changes in natural appearance, spot, size, etc. Due to similar patterns, distinguishing and identifying category of plant disease is the most challenging task. Therefore, efficient and flawless mechanisms should be discovered earlier so that accurate identification and prevention can be performed to avoid several losses of the entire plant. Therefore, an automated identification system can be a key factor in preventing loss in the cultivation and maintaining high quality of agriculture products. This paper introduces modeling of rose plant leaf disease classification technique using feature extraction process and supervised learning mechanism. The outcome of the proposed study justifies the scope of the proposed system in terms of accuracy towards the classification of different kind of rose plant disease.

Optimization of Potato Starch Residue L-Lactic Fermentation Culture Conditions

2011 ◽  
Vol 183-185 ◽  
pp. 1273-1277
Author(s):  
Zhong Xu ◽  
Nan Liu ◽  
Dan Zhao ◽  
Duo Wang
Keyword(s):  
Lactic Acid ◽  
Potato Starch ◽  
Culture Conditions ◽  
Raw Material ◽  
Optimal Dosage ◽  
Fermentation Time ◽  
Starch Concentration ◽  
Lactic Fermentation ◽  
Fermentation Temperature ◽  
Addition Level

Potato starch residue was used as raw material , a single factor test was used to determine the lactobacillus casei L-lactic fermentation in the amounts of CaCO3 addition, fermentation temperature, residue saccharification of starch concentration, the optimal dosage range of fermentation time. With 4 factors and 3 levels of 4 orthogonal test of L-lactic acid by fermentation. The order was: the fermentation temperature> saccharification concentration> fermentation period >CaCO3 dosage. Optimization was as follow : residue saccharification of starch concentration was 80g/L, fermentation temperature was 37°C, CaCO3 addition level was 60g/L, fermentation time was of 60h. Fermentation conditions for this verification test, L-lactic acid content was 72.3g/L, compared with 15.1% before optimization.

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