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Determination of meaty peptide in enzymatic hydrolyzate of beef protein by HPLC-MS
Yanping Wang,Songrong Zeng,Xiaojia Bai,Weili Lin,Ming Yang,Haipeng Xing 한국화학공학회 2008 Korean Journal of Chemical Engineering Vol.25 No.5
The purpose of this study is to detect beefy meaty peptide (BMP) in beef hydrolyzate. The synthesized BMP is used as a standard sample in the study. High performance liquid chromatography (HPLC)/ion trap electrospray ionization mass spectrometry (ESI-MS) with UV detection was applied in qualitative analysis of the peptides. Six beef protein enzymatic hydrolyzate samples were separated on a Surveyor HPLC system through a SUPELCO Discovery® C18 analytical column (5 μm, 15 cm×2.1 mm i.d.). The column was eluted at a flow rate of 0.2 mL/min in a linear gradient elution mode of acetronitrile-water solution with 0.1% trifluoroacetic acid. The concentration of acetronitrile was increased from 5% to 50% in 40 minutes. A Finnigan LCQ Advantage MAX instrument was used as detector to analyze with ESI-MS and ESI-MS/MS in positive mode. Among the six samples of beef protein enzymatic hydrolysate, the BMP is detected and confirmed in sample No.4 with a higher intensity of characteristic peak and is further investigated by ESI-MS/MS. As a result, BMP exists in sample No.4. The study proves that HPLC-ESI-MS/MS is a simple, rapid, sensitive method to analyze target peptides from complex polypeptides
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Review on Metrics and Prediction Methods of Civil Aviation Noise
Hao Feng,Yadong Zhou,Weili Zeng,Cong Ding 한국항공우주학회 2023 International Journal of Aeronautical and Space Sc Vol.24 No.5
Civil aviation noise is one of the main factors hindering the growth of the civil aviation industry. With the increase in global air traffic demand, the problem of aviation noise pollution will become more and more serious. It is of great significance to carry out research in aviation noise. First, by summarizing the characteristics of aviation noise metrics, this paper divides them into three categories: single event noise metrics, cumulative exposure metrics, and daily metrics. Representative metrics of each category are selected for explanation and in-depth analysis. Second, according to the principles of aviation noise prediction models, this paper classifies these existing models into three categories: best practice models, scientific models, and machine learning models. Relevant academic research results are summarized. The best practice model regards the aircraft as noise point source, and its specialty is to predict noise under complex air traffic conditions. The scientific model considers the noise from the level of aircraft components and reflects the underlying physical effects. Based on data, the machine learning model uses algorithms to mine the hidden relationship between various factors and noise to achieve the purpose of noise prediction. Then, this paper introduces two kinds of aviation noise simulation software based on the best practice and scientific models, and lists their access addresses. Finally, challenges and prospects are presented from three aspects: metrics, prediction models and simulation software.
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Wei Li,Jigong Hao,Huarong Zeng,Jiwei Zhai 한국물리학회 2013 Current Applied Physics Vol.13 No.7
Lead free Ba0.92Ca0.08Ti0.95Zr0.05O3 (BCZT) thin films were deposited on Pt/Ti/SiO2/Si and LaNiO3(LNO)/Pt/Ti/SiO2/Si substrates by a solegel processing technique, respectively. The effects of substrate on structure,dielectric and piezoelectric properties were investigated in detail. The BCZT thin films deposited on LNO/Pt/Ti/SiO2/Si substrates exhibit (100) orientation, larger grain size and higher dielectric tunability (64%). The BCZT thin films deposited on Pt/Ti/SiO2/Si exhibit (110) orientation, higher Curie temperature (75 ℃),better piezoelectric property (d33 of 50 pm/V) and lower dielectric loss (0.02). The differences in dielectric and piezoelectric properties in the two kinds of oriented BCZT films should be attributed to the difference of structure, in-plane stress and polarization rotation in orientation engineered BCZT films.
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