Original document(7 pages) Authorized document(6 pages) 中文版
    The special enzyme preparation or enzyme washing fabrics is characterized in selecting green mold or aspergillus flavus or aspergillus niger as culture, and is prepared through the processes of fermentation, extraction and concentration to form A,B and C three varieties of enzyme preparation; it is suitable for finishing and leaching cotton, flax, silk and blending fabrics to make them smooth and soft, improving their break strength, stiffness and elasticity, and reducing their shrinkage percentage.
Application Number
申请号
94113376 Application Date
申请日
1994.12.28
Title 名称 Enzyme preparation special for enzyme washing tertile products and its preparing method
Publication Number
公开号
1109504 Publication Date
公开日
1995.10.04
Approval Pub. Date Granted Pub. Date 2002.02.20
International Classification 分类号 C11D3/386,C12N9/14,C12N9/42,C12N9/62,C12Q1/34,C12Q1/37
Applicant(s) Name
申请人
Enzyme Engineering Inst., Shaanxi Science Academy
Address 地址 710600
Inventor(s) Name 发明人 Liu Tao, Liu Zhimei
Attorney & Agent 代理人 REN YUE

  
Long-short message transmission method of CDMA network
Method for producing high grade of diesel oil by charking full distillate oil
Combined hydrocracking method
Method for constructing groundwork for large-scale sinking well in deep water
An antitumor medicinal composition and its preparation method
5+3 levels pipeline structure and method in RISC CPU
Method and device for monitoring status of computer power supply fan
Implementation method of dot matrix word library of embedded system
A satisfaction-based multi-user scheduling method in the multi-antenna system
System and method for realizing CDMA and GSM network long and short message intercommunication
Google
Note:All patent data come from State Intellectual Property Office of the People's Republic of China. If there were discrepancies between here and the State Intellectual Property office, the later is more accurate. The patent data is only for public exchange and learning purposes. We are not responsible for the adverse consequences with unverified use of the data.