Entity

Time filter

Source Type


Tai H.,China Agricultural University | Tai H.,Applied Technology Internet | Tai H.,Key Laboratory of Agricultural | Tai H.,Beijing Engineering Center | And 19 more authors.
Sensor Letters | Year: 2013

This paper presents an intelligent ammonia sensor based on multi-parameter for aquaculture. Against the ammonia sensors based on the electrochemistry have the problems of complex detection process, high cost of use and maintenance and difficult to realize quick measurement in situ, according to the solution of intelligent sensor, a sensor which integrates Ammonia sensitive, Ammonia ion, pH and temperature probes is developed, using the method of hardware filtering combination with software filtering, solved the problem of output signal weak of ion selective electrode and easy to be interfered. Used multi-sensor data fusion algorithm, and achieved In-situ fast detection of ammonia nitrogen content of water, achieving a quick detection of content of Ammonia and Nitrogen of water in site. This sensor has the characteristics of not requiring the pretreatment of water sample, easy operation, low cost and no pollution. Copyright © 2013 American Scientific Publishers. Source


Deng B.,Huazhong Agricultural University | Ding Y.,Huazhong Agricultural University | Wen J.,Huazhong Agricultural University | Peng J.,Huazhong Agricultural University | And 4 more authors.
Indian Journal of Animal Sciences | Year: 2012

Myostatin (MSTN), mainly expressed in muscle, inhibits the growth of skeletal muscle and regulates the formation of adipose tissue. This study examined the expression of MSTN, activin-receptor-type II B (ACVR2B), peroxisome proliferator-activated receptor (PPAR) g and adipocyte specific fatty acid binding protein (aP2) in longissimus muscle, back fat and abdominal fat at the stages of 35-day, 2-month, 3-month, 4-month and 6-month Meishan pig respectively, using quantitative real-time PCR methods. Our results showed that the expressions of MSTN and its receptor (ACVR2B) were lower in adipose tissue (back fat and abdominal fat) than in muscle at all stages. Both MSTN and its receptor had different expression patterns in longissimus muscle, back fat and abdominal fat. MSTN had a weak correlation with aP2 and PPARg in longissimus muscle.The expression of MSTN had a positive correlation with aP2 and PPARg in back fat, however that of MSTN had a negative correlation with aP2 and PPARg in abdominal fat. Results indicated that those 3 tissues might respond differently at growing stages to MSTN signaling. Source

Discover hidden collaborations