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Determination of Lycopene Concentration in Dog Plasma by RP-HPLC
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作者 王会娟 李馨儒 +1 位作者 黄燕清 刘艳 《Journal of Chinese Pharmaceutical Sciences》 CAS 2004年第4期259-261,共3页
A method for determination of lycopene concentration in dog plasma wasestablished. Methods RP-HPLC was used; the mobile phase consisted of methanol-acetonitrile-methylenechloride (40:30:30, V/V) , the wavelength of de... A method for determination of lycopene concentration in dog plasma wasestablished. Methods RP-HPLC was used; the mobile phase consisted of methanol-acetonitrile-methylenechloride (40:30:30, V/V) , the wavelength of detection was 472 nm, the column temperature wasambient temperature, and the flow rate was 1.0 mL·min^(-1). Results The standard curve was linearin the range from 0.012 4 to 0.496 μg·mL^(-1) with r=0.9992. The average extraction recovery was97.6% +-4.2%. The intra-day and inter-day RSD were 1.52% -4.95% and 2.31% -7.38%, respectively.Conclusion This method is sensitive, rapid, reproducible, and of good selectivity for the analysisof lycopene in dog plasma. 展开更多
关键词 LYCOPENE plasma concentration RP-HPLC
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TRIPLET CIRCULAR HOUGH TRANSFORM FOR CIRCLE DETECTION 被引量:1
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作者 Luo Daisheng He Xiaohai Teng Qizhi Tao Qingchuan (institute of Electronics and Information, University of Sichuan, Chengdu 610064) 《Journal of Electronics(China)》 2002年第4期356-362,共7页
A new method, triplet circular Hough transform, is proposed for circle detection in image processing and pattern recognition. In the method, a curve in an image is first detected. Next, a sequence of three points on t... A new method, triplet circular Hough transform, is proposed for circle detection in image processing and pattern recognition. In the method, a curve in an image is first detected. Next, a sequence of three points on the curve are selected, a sequence of parameters (a,b,r) corresponding to the three points are calculated by solving the circle equation of the curve, and two 2-D accumulators A(a,b) and R(a,b) are accumulated with 1 and r, respectively. Then the parameters {(a, b, r)} of the circles fitting the curve are determined from A(a,b) and R(a,b) by searching for the local maximum over A(a,b). Because no computation loops over center (a, 6) and/or radius r are needed, the method is faster than the basic and directional gradient methods. It needs also much smaller memory for accumulation. 展开更多
关键词 Image processing Pattern recognition Curve detection Circular Hough transform Circle detection
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