光学 精密工程, 2013, 21 (9): 2231, 网络出版: 2013-09-25  

基于逆向蒙特卡洛法的溶液葡萄糖浓度低相干测量

Low-coherence measurement of glucose concentration in solution based on inverse Monte Carlo method
林林 1,*张梅 2
作者单位
1 广东医学院 信息工程学院, 广东 东莞 523808
2 东莞理工学院 电子工程学院, 广东 东莞 523808
摘要
提出了基于蒙特卡洛逆运算的葡萄糖含量低相干干涉测量方法, 理论研究了葡萄糖含量与光学参数的相关性。通过正向蒙特卡洛数值模拟说明了从干涉曲线中同时求解散射系数和吸收系数的条件和可行性。以脂肪乳悬混溶液Intralipid作为实验对象, 研究了糖浓度变化对深度相关干涉信号的影响。利用低相干干涉测量系统配合逆向蒙特卡洛计算提取了散射和吸收系数, 进而通过散射和吸收系数的变化量间接获得了溶液葡萄糖含量。对实验结果与双积分球测量结果进行了比较验证, 并对存在的系统误差进行了修正。实验结果显示, 在加入修正值后, 测量的散射和吸收系数的最大相对误差分别为2.52%和3.11%。研究结果表明, 葡萄糖含量与散射系数和干涉曲线存在高度相关性, 在非前向散射条件下, 可以同时测量吸收和散射系数。经过校准后的测量结果满足了实际要求。
Abstract
On the basis of the inverse Monte Carlo algorithm, a low coherent interferomtric measuring method for the glucose concentration was proposed, and the correlation of the glucose concentration and optical parameters was explored theoretically. The feasibility of reconstruction of absorption and scattering coefficients simultaniously according to interferometric curves was analyzed with the Monte Carlo method. By taking fat suspension Intralipid as a turbid sample, the effect of glucose concentration change on the interferometric signals of depth correlation was researched. Then the scattering and absorption coefficients of the sample were extracted separately and the solution glucose concentration was obtained by the variation from scattering and absorption coefficients indirectly. Results of low coherent measurement was proved by a double integral sphere system and the invariable systematic errors was corrected. With proper correction, it shows that the maximum relative errors are 2.52% and 3.11% for scattering and absorption coefficients respectively. The results demonstrate the strong correlation between glucose and interferomic line as well as scattering coefficient and prove that the scattering and absorption coefficients can be measured in a non-forward scattering.

林林, 张梅. 基于逆向蒙特卡洛法的溶液葡萄糖浓度低相干测量[J]. 光学 精密工程, 2013, 21(9): 2231. LIN Lin, ZHANG Mei. Low-coherence measurement of glucose concentration in solution based on inverse Monte Carlo method[J]. Optics and Precision Engineering, 2013, 21(9): 2231.

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