血细胞压积与平均血红蛋白浓度的可见-近红外光谱无创检测  

Noninvasive Detection of Hematocrit and the Mean Corpuscular Hemoglobin Concentration Levels by Vis-NIR Spectroscopy

作　　者：赵静[1] 林凌[2] 陆小左[1] 李刚[2] 

机构地区：[1]天津中医药大学中医药工程学院,天津300193 [2]天津大学,精密测试技术及仪器国家重点实验室,天津300072

出　　处：《光谱学与光谱分析》2014年第3期652-655,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(81202643;81173202)资助

摘　　要：血细胞压积和平均血红蛋白浓度的检测对于心脑血管疾病以及贫血等疾病的预防和治疗起着非常重要的作用,为了能够无创、准确的对血细胞压积和平均血红蛋白浓度进行检测,本研究提出了一种基于光谱技术的检测方法。经解剖学研究表明,在微循环中,血流变的异常以及血液粘稠度的改变均能引起舌象的变化,即舌象和血液成分之间存在一定的相关性,所以本研究通过采集240例志愿者舌尖反射光谱,同时拍摄志愿者舌体图片和记录生化分析结果。在进行数学建模前,首先将240例志愿者随机分为校正集和验证集,运用偏最小二乘分别建立数学模型,校正集预测值和生化分析真实值之间相关系数分别为0.998和0.938,运用所建数学模型对验证集未知样本进行预测,验证集未知样本的预测结果与生化分析真实值之间相关系数分别为0.979和0.883,平均相对误差分别为1.65%和1.88%,均方根误差分别为4.066和4.139,由实验结果可见,所建立的模型可以较好的对HCT和MCHC进行预测,同时实验结果也表明近红外光谱分析结合偏最小二乘方法有可能能够为血细胞压积和平均血红蛋白浓度的检测提供一种无创的检测方法。Hematocrit（HCT） and mean hemoglobin concentration（MCHC） play a very important role in preventing cardiovascu-lar disease and anemia. A method was developed on the basis of spectroscopy to detect HCT and MCHC non-invasively and accu-rately. The anatomical study showed that the blood rheology abnormalities and blood viscosity ’s changes can cause the changes of tongue ,so there is a certain correlation between tongue and blood components. Reflectance spectrums from the tongue tips of 240 volunteers were collected ,then the tongue pictures were captured and the biochemical analysis results were recorded at the same time. The 240 samples were separated into two parts ：calibration sample and test sample. Spectra were then subjected to a partial least squares regression （PLSR） analysis to develop mathematics models for predicting HCT levels. The correlation be-tween the data and prediction of HCT and MCHC yielded calibration samples value of 0.998 and 0.938. HCT and MCHC levels of test samples predicted by this model from Visible-Near infrared spectra provided a coefficient of determination in prediction of 0.979 and 0.883 with an average relative error of prediction of 1.65% and 1.88% ,a root mean square error of prediction of 4.066 and 4.139. From the experiment results we can see that the model which was built before can better predict the HCT and MCHC ,and the results also showed that spectrometry method may provide a promising approach to the noninvasive measure-ment of human HCT and MCHC with a combination of PLSR analysis.

关 键 词：血细胞压积 平均血红蛋白浓度 可见-近红外光谱 无创检测 舌尖 HEMATOCRIT (HCT) Mean corpuscular HEMOGLOBIN concentration (MCHC) 

分 类 号：O657.3[理学—分析化学]