Hall J W, Pollard A
Department of Clinical Biochemistry, Mount Sinai Hospital, Toronto, Ontario, Canada.
Clin Biochem. 1993 Dec;26(6):483-90. doi: 10.1016/0009-9120(93)80013-k.
We have determined total protein, albumin, globulins, and urea in unmodified human serum using near-infrared (NIR) spectroscopy. The distinctive NIR spectrum of the individual protein fractions allowed unique spectroscopic models to be derived for each fraction using multiple linear least-squares regression (MLR). A more sophisticated partial least-squares (PLS) regression analysis was necessary to fully extract the relevant spectral information for urea. The serum protein data sets consisted of 235 calibration samples and 85 prediction samples. The total protein calibration yielded a multiple correlation coefficient (R) of 0.986 and a standard error of calibration (SEC) of 1.7 g/L. For the validation data set, a correlation coefficient (r) of 0.985 and standard error of prediction (SEP) of 1.7 g/L were obtained. For albumin, the values were R = 0.982 and SEC = 1.2 g/L for calibration and r = 0.984 and SEP = 1.1 g/L for prediction. Calibration results for globulins were R = 0.916 and SEC = 2.1 g/L; validation results were r = 0.885 and SEP = 2.2 g/L. The sum of the separately estimated albumin and globulin fractions agreed well with the total protein estimate. For urea, the calibration model (n = 422) provided an R = 0.994 and SEC = 0.7 mmol/L and the validation results (n = 208) were r = 0.993 and SEP = 0.8 mmol/L. The within-day and between-day precision values (CVs) were respectively, 1.2 and 1.3% for total protein, 1.7 and 1.1% for albumin, 1.5 and 1.3% for globulins, and 8.3 and 5.5% for urea.
我们使用近红外(NIR)光谱法测定了未改性人血清中的总蛋白、白蛋白、球蛋白和尿素。各个蛋白质组分独特的近红外光谱使得能够通过多元线性最小二乘法回归(MLR)为每个组分推导独特的光谱模型。为了充分提取尿素的相关光谱信息,需要进行更复杂的偏最小二乘法(PLS)回归分析。血清蛋白质数据集由235个校准样品和85个预测样品组成。总蛋白校准得到的多元相关系数(R)为0.986,校准标准误差(SEC)为1.7 g/L。对于验证数据集,相关系数(r)为0.985,预测标准误差(SEP)为1.7 g/L。对于白蛋白,校准值为R = 0.982,SEC = 1.2 g/L,预测值为r = 0.984,SEP = 1.1 g/L。球蛋白的校准结果为R = 0.916,SEC = 2.1 g/L;验证结果为r = 0.885,SEP = 2.2 g/L。单独估计的白蛋白和球蛋白组分之和与总蛋白估计值吻合良好。对于尿素,校准模型(n = 422)的R = 0.994,SEC = 0.7 mmol/L,验证结果(n = 208)为r = 0.993,SEP = 0.8 mmol/L。总蛋白的日内和日间精密度值(CV)分别为1.2%和1.3%,白蛋白为1.7%和1.1%,球蛋白为1.5%和1.3%,尿素为8.3%和5.5%。