The concentration of free hemoglobin (FHb) in blood bag is an important index to evaluate blood quality. And the chemical method, which is widely used in clinic, not only wastes precious blood resources, but also consumes time, be labor-intensive, and pollutes the environment. Although spectral analysis can make up for the shortcomings of traditional chemical methods, its accuracy also be seriously affected due to unstable the optical parameters of the blood bag and complexity of blood composition. Therefore, this paper proposed a wavelength selection method based on modified ant colony optimization (ACO) algorithm. This algorithm firstly calculates the correlation coefficient between each wavelength and the FHb concentration as the initial pheromone for each wavelength to improve the convergence speed of ACO algorithm; Then, the optimized wavelengths are sorted according to the intensity of the pheromone, the number of optimized wavelengths for modeling is increased in turn, and the root-mean-square error of the model is used as an evaluation index to determine the final optimal wavelength. In this study, a small tube in the front of the blood bag was used as a container, and the transmission spectrum of plasma in the small tube was collected. The regression results of the optimized spectrum were compared with that of the original spectral. The experimental results showed that the method proposed in this paper can obviously improve the analysis accuracy of blood quality, which means this method can effectively inhibit the influence of non-target components and the difference in blood bags on the detection of blood quality.
With the continuous development of spectral analysis technology, on-line spectral analysis technology has been widely applied. It can real-time monitor the key links in the process of liquid transportation, and provide real-time guidance for reliable and efficient liquid delivery. In the process of non-sampling real-time measurement of the solution in a flexible conveying tube, the accuracy of the spectral analysis is reduced due to the differences in optical parameters of the flexible conveying tubes. Therefore, this paper studies the effects of differences in flexible conveying tubes on on-line spectral analysis. A standard solution calibration method was proposed to suppress the interference caused by the differences of flexible conveying tubes based on the modified Lambert Beer's law. The calibrated spectral data is modeled by partial least squares regression to reduce the analysis error introduced by the optical differences of the flexible conveying tubes. An experiment was designed to verify the feasibility of the method by using a mixed solution of Intra-lipid and India-Ink as an analytical sample and using a polyvinyl chloride (PVC) material tube as a flexible conveying tube. The experimental results show that the method of calibrating the differences of the flexible conveying tubes by the standard solution is feasible, and effectively inhibits the impact of the differences of the conveying tubes on the online spectral analysis.
In the spectral analysis for biological fluids compositions, the sensitivity of trace compositions reflected in the spectral is very small, which results in the low measurement accuracy. This paper proposes a “Multi-dimension and Multi-mode spectroscopy method” to improve the measurement accuracy of trace compositions by two aspects of spectral acquisition and data processing: measuring the biological fluids sample at multiple modes so that multiple spectral for each sample can be obtained which will carry more information about trace compositions, then connecting these spectral to increase the spectral data dimension that is equivalent to increase the number of constraint equations in the modeling process, the error will be reduced through more constraint equations. An experiment was designed: taking the cholesterol concentration (2.57-8.1mmol/L) in blood plasma as the tested object, the blood plasma was irradiated with tungsten lamp and ultraviolet light source respectively, ultraviolet light stimulates blood plasma can produces fluorescence, the obtained transmission spectrum and fluorescence spectrum were rearranged to build the model. Experimental results showed that the analysis accuracy of cholesterol had been significantly improved. This research provided a new thinking of the analysis for biological fluids trace compositions.
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