在利用生化分析仪用分光光度计对血液等样品进行分析时，由于样品中不同组分对不同波段的光吸收有所差异，尤其在能量衰减较大和非特征吸收波段表现得更加突出，并且电路中各种噪音和光路杂散光的存在，使得光度测量的准确率降低.本文使用线阵CCD积分时间的自动调节和分段分时采光等优化算法，将强吸收与弱吸收分开曝光，在保证强吸收正常的前提下，自动调整积分时间来增大弱吸收的信号.采用自行研制的基于CzernyTurner型分光光路和线阵CCD探测的高分辨率生化分析仪作为分光光度计，经实验测试，该方法有效地提高了光度测量的准确度，同时提高了系统的性能和信噪比.此外，该分光光度计系统的光谱测量范围可达300~800 nm，波长分辨率优于2 nm.

Although the spectrophotometer for biochemical analyzer (BCA) has been applied to the properties analysis of biological samples including blood, some factors result in reducing the spectral measurement accuracy in practice. For example, the spectral absorbances are different for the various components in sample at different absorption wavebands, especially at the larger energy attentuation waveband and noncharacteristic absorption waveband, which leads to the signals of strong absorbances are very large, but for weak absorbances, the singals are very small even covered by noises. Additionally, various noises generated by electronic devices and straylight also bring serious interference for system. To solve these drawbacks above mentioned, an optimize algorithm of automatic adjustment of linear charge coupled devices(CCD) integration time combined with time and data division was used to realize the separate exposure for strong absorption and weak absorption spectrum, which improved the weak signals under the condition of strong signals were normal. Experiments were done by using a custombulit high resolution spectrophotometer for BCA based on CzernyTurner splittinglight monochrometer and linear CCD. Experimental results demonstrated that the improved method effectively enhanced the spectral measurement accuracy, system performance and signaltonoise ratio. In additon, the spectral range of this spectrophotometer for BCA can reache 300~800 nm, wavelength resolution less than 2 nm.