本文用宽分布(M_w/M_n=6.3)及窄分布(M_w/M_n=1.22)两种模型函数,改变一系列加宽因子,“合成”了具有不同加宽程度的GPC谱图,然后计算平均分子量并与原模型分子量进行比较,考察分子量分布对峰加宽改正程度的影响.结果表明:分子量分布宽、窄在峰形改正上有着明显差异,窄分布要比宽分布改正得多.但对于分子量平均值来说,宽分布与窄分布的峰加宽改正程度是相同的.因此,通常认为宽分布试样在平均分子量计算时可以忽略峰加宽改正的说法是一种误解。 In this paper, a series of broadening factors were changed by using two model functions: wide distribution (M_w / M_n = 6.3) and narrow distribution (M_w / M_n = 1.22) to synthesize GPC spectra with different broadening degrees, Molecular weight and the molecular weight of the model were compared to investigate the effects of molecular weight distribution on the degree of peak broadening correction.The results show that: the molecular weight distribution is broad, narrow in the peak shape correction has a significant difference, narrow distribution than the wide distribution correction much.But for As a result, it is generally misunderstood that the wide distribution can ignore the peak broadening correction when calculating the average molecular weight.