Stokke B T, Elgsaeter A, Hara C, Kitamura S, Takeo K
Norwegian Biopolymer Laboratory, Department of Physics, University of Trondheim, NTH.
Biopolymers. 1993 Apr;33(4):561-73. doi: 10.1002/bip.360330406.
The physical dimensions of several (1-->6) branched (1-->3)-beta-D-glucan samples obtained from different organisms and their derivatives have been studied by electron microscopy, light scattering measurements, viscometry, and gel permeation chromatography. The electron micrographs indicate that in most samples these biopolymers are adequately described as linear worm-like coils. A sample reconstituted from alkaline media appeared as a blend of the linear, circular, and aggregated polymer morphologies. The average mass per unit length, ML = Mw/Lw for the macroscopically linear samples, was estimated to be 2100 +/- 200 g mol-1 nm-1. The parameter ML was determined from the contour lengths obtained by electron microscopy and the molecular weight by light scattering measurements. The observed ML was consistent with the triple-helical structure reported from x-ray diffraction studies and observed degree of side-chain substitution. From the molecular snapshots shown in the electron micrographs, the persistence lengths of these beta-D-glucans were determined to be 140 +/- 30 nm. The experimentally determined intrinsic viscosities were consistent with these estimates of ML and persistence length. Comparison of the molecular weight distributions obtained from gel permeation chromatography and those deduced from the electron micrographs indicates that number and weight average contour lengths are more reliable than z and z + 1 averages.
通过电子显微镜、光散射测量、粘度测定和凝胶渗透色谱法,对从不同生物体及其衍生物中获得的几种(1→6)分支(1→3)-β-D-葡聚糖样品的物理尺寸进行了研究。电子显微镜照片表明,在大多数样品中,这些生物聚合物可充分描述为线性蠕虫状螺旋。从碱性介质中重构的样品呈现出线性、圆形和聚集聚合物形态的混合。对于宏观线性样品,每单位长度的平均质量ML = Mw/Lw估计为2100±200 g mol-1 nm-1。参数ML由电子显微镜获得的轮廓长度和光散射测量得到的分子量确定。观察到的ML与X射线衍射研究报道的三螺旋结构和观察到的侧链取代度一致。从电子显微镜照片中显示的分子快照来看,这些β-D-葡聚糖的持久长度确定为140±30 nm。实验测定的特性粘度与ML和持久长度的这些估计值一致。凝胶渗透色谱法获得的分子量分布与从电子显微镜照片推导的分子量分布的比较表明,数均和重均轮廓长度比z和z + 1平均值更可靠。