White Light Scanning Interferometry Adapted for Large-Area Optical Analysis of Thick and Rough Hydroxyapatite Layers

触针 材料科学 生物矿化 扫描电子显微镜 表面光洁度 白光干涉法 纳米技术 表面粗糙度 显微镜 复合材料 矿物学 干涉测量 光学 化学工程 化学 工程类 物理 操作系统 计算机科学
作者
E. Pecheva,P.C. Montgomery,D. Montaner,Lilyana Pramatarova
出处
期刊:Langmuir [American Chemical Society]
卷期号:23 (7): 3912-3918 被引量:42
标识
DOI:10.1021/la061593f
摘要

Understanding the mechanisms of biomineralization continues to be an important area of research in physics, chemistry, materials science, medicine, and dentistry due to its importance in the formation of bones, teeth, cartilage, etc. Stimulated by these fascinating natural examples, as well as by certain others such as shells and corals, attempts are being made to develop synthetic, biomimetic nanocomposites by simulating the basic principles of biomineralization. We have grown biolike hydroxyapatite layers in vitro on substrates of stainless steel, silicon, and silica glass by using a biomimetic approach (i.e., immersion in a supersaturated simulated body fluid). Hydroxyapatite is one of the most common natural biomaterials and an important structural component of bones and teeth. Metal substrates are of interest for hard tissue implants, while semiconductors and glasses are under investigation for their use as biosensors. Using classical techniques such as stylus profiling, atomic force microscopy (AFM), and scanning and transmission electron microscopy (SEM and TEM), it was found difficult, ambiguous, destructive, or time-consuming to measure the topography, thickness, and profile of the grown heterogeneous, thick, and rough hydroxyapatite layers. On the other hand, coherence probe microscopy based on white light scanning interferometry and image processing provides rapid, contactless measurements of surface roughness and does not need any sample preparation. The results obtained have shown a typical layer thickness of up to 20 μm and an average root-mean-square (rms) roughness of about 4 μm. The hydroxyapatite investigated in this work presents nonetheless a challenge for this technique because of its semitranslucence, high surface roughness, and the presence of cavities formed throughout its volume. This results in a variable quality of fringe pattern, ranging from classical fringes (on a smooth surface) to complex fringes displaying properties of white light speckle (on a rough surface), together with multiple fringe signals along the optical axis in the presence of buried layer interfaces, which in certain configurations affect the axial and lateral precision of the measurement. In this paper we present the latest results for optimizing the measurement conditions in order to reduce such errors and to provide additional useful information concerning the layer.
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