一种用于从扫描电子显微镜图像确定磁性纳米颗粒吸油策略的自动化算法。

An automated algorithm for the determination of oil absorption strategy of magnetic nanoparticles from SEM images.

作者信息

S M Dhiepthie, S Wilfred Franklin

机构信息

Department of Electronics and Communication Engineering, CSI Institute of Technology (Affiliated to Anna University,Tamil Nadu, India), Thovalai, Nagercoil, 629302, Tamil Nadu, India.

出版信息

Micron. 2023 Sep;172:103505. doi: 10.1016/j.micron.2023.103505. Epub 2023 Jun 29.

DOI:10.1016/j.micron.2023.103505

PMID:37442026

Abstract

In recent years, the magnetic iron oxide nanoparticles (MNPs) are employed as efficient absorbents for oil removal from water. In this research, the particle size (diameter) obtained from Scanning Electron Microscopy (SEM) images of MNPs, before and after oil-absorption, are utilized to determine the oil-absorption capacity. However, the manual evaluation of the particle size and particle size distribution (PSD) are highly time-consuming and needs expertised people for accurate analysis. Hence, an image processing algorithm is employed for the determination of particle size and PSD from the Scanning Electron Microscopy (SEM) images. The key objective revolves with the preparation of the Maleic Anhydride Grafted Polypropylene anchored Magnetic Nanoparticles (MAPP-a-MNPs) to absorb crude oil from the marine water. The shape, size, and size distribution of MAPP-a-MNPs were assessed by both manual and automated analysis. For this purpose, expertise people help with the manual analysis and Threshold Adaptive-Canny Edge Detection (TA-CED) and Accumulator Updated-Circular Hough Transform (AU-CHT) method is employed for automated analysis. All the automated process were conducted in MATLAB and the measurements were taken for both before and after the oil absorption images. These measurements aid us to determine the quantity of oil absorbed by MAPP-a-MNPs. The results demonstrates excellent oil removal capacity of MAPP-a-MNPs.

摘要

近年来，磁性氧化铁纳米颗粒（MNPs）被用作从水中去除油污的高效吸附剂。在本研究中，利用扫描电子显微镜（SEM）图像获取的MNPs吸油前后的粒径（直径）来确定吸油能力。然而，手动评估粒径和粒径分布（PSD）非常耗时，并且需要专业人员进行准确分析。因此，采用一种图像处理算法从扫描电子显微镜（SEM）图像中确定粒径和PSD。关键目标是制备马来酸酐接枝聚丙烯锚定磁性纳米颗粒（MAPP-a-MNPs）以从海水中吸收原油。通过手动和自动分析评估了MAPP-a-MNPs的形状、尺寸和尺寸分布。为此，专业人员协助进行手动分析，并采用阈值自适应Canny边缘检测（TA-CED）和累加器更新圆形霍夫变换（AU-CHT）方法进行自动分析。所有自动化过程均在MATLAB中进行，并对吸油前后的图像进行了测量。这些测量有助于我们确定MAPP-a-MNPs吸收的油量。结果表明MAPP-a-MNPs具有出色的除油能力。