Prediction of Escherichia coli concentration from wetting properties of beach sand using machine learning models

IF 2.7 4区材料科学 Q3 CHEMISTRY, PHYSICAL

Surface Innovations Pub Date : 2023-02-03 DOI:10.1680/jsuin.22.01087

Md Syam Hasan, Alma Nunez, Michael Nosonovsky, Marcia R. Silva

引用次数: 0

Abstract

The presence of Escherichia coli (E. coli) in beach sand is directly related to public health outcomes. Physicochemical and wetting properties of sand influence the survival and proliferation of these indicator bacteria. In this study, we aim to predict E. coli concentration using some of these properties including zeta potential, moisture content, BET surface area, BET pore radius, state of sand, processing temperature, and water contact angle of the beach sand. We have developed five Machine Learning regression models including the Artificial Neural Network (ANN), Support Vector Machine (SVM), Gradient Boosting Machine (GBM), Random Forest (RF), and k-Nearest Neighbors (KNN) for this. ANN outperformed other models in predicting E. coli concentration. In the data-driven analysis, the state of sand, processing temperature, and the contact angle presenting the wettability of the sand are identified as the most crucial parameters in predicting E. coli concentration.

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利用机器学习模型从沙滩的润湿特性预测大肠杆菌浓度

海滩沙中大肠杆菌的存在与公共卫生结果直接相关。沙子的理化性质和润湿性质影响这些指示菌的生存和增殖。在这项研究中，我们的目标是利用一些属性来预测大肠杆菌的浓度，包括zeta电位、水分含量、BET表面积、BET孔半径、沙子的状态、处理温度和海滩沙子的水接触角。为此，我们开发了五种机器学习回归模型，包括人工神经网络(ANN)、支持向量机(SVM)、梯度增强机(GBM)、随机森林(RF)和k近邻(KNN)。ANN在预测大肠杆菌浓度方面优于其他模型。在数据驱动的分析中，砂的状态、处理温度和代表砂润湿性的接触角被确定为预测大肠杆菌浓度的最关键参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Surface Innovations CHEMISTRY, PHYSICALMATERIALS SCIENCE, COAT-MATERIALS SCIENCE, COATINGS & FILMS

CiteScore

5.80

自引率

22.90%

发文量

期刊介绍： The material innovations on surfaces, combined with understanding and manipulation of physics and chemistry of functional surfaces and coatings, have exploded in the past decade at an incredibly rapid pace. Superhydrophobicity, superhydrophlicity, self-cleaning, self-healing, anti-fouling, anti-bacterial, etc., have become important fundamental topics of surface science research community driven by curiosity of physics, chemistry, and biology of interaction phenomenon at surfaces and their enormous potential in practical applications. Materials having controlled-functionality surfaces and coatings are important to the manufacturing of new products for environmental control, liquid manipulation, nanotechnological advances, biomedical engineering, pharmacy, biotechnology, and many others, and are part of the most promising technological innovations of the twenty-first century.