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2022

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Articles 301 - 330 of 9306

Full-Text Articles in Engineering

Performance Analysis: Using The Northern Sea Route As An Alternative To Traditional Routes, Liangkun Xu, Qing Yu Dec 2022

Performance Analysis: Using The Northern Sea Route As An Alternative To Traditional Routes, Liangkun Xu, Qing Yu

Journal of Marine Science and Technology–Taiwan

The grounding accident of M/V EVER GIVEN in the Suez Canal causes a catastrophic loss on shipping companies. Alternatively, previous studies have presented encouraging findings of the remarkable benefits of time and cost saving in the Northern sea route (NSR) due to extend the ice-free time and shorten the distance. Ships using the NSR could shorten as much as 40% of the sailing distance from China (Shanghai) to Europe (Rotterdam) compared with the traditional route via the Suez Canal. This paper investigates the economic potential of using the NSR as a cost-effective route in comparison with Suez Canal Route (SCR) …


Numerical And Approximate Analytic Solutions Of Second- Order Nonlinear Boundary Value Problems, Chein-Shan Liu, Jian-Hung Shen, Yung-Wei Chen Dec 2022

Numerical And Approximate Analytic Solutions Of Second- Order Nonlinear Boundary Value Problems, Chein-Shan Liu, Jian-Hung Shen, Yung-Wei Chen

Journal of Marine Science and Technology–Taiwan

The shooting method consists of guessing unknown initial values, transforming a second-order nonlinear boundary value problem (BVP) to an initial value problem and integrating it to obtain the values at the right end to match the specified boundary condition, which acts as a target equation. In the shooting method, the key issue is accurately solving the target equation to obtain highly precise initial values. Due to the implicit and nonlinear property, we develop a generalized derivative-free Newton method (GDFNM) to solve the target equation, which offers very accurate initial values. Numerical examples are examined to show that the shooting method …


Optimization Of Circular Silencers Internally Hybridized With Multiple Reverse Chambers Using The Ga Method, Min-Chie Chiu, Ying-Chun Chang, Tian-Syung Lan, Ho-Sheng Chen Dec 2022

Optimization Of Circular Silencers Internally Hybridized With Multiple Reverse Chambers Using The Ga Method, Min-Chie Chiu, Ying-Chun Chang, Tian-Syung Lan, Ho-Sheng Chen

Journal of Marine Science and Technology–Taiwan

A noise abatement method using an eigen function in conjunction with an optimizer (Genetic Algorithm) under a space-constrain situation is proposed in this study concerning a high order wave propagation effect. An eigen function is used to describe an acoustical field and shorten the acoustical model in a four-pole transfer matrix form. The system’s four-pole matrix estimates the Transmission Loss (TL) for the silencers by multiplying individual four-pole matrices.

Additionally, a case study of an air compressor’s broadband noise elimination is introduced. Three types of circular reverse silencers (silencers A-C) internally hybridized with multiple straight chambers are adopted to efficiently …


Numerical Investigation Of The Uncertainty Of Typhoon Wave Parameters Retrieval Using Hf Radar, Toan Duy Dao, Hwa Chien Dec 2022

Numerical Investigation Of The Uncertainty Of Typhoon Wave Parameters Retrieval Using Hf Radar, Toan Duy Dao, Hwa Chien

Journal of Marine Science and Technology–Taiwan

The aim of this study was to identify the sources of uncertainties of typhoon wave field monitoring using HF radar and to quantitatively assess the bias of the wave parameters, such as significant wave height and mean period, retrieved under various conditions. The strategy was to apply a purely numerical simulation of the Doppler-range spectra and then compare the estimation results to the target. For the quantitative investigation, a numerical test-bed was established. The test-bed was used to simulate the Doppler spectra based on Barrick’s (1972) theory by using the input of the directional wave spectra. The typhoon wave spectra …


A Fused Data Based Real-Time Collision Warning System For Ferries In The Yangtze River, Xiaojia Liu, Ke Zhang, Han Xue, Yingtang Li Dec 2022

A Fused Data Based Real-Time Collision Warning System For Ferries In The Yangtze River, Xiaojia Liu, Ke Zhang, Han Xue, Yingtang Li

Journal of Marine Science and Technology–Taiwan

The risks for ferries in the Yangtze River are relatively high, as they frequently cross the main traffic flows, leading to more intersections with other upwards and downwards ships. Although some studies have developed many models to assess collision risks in the Yangtze River, collision warning studies on ferries are scant. Meanwhile, most of the current collision studies evaluate risk based on AIS data, which are incapable of providing real-time ship information as they are discrete-time series data. In this work, fused data combining radar and AIS data are applied in a real-time ship collision warning model to assess the …


Experimental Study Of The Effect Of A Solid Wing Conveyor On Marine Debris Collection, Erik Sugianto, Jeng-Horng Chen Dec 2022

Experimental Study Of The Effect Of A Solid Wing Conveyor On Marine Debris Collection, Erik Sugianto, Jeng-Horng Chen

Journal of Marine Science and Technology–Taiwan

Marine debris is a global problem that has not been resolved. This has encouraged the emergence of marine debris cleaning technologies, one of which is a conveyor ship. However, how effective conveyors are in collecting waste has not been studied. In this paper, experimental research on conveyors as marine debris collectors is investigated. The capability of catamarans with or without solid wing conveyors to collect marine debris is explored. Three kinds of marine debris collection models are used: no-wing conveyor, a 12.5-cm-long wing conveyor, and an 18.75-cm-long wing conveyor. Artificial marine debris (AMD) is spread on the water surface in …


Solving Nonlinear Boundary Value Problems With Nonlinear Integral Boundary Conditions By Local And Nonlocal Boundary Shape Functions Methods, Chein-Shan Liu, Yung-Wei Chen, Jian-Hung Shen Dec 2022

Solving Nonlinear Boundary Value Problems With Nonlinear Integral Boundary Conditions By Local And Nonlocal Boundary Shape Functions Methods, Chein-Shan Liu, Yung-Wei Chen, Jian-Hung Shen

Journal of Marine Science and Technology–Taiwan

The paper considers the second-order nonlinear boundary value problem (NBVP), which is equipped with nonlinear integral boundary conditions (BCs). Two novel iterative algorithms are developed to overcome the difficulty of NBVP with double nonlinearities involved. In the first iterative algorithm, two nonlocal shape functions incorporating the linear integral terms are derived, and a nonlocal boundary shape function (NBSF) is formulated to assist the solution. Let the solution be the NBSF so that the NBVP can be exactly transformed into an initial value problem. The new variable is a free function in the NBSF, and its initial values are given. For …


Platinum-Iridium Alloys In Jewelry, Nathen C. Christa, Seth Walker, Dylan Hallman Dec 2022

Platinum-Iridium Alloys In Jewelry, Nathen C. Christa, Seth Walker, Dylan Hallman

ME 4133/6133 Mechanical Metallurgy

One of the most widely used metals on the periodic table is Platinum (Pt). The name is derived from the Spanish Platina, meaning “silver.” This malleable, ductile material is widely used in applications due to its unique chemical properties. A couple of these unique properties include a high melting point and good resistance to corrosion or chemical attack. Platinum materials have alloys that are indispensable in the chemical laboratory for electrodes. This allows for material applications in crucibles and dishes to withstand elevated temperatures. Platinum is used primarily in catalytic converters in vehicles converting emissions from the vehicle’s engine into …


High-Carbon Steel In Additive Manufacturing, Chidi N. Agusiegbe, Devin Morton, Emmanuel Moore Dec 2022

High-Carbon Steel In Additive Manufacturing, Chidi N. Agusiegbe, Devin Morton, Emmanuel Moore

ME 4133/6133 Mechanical Metallurgy

High-carbon steel can be processed through numerous methods. The method that will be focused on primarily is processing high-carbon steel through means of additive manufacturing. Additive manufacturing is the industrial production name for 3D printing, a computer-controlled process that creates three-dimensional objects by depositing materials, usually in layers. AM methods like wire laser additive manufacturing (WLAM) and electron beam melting (EBM) are all common methods for fabricating high carbon steel. The perks associated with these methods are that they improve some drawbacks of the natural properties of high-carbon steel. This paper discusses the uses of these additive manufacturing methods along …


Autonomous Gyroscopic 2-Wheel Differential Robot, Haruka Kido, James Vrtis, Luke Anderson, Tarek Elderini Dec 2022

Autonomous Gyroscopic 2-Wheel Differential Robot, Haruka Kido, James Vrtis, Luke Anderson, Tarek Elderini

Electrical Engineering Student Publications

This paper demonstrates the implementation of an autonomous gyroscopic 2-wheel differential robot, including a forward and inverse kinematics simulation in MatLAB, a test hardware robot and programmed demonstration of a simple move forward and spin left motion, and a final configuration of a complete square path based on programming kinematics, gyroscopic speed responses, and remote-control functionality.


Development Of A 3d-Printed Microfluidic Droplet-On-Demand System For The Deterministic Encapsulation And Processing Of Biological Materials, Chandler A. Warr Dec 2022

Development Of A 3d-Printed Microfluidic Droplet-On-Demand System For The Deterministic Encapsulation And Processing Of Biological Materials, Chandler A. Warr

Theses and Dissertations

The growing threat of antimicrobial resistance is among the largest concerns in the world today. One method under development to combat this issue is the encapsulation of microbes in microfluidic droplets for single-cell testing. This method may be able to circumvent the need for a traditional positive cell culture which consumes the majority of the testing time using current diagnostic methods. This dissertation presents a method by which to deterministically encapsulate microbes using an artificial intelligence object detection algorithm and a Droplet-On-Demand microfluidic device. To accomplish this, the Droplet-On-Demand microfluidic device was first developed using a unique 3D-printing manufacturing method. …


Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch Dec 2022

Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch

Chemistry Faculty Research & Creative Works

Although Deep Learning Has Been Applied to the Recognition of Diseases and Drugs in Electronic Health Records and the Biomedical Literature, Relatively Little Study Has Been Devoted to the Utility of Deep Learning for the Recognition of Signs and Symptoms. the Recognition of Signs and Symptoms is Critical to the Success of Deep Phenotyping and Precision Medicine. We Have Developed a Named Entity Recognition Model that Uses Deep Learning to Identify Text Spans Containing Neurological Signs and Symptoms and Then Maps These Text Spans to the Clinical Concepts of a Neuro-Ontology. We Compared a Model based on Convolutional Neural Networks …


The Relationship Between Pilot Experience And Aviation Safety Attitudes, Isabella Piasecki, Steven Le Gall, Brooke Wheeler Dec 2022

The Relationship Between Pilot Experience And Aviation Safety Attitudes, Isabella Piasecki, Steven Le Gall, Brooke Wheeler

Aeronautics Student Publications

Using survey methodologies, 149 people were asked about their safety attitudes, which showed a weak, statistically significant, positive relationship between flight hours and safety attitude score (r = .31).


Development And Deployment Of A Dynamic Soaring Capable Uav Using Reinforcement Learning, Jacob Adamski Dec 2022

Development And Deployment Of A Dynamic Soaring Capable Uav Using Reinforcement Learning, Jacob Adamski

Doctoral Dissertations and Master's Theses

Dynamic soaring (DS) is a bio-inspired flight maneuver in which energy can be gained by flying through regions of vertical wind gradient such as the wind shear layer. With reinforcement learning (RL), a fixed wing unmanned aerial vehicle (UAV) can be trained to perform DS maneuvers optimally for a variety of wind shear conditions. To accomplish this task, a 6-degreesof- freedom (6DoF) flight simulation environment in MATLAB and Simulink has been developed which is based upon an off-the-shelf unmanned aerobatic glider. A combination of high-fidelity Reynolds-Averaged Navier-Stokes (RANS) computational fluid dynamics (CFD) in ANSYS Fluent and low-fidelity vortex lattice (VLM) …


A Miniature And Low-Power Potentiostat For Integration With Wearable Sensors, Franci Franulovic Dec 2022

A Miniature And Low-Power Potentiostat For Integration With Wearable Sensors, Franci Franulovic

Electrical Engineering Theses

The potentiostat is an analytical device and an important part of an electrochemical instrument commonly used in electrochemical experiments to investigate chemical reaction mechanisms and other chemical phenomena. The ability to detect chemical phenomena can be useful for early disease detection. Nowadays conventional potentiostats are designed as benchtop instruments for use in laboratory environments. In contrast, a wearable potentiostat is designed to interface with wearable biochemical sensors for disease diagnostics. This thesis reports a wearable potentiostat that is designed for interfacing with a sensor array (eight to ten working electrodes). The system is battery-powered using lithium-ion batteries. The data is …


Plasmon-Enhanced Quantitative Lateral Flow Assay For Detection Of Neisseria Gonorrhoeae, Jiaqi Wang Dec 2022

Plasmon-Enhanced Quantitative Lateral Flow Assay For Detection Of Neisseria Gonorrhoeae, Jiaqi Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

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Friction Taper Plug Welding As A Repair Method For Fatigue Damage Around Fastener Holes In Aerospace Structures, David Carl Sumsion Dec 2022

Friction Taper Plug Welding As A Repair Method For Fatigue Damage Around Fastener Holes In Aerospace Structures, David Carl Sumsion

Theses and Dissertations

This work details an adaptation of the friction taper plug welding (FTPW) process to repair fatigue damage in 6.35mm AA 7050 t-7451 plate. Aircraft components experience fatigue damage around fastener holes. This damage can be mitigated by enlarging fastener holes. There is no effective repair procedure once holes reach a maximum allowable size. Damaged components must be replaced. A suitable repair process would lead to substantial savings in both time and money. A simulated repair process was developed by machining holes in 6.35mm AA 7050 t-7451 plate. These hoes were then plugged using the FTPW process. Microhardness testing and metallographic …


Estimation Of Cotton Canopy Parameters Based On Unmanned Aerial Vehicle (Uav) Oblique Photography, Jinyong Wu, Sheng Wen, Yubin Lan, Xuanchun Yin, Jiantao Zhang, Yufeng Ge Dec 2022

Estimation Of Cotton Canopy Parameters Based On Unmanned Aerial Vehicle (Uav) Oblique Photography, Jinyong Wu, Sheng Wen, Yubin Lan, Xuanchun Yin, Jiantao Zhang, Yufeng Ge

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Background: The technology of cotton defoliation is essential for mechanical cotton harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has the advantages of low cost, high efficiency and no mechanical damage to cotton and has been favored and widely used by cotton planters in China. However, there are also some problems of low cotton defoliation rates and high impurity rates caused by unclear spraying amounts of cotton defoliants. The chemical rate recommendation and application should be based upon crop canopy volume rather than on land area. Plant height and leaf area index (LAI) is directly connected to plant canopy structure. …


High Carbon Steel In Additive Manufacturing, Emmanuel Moore Ii, Devin Morton, Chid Agusiegbe Dec 2022

High Carbon Steel In Additive Manufacturing, Emmanuel Moore Ii, Devin Morton, Chid Agusiegbe

ME 4133/6133 Mechanical Metallurgy

The first known use of carbon steel dates back to 500 A.D. when a blacksmith mistakenly used iron ore as a primary material for smithing. This material, as the name suggests, is made up of both carbon and iron. This material, as one of the most abundant at the time, was used most frequently in European and Asian countries. “Carbon steel first appeared around the year 500 AD in Damascus steel swords as well as Japanese swords. They were prized for their sharp edges and sturdiness compared to other weapons of the era. The composition of these swords was very …


Integration Of Hadfield Steel Into Modern Body Armor, Jason T. Fridlund Dec 2022

Integration Of Hadfield Steel Into Modern Body Armor, Jason T. Fridlund

ME 4133/6133 Mechanical Metallurgy

The increased lethality of recently fielded projectiles mandates a proportional escalation in armor performance. Recent advancements in ceramic technologies have allowed designers to incorporate harder but more brittle materials into hard armor designs to defeat yet more capable penetrating projectiles. Ceramics suffer from the feature of shattering, however, even when impacted by threats below their design parameters. While this shattering mechanism is used effectively to dissipate energy from high-energy rifle projectiles, it is wasted on low-energy projectiles, and can result in easily damaged lifesaving gear, both of which are undesirable in combat. In contrast, steel body armor has been used …


High Carbon Steel In Additive Manufacturing, Chidi Agusiegbe, Devin Morton, Emmanuel Moore Dec 2022

High Carbon Steel In Additive Manufacturing, Chidi Agusiegbe, Devin Morton, Emmanuel Moore

ME 4133/6133 Mechanical Metallurgy

Infographic demonstrating the composition, and use of high carbon steels as well as the process of the material in additive manufacturing.


2022 Fall Engr333 Project Section A Final Report, Dat Cao, Sam Hoover, Sawyer Masselink, Ian Vanderkooi, Matthew Carlson, Jacob Heeres, Anthony Nykamp, Jacob Wyngarden, Nate Anderson, Anna Giboney, Gia Mien Le, Jonathan Washburn, Jess Camp, Aubree Peters, Alin Stoica, Drew Stoneburner, Claire Sheppard, Alayna Spiering, Reid Veneman, James Viel Dec 2022

2022 Fall Engr333 Project Section A Final Report, Dat Cao, Sam Hoover, Sawyer Masselink, Ian Vanderkooi, Matthew Carlson, Jacob Heeres, Anthony Nykamp, Jacob Wyngarden, Nate Anderson, Anna Giboney, Gia Mien Le, Jonathan Washburn, Jess Camp, Aubree Peters, Alin Stoica, Drew Stoneburner, Claire Sheppard, Alayna Spiering, Reid Veneman, James Viel

ENGR 333

Calvin University has committed to being carbon neutral by 2057. This entails removing all the natural gas consumption for heating, converting to electrical heating options, and then making carbon free electricity. This project looked into four different options: air source heat pumps, ground source heat pumps, renewable natural gas, and the efficiency of current equipment. Each option was examined throughout the course of the semester to determine feasibility of each solution, and which ones would be best to implement. As a class, section A decided ground source heat pumps along with thermostatic valves and the implementation of double pane windows …


A Brief Review Of Dns, Root Servers, Vulnerabilities And Decentralization, Mallory Runyan Dec 2022

A Brief Review Of Dns, Root Servers, Vulnerabilities And Decentralization, Mallory Runyan

Cybersecurity Undergraduate Research Showcase

Since the 1980’s and creation of the World Wide Web, Internet utilization is a common and arguably, necessary, part of daily life. The internet is young and still relatively new, but as of 2016, 3.4 billion people were online, and that number has since grown [1]. This is a significant number, but as such a common part of daily life, how elements of the internet or its infrastructure work is complex. The world would very likely be thrown into dark ages if DNS or any other significant aspect of the internet's infrastructure were to succumb to an attack. The Colonial …


Methods For Engineers To Understand, Predict, And Influence The Social Impacts Of Engineered Products, Phillip Douglas Stevenson Dec 2022

Methods For Engineers To Understand, Predict, And Influence The Social Impacts Of Engineered Products, Phillip Douglas Stevenson

Theses and Dissertations

Engineered products can impact the day-to-day life of their users and other stakeholders. These impacts are often referred to as the product's social impacts. Products have been known to impact the people who use them, design them, manufacture them, distribute them, and the communities where they exist. Currently, there are few methods that can help an engineer identify, quantify, predict, or improve a product's social impact. Some companies and organizations have tried to identify their impacts and, for example, set goals for achieving more sustainable business practices. However, engineers, in large part, do not have methods that can help improve …


Resilience Monitoring For Multi-Filter All-Source Navigation Framework With Assurance, Jonathon S. Gipson, Robert C. Leishman Dec 2022

Resilience Monitoring For Multi-Filter All-Source Navigation Framework With Assurance, Jonathon S. Gipson, Robert C. Leishman

Faculty Publications

The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of filters (known as subfilters) to provide a resilient, fault-resistant all-source navigation architecture with assurance. A critical assumption of this architecture, demonstrated in this paper, is fully overlapping state observability across all subfilters. All-source sensors, particularly those that only provide partial state information (altimeters, TDoA, AOB, etc.), do not intrinsically meet this requirement. This paper presents a novel method to monitor real-time overlapping position state observability and introduces an observability bank within the ARMAS framework, known as stable observability monitoring (SOM). SOM …


Commercial Airliner Winglet Design Optimization – A Case Study, Anthony Gutierrez Dec 2022

Commercial Airliner Winglet Design Optimization – A Case Study, Anthony Gutierrez

Symposium of Student Scholars

The objective of this research is to determine the effect on aerodynamic performance due to changes of winglets design variables found of the Boeing 737-700 aircraft. The various winglet types studied in this research include the blended, canted, wingtip fence and split scimitar. The variables include height, sweep angle, taper ratio, and the inclination angle. These variables are altered in 5% increments from -15% to +15% of their original baseline values. Each altered winglet design only changes one variable at a time while keeping all other variables constant. The altered models are compared to the original by finding the aerodynamic …


Actively Guided Cansats For Assisting Localization And Mapping In Unstructured And Unknown Environments, Cary Chun, M. Hassan Tanveer Dec 2022

Actively Guided Cansats For Assisting Localization And Mapping In Unstructured And Unknown Environments, Cary Chun, M. Hassan Tanveer

Symposium of Student Scholars

When navigating in unknown and unstructured environments, Unmanned Arial Vehicles (UAVs) can struggle when attempting to preform Simultaneous Localization and Mapping (SLAM) operations. Particularly challenging circumstance arise when an UAV may need to land or otherwise navigate through treacherous environments. As the primary UAV may be too large and unwieldly to safely investigate in these types of situations, this research effort proposes the use of actively guided CanSats for assisting in localization and mapping of unstructured environments. A complex UAV could carry multiple of these SLAM capable CanSats, and when additional mapping and localization capabilities where required, the CanSat would …


Nanocomposites For Applications In Ultracapacitors Based Energy Storage Systems, Duy Pham, Jake Ivirn, Jacob Dileonardi, Ben Mckinney, Ashish Aphale Dec 2022

Nanocomposites For Applications In Ultracapacitors Based Energy Storage Systems, Duy Pham, Jake Ivirn, Jacob Dileonardi, Ben Mckinney, Ashish Aphale

Symposium of Student Scholars

Electrochemical capacitors also known as ultracapacitor is a potential technology for modern energy storage due to their high performance of charge capacity and fast charge-discharge rates. The superior performance of ultracapacitors will help to meet demands for energy systems in applications such as transportation. Ultracapacitor device consists of electrodes, a polymeric separator, and an electrolyte. Under the applied voltage, the migration of ions between two porous electrodes from the bulk of the electrolyte governs the performance of such devices. In this work, we present experimental research on the synthesis of different electrode materials using atomically thick graphene and conducting polymers. …


Unmanned Aerial System Design For Civil Engineering Operations – A Vip Study, Ezra Robles, Harrison Vicknair, Derek Price, Logan Westra, George Pitcock, Joshua Diamond, Bhuvan Saraswat, Jeremiah Prayor, Fon Saliki Dec 2022

Unmanned Aerial System Design For Civil Engineering Operations – A Vip Study, Ezra Robles, Harrison Vicknair, Derek Price, Logan Westra, George Pitcock, Joshua Diamond, Bhuvan Saraswat, Jeremiah Prayor, Fon Saliki

Symposium of Student Scholars

Unmanned Aerial System Design for Civil Engineering Operations – A Case Study

The objective of the project is to design and build a modular Unmanned Aerial System (UAS) that meets the specifications set forth by United Consulting – a local civil engineering company. These specifications are achieved through three unique missions. In each mission, data is collected using different methods. These missions include land surveying, bridge structure inspection and manhole probing. The key requirements of the drone are to maintain a minimum flight time of 30 minutes and the ability to receive and transmit telemetry, photographic and video data from …


Development Of Electrochemical Sensors For The Detection Of Trace Contaminants, Quang Lam, Ashish Aphale, Duy Pham Dec 2022

Development Of Electrochemical Sensors For The Detection Of Trace Contaminants, Quang Lam, Ashish Aphale, Duy Pham

Symposium of Student Scholars

Several industrial processes, such as stainless steel fabrication and textiles, produce heavy metal byproducts such as chromium. These heavy metals have detrimental effects on the surrounding environments and humans. Recently, electrochemical-driven sensors have been studied and show great potential in miniaturization while still providing measurements at a low cost. In addition, atomically thin allotropes of carbon, graphene, and graphene oxide have shown remarkable results in producing a highly responsive and selective sensor platform. These results are due to their excellent electrical conductivity, high surface area for utility, and physicochemical stability. The existing challenge for electrochemical-driven sensors is understanding the molecular …