Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms

Aliquoting of biological samples refers to the process of dividing a larger biological sample into smaller, representative portions known as aliquots. This procedure is commonly employed in laboratories, especially in fields like molecular biology, genetics, and clinical research. Currently, manual...

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Main Authors: Larisa Rybak, Giuseppe Carbone, Dmitry Malyshev, Artem Voloshkin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/12/3/172
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author Larisa Rybak
Giuseppe Carbone
Dmitry Malyshev
Artem Voloshkin
author_facet Larisa Rybak
Giuseppe Carbone
Dmitry Malyshev
Artem Voloshkin
author_sort Larisa Rybak
collection DOAJ
description Aliquoting of biological samples refers to the process of dividing a larger biological sample into smaller, representative portions known as aliquots. This procedure is commonly employed in laboratories, especially in fields like molecular biology, genetics, and clinical research. Currently, manual dosing devices are commonplace in laboratories, but they demand a significant amount of time for their manual operation. The automated dosing devices available are integrated into narrowly focused aliquoting systems and lack versatility as manipulator equipment. Addressing this limitation, a novel technical solution is proposed in this paper for a modular dosing device compatible with robotic manipulators. The paper introduces and details a mathematical model, optimizes its parameters, and constructs a detailed 3D model using the NX environment to demonstrate the engineering feasibility of our concept. It further outlines the development of a three-dimensional dynamic simulation model for the dosing device, comparing analytical calculations with simulation results. The construction of a dosing device prototype is discussed, followed by a comprehensive experimental validation.
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spelling doaj.art-8d0bdbb19471400dbd6b15e7e616fcfa2024-03-27T13:51:49ZengMDPI AGMachines2075-17022024-03-0112317210.3390/machines12030172Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic AlgorithmsLarisa Rybak0Giuseppe Carbone1Dmitry Malyshev2Artem Voloshkin3Research Institute Robotics and Control Systems, Belgorod State Technological University n.a. V.G. Shukhov, Kostyukova st., 46, 308012 Belgorod, RussiaResearch Institute Robotics and Control Systems, Belgorod State Technological University n.a. V.G. Shukhov, Kostyukova st., 46, 308012 Belgorod, RussiaResearch Institute Robotics and Control Systems, Belgorod State Technological University n.a. V.G. Shukhov, Kostyukova st., 46, 308012 Belgorod, RussiaResearch Institute Robotics and Control Systems, Belgorod State Technological University n.a. V.G. Shukhov, Kostyukova st., 46, 308012 Belgorod, RussiaAliquoting of biological samples refers to the process of dividing a larger biological sample into smaller, representative portions known as aliquots. This procedure is commonly employed in laboratories, especially in fields like molecular biology, genetics, and clinical research. Currently, manual dosing devices are commonplace in laboratories, but they demand a significant amount of time for their manual operation. The automated dosing devices available are integrated into narrowly focused aliquoting systems and lack versatility as manipulator equipment. Addressing this limitation, a novel technical solution is proposed in this paper for a modular dosing device compatible with robotic manipulators. The paper introduces and details a mathematical model, optimizes its parameters, and constructs a detailed 3D model using the NX environment to demonstrate the engineering feasibility of our concept. It further outlines the development of a three-dimensional dynamic simulation model for the dosing device, comparing analytical calculations with simulation results. The construction of a dosing device prototype is discussed, followed by a comprehensive experimental validation.https://www.mdpi.com/2075-1702/12/3/172dosing devicemanipulator equipmentmulti-objective optimization3D modelingdigital twin
spellingShingle Larisa Rybak
Giuseppe Carbone
Dmitry Malyshev
Artem Voloshkin
Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
Machines
dosing device
manipulator equipment
multi-objective optimization
3D modeling
digital twin
title Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
title_full Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
title_fullStr Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
title_full_unstemmed Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
title_short Design and Optimization of a Robot Dosing Device for Aliquoting of Biological Samples Based on Genetic Algorithms
title_sort design and optimization of a robot dosing device for aliquoting of biological samples based on genetic algorithms
topic dosing device
manipulator equipment
multi-objective optimization
3D modeling
digital twin
url https://www.mdpi.com/2075-1702/12/3/172
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AT dmitrymalyshev designandoptimizationofarobotdosingdeviceforaliquotingofbiologicalsamplesbasedongeneticalgorithms
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