2022
DOI: 10.25046/aj070316
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Automated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

Abstract: Dust is ubiquitous in our daily environment-outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and clothing as well as the human itself distributing skin cells, lost hairs and food residues. External sources are finest sand, pollen, exhaust particles and microorganisms … Show more

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Cited by 2 publications
(1 citation statement)
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“…Robotic arms, with over six decades of application in the manufacturing sector for product transfer tasks 6 , have recently been applied in biotechnology. Robotic arms have been used for largerscale systems, wherein fully automated pipetting machines and other large equipment have been integrated [7][8][9][10] and broader application 11,12 . The advent of low-cost robotic arms by startups, priced significantly lower than traditional industrial robots 13,14 , along with educational robotic arms available for approximately 1000 USD 15,16 , has spurred their adoption in biological experiments.…”
Section: Introductionmentioning
confidence: 99%
“…Robotic arms, with over six decades of application in the manufacturing sector for product transfer tasks 6 , have recently been applied in biotechnology. Robotic arms have been used for largerscale systems, wherein fully automated pipetting machines and other large equipment have been integrated [7][8][9][10] and broader application 11,12 . The advent of low-cost robotic arms by startups, priced significantly lower than traditional industrial robots 13,14 , along with educational robotic arms available for approximately 1000 USD 15,16 , has spurred their adoption in biological experiments.…”
Section: Introductionmentioning
confidence: 99%