This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionali...This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionalized graphene(MDFG)nanoelectrode without the need to condense the original vapor or target dilution.To the best of our knowledge,our artificial intelligence(Al)-operated arrayed electrodes were capable of identifying the compositions of mixed chemical gases with a mixed ratio in the early stage.This innovative technology comprised an optimized combination of nanodeposited arrayed electrodes and artificial intelligence techniques with advanced sensing capabilities that could operate within biological limits,resulting in the verification of mixed vapor chemical components.Highly selective sensors that are tolerant to high humidity levels provide a target for"breath chemovapor fingerprinting"for the early diagnosis of diseases.The feature selection analysis achieved recognition rates of 99%and above under low-humidity conditions and 98%and above under humid conditions for mixed chemical compositions.The 1D convolutional neural network analysis performed better,discriminating the compositional state of chemical vapor under low-and high-humidity conditions almost perfectly.This study provides a basis for the use of a multiplexed DNA-functionalized graphene gas sensor array and artificial intelligence-based discrimination of chemical vapor compositions in breath analysis applications.展开更多
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Nano-Material Technology Development Program(NRF 2017M3A7B4041987)the Korea government(MIST)(NRF-2019R1A2C2090443)+2 种基金the Technology Innovation Program(20013621,Center for Super Critical Material Industrial Technology)funded by the Ministry of Trade,Industry&Energy(MOTIE,Korea)the Korea Environment Industry&Technology Institute(KEITI)through the Technology Development Project for Biological Hazards Management in Indoor Air Program(or Project)funded by the Korea Ministry of Environment(MOE)(ARQ202101038001).
文摘This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionalized graphene(MDFG)nanoelectrode without the need to condense the original vapor or target dilution.To the best of our knowledge,our artificial intelligence(Al)-operated arrayed electrodes were capable of identifying the compositions of mixed chemical gases with a mixed ratio in the early stage.This innovative technology comprised an optimized combination of nanodeposited arrayed electrodes and artificial intelligence techniques with advanced sensing capabilities that could operate within biological limits,resulting in the verification of mixed vapor chemical components.Highly selective sensors that are tolerant to high humidity levels provide a target for"breath chemovapor fingerprinting"for the early diagnosis of diseases.The feature selection analysis achieved recognition rates of 99%and above under low-humidity conditions and 98%and above under humid conditions for mixed chemical compositions.The 1D convolutional neural network analysis performed better,discriminating the compositional state of chemical vapor under low-and high-humidity conditions almost perfectly.This study provides a basis for the use of a multiplexed DNA-functionalized graphene gas sensor array and artificial intelligence-based discrimination of chemical vapor compositions in breath analysis applications.
