Density Functional Theory Studies of MXene-Based Nanosensors for Detecting Volatile Organic Compounds in Meat Spoilage Assessment
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Density Functional Theory Studies of MXene-Based Nanosensors for Detecting Volatile Organic Compounds in Meat Spoilage Assessment. / Vovusha, Hakkim; Bae, Hyeonhu; Lee, Seunghan; Park, Jusang; Raza, Ali; Kotmool, Komsilp; Hussain, Tanveer; Lee, Hoonkyung.
I: ACS Applied Nano Materials, Bind 6, Nr. 19, 2023, s. 18592–18601.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Density Functional Theory Studies of MXene-Based Nanosensors for Detecting Volatile Organic Compounds in Meat Spoilage Assessment
AU - Vovusha, Hakkim
AU - Bae, Hyeonhu
AU - Lee, Seunghan
AU - Park, Jusang
AU - Raza, Ali
AU - Kotmool, Komsilp
AU - Hussain, Tanveer
AU - Lee, Hoonkyung
N1 - Funding Information: This project was supported by Konkuk University in 2022. T.H. acknowledges the support by the NCI Adapter Scheme, with computational resources provided by NCI Australia, an NCRIS-enabled capability supported by the Australian Government. K.K. and T.H. acknowledge the NSRF of Thailand under the Fundamental Fund (Grant No. RE-KRIS/FF66/17). ThaiSC partially supported with computing facility. This work was supported by the National Supercomputing Center with supercomputing resources including technical support (KSC-2022-CRE-0225). Publisher Copyright: © 2023 American Chemical Society.
PY - 2023
Y1 - 2023
N2 - Emission of selected volatile organic compounds (VOCs), such as methylamine (MA), dimethylamine (DMA), and trimethylamine (TMA), is associated with certain microbial reactions, causing intrinsic decomposition and spoilage of meat and fish. Efficient detection of MA, DMA, and TMA is vital for meat and fish spoilage assessment. Here, density functional theory (DFT) calculations are used to study the sensing properties of selected MXene monolayers (M2CTx; M = Ti, Nb, V; Tx = O, OH, F) toward MA, DMA, and TMA. We found that the binding energies of MA (−0.29 to −1.08 eV), DMA (−0.39 to −1.15 eV), and TMA (−0.28 to −1.19 eV) on M2CTx are ideal for reversible sensing. Appropriate binding of these VOCs is associated with measurable changes in the electronic properties of M2CTx, which is essential for a highly efficient sensing mechanism. Further, we used the Langmuir adsorption model to explore the sensing characteristics of M2CTx monolayers in varied temperature and pressure environments. Among the studied systems, Nb2C(OH)2 exhibits excellent sensing capabilities toward DMA and TMA at concentrations below parts per million (ppm), whereas Nb2CF2 exhibits selective adsorption of MA at concentrations below ppm. We strongly believe that our findings will pave the way for the development of highly sensitive nanosensors for monitoring the spoilage of meat and fish products.
AB - Emission of selected volatile organic compounds (VOCs), such as methylamine (MA), dimethylamine (DMA), and trimethylamine (TMA), is associated with certain microbial reactions, causing intrinsic decomposition and spoilage of meat and fish. Efficient detection of MA, DMA, and TMA is vital for meat and fish spoilage assessment. Here, density functional theory (DFT) calculations are used to study the sensing properties of selected MXene monolayers (M2CTx; M = Ti, Nb, V; Tx = O, OH, F) toward MA, DMA, and TMA. We found that the binding energies of MA (−0.29 to −1.08 eV), DMA (−0.39 to −1.15 eV), and TMA (−0.28 to −1.19 eV) on M2CTx are ideal for reversible sensing. Appropriate binding of these VOCs is associated with measurable changes in the electronic properties of M2CTx, which is essential for a highly efficient sensing mechanism. Further, we used the Langmuir adsorption model to explore the sensing characteristics of M2CTx monolayers in varied temperature and pressure environments. Among the studied systems, Nb2C(OH)2 exhibits excellent sensing capabilities toward DMA and TMA at concentrations below parts per million (ppm), whereas Nb2CF2 exhibits selective adsorption of MA at concentrations below ppm. We strongly believe that our findings will pave the way for the development of highly sensitive nanosensors for monitoring the spoilage of meat and fish products.
KW - adsorption
KW - electronic structure
KW - MXenes
KW - reversible sensing
KW - volatile organic compounds
U2 - 10.1021/acsanm.3c03846
DO - 10.1021/acsanm.3c03846
M3 - Journal article
AN - SCOPUS:85174971866
VL - 6
SP - 18592
EP - 18601
JO - ACS Applied Nano Materials
JF - ACS Applied Nano Materials
SN - 2574-0970
IS - 19
ER -
ID: 373033748