Artificial neural network-facilitated V2C MNs-based colorimetric/fluorescence dual-channel biosensor for highly sensitive detection of AFB1 in peanut

Kong, Yiqian; Li, Zongyi; Liu, Qi; Song, Juncheng; Zhu, Yinghua; Lin, Jinping; Song, Lili; Li, Xiangyang

doi:10.1016/j.talanta.2023.125056

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…The vibrational peaks appearing at 1213 and 1150 cm –1 confirm the presence of C–F and O–H bands, which further approves rich oxygen and fluorine containing functional groups. The FTIR spectrum validates the presence of V–C, O–H, C–F, and CC bands. , …”

Section: Resultsmentioning

confidence: 99%

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2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

Karmakar,

Deepak,

Nanda

et al. 2024

ACS Appl. Electron. Mater.

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While the majority of the reports on toluene gas sensors are on rigid electrodes and based on composite materials, doping with additional noble metals, or a high temperature detection method, this work is the first demonstration of the vanadium carbide (V 2 C) MXene based flexible and roomtemperature (RT) toluene gas sensor. The V 2 C MXene is synthesized by an HF etching route. The field emission scanning electron microscopy (FESEM) and transmission electron microscopy (TEM) images exhibit a typical accordion-like multilayered structure of the V 2 C MXene, where the Fourier-transform infrared spectroscopy (FTIR), Raman, and X-ray photoelectron spectroscopy (XPS) data further ensured its successful growth. The V 2 C (band gap of 3.9 eV) based flexible gas sensor employing a polyester substrate, displays good reproducibility, quick response/recovery time (14 s/34 s), long-term stability, good crossselectivity, and a low detection limit of 47.85 ppb over the linear region of 5−200 ppm toluene at RT (27 ± 1 °C). The effect of relative humidity (RH) toward RT toluene gas sensing has also been investigated here. This sensor shows an excellent response of 775% at 200 ppm toluene, with brilliant selectivity toward toluene over six other hazardous gases. The sensor's plentiful surface functional groups (−F, −OH, −O) and superior electrical characteristics are responsible for its enhanced performance. In light of this, the flexible and RT toluene gas sensor based on the V 2 C MXene can be a smart way to fabricate the next-generation toluene gas sensors.

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Section: Resultsmentioning

confidence: 99%

“…The FTIR spectrum validates the presence of V−C, O−H, C−F, and C�C bands. 39,40 To obtain better insight into the chemical compositions and bonding of the V 2 C MXene, XPS analyses were carried out. Figure 5a 3.3.…”

Section: Resultsmentioning

confidence: 99%

2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

Karmakar,

Deepak,

Nanda

et al. 2024

ACS Appl. Electron. Mater.

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“…Up to now, some dual-mode sensors including SERS/electrochemistry (EC), SERS/CM, CM/FL, CM/EC, ECL/FL, and CL/FL have been fabricated, among which, the CL/FL or ECL/FL dual-mode assay technology, both using optical signals for readout, stands out due to their simple operation and high sensitivity. Both ECL and CL biosensors demonstrated a high signal-to-noise ratio and rapid response.…”

Section: Introductionmentioning

confidence: 99%

Bifunctional MOF-Encapsulated Cobalt-Doped Carbon Dots Nanozyme-Powered Chemiluminescence/Fluorescence Dual-Mode Detection of Aflatoxin B1

Yi,

Xiao,

Kang

et al. 2024

ACS Appl. Mater. Interfaces

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A novel bifunctional MOF-encapsulated cobalt-doped carbon dots nanozyme (Co-CD/PMOF) with excellent peroxidasemimic catalytic activity and fluorescence property was synthesized and employed to fabricate a chemiluminescence/fluorescence (CL/FL) dualmode immunosensor for AFB1 detection. Co-CD/PMOF could catalyze the luminol/H 2 O 2 system to generate robust and long-lasting CL signals due to the slow diffusion effect and continuous generation of •OH, O 2•− , and 1 O 2 species. Differing from traditional flash-type CL emissions, this glow-type CL emission is helpful to fabricate a sensitive and accurate CL sensing platform. Then the CL/FL dual-mode detection of AFB1 was developed using antibody-functionalized Co-CD/PMOF as the signalamplifying nanoprobe. The CL mode assay based on indirect competitive immune principle was carried out on a chemiluminescence optical fiber platform, where the AFB1-OVA-functionalized optical fiber probe was employed for biorecognition, separation, and signal conducting. The AFB1 detection range and LOD were 0.63−69.36 ng/mL and 0.217 ng/mL, respectively. Using AFB1 antibodyfunctionalized immunomagnetic beads for capturing and separation, the FL mode detection of AFB1 was established based on the sandwich immune principle. A linear range of 0.54−51.91 ng/mL and a LOD of 0.027 ng/mL were obtained. This work designed a sensitive, rapid, and reliable nanozyme-powered dual-mode assay strategy and provided technical support in the field of environmental monitoring and food safety.

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“…Machine learning (ML) is becoming a critical tool in various fields of nanomaterials research, such as nanoindentation [ 317 , 318 , 319 , 320 , 321 , 322 , 323 , 324 , 325 , 326 , 327 , 328 ], nanorobotics [ 329 , 330 , 331 , 332 , 333 , 334 ], and nanosensor [ 335 , 336 , 337 , 338 , 339 , 340 ] development. Its ability to analyze and interpret complex patterns from large datasets is particularly beneficial in advancing areas like nanostructured materials analysis, nanoscale manufacturing processes, and the development of nanotechnology applications in medicine and environmental monitoring [ 327 , 341 , 342 , 343 , 344 , 345 , 346 , 347 , 348 , 349 , 350 , 351 , 352 , 353 , 354 , 355 , 356 , 357 , 358 , 359 , 360 , 361 , 362 , 363 , 364 , …”

Section: Introductionmentioning

confidence: 99%

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Gomes Souza,

Bhansali,

Pal

et al. 2024

Materials

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From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, this novel approach systematically investigates the evolution of nanocomposites, focusing on microstructural characterization, electrical properties, and mechanical behaviors. By deploying advanced Boolean search strategies within the Scopus database, we achieve a meticulous extraction and in-depth exploration of thematic content, a methodological advancement in the field. Our analysis uniquely identifies critical trends and insights concerning nanocomposite microstructure, electrical attributes, and mechanical performance. The paper goes beyond traditional textual analytics and bibliometric evaluation, offering new interpretations of data and highlighting significant collaborative efforts and influential studies within the nanocomposite domain. Our findings uncover the evolution of research language, thematic shifts, and global contributions, providing a distinct and comprehensive view of the dynamic evolution of nanocomposite research. A critical component of this study is the “State-of-the-Art and Gaps Extracted from Results and Discussions” section, which delves into the latest advancements in nanocomposite research. This section details various nanocomposite types and their properties and introduces novel interpretations of their applications, especially in nanocomposite films. By tracing historical progress and identifying emerging trends, this analysis emphasizes the significance of collaboration and influential studies in molding the field. Moreover, the “Literature Review Guided by Artificial Intelligence” section showcases an innovative AI-guided approach to nanocomposite research, a first in this domain. Focusing on articles from 2023, selected based on citation frequency, this method offers a new perspective on the interplay between nanocomposites and their electrical properties. It highlights the composition, structure, and functionality of various systems, integrating recent findings for a comprehensive overview of current knowledge. The sentiment analysis, with an average score of 0.638771, reflects a positive trend in academic discourse and an increasing recognition of the potential of nanocomposites. Our bibliometric analysis, another methodological novelty, maps the intellectual domain, emphasizing pivotal research themes and the influence of crosslinking time on nanocomposite attributes. While acknowledging its limitations, this study exemplifies the indispensable role of our innovative computational tools in synthesizing and understanding the extensive body of nanocomposite literature. This work not only elucidates prevailing trends but also contributes a unique perspective and novel insights, enhancing our understanding of the nanocomposite research field.

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Artificial neural network-facilitated V2C MNs-based colorimetric/fluorescence dual-channel biosensor for highly sensitive detection of AFB1 in peanut

Cited by 12 publications

References 37 publications

2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

Bifunctional MOF-Encapsulated Cobalt-Doped Carbon Dots Nanozyme-Powered Chemiluminescence/Fluorescence Dual-Mode Detection of Aflatoxin B1

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

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Artificial neural network-facilitated V2C MNs-based colorimetric/fluorescence dual-channel biosensor for highly sensitive detection of AFB1 in peanut

Cited by 12 publications

References 37 publications

2D V2C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

2D V2C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

Bifunctional MOF-Encapsulated Cobalt-Doped Carbon Dots Nanozyme-Powered Chemiluminescence/Fluorescence Dual-Mode Detection of Aflatoxin B1

A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Contact Info

Product

Resources

About

2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature

2D V₂C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature