To achieve ultrasensitive electrochemical detection of mercury ions employing metallic 1T-MoS2 nanosheets

Dai, Jiayong; Yao, Le; Gao, Xingsu; Bai, Shumeng; Chen, Xian; Li, Lei; Song, Jibin; Yang, Huang‐Hao

doi:10.1016/j.electacta.2020.136800

Cited by 17 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, it also possesses higher catalytic activity because both the edges and basal plane are catalytically active [ 124 ]. For this reason, modification of electrochemical sensor with 1T-MoS 2 has demonstrated excellent sensing performance, surpassing that of electrochemical sensor modified with 2H-MoS 2 [ 125 ]. Despite its advantages for electrochemical applications, 1T-MoS 2 is a metastable material, and its mechanisms for stable performance are yet to be clarified [ 126 ].…”

Section: Transition Metal Dichalcogenides (Tmdcs)mentioning

confidence: 99%

Two-Dimensional Non-Carbon Materials-Based Electrochemical Printed Sensors: An Updated Review

Falina

Anuar

Shafiee

et al. 2022

Sensors

View full text Add to dashboard Cite

Recently, there has been increasing interest in electrochemical printed sensors for a wide range of applications such as biomedical, pharmaceutical, food safety, and environmental fields. A major challenge is to obtain selective, sensitive, and reliable sensing platforms that can meet the stringent performance requirements of these application areas. Two-dimensional (2D) nanomaterials advances have accelerated the performance of electrochemical sensors towards more practical approaches. This review discusses the recent development of electrochemical printed sensors, with emphasis on the integration of non-carbon 2D materials as sensing platforms. A brief introduction to printed electrochemical sensors and electrochemical technique analysis are presented in the first section of this review. Subsequently, sensor surface functionalization and modification techniques including drop-casting, electrodeposition, and printing of functional ink are discussed. In the next section, we review recent insights into novel fabrication methodologies, electrochemical techniques, and sensors’ performances of the most used transition metal dichalcogenides materials (such as MoS2, MoSe2, and WS2), MXenes, and hexagonal boron-nitride (hBN). Finally, the challenges that are faced by electrochemical printed sensors are highlighted in the conclusion. This review is not only useful to provide insights for researchers that are currently working in the related area, but also instructive to the ones new to this field.

show abstract

Section: Transition Metal Dichalcogenides (Tmdcs)mentioning

confidence: 99%

Two-Dimensional Non-Carbon Materials-Based Electrochemical Printed Sensors: An Updated Review

Falina

Anuar

Shafiee

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The LOD value of 1.54 × 10 −19 m was calculated for 1T‐MoS 2 ‐modified GCE while the value of 1.46 × 10 −13 m was reported for 2H‐MoS 2 ‐modified GCE showing six order difference in the magnitude. [ 29 ]…”

Section: Electrochemical Pollutant Sensors Based On Functional Electrmentioning

confidence: 99%

Advanced Functional Electroactive and Photoactive Materials for Monitoring the Environmental Pollutants

Yan

Kannan

Doonyapisut

et al. 2020

Adv Funct Materials

View full text Add to dashboard Cite

Functional materials with attractive electronic and photoelectronic properties show great promise in various fields. In recent decades, tremendous research efforts have been devoted to the design of photoactive and electroactive materials for qualitative and quantitative analysis of environmental pollutants. This review gives a concise overview on the fundamentals and recent research progress of functional material‐based electrochemical and photoelectrochemical technology for environmental pollutant monitoring. The rational design of functional photoactive and electroactive materials with promoted electrochemical properties and basic signaling strategies for electrochemical and photoelectrochemical sensors are presented. Based on these insights, very recent achievements for electrochemical and photoelectrochemical environmental pollutant sensors are summarized from the viewpoint of various functional materials. At last, critical challenges and future research perspectives in this field are proposed and discussed to provide a backdrop for future research.

show abstract

“…Another type of nanoparticle that can be used for sensing is 2D materials such as graphene and molybdenum disulfide. Until now, few studies have reported the electrochemical detection of heavy metals such as cadmium (II) [16] and mercury [17] with MoS2-2D functionalized with N atoms and with the T-MoS2 phase, respectively. Molybdenum disulfide as bulk material is an indirect semiconductor with a bandgap of 1.2 eV while as a monolayer, it turns into a direct semiconductor with a bandgap of 1.8 eV with more active sites formed due to higher surface area, formation of channels for ion adsorption, and intercalation that could be useful for electrochemical sensing [18].…”

Section: Introductionmentioning

confidence: 99%

Classification of As, Pb and Cd Heavy Metal Ions Using Square Wave Voltammetry, Dimensionality Reduction and Machine Learning

Leon-Medina

Burgos

et al. 2022

IEEE Access

View full text Add to dashboard Cite

The detection and classification of heavy metals is a growing need to guarantee the quality of process water in different industries. However, the official methodologies to evaluate the presence of these contaminants require samples pre-processing, making them time-consuming and expensive; these elements do not allow online monitoring. For this reason, new technologies are required for online monitoring and evaluation. In this work, a new methodology is presented for the detection and classification of different heavy metal ions such as: As, Pb and Cd. Commercial graphite sensors modified with 2D molybdenite were used applying an electroanalytical technique of square wave voltammetry. Subsequently, signal processing based on pattern recognition and machine learning methods was carried out. This classification methodology includes the following steps: data display and arrangement, dimensionality reduction through the t-distributed stochastic neighbor embedding (t-SNE) method, which serves as feature extraction, and the support vector machines (SVM) method as a classifier. The validation is carried out with a data set of 118 aqueous samples. Leave one out cross-validation (LOOCV) was used to obtain classification accuracy. The results showed a classification accuracy of 98.31% with only two errors of the experimental validation with this data set. It is concluded that this methodology is a useful tool for detecting the presence of these ions in aqueous samples with MoS2-2D.

show abstract

To achieve ultrasensitive electrochemical detection of mercury ions employing metallic 1T-MoS2 nanosheets

Cited by 17 publications

References 38 publications

Two-Dimensional Non-Carbon Materials-Based Electrochemical Printed Sensors: An Updated Review

Two-Dimensional Non-Carbon Materials-Based Electrochemical Printed Sensors: An Updated Review

Advanced Functional Electroactive and Photoactive Materials for Monitoring the Environmental Pollutants

Classification of As, Pb and Cd Heavy Metal Ions Using Square Wave Voltammetry, Dimensionality Reduction and Machine Learning

Contact Info

Product

Resources

About