Effectively Reinforced α-Bi 2 O 3 MPs/PDA-RGO Sensor for Selective Modality Sensing of a Hazardous Phenolic Compound.
Subash Vetri SelviKrishnapandi AlagumalaiRetno DamastutiAdhimoorthi PrasannanShu-Ting LiangPo-Da HongSeong-Cheol KimPublished in: Journal of agricultural and food chemistry (2023)
The phenolic compound trichlorophenol (TCP) is an ingredient in fungicides and herbicides. This compound's high stability, bioaccumulation, toxicity, and poor biodegradability result in severe environmental and biological health issues. Consequently, it is crucial to have an affordable and sensitive method for detecting TCP in environmental samples. In this study, α-phase bismuth oxide microplates and polydopamine-functionalized reduced graphene oxide (α-Bi 2 O 3 MPs/PDA-RGO) were synthesized using a simple ultrasonic method and characterized with various analytical and physical characterizations. The conversion of the catechol moieties present in the resulting PDA-RGO material into quinones facilitates productive interactions with diverse functional groups, such as hydroxyl, amine, and imine. Consequently, the compounds 2,4,6-trichlorophenol (TCP) engages in electrochemical interactions with the aforementioned functional groups. As a result, TCP shows more excellent selectivity on the designed α-Bi 2 O 3 MPs/PDA-RGO/SPCE sensor. Under the optimized conditions, the sensor demonstrated a lower detection limit (0.0042 μM), a limit of quantification (0.0078 μM), good sensitivity (2.24 μA μM -1 cm 2 ), a wide linear range (0.019-190.7 and 212.7-1649 μM), and pinpoint specificity. The efficacy of the sensor is additionally validated through the accurate identification of TCP residues in water, soil, and food samples.
Keyphrases
- reduced graphene oxide
- gold nanoparticles
- human health
- mental health
- healthcare
- risk assessment
- public health
- oxidative stress
- physical activity
- heavy metals
- molecularly imprinted
- oxide nanoparticles
- high resolution
- quantum dots
- label free
- social media
- health information
- liquid chromatography
- bioinformatics analysis
- health risk