A Portable Electrochemical Sensor Based on Manganese Porphyrin-Functionalized Carbon Cloth for Highly Sensitive Detection of Nitroaromatics and Gaseous Phenol.
Andrews BoakyeKun YuBenjamin K AsinyoHuining ChaiTahir RazaTailin XuGuangyao ZhangLijun QuPublished in: Langmuir : the ACS journal of surfaces and colloids (2022)
Organic pollutants (OPs) have garnered a considerable amount of attention in recent times due to their extreme toxicity toward humans and the ecosystem. The need for an inexpensive yet robust, sensitive, selective, and easy-to-operate method for detecting OPs remains a challenge. Herein, a portable electrochemical sensor is proposed based on manganese porphyrin-functionalized carbon cloth (CC). To explain the electrochemical performance of the sensor, cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were employed. The presence of manganese(III) ion in the center of the porphyrin ligand acted as an agent for the transfer of electrons and enhanced sensitivity toward analyte-specific redox catalysis. Moreover, it allowed for the concurrent detection of multiple analytes in a complex environment. The modified CC electrode can selectively detect nitroaromatic and phenolic compounds with accessible data collected through wireless means onto a smartphone device. The as-synthesized electrode demonstrated a higher sensitivity toward the detection of nitrobenzene (NB) and aqueous phenol with a limit of detection (LOD) found to be 5.9268 × 10 -10 M and 4.0178 × 10 -10 M, respectively. Additionally, our proposed portable electrochemical sensor demonstrates a high selectivity and reproducibility toward nitroaromatic and phenolic compounds, which can be employed in real complex water samples. With regard to the sensor's remarkable electrochemical performance, it is envisaged that such a sensor could pave the way for environmental point of care (POC) testing.
Keyphrases
- label free
- molecularly imprinted
- electron transfer
- gold nanoparticles
- loop mediated isothermal amplification
- ionic liquid
- sensitive detection
- quantum dots
- photodynamic therapy
- low cost
- oxide nanoparticles
- oxidative stress
- metal organic framework
- real time pcr
- machine learning
- squamous cell carcinoma
- blood pressure
- big data
- mass spectrometry
- energy transfer
- artificial intelligence
- risk assessment
- life cycle