Simple Colorimetric Chemosensor Array for Oxyanions: Quantitative Assay for Herbicide Glyphosate.
Vahid HamedpourYui SasakiZhoujie ZhangRiku KubotaTsuyoshi MinamiPublished in: Analytical chemistry (2019)
Although the determination of oxyanions due to correlation with metabolic processes and diseases is in high demand, most of the developed methods are suffering from a shortage of a capability of on-site analysis, sensitivity, and user-friendliness. This paper introduces the first colorimetric chemosensor array targeting various anions including glyphosate. The proposed sensor benefits from some notable features such as utilizing only commercially available reagents, recognizing similarly structured compounds by biomaterial-free sensors, and providing a fingerprint-like response originating from pattern recognition. The detection mechanism is based on an anion sensing strategy named coordination binding-based sensor array (CBSA). In CBSA, competitive coordinative bonding of a metal ion (Zn2+) between a catechol dye (i.e., indicator) and target anions occurs, and changes in the optical properties of the dye represent the target's concentration. For data processing, two chemometrical techniques including linear discrimination analysis (LDA) and an artificial neural network (ANN) for pattern classification and regression/prediction purposes were successfully employed, respectively. Finally, the proposed chemosensor was subjected to glyphosate samples (commercial herbicide and tap water samples) and produced satisfactory results.
Keyphrases
- neural network
- aqueous solution
- high throughput
- high resolution
- ionic liquid
- gold nanoparticles
- machine learning
- hydrogen peroxide
- sensitive detection
- fluorescent probe
- deep learning
- living cells
- heavy metals
- drug delivery
- cancer therapy
- mass spectrometry
- artificial intelligence
- nitric oxide
- binding protein
- molecularly imprinted
- tissue engineering