Glycine mediated colorimetric method along with image analyses algorithms for detection of Cu (II) in water

• Published in: Materials science & engineering. B, Solid-state materials for advanced technology Vol. 286; p. 116027
• Main Authors: Bhagat, B., Jadeja, V., Sharma, P., Bandyopadhyay, R., Mukherjee, K.
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.12.2022; Elsevier BV
• Subjects: Algorithms; Charge transfer; Color; Colorimetry; Copper; Electromagnetic absorption; Glycine; Image analysis; Luminous intensity; UV–vis spectroscopy; Water sampling; UV–vis spectroscopy; Image analysis; Colorimetry; Copper
• ISSN: 0921-5107; 1873-4944
• DOI: 10.1016/j.mseb.2022.116027

•Cu (II) in water is detected using glycine assisted colorimetric method.•Detection of 0.1–5 mM Cu (II) is studied visually and spectroscopic method.•The formation constant for Cu (II)-glycine LMCT complex is estimated.•Image analysis algorithms are used for discrimination of sample’s colors. In the present work, glycine mediated simple colorimetric method has been reported for the detection of Cu (II) in water. The addition of glycine in a colorless Cu (II) contaminated water sample imparts bluish color due to the formation of ligand to metal charge transfer (LMCT) complex. The Cu (II) concentrations (0.1–5 mM) dependent color intensity has been verified through visual detection and UV–vis light absorption characteristics. The data obtained from UV–vis spectroscopy is employed further to estimate the formation constant of Cu (II)-glycine complex. RGB profile based image analysis algorithms are used to discriminate the color of Cu (II)/glycine solutions. The images corresponding to 1–4 mM Cu (II) solutions show systematic linear variations in RGB profiles after addition of glycine. Present study provides an insight towards exploring the possibilities of simple image analysis for quantitative estimation of Cu (II) solutions along with visual detection and spectroscopic based colorimetric technique.