Literature DB >> 31336322

Curcumin nanoparticle doped starch thin film as a green colorimetric sensor for detection of boron.

Chanita Boonkanon1, Kharittha Phatthanawiwat1, Worawit Wongniramaikul1, Aree Choodum2.   

Abstract

A tapioca starch film doped with curcumin nanoparticles was successfully fabricated and applied as a novel green colorimetric sensor for detection of boron in wastewater. Curcumin nanoparticles (curn, 30-90 nm) extracted from turmeric powder were used as a green probe, while tapioca starch was used as a natural support substrate. A yellow thin film (51 μm thick) fabricated on a used plastic spoon turned red-brown after immersion in boron solution (pH 9) for 15 min with excellent selectivity. The film costs only 0.0007 USD, while the cost of the sensor (curn-film on new plastic spoon) was 0.004 USD. After use the film could be completely washed from the plastic, it being biodegradable, while the used plastic spoon could be re-used to fabricate a new sensor at least 10 times. The good 1.52%RSD precision was obtained across three lots fabricated. When the curn-film was used in conjunction with digital image colorimetry (DIC), a simple and rapid quantification of boron was achieved. The green color layer in reflected light image of the red-brown product (IG) provided the highest sensitivity (64 ± 1 a.u. L mg-1) and the lowest detection limit of 0.052 ± 0.001 mg L-1. The intra-day testing (9 films) had 2.41 to 4.34%RSD, while the inter-day testing had 2.29 to 5.66%RSD (15 films, 5 days). Accuracy in terms of relative error for control samples (0.40 mg L-1) was +3.63%. Wastewater samples from Para-rubber wood processing plant were quantified by curn-film and DIC, giving 4248 ± 391 mg L-1 boron concentration with no significant difference to ICP determination at 95% confidence level. The sensors after storage in a desiccator for a year gave readings changed by only +3.5% and -2.1% relative to freshly prepared sensors.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Boron; Curcumin nanoparticles; Digital image colorimetry; Green sensor; Tapioca film

Mesh:

Substances:

Year:  2019        PMID: 31336322     DOI: 10.1016/j.saa.2019.117351

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  4 in total

1.  Coloration and Chromatic Sensing Behavior of Electrospun Cellulose Fibers with Curcumin.

Authors:  Minhee Kim; Hoik Lee; Myungwoong Kim; Yoon Cheol Park
Journal:  Nanomaterials (Basel)       Date:  2021-01-16       Impact factor: 5.076

Review 2.  Curcumin Is an Iconic Ligand for Detecting Environmental Pollutants.

Authors:  T Devasena; N Balasubramanian; Natarajan Muninathan; Kuppusamy Baskaran; Shani T John
Journal:  Bioinorg Chem Appl       Date:  2022-03-27       Impact factor: 7.778

3.  3D Paper-based milk adulteration detection device.

Authors:  Subhashis Patari; Priyankan Datta; Pallab Sinha Mahapatra
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

4.  Smart Silk Origami as Eco-sensors for Environmental Pollution.

Authors:  Saphia A L Matthew; Gemma Egan; Kimia Witte; Jirada Kaewchuchuen; Suttinee Phuagkhaopong; John D Totten; F Philipp Seib
Journal:  ACS Appl Bio Mater       Date:  2022-05-16
  4 in total

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