2016
DOI: 10.2116/analsci.32.491
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Hexamethyldisilazane Modified Paper as an Ultra-sensitive Platform for Visual Detection of Hg2+, Co2+, Zn2+ and the Application to Semi-quantitative Determination of Hg2+ in Wastewater

Abstract: The present article reports the application of hexamethylsilazane (HMDS) modified filter paper for ultrasensitive detection of Hg 2+ , Co 2+ and Zn 2+ . By chemical vapor deposition of HMDS, a highly hydrophilic filter paper was fabricated to a low wetting (hydrophobic) substrate. The water contact angle (θ) of modified paper was ~128 , whereas scanning electron and atomic force microscopy confirmed the surface modification. Using chromogenic reagents, a one-step assay for aforementioned ions was demonstrated … Show more

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Cited by 29 publications
(12 citation statements)
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“…This may further assist in enhancing the color density of the metal-ligand complex, thus improving the assay sensitivity. 14 …”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…This may further assist in enhancing the color density of the metal-ligand complex, thus improving the assay sensitivity. 14 …”
Section: Resultsmentioning
confidence: 99%
“…The spot intensity was quantified by flatbed scanning and scoring the pixel gray volume (PGV) as explained before. 13,14 Robustness (pH, temperature and volume of analyte). The influence of the pH on the performance of the Fe 2+ assay was investigated by preparing a Fe 2+ (10 μg mL -1 ) solution in a Britton-Robinson (B-R) buffer ranging from pH 2.0 -9.0.…”
Section: Recommended Experimental Proceduresmentioning
confidence: 99%
See 2 more Smart Citations
“…[12][13][14][15][16] To date, μPADs have been used as elegant analytical tools for a variety of applications, including medical diagnosis, [17][18][19][20][21] food testing, 22 and environmental monitoring. [23][24][25][26][27][28][29] A lot of detection methods have been used for μPADs. The most common detection method for μPADs is colorimetry because analysis is relatively simple.…”
Section: Crmentioning
confidence: 99%