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Article Abstract
Heavy metals are life-threatening pollutions because of their great toxicity, long-term persistence in nature and their bioaccumulation in living organisms. In this work, we performed multivariate curve resolution-alternating least squares analysis of UV-Vis raw spectra received by a colorimetric sensor constructed on mercaptoundecanoic acid functionalized silver nanoparticles (AgNPs@11MUA) to detect Cd, Cu, Mn, Ni, and Zn in water. This combined approach allowed the rapid identification and quantification of multiple heavy metals and showed adequate sensitivity and selectivity, thus representing a promising analytical and computational method for both laboratory and field applications such as environmental safety and public health monitoring.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11723296 | PMC |
| http://dx.doi.org/10.3390/nano15010057 | DOI Listing |
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