SERS-based nanostrategy for rapid anemia diagnosis

Pir Muhammad, Sumaira Hanif, Jiliang Yan, Fawad Ur Rehman, Jiefei Wang, Maqbool Khan, Roger Chung, Albert Lee, Meng Zheng*, Yuling Wang, Bingyang Shi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Iron detection is one of the critical markers to diagnose multiple blood-related disorders that correspond to various biological dysfunctions. The currently available anemia detection approach can be used only for pre-treated blood samples that interfere with the actual iron level in blood. Real-time detection approaches with higher sensitivity and specificity are certainly needed to cope with the commercial level clinical analyses. Herein, we presented a novel strategy to determine the blood iron that can be easily practiced at commercial levels. The blend of well-known iron-cyanide chemistry with nanotechnology is advantageous with ultrahigh sensitivity in whole blood analysis without any pre-treatments. This approach is a combined detection system of the conventional assay (UV-visible spectroscopy) with surface-enhanced Raman scattering (SERS). Organic cyanide modified silver nanoparticles (cAgNPs) can selectively respond to Fe3+ ions and Hb protein with a detection limit of 10 fM and 0.46 µg/mL-1, respectively, without being affected by matrix interfering species in the complex biological fluid. We confirmed the clinical potential of our new cAgNPs by assessing iron-status in multiple anemia patients and normal controls. Our SERS-based iron quantitation approach is highly affordable for bulk-samples, cheap, quick, flexible, and useful for real-time clinical assays. Such a method for metal-chelation has extendable features of therapeutics molecular tracking within more complex living systems at cellular levels.
Original languageEnglish
Pages (from-to)1948-1957
Number of pages10
Issue number3
Publication statusPublished - 21 Jan 2020

Bibliographical note

A correction exists for this article and can be found in Nanoscale 2021(37) p.15981 at doi: 10.1039/D1NR90196F


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