journal article·2020

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

Nanoscale· Volume 12· Issue 3
Publisher page

Abstract

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.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Iron Metabolism and Disorders · Biosensors and Analytical Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Henan-Macquarie University Joint Centre for Biomedical Innovation

School of Life Sciences Henan University Kaifeng

Henan 475004

China

Department of Clinical Laboratory

State Key Laboratory for Novel Software Technology

Nanjing University

Nanjing 210023

Centre for Motor Neuron Disease Research

Department of Biomedical Sciences

Faculty of Medicine & Health Sciences

Macquarie University

Sydney, NSW

Department of Molecular Sciences

Faculty of Science and Engineering

Sydney 2109 Australia

Funding

National Natural Science Foundation of China · Judith Jane Mason and Harold Stannett Williams Memorial Foundation · National Health and Medical Research Council

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