Poly-cytosine-mediated nanotags for SERS detection of Hg<sup>2+</sup>

Qi, Lin; Xiao, Mingshu; Wang, Fei; Wang, Lihua; Ji, Wei; Man, Tiantian; Aldalbahi, Ali; Khan, Muhammad Altaf; Periyasami, Govindasami; Rahaman, Mostafizur; Alrohaili, Abdulaziz; Qu, Xiangmeng; Pei, Hao; Wang, Cheng; Li, Li

doi:10.1039/c7nr05165d

Cited by 67 publications

(46 citation statements)

References 62 publications

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“…The SERS LFM achieves a CV (coefficient of variation) as low as 9.5% across different batches. Furthermore, the capacity of the SERS LFM to provide biological results was greatly enhanced by adoption of both the encoded SERS nanotags 27-30 and microarray. In addition, miniaturization of the T lines to the T dots in the microarrays for LFA greatly decreased sample volumes, reagent consumption, requirement for manual operation and the time required for detection.…”

Section: Resultsmentioning

confidence: 99%

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Zhang¹,

Huang²,

Liu³

et al. 2019

Theranostics

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Respiratory tract infections (RTIs) are severe acute infectious diseases, which require the timely and accurate identification of the pathogens involved so that the individual treatment plan can be selected, including optimized use of antibiotics. However, high throughput and ultrasensitive quantification of multiple nucleic acids is a challenge in a point of care testing (POCT) device. Methods: Herein, we developed a 2×3 microarray on a lateral flow strip with surface enhanced Raman scattering (SERS) nanotags encoding the nucleic acids of 11 common RTI pathogens. On account of the signal magnification of encoded SERS nanotags in addition to the high surface area to volume ratio of the nitrocellulose (NC) membrane, rapid quantification of the 11 pathogens with a broad linear dynamic range (LDR) and ultra-high sensitivity was achieved on one lateral flow microarray. Results: The limit of detection (LOD) for influenza A, parainfluenza 1, parainfluenza 3, respiratory syncytial virus, coxiella burnetii, legionella pneumophila, influenza B, parainfluenza 2, adenovirus, chlamydophila pneumoniae, and mycoplasma pneumoniae were calculated to be 0.031 pM, 0.030 pM, 0.038 pM, 0.038 pM, 0.040 pM, 0.039 pM, 0.035 pM, 0.032 pM, 0.040 pM, 0.039 pM, and 0.041 pM, respectively. The LDR of measurement of the target nucleic acids of the eleven RTI pathogens were 1 pM-50 nM, which span 5 orders of magnitude. Conclusions: We anticipate this novel approach could be widely adopted in the early and precise diagnosis of RTI and other diseases.

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Section: Resultsmentioning

confidence: 99%

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Zhang¹,

Huang²,

Liu³

et al. 2019

Theranostics

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“…These analysis methods are off-site and time-consuming. The SERS-based technique could be a promising method for the fast and sensitive detection of toxic molecules [ 52 , 53 , 54 ]. For instance, Kubackova et al [ 54 ] used the alkyl dithiol-functionalized metal nanoparticles as a SERS substrate to detect lindane molecules (or γ-666), which are the most typical and toxic organochlorine pesticides, with the detection limit of 1 ppm.…”

Section: Resultsmentioning

confidence: 99%

Kinetically-Controlled Growth of Chestnut-Like Au Nanocrystals with High-Density Tips and Their High SERS Performances on Organochlorine Pesticides

et al. 2018

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A modified seed growth route was developed to fabricate the Au nanocrystals with high-density tips based on kinetically-controlled growth via adjusting the adding rate of Au seeds into growth solution. The obtained Au nanostructures were chestnut-like in morphology and about 100 nm in size. They were built of the radial [111]-oriented nanoneedles and were 30–50 nm in length. There were about 120–150 tips in each nanocrystal. The formation of chestnut-like Au nanocrystals is ascribed to surfactant-induced preferential growth of seeds along direction [111]. Importantly, the chestnut-like Au configuration displayed powerful surface enhanced Raman scattering (SERS) performance (enhance factor > 107), owing to the high density of tips. Further, such film was used as a SERS substrate for the detection of lindane (γ-666) molecules (the typical organochlorine pesticide). The detection limit was about 10 ppb, and the relationship between SERS intensity I and concentration C of 666 accords with the double logarithm linear. This work presents a simple approach to Au nanocrystal with high-density tips, and provides a highly efficacious SERS-substrate for quantitative and trace recognition of toxic chlorinated pesticides.

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“…A schematic illustration of the surface‐enhanced Raman scattering‐active system for Hg 2+ detection based on T‐Hg 2+ ‐T bridges using polyC‐mediated engineered SERS nanotags. Adopted with permission from Qi et al [ 65 ] Copyright 2017, The Royal Society of Chemistry…”

Section: Methods For Sers‐based Ions Sensingmentioning

confidence: 99%

Recent advances in surface‐enhanced Raman scattering‐based sensors for the detection of inorganic ions: Sensing mechanism and beyond

Zhang

et al. 2020

J Raman Spectroscopy

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Inorganic ions determination has been receiving increased attention due to its strong environmental and biomedical impact. Surface‐enhanced Raman scattering (SERS) spectroscopy has been considered to be a promising alternative method for inorganic ions analysis. Initially, the detection of inorganic ions is indirectly achieved by monitoring the SERS spectral alteration of a molecular probe (Raman reporter) upon its interaction with a specific inorganic ion. Recent years, based on incorporation of a functional molecule, an aptamer, and a nanocatalyst into a sensing system, numerous new methods have been proposed for the construction of sensitive SERS‐based inorganic ion sensors. Herein, this review is devoted to the recent advances in SERS‐based sensors for the determination of inorganic ions and specially focuses on the sensing mechanism and sensing methods. In addition, the current challenges and future research opportunities in utilizing SERS‐based methods for inorganic ions sensing are briefly featured.

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Poly-cytosine-mediated nanotags for SERS detection of Hg²⁺

Cited by 67 publications

References 62 publications

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Kinetically-Controlled Growth of Chestnut-Like Au Nanocrystals with High-Density Tips and Their High SERS Performances on Organochlorine Pesticides

Recent advances in surface‐enhanced Raman scattering‐based sensors for the detection of inorganic ions: Sensing mechanism and beyond

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Poly-cytosine-mediated nanotags for SERS detection of Hg2+

Cited by 67 publications

References 62 publications

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags

Kinetically-Controlled Growth of Chestnut-Like Au Nanocrystals with High-Density Tips and Their High SERS Performances on Organochlorine Pesticides

Recent advances in surface‐enhanced Raman scattering‐based sensors for the detection of inorganic ions: Sensing mechanism and beyond

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Poly-cytosine-mediated nanotags for SERS detection of Hg²⁺