Qingshan Wei

Prof. Qingshan Wei

Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 May 2021 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
JRJean Beagle Ristaino
Jean Beagle Ristaino
PAPamela K. Anderson
Pamela K. Anderson
DBDaniel Bebber
Daniel Bebber
KBKate A. Brauman
Kate A. Brauman
NCNik Cunniffe
Nik Cunniffe
Qingshan WeiQingshan Wei
Qingshan Wei
Plant disease outbreaks are increasing and threaten food security for the vulnerable in many areas of the world. Now a global human pandemic is threatening the health of millions on our planet. A stable, nutritious food supply will be needed to lift people out of poverty and improve health outcomes. Plant diseases, both endemic and recently emerging, are spreading and exacerbated by climate change, transmission with global food trade networks, pathogen spillover, and evolution of new pathogen lineages. In order to tackle these grand challenges, a new set of tools that include disease surveillance and improved detection technologies including pathogen sensors and predictive modeling and data analytics are needed to prevent future outbreaks. Herein, we describe an integrated research agenda that could help mitigate future plant disease pandemics.

16 January 2009 in Photochemistry and Photobiology
Verified
Journal Article
Open access
PDF file
LTLing Tong
Ling Tong
Qingshan WeiQingshan Wei
Qingshan Wei
AWAlexander Wei
Alexander Wei
JCJi-Xin Cheng
Ji-Xin Cheng
Gold nanorods (NRs) have plasmon‐resonant absorption and scattering in the near‐infrared (NIR) region, making them attractive probes for in vitro and in vivo imaging. In the cellular environment, NRs can provide scattering contrast for darkfield microscopy, or emit a strong two‐photon luminescence due to plasmon‐enhanced two‐photon absorption. NRs have also been employed in biomedical imaging modalities such as optical coherence tomography or photoacoustic tomography. Careful control over surface chemistry enhances the capacity of NRs as biological imaging agents by enabling cell‐specific targeting, and by increasing their dispersion stability and circulation lifetimes. NRs can also efficiently convert optical energy into heat, and inflict localized damage to tumor cells. Laser‐induced heating of NRs can disrupt cell membrane integrity and homeostasis, resulting in Ca2+ influx and the depolymerization of the intracellular actin network. The combination of plasmon‐resonant optical properties, intense local photothermal effects and robust surface chemistry render gold NRs as promising theragnostic agents.

27 July 2011 in Nanomedicine
Verified
Journal Article
Closed access
MSMatthew Charles Stensberg
Matthew Charles Stensberg
Qingshan WeiQingshan Wei
Qingshan Wei
Eric McLamoreEric McLamore
Eric McLamore
D. Marshall PorterfieldD. Marshall Porterfield
D. Marshall Porterfield
AWAlexander Wei
Alexander Wei
MSMaria S Sepulveda
Maria S Sepulveda
Silver nanoparticles (Ag NPs) are becoming increasingly prevalent in consumer products as antibacterial agents. The increased use of Ag NP-enhanced products may lead to an increase in toxic levels of environmental silver, but regulatory control over the use or disposal of such products is lagging due to insufficient assessment on the toxicology of Ag NPs and their rate of release into the environment. In this article we discuss recent research on the transport, activity and fate of Ag NPs at the cellular and organismic level, in conjunction with traditional and recently established methods of nanoparticle characterization. We include several proposed mechanisms of cytotoxicity based on such studies, as well as new opportunities for investigating the uptake and fate of Ag NPs in living systems.

9 September 2013 in ACS Nano
Verified
Journal Article
Closed access
Qingshan WeiQingshan Wei
Qingshan Wei
HQHangfei Qi
Hangfei Qi
WLWei Luo
Wei Luo
DTDerek Tseng
Derek Tseng
SKSo Jung Ki
So Jung Ki
Aydogan OzcanAydogan Ozcan
Aydogan Ozcan

28 January 2014 in ACS Nano
Verified
Journal Article
Open access
Qingshan WeiQingshan Wei
Qingshan Wei
RNRichie Nagi
Richie Nagi
KSKayvon Sadeghi
Kayvon Sadeghi
SFSteve Feng
Steve Feng
EYEddie Yan
Eddie Yan
Aydogan OzcanAydogan Ozcan
Aydogan Ozcan
Detection of environmental contamination such as trace-level toxic heavy metal ions mostly relies on bulky and costly analytical instruments. However, a considerable global need exists for portable, rapid, specific, sensitive, and cost-effective detection techniques that can be used in resource-limited and field settings. Here we introduce a smart-phone-based hand-held platform that allows the quantification of mercury(II) ions in water samples with parts per billion (ppb) level of sensitivity. For this task, we created an integrated opto-mechanical attachment to the built-in camera module of a smart-phone to digitally quantify mercury concentration using a plasmonic gold nanoparticle (Au NP) and aptamer based colorimetric transmission assay that is implemented in disposable test tubes. With this smart-phone attachment that weighs <40 g, we quantified mercury(II) ion concentration in water samples by using a two-color ratiometric method employing light-emitting diodes (LEDs) at 523 and 625 nm, where a custom-developed smart application was utilized to process each acquired transmission image on the same phone to achieve a limit of detection of ∼3.5 ppb. Using this smart-phone-based detection platform, we generated a mercury contamination map by measuring water samples at over 50 locations in California (USA), taken from city tap water sources, rivers, lakes, and beaches. With its cost-effective design, field-portability, and wireless data connectivity, this sensitive and specific heavy metal detection platform running on cellphones could be rather useful for distributed sensing, tracking, and sharing of water contamination information as a function of both space and time.

14 July 2015 in ACS Nano
Verified
Journal Article
Open access
BBBrandon Berg
Brandon Berg
BCBingen Cortazar
Bingen Cortazar
DTDerek Tseng
Derek Tseng
HOHaydar Ozkan
Haydar Ozkan
SFSteve Feng
Steve Feng
Aydogan OzcanAydogan Ozcan
Aydogan Ozcan
Standard microplate based enzyme-linked immunosorbent assays (ELISA) are widely utilized for various nanomedicine, molecular sensing, and disease screening applications, and this multiwell plate batched analysis dramatically reduces diagnosis costs per patient compared to nonbatched or nonstandard tests. However, their use in resource-limited and field-settings is inhibited by the necessity for relatively large and expensive readout instruments. To mitigate this problem, we created a hand-held and cost-effective cellphone-based colorimetric microplate reader, which uses a 3D-printed opto-mechanical attachment to hold and illuminate a 96-well plate using a light-emitting-diode (LED) array. This LED light is transmitted through each well, and is then collected via 96 individual optical fibers. Captured images of this fiber-bundle are transmitted to our servers through a custom-designed app for processing using a machine learning algorithm, yielding diagnostic results, which are delivered to the user within ∼1 min per 96-well plate, and are visualized using the same app. We successfully tested this mobile platform in a clinical microbiology laboratory using FDA-approved mumps IgG, measles IgG, and herpes simplex virus IgG (HSV-1 and HSV-2) ELISA tests using a total of 567 and 571 patient samples for training and blind testing, respectively, and achieved an accuracy of 99.6%, 98.6%, 99.4%, and 99.4% for mumps, measles, HSV-1, and HSV-2 tests, respectively. This cost-effective and hand-held platform could assist health-care professionals to perform high-throughput disease screening or tracking of vaccination campaigns at the point-of-care, even in resource-poor and field-settings. Also, its intrinsic wireless connectivity can serve epidemiological studies, generating spatiotemporal maps of disease prevalence and immunity.