Label-Free Spectroscopic SARS-CoV-2 Detection on Versatile Nanoimprinted Substrates

  1. Debadrita Paria
  2. Kam Sang Kwok
  3. Piyush Raj
  4. Peng Zheng
  5. David H. Gracias
  6. Ishan Barman

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Abstract

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  1. Version published to 10.1021/acs.nanolett.1c04722
  2. ScreenIT

    SciScore for 10.1101/2021.10.29.21265683: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    ), Isolate USA-WA1/2020 (109 copies/ml) Zika virus, PRVABC59 (1010 copies/ml) Marburg Marburgvirus, H. sapiens-tc/AGO/2005/Angola-200501379 (1011 copies/ml) All samples have cell lysate from Cercopithecus aethiops kidney epithelial cells (Vero E6) as the base media.
    Vero E6
    suggested: RRID:CVCL_XD71)
    Control - Vero 6 cell lysate from BEI Resources Human pooled saliva - Innovative Research The virus samples were handled in BSL-2 laboratory conditions.
    Vero 6
    suggested: None
    Software and Algorithms
    SentencesResources
    Thereafter, the TreeBagger built-in Matlab function was used to perform classification-based random forest with sample replacement and curvature-based predictor selection.
    Matlab
    suggested: (MATLAB, RRID:SCR_001622)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    With the limitations of the current widely used methods, there is a constant need for techniques that are rapid, easy to operate, inexpensive and can be applied to any kind of viruses with no/minimal modifications. The sensing platform we report here has the capability to be built into an inexpensive mass testing technology with a positive result in less than 25 minutes. Although rapid antigen testing can provide marginally faster results (15 mins), the accuracy is lower (44). The large area nano manufactured flexible sensor surface can be mounted on any surface like doorknobs, cylinders, building entrance etc. to enable on-site rapid testing with a handheld Raman setup. The capability of having the entire sensing area on a flexible substrate enables the fabrication of sensor patches that can be placed on face masks or skin for continuous surveillance. Our choice of nanostructure encompasses an architecture with realistic design parameters to enable one-step lithography-free fabrication while ensuring enough interaction between the nanostructures for increasing the detected signal. It is well known that Raman scattering is a weak phenomenon and signals from biological material are even weaker. Thus, to have a sufficient signal-to-noise ratio, we have used silver nanostructures with resonance matched to the excitation laser frequency for maximizing the Raman scattering signal. A less noisy spectrum enables more accurate use of machine learning algorithms for successfully class...

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 6. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.10.29.21265683v1 on medRxiv