Evidence map›Paper›PMID 39715745›Full record

ArticleMicrosystems & nanoengineering2024

Fiber optics-based surface enhanced Raman Spectroscopy sensors for rapid multiplex detection of foodborne pathogens in raw poultry.

Mai Abuhelwa, Arshdeep Singh, Jiayu Liu, Mohammed Almalaysha, Anna V Carlson, Kate E Trout, Amit Morey, E Kinzel, Lakshmikantha H Channaiah, Mahmoud Almasri

Abstract readEditorial
In one paragraph

Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Strategic Detection ofBiosensors · 2025
    Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mai AbuhelwaDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.
Arshdeep SinghDivision of Food, Nutrition & Exercise Sciences, University of Missouri, Columbia, MO, 65211, USA.
Jiayu LiuDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.
Mohammed AlmalayshaDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.ORCID http://orcid.org/0009-0006-7874-6189
Anna V CarlsonCargill, Inc, Wichita, KS, 67202, USA.
Kate E TroutCollege of Health Sciences, University of Missouri, Columbia, MO, 65211, USA.
Amit MoreyDepartment of Poultry Science, Auburn University, Auburn, AL, 36849, USA.
E KinzelMechanical and Aerospace Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
Lakshmikantha H ChannaiahDivision of Food, Nutrition & Exercise Sciences, University of Missouri, Columbia, MO, 65211, USA.
Mahmoud AlmasriDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA. almasrim@missouri.edu.

Funding

National Science Foundation (NSF) 0072474
6 · The paper itself

Abstract

A new high-sensitivity, low-cost, Surface Enhanced Raman Spectroscopy (SERS) sensor allows for the rapid multiplex detection of foodborne pathogens in raw poultry. Self-assembled microspheres are used to pattern a hexagonal close-packed array of nanoantennas onto a side-polished multimode fiber core. Each microsphere focuses UV radiation to a photonic nanojet within a layer of photoresist on the fiber which allows the nanoantenna geometry to be controlled. Optimizing the geometry for the excitation layer generates electric field concentrations- referred to as a hotspot- within the analyte, thereby maximizing the Raman signal and improving the signal-to-noise ratio. The side polished configuration with a larger surface area has significantly better performance than the SERS sensor on the fiber tip. The use of additive manufacturing for the fiber polishing jigs as well as the sample testing compartment simplifies the sensor development and testing. Experimental results demonstrate a sensitivity range of 0.4-0.5 cells/ml achieved using raw chicken rinsates spiked with Salmonella typhimurium. Additionally, the sensor demonstrated its capability for multiplex and specific detection of Salmonella and E. coli O157:H7 with an optimal detection time of 10 min. The new sensor addresses a major global foodborne pathogen that poses significant public health concerns and can be readily adapted for the detection of other bacterial and viral pathogens such as E. coli O157:H7, Campylobacter, Listeria, and avian influenza and in other food products, e.g., dairy, beef, and produce, as well as clinical applications.

Identifiers

PMID39715745
PMCPMC11666782

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.