Evidence map›Paper›PMID 35151942›Full record

ArticleBiosensors & bioelectronics2022

An excitation wavelength-optimized, stable SERS biosensing nanoplatform for analyzing adenoviral and AstraZeneca COVID-19 vaccination efficacy status using tear samples of vaccinated individuals.

Wansun Kim, Soogeun Kim, Jisang Han, Tae Gi Kim, Ayoung Bang, Hyung Woo Choi, Gyeong Eun Min, Jae-Ho Shin, Sang Woong Moon, Samjin Choi

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

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  7. Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2022
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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 at 4 institutions in 1 country.

Wansun KimDepartment of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Soogeun KimDepartment of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Jisang HanDepartment of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
Tae Gi KimDepartment of Ophthalmology, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Ayoung BangDepartment of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Hyung Woo ChoiDepartment of Mechanical Engineering, Sogang University, Seoul, 04107, Republic of Korea.
Gyeong Eun MinDepartment of Urology, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
Jae-Ho ShinDepartment of Ophthalmology, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea. Electronic address: pbloadsky@naver.com.
Sang Woong MoonDepartment of Ophthalmology, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea. Electronic address: ophmoon@gmail.com.
Samjin ChoiDepartment of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea. Electronic address: medchoi@khu.ac.kr.
Kyung Hee University · KRKangbuk Samsung Hospital · KRKyung Hee Cyber University · KRSogang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a label-free surface-enhanced Raman scattering (SERS) biosensing platform equipped with metallic nanostructures that can identify the efficacy of Oxford-AstraZeneca (AZD1222) vaccine in vaccinated individuals using non-invasive tear samples. We confirmed the hypothesis that the tears of people who receive the AZD1222 vaccine may be similar to those of adenovirus epidemic keratoconjunctivitis patients since the Oxford-AstraZeneca vaccine is derived from a replication-deficient ChAdOx1 vector of chimpanzee adenovirus. Additionally, we confirmed the potential of the three markers for estimating the vaccination status via analyzing the signals emanating from antibodies or immunoglobulin G by-product using our label-free, SERS biosensing technique with a high reproducibility (<3% relative standard deviation), femtomole-scale limit of detection (1 × 10

Indexed as

Biosensing TechniquesCOVID-19AdenoviridaeChAdOx1 nCoV-19COVID-19 VaccinesHumansReproducibility of ResultsSARS-CoV-2Spectrum Analysis, RamanVaccinationChAdOx1 nCoV-19COVID-19 VaccinesLabel-free SERS biosensing platformNear- and far-field propertiesOxford-AstraZeneca vaccineStability and robustnessTear fluids

Identifiers

PMID35151942
PMCPMC8824302
OpenAlexW4220965147

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.