Evidence map›Paper›PMID 37644026›Full record

ArticleNature communications2023

Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer.

Un Jeong Kim, Suyeon Lee, Hyochul Kim, Yeongeun Roh, Seungju Han, Hojung Kim, Yeonsang Park, Seokin Kim, Myung Jin Chung, Hyungbin Son and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  6. Advances in Miniaturized Computational Spectrometers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Un Jeong Kim *Metaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.ORCID http://orcid.org/0000-0003-2799-8168
Suyeon Lee *Metaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.
Hyochul KimMetaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.
Yeongeun RohMetaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.
Seungju HanMachine Learning TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.ORCID http://orcid.org/0000-0001-7293-1419
Hojung KimMetaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea.
Yeonsang ParkDepartment of Physics, Chungnam National University, Daejeon, 34134, Korea.ORCID http://orcid.org/0000-0002-9746-8026
Seokin KimSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Myung Jin ChungDepartment of Digital Health, Samsung Advanced Institute of Health Science, Sungkyunkwan University, Seoul, 06355, Korea.
Hyungbin SonSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Hyuck ChooMetaphotonics TU, Samsung Advanced Institute of Technology, Suwon, Gyeonggi-do, 16419, Republic of Korea. hyuck.choo@samsung.com.ORCID http://orcid.org/0000-0002-8903-7939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring, recording and analyzing spectral information of materials as its unique finger print using a ubiquitous smartphone has been desired by scientists and consumers. We demonstrated it as drug classification by chemical components with smartphone Raman spectrometer. The Raman spectrometer is based on the CMOS image sensor of the smartphone with a periodic array of band pass filters, capturing 2D Raman spectral intensity map, newly defined as spectral barcode in this work. Here we show 11 major components of drugs are classified with high accuracy, 99.0%, with the aid of convolutional neural network (CNN). The beneficial of spectral barcodes is that even brand name of drug is distinguishable and major component of unknown drugs can be identified. Combining spectral barcode with information obtained by red, green and blue (RGB) imaging system or applying image recognition techniques, this inherent property based labeling system will facilitate fundamental research and business opportunities.

Indexed as

Spectrum Analysis, RamanCommerceCytoplasmFingersSmartphone

Identifiers

PMID37644026
PMCPMC10465478

What OpenQuestion holds

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LicenceCC BY
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.