Evidence map›Paper›PMID 35647284›Full record

ArticleACS central science2022

Edible Matrix Code with Photogenic Silk Proteins.

Jung Woo Leem, Hee-Jae Jeon, Yuhyun Ji, Sang Mok Park, Yunsang Kwak, Jongwoo Park, Kee-Young Kim, Seong-Wan Kim, Young L Kim

Abstract read
In one paragraph

Article in ACS central science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. Article
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  10. Review
  11. Food-Grade Physically Unclonable Functions.ACS applied materials & interfaces · 2023
    Article
  12. Article
  13. Article
  14. 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

9 authors.

Jung Woo LeemWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID https://orcid.org/0000-0001-5008-2356
Hee-Jae JeonWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Yuhyun JiWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Sang Mok ParkWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Yunsang KwakDepartment of Mechanical System Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi-si, Gyeongsangbuk-do 39177, Republic of Korea.
Jongwoo ParkDepartment of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, Jeollabuk-do 55365, Republic of Korea.
Kee-Young KimDepartment of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, Jeollabuk-do 55365, Republic of Korea.
Seong-Wan KimDepartment of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, Jeollabuk-do 55365, Republic of Korea.
Young L KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID https://orcid.org/0000-0003-3796-9643

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Counterfeit medicines are a healthcare security problem, posing not only a direct threat to patient safety and public health but also causing heavy economic losses. Current anticounterfeiting methods are limited due to the toxicity of the constituent materials and the focus of secondary packaging level protections. We introduce an edible, imperceptible, and scalable matrix code of information representation and data storage for pharmaceutical products. This matrix code is digestible as it is composed of silk fibroin genetically encoded with fluorescent proteins produced by ecofriendly, sustainable silkworm farming. Three distinct fluorescence emission colors are incorporated into a multidimensional parameter space with a variable encoding capacity in a format of matrix arrays. This code is smartphone-readable to extract a digitized security key augmented by a deep neural network for overcoming fabrication imperfections and a cryptographic hash function for enhanced security. The biocompatibility, photostability, thermal stability, long-term reliability, and low bit error ratio of the code support the immediate feasibility for dosage-level anticounterfeit measures and authentication features. The edible code affixed to each medicine can serve as serialization, track and trace, and authentication at the dosage level, empowering every patient to play a role in combating illicit pharmaceuticals.

Identifiers

PMID35647284
PMCPMC9136975

What OpenQuestion holds

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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.