Evidence map›Paper›PMID 41210763›Full record

ArticleACS omega2025

POSERS: A Steganography-Driven Molecular Tagging System Using Randomized DNA Sequences for Secure Authentication.

Ali Tafazoli Yazdi, Peter Nejjar, Lena Hochrein

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ali Tafazoli YazdiUniversity of Potsdam, Institute of Biochemistry and Biology, Faculty of Science, Potsdam 14476, Germany.ORCID https://orcid.org/0009-0006-8982-0129
Peter NejjarUniversity of Potsdam, Institute of Mathematics, Faculty of Science, Potsdam 14476, Germany.ORCID https://orcid.org/0000-0001-9663-7775
Lena HochreinUniversity of Potsdam, Institute of Biochemistry and Biology, Faculty of Science, Potsdam 14476, Germany.ORCID https://orcid.org/0000-0002-2548-4318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Counterfeiting remains a major threat across multiple industries, causing substantial financial losses and health-related risks. DNA-based molecular tagging has emerged as a promising anticounterfeiting strategy, but existing methods rely on predefined DNA sequences, making them increasingly vulnerable to replication as sequencing and synthesis technologies advance. To address these limitations, we introduce POSERS (Position-Oriented Scattering of Elements among a Randomized Sequence), a steganographic DNA tagging system that encodes product-specific constraints into highly diverse, randomized DNA libraries. While the underlying design is adaptable to other molecular or material carriers, DNA offers a particularly attractive option due to its chemical stability, low synthesis cost, and proven compatibility with materials such as inks, polymers, and coatings. Unlike previous methods that use fixed tags, POSERS enables customizable design complexity and offers resilience against replication attempts. Each product in a batch receives a unique DNA library generated in a single synthesis step, allowing for cost-effective, large-scale deployment. The security of POSERS is mathematically validated and experimentally confirmed using next-generation sequencing, combined with complementary authentication tests that detect both unauthorized sequence combinations and insufficient diversity. POSERS consistently distinguishes genuine tags from forgeries, even under conservative assumptions about an attacker's knowledge and capabilities. Our approach prevents both PCR-based copying and reverse-engineering of tag designs. With its customizable design parameters, minimal DNA input requirements, and demonstrated robustness against current and emerging attacks, POSERS establishes a new standard for secure molecular tagging and offers a scalable, future-proof solution for high-risk products.

Identifiers

PMID41210763
PMCPMC12593101

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Registered trials

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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.