ArticleProceedings of the National Academy of Sciences of the United States of America2023
High-throughput experimentation for discovery of biodegradable polyesters.
Article in Proceedings of the National Academy of Sciences of the United States of America, 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, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Polymer Biodegradation in Aquatic Environments: A Machine Learning Model Informed by Meta-Analysis of Structure-Biodegradation Relationships.Environmental science & technology · 2025Pooled it
- High-Throughput Measurement of Biodegradation Rates Using the Clear-Zone Assay.ACS measurement science au · 2026Article
- Challenges and Vision for Standardization of Biopolymer Data Sets for Machine Learning.Biomacromolecules · 2026Review
- Article
- Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.Journal of the American Chemical Society · 2026Article
- Explainable random forest predictions of polyester biodegradability using high-throughput biodegradation data.Chemical science · 2026Article
- Seeking Precise Protein-like Functions from Random Heteropolymer Ensemble and through Dimensionality Reduction.ACS central science · 2025Review
- PMSE Centennial: Celebration of Success and New Frontiers in Polymer Materials Science and Engineering.ACS macro letters · 2025Article
- Multifunctional piezoelectric hydrogels under ultrasound stimulation boost chondrogenesis by recruiting autologous stem cells and activating the CaBioactive materials · 2025Article
- Circularity in polydiketoenamine thermoplastics via control over reactive chain conformation.Science advances · 2025Article
- Degradable poly(β-amino ester) microparticles for cleansing products and food fortification.Nature chemical engineering · 2025Article
- Toward a Circular Bioeconomy: Designing Microbes and Polymers for Biodegradation.ACS synthetic biology · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The consistent rise of plastic pollution has stimulated interest in the development of biodegradable plastics. However, the study of polymer biodegradation has historically been limited to a small number of polymers due to costly and slow standard methods for measuring degradation, slowing new material innovation. High-throughput polymer synthesis and a high-throughput polymer biodegradation method are developed and applied to generate a biodegradation dataset for 642 chemically distinct polyesters and polycarbonates. The biodegradation assay was based on the clear-zone technique, using automation to optically observe the degradation of suspended polymer particles under the action of a single
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.