Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 524

The DOI matches its Crossref record.

Start a Research on Biopolymer Polyhydroxyalkanoate (PHA): A Review

Open access
Tan, Giin-Yu, Chen, Chia-Lung, Li, Ling, Ge, Liya, Wang, Lin, Razaad, Indah, Li, Yanhong, Zhao, Lei, Mo, Yu, Wang, Jing-Yuan·2014·Polymers

Abstract

With the impending fossil fuel crisis, the search for and development of alternative chemical/material substitutes is pivotal in reducing mankind’s dependency on fossil resources. One of the potential substitute candidates is polyhydroxyalkanoate (PHA). PHA is a carbon-neutral and valuable polymer that could be produced from many renewable carbon sources by microorganisms, making it a sustainable and environmental-friendly material. At present, PHA is not cost competitive compared to fossil-derived products. Encouraging and intensifying research work on PHA is anticipated to enhance its economic viability in the future. The development of various biomolecular and chemical techniques for PHA analysis has led to the identification of many PHA-producing microbial strains, some of which are deposited in culture collections. Research work on PHA could be rapidly initiated with these ready-to-use techniques and microbial strains. This review aims to facilitate the start-up of PHA research by providing a summary of commercially available PHA-accumulating microbial cultures, PHA biosynthetic pathways, and methods for PHA detection, extraction and analysis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/polym6030706

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 524

Metadata

Authors
Tan, G.-Y., Chen, C.-L., Li, L., Ge, L., Wang, L., Razaad, I., Li, Y., Zhao, L., Mo, Y., & Wang, J.-Y.
Venue
Polymers
Publisher
MDPI AG
Published
2014-03-12
Volume
6
Issue
3
Pages
706-754
ISSN
2073-4360 (ISSN-L)
OpenAlex
W2119181590
Cited by
524
References
0
FWCI
10.14
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Start a Research on Biopolymer Polyhydroxyalkanoate (PHA): A Review. https://app.cochat.ai/papers/10.3390/polym6030706
The paper
Tan, G.-Y., Chen, C.-L., Li, L., Ge, L., Wang, L., Razaad, I., Li, Y., Zhao, L., Mo, Y., & Wang, J.-Y. (2014). Start a Research on Biopolymer Polyhydroxyalkanoate (PHA): A Review. Polymers. https://doi.org/10.3390/polym6030706

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.