Evidence map›Paper›PMID 39832017›Full record

ArticleBiodegradation2025

Optimization of polyhydroxyalkanoate (PHA) production from biohythane pilot plant effluent by Cupriavidus necator TISTR 1335.

Yu-Ting Song, Napapat Sitthikitpanya, Nikannapas Usmanbaha, Alissara Reungsang, Chen-Yeon Chu

Abstract read
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In one paragraph

Article in Biodegradation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Yu-Ting SongMaster's Program of Green Energy Science and Technology, Feng Chia University, Taichung City, 407102, Taiwan.
Napapat SitthikitpanyaDepartment of Biotechnology, Faculty of Technology, Khon Kaen University, Khon Kaen, 40002, Thailand.
Nikannapas UsmanbahaInstitute of Green Products, Feng Chia University, Taichung, 407102, Taiwan.
Alissara ReungsangDepartment of Biotechnology, Faculty of Technology, Khon Kaen University, Khon Kaen, 40002, Thailand.
Chen-Yeon ChuMaster's Program of Green Energy Science and Technology, Feng Chia University, Taichung City, 407102, Taiwan. cychu@o365.fcu.edu.tw.

Funding

National Science and Technology Council, Taiwan NSTC 111-2221-E-035 -040 -MY3; 112-2923-E-035-001-MY3; 113-2218-E-035-002
6 · The paper itself

Abstract

Bioplastics, particularly polyhydroxyalkanoates (PHAs), are emerging as promising alternatives to traditional materials due to their biodegradability. This study focuses on the production of PHAs as bioplastics using effluent from hydrogen production in a two-stage Biohythane Pilot Plant, which provides a low-cost substrate. The aim is to optimize production conditions, with Cupriavidus necator TISTR 1335 being used as the PHA producer. Utilizing Response Surface Methodology-Central Composite Design, we explored optimal conditions, revealing peak PHA production at a substrate concentration of 33.51 g COD/L and a pH of 6.87. The predicted optimal PHA concentration was at 3.05 g/L within the established model, closely matching the experimentally validated value of 3.02 g/L, with the overall usage rate of reducing sugars approximately 50-60%. This study underscores the importance of optimizing PHA production conditions and paving the way toward large-scale PHA production.

Indexed as

Cupriavidus necatorPolyhydroxyalkanoatesBiodegradation, EnvironmentalBioreactorsHydrogenHydrogen-Ion ConcentrationPilot ProjectsHydrogenPolyhydroxyalkanoatesAcidogenic effluentBiohythaneBioplasticCupriavidus necatorResponse surface methodology

Identifiers

What OpenQuestion holds

Textmetadata
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.