Evidence map›Paper›PMID 42209948›Full record

ArticleApplied biochemistry and biotechnology2026

High-load and Stable co-digestion of Food Waste and Chicken Manure in a Modified Continuous Stirred Tank Reactor (CSTR): Operational Performance and Metabolic Pathway.

Xinyuan Liu, Xing Liu, Dongxu Li, Jiamin Nie, Nan Wu, Jinxing Peng, Fan Yang, Fan Ouyang

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Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

8 authors.

Xinyuan LiuKey Laboratory of Smart Breeding (Co-construction by Ministry and Province) of Ministry of Agriculture and Rural Affairs, Tianjin Agricultural University, Tianjin, 300392, China.
Xing LiuCollege of Engineering and Technology, Tianjin Agricultural University, Jinjing Street 22, Xiqing District, Tianjin, 300392, China.
Dongxu LiCollege of Engineering and Technology, Tianjin Agricultural University, Jinjing Street 22, Xiqing District, Tianjin, 300392, China.
Jiamin NieCollege of Engineering and Technology, Tianjin Agricultural University, Jinjing Street 22, Xiqing District, Tianjin, 300392, China.
Nan WuKey Laboratory of Smart Breeding (Co-construction by Ministry and Province) of Ministry of Agriculture and Rural Affairs, Tianjin Agricultural University, Tianjin, 300392, China.
Jinxing PengKey Laboratory of Smart Breeding (Co-construction by Ministry and Province) of Ministry of Agriculture and Rural Affairs, Tianjin Agricultural University, Tianjin, 300392, China.
Fan YangKey Laboratory of Smart Breeding (Co-construction by Ministry and Province) of Ministry of Agriculture and Rural Affairs, Tianjin Agricultural University, Tianjin, 300392, China.
Fan OuyangTraffic and Environment Department, Shenzhen Institute of Information Technology, Shenzhen, 518172, China. 2016000068@sziit.edu.cn.ORCID http://orcid.org/0009-0006-3987-1673

Funding

Scientific Research Project of Tianjin Education Commission 2022KJ021Special Projects in Key Fields of Common Colleges and Universities in Guangdong Province 2021ZDZX4106the Open Fund of Key Laboratory of Smart Breeding (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs 2024-TJAULSBF-2208
6 · The paper itself

Abstract

High-load anaerobic digestion can enhance both economic benefits and energy efficiency, but stable operation remains challenging. The study employed a modified continuous stirred tank reactor (CSTR) to investigate operational stability and metabolic shift during long-term co-digestion of food waste and chicken manure under stepwise increasing organic loading rates (OLRs) from 2 to 8 g-VS·L

Indexed as

BioreactorsManureMetabolic Networks and PathwaysAnaerobiosisAnimalsBiofuelsChickensFatty Acids, VolatileFood Loss and WasteHydrogen-Ion ConcentrationMethaneBiofuelsFatty Acids, VolatileFood Loss and WasteManureMethaneCo-digestionLong-termMetabolic shiftModified CSTROLR

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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.