Synergetic enhancement of methane production and system resilience during anaerobic digestion of food waste in ammonia-tolerant anaerobic sludge system.

Shumei Gao, Xinyu Lei, Wenquan Ruan, Mingxing Zhao

Abstract read

In one paragraph

Article in Environmental science and pollution research international, 2021. 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

0.5field-weighted citation impact, top 39% of its field

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, 6 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Shumei GaoCollege of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, 314001, Zhejiang Province, China.

Xinyu LeiCollege of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, 314001, Zhejiang Province, China.

Wenquan RuanSchool of Environment and Civil Engineering, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China.

Mingxing ZhaoSchool of Environment and Civil Engineering, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, Jiangsu Province, China. mxzhao@jiangnan.edu.cn.

Jiangnan University · CNJiaxing University · CN

Funding

National Natural Science Foundation of China 31971385National Natural Science Foundation of China 51678279the open Foundation of Jiangsu Key Laboratory of Anaerobic Biotechnology JKLAB201707Zhejiang Provincial Natural Science Foundation of China LQ17E080013

6 · The paper itself

Abstract

The anaerobic digestion (AD) of food waste (FW) was augmented with ammonia-tolerant anaerobic sludge (ATAS). Different inoculum substrate ratios (ISR) under an initial ammonia stress of 4220 mg N/L were investigated. Results showed that the average specific methane production (SMP) of FW in the ATAS system increased by 36% compared with that in un-acclimated anaerobic sludge. SMP with ISR of 1:2.5 increased by approximately 6 times. Volatile fatty acids (VFAs) accumulation and sharp pH decline were not detected. These results revealed the high performance of ATAS in simultaneously relieving ammonia and acid stress. This improvement was attributed to multiple factors. ATAS had high ammonia tolerance and ability in conversion of acetate into methane. The equilibrium of NH

Indexed as

Refuse DisposalSewageAmmoniaAnaerobiosisBioreactorsFatty Acids, VolatileFoodMethaneAmmoniaFatty Acids, VolatileMethaneSewageAmmonia toleranceAnaerobic fermentationInoculum substrate ratioMethane generationSynergistic effect

Identifiers

PMID33410077

DOI10.1007/s11356-020-11861-2

OpenAlexW3120903227

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.