Evidence map›Paper›PMID 38656090›Full record

ArticleBioresources and bioprocessing2021

Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production.

Chen Yang, Chen Lingli, Guo Meijin, Li Xu, Liu Jinsong, Liu Xiaofeng, Chen Zhongbing, Tian Xiaojun, Zheng Haoyue, Tian Xiwei and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioresources and bioprocessing, 2021. 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. Review
  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

12 authors.

Chen YangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.
Chen LingliState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.
Guo MeijinState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.
Li XuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China. xli@ecust.edu.cn.
Liu JinsongSDIC Biotech Investment Co. Ltd, Beijing, 100000, China.
Liu XiaofengSDIC Bioenergy Co. Ltd, Liaoning, 110000, China.
Chen ZhongbingZhejiang Biok Co.Ltd, Zhejiang, 310000, China.
Tian XiaojunSDIC Biotech Investment Co. Ltd, Beijing, 100000, China.
Zheng HaoyueSDIC Biotech Investment Co. Ltd, Beijing, 100000, China.
Tian XiweiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China. tahfy@163.com.ORCID http://orcid.org/0000-0003-2157-0427
Chu JuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.
Zhuang YingpingState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. box 329, Shanghai, 200237, People's Republic of China.

Funding

the Fundamental Research Funds for the Central Universities WF01211708the National Key Research and Development Program 2017YFB0309302the National Science Foundation for Young Scientists of China 31700038
6 · The paper itself

Abstract

The fermentation process is dynamically changing, and the metabolic status can be grasped through real-time monitoring of environmental parameters. In this study, a real-time and on-line monitoring experiment platform for substrates and products detection was developed based on non-contact type near-infrared (NIR) spectroscopy technology. The prediction models for monitoring the fermentation process of lactic acid, sophorolipids (SLs) and sodium gluconate (SG) were established based on partial least-squares regression and internal cross-validation methods. Through fermentation verification, the accuracy and precision of the NIR model for the complex fermentation environments, different rheological properties (uniform system and multi-phase inhomogeneous system) and different parameter types (substrate, product and nutrients) have good applicability, and R

Indexed as

Lactic acidNear-infrared spectroscopyOn-lineSodium gluconateSophorolipids

Identifiers

PMID38656090
PMCPMC11368886

What OpenQuestion holds

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LicenceCC BY
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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.