Evidence map›Paper›PMID 28387704›Full record

ArticleSensors (Basel, Switzerland)2017

Quantitative Detection of NADH Using a Novel Enzyme-Assisted Method Based on Surface-Enhanced Raman Scattering.

Haiyan Teng, Mingyang Lv, Luo Liu, Xin Zhang, Yongmei Zhao, Zhenglong Wu, Haijun Xu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 1 country.

Haiyan TengBeijing Key Laboratory of Bioprocess, Beijing University of Chemical Technology, Beijing 100029, China. 15117955455@163.com.
Mingyang LvBeijing Key Laboratory of Bioprocess, Beijing University of Chemical Technology, Beijing 100029, China. lvmy1991@163.com.
Luo LiuBeijing Key Laboratory of Bioprocess, Beijing University of Chemical Technology, Beijing 100029, China. liuluo@mail.buct.edu.cn.
Xin ZhangBeijing Key Laboratory of Bioprocess, Beijing University of Chemical Technology, Beijing 100029, China. zhxin@mail.buct.edu.cn.
Yongmei ZhaoEngineering Research Center for Semiconductor Integrated Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China. ymzhao@semi.ac.cn.
Zhenglong WuAnalytical and Testing Center, Beijing Normal University, Beijing 100875, China. wuzl@bnu.edu.cn.
Haijun XuBeijing Key Laboratory of Bioprocess, Beijing University of Chemical Technology, Beijing 100029, China. hjxu@mail.buct.edu.cn.
Beijing University of Chemical Technology · CNBeijing Normal University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An enzymatic method for quantitative detection of the reduced form of nicotinamide-adenine dinucleotide (NADH) using surface-enhanced Raman scattering was developed. Under the action of NADH oxidase and horseradish peroxidase, NADH can generate hydrogen peroxide (H₂O₂) in a 1:1 molar ratio, and the H₂O₂ can oxidize a chromogen into pigment with a 1:1 molar ratio. Therefore, the concentration of NADH can be determined by detecting the generated pigment. In our experiments, eight chromogens were studied, and o-tolidine (OT) was selected because of the unique Raman peaks displayed by its corresponding pigment. The optimal OT concentration was 2 × 10

Indexed as

enzyme-assistedNADHquantitative detectionsurface enhanced Raman scattering

Identifiers

PMID28387704
PMCPMC5422061
OpenAlexW2604224998

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.