Evidence map›Paper›PMID 27070614›Full record

ArticleSensors (Basel, Switzerland)2016

A Low Cost Compact Measurement System Constructed Using a Smart Electrochemical Sensor for the Real-Time Discrimination of Fruit Ripening.

Liuzheng Ma, Ling Wang, Ruipeng Chen, Keke Chang, Shun Wang, Xinran Hu, Xiaohui Sun, Zhaohui Lu, Haifeng Sun, Qingqian Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Fruit Quality Monitoring with Smart Packaging.Sensors (Basel, Switzerland) · 2021
    Review
  7. Review
  8. A Smart Rig for Calibration of Gas Sensor Nodes.Sensors (Basel, Switzerland) · 2020
    Article
  9. 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 at 2 institutions in 2 countries.

Liuzheng MaDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. mlz0124@126.com.
Ling WangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. wangling0351@126.com.
Ruipeng ChenDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. chen_ruipeng@yeah.net.
Keke ChangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. changkeke927@163.com.
Shun WangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. wangshun6518@163.com.
Xinran HuSchool of Human Nutrition and Dietetics, McGill University, Macdonald Campus, 21, 111 Lakeshore Road, Ste Anne de Bellevue, QC H9X 3V9, Canada. xinran.hu@mail.mcgill.ca.
Xiaohui SunDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. xiaohuosun89@163.com.
Zhaohui LuDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. zhaohuilulu@163.com.
Haifeng SunDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. haifengdreams@sina.cn.
Qingqian GuoDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. guo_qingqian@163.com.
Min JiangCollege of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China. jm_hu@163.com.
Jiandong HuDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China. jdhu@henau.edu.cn.
Henan Agricultural University · CNMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethylene as an indicator for evaluating fruit ripening can be measured by very sensitive electrochemical gas sensors based on a high-resolution current produced by a bias potential applied to the electrodes. For this purpose, a measurement system for monitoring ethylene gas concentrations to evaluate fruit ripening by using the electrochemical ethylene sensor was successfully developed. Before the electrochemical ethylene sensor was used to measure the ethylene gas concentrations released from fruits, a calibration curve was established by the standard ethylene gases at concentrations of 2.99 ppm, 4.99 ppm, 8.01 ppm and 10 ppm, respectively, with a flow rate of 0.4 L·min(-1). From the calibration curve, the linear relationship between the responses and concentrations of ethylene gas was obtained in the range of 0-10 ppm with the correlation coefficient R² of 0.9976. The micropump and a novel signal conditioning circuit were implemented in this measurement, resulting in a rapid response in detecting ethylene concentrations down to 0.1 ppm in air and in under 50 s. In this experiment, three kinds of fruits-apples, pears and kiwifruits-were studied at a low concentration (under 0.8 ppm) of trace ethylene content in the air exhaled by fruits. The experimental results showed that a low cost, compact measurement system constructed by using an electrochemical ethylene sensor has a high sensitivity of 0.3907 V·ppm(-1) with a theoretical detection limit of 0.413 ppm, and is non-invasive and highly portable.

Indexed as

Biosensing TechniquesElectrochemical TechniquesEthylenesFruitGasesLimit of DetectionethyleneEthylenesGaseselectrochemical sensorethylene gasfruit ripeningmicropumpnon-invasive

Identifiers

PMID27070614
PMCPMC4851015
OpenAlexW2313709582

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.