Evidence map›Paper›PMID 25686315›Full record

ArticleSensors (Basel, Switzerland)2015

Development of an immunochromatographic strip for rapid detection of Pantoea stewartii subsp. stewartii.

Min Feng, Dezhao Kong, Wenbing Wang, Liqiang Liu, Shanshan Song, Chuanlai Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Microbial Nanoparticles in Biological Plant Protection.International journal of molecular sciences · 2025
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Rapid and sensitive detection ofAnnals of translational medicine · 2019
    Article
  7. Pest categorisation ofEFSA journal. European Food Safety Authority · 2018
    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

6 authors.

Min FengHuaian Entry-Exit Inspection and Quarantine Bureau, Huaian 223001, China. fm_8228@163.com.
Dezhao KongState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. kdz19900910@163.com.
Wenbing WangState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. wenbin66@yeah.net.
Liqiang LiuState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. raxray@gmail.com.
Shanshan SongState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. songshanshan0626@126.com.
Chuanlai XuState Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China. xcl@jiangnan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid, simple, sensitive, and specific immunochromatographic test strip was developed for the detection of Pantoea stewartii subsp. stewartii (Pss) in corn seed which was soaked overnight and then centrifuged for precipitate re-dissolved as samples. A pair of sensitive monoclonal antibodies for the immunochromatographic test strip was generated by mice immunization and cell fusion. Under optimized conditions, the lower detection limit of the strips for Pss was 1 × 10(5) cfu/mL both in 0.01 M phosphate buffer solution and corn seed samples, with no cross-reactivity with other common plant pathogens. The developed strip is useful and rapid for the detection of Pss in corn seed samples.

Indexed as

AnimalsImmunoassayMicePantoeaZea mays

Identifiers

PMID25686315
PMCPMC4367412

What OpenQuestion holds

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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.