Evidence map›Paper›PMID 42895582›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Evaluating microgen GN A + B-ID versus API 20E for the identification of Salmonella spp. in food.

Xiaojuan Yang, Shuzhen Cai, Jiahui Huang, Tingting Liu, Chengsi Li

Abstract readEvaluation StudyComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

5 authors.

Xiaojuan YangState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China. youngxj@126.com.ORCID http://orcid.org/0009-0007-7365-5234
Shuzhen CaiState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Jiahui HuangState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Tingting LiuFood and Drug Laboratory, Guangdong Detection Center of Microbiology, Guangzhou, China.
Chengsi LiState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Safety and Health, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Key Laboratory of Big Data Technologies for Food Microbiological Safety, State Administration for Market Regulation, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.

Funding

Natural Science Foundation of Guangdong Province 2025A1515011731
6 · The paper itself

Abstract

This study assessed the performance of the Microgen GN A + B-ID system for identifying Salmonella spp. by comparing it with the API 20E method using 284 strains isolated from food. All 284 strains were identified as Salmonella spp. by both systems, showing perfect genus-level concordance. However, in 21 strains (7.4%), the Microgen GN A + B-ID system showed biochemical reaction profiles that differed from those obtained with API 20E. Further investigation using conventional biochemical methods indicated that these discrepancies were associated with the GN B strip, a complementary component of the system designed to assess additional biochemical reactions, which showed false-negative results for inositol, rhamnose, and sorbitol, and a false-positive result for arginine. In this study, the Microgen GN A + B-ID system showed genus-level identification performance comparable to that of API 20E. The GN A strip alone proved sufficient for genus-level identification, whereas combining it with the GN B strip provides more comprehensive biochemical data but requires careful interpretation due to the risk of discrepant reactions in specific tests.

Indexed as

Bacterial Typing TechniquesFood MicrobiologySalmonellaAPI 20EFoodIdentificationMicrogen GN A + B-IDSalmonella spp.

Identifiers

PMID42895582
PMCPMC13680312

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