NSPOMdb: a curated dataset of the objectionable microorganisms of non-sterile products

Microbial contamination in non-sterile products (NSPs) presents significant risks to product quality and patient safety. While established regulatory standards delineate specific objectionable microorganisms (OMs), instances of product recalls have revealed broader contaminants requiring examination. Existing pharmacopeial guidelines address a limited number of test organisms, highlighting deficiencies in risk assessment practices. We present the Non-Sterile Product Objectionable Microorganism Dataset (NSPOMdb), which integrates recall data, microbiological characteristics, and risk analysis tools to facilitate the identification and evaluation of potential OMs. This dataset encompasses 1,360 NSP historical recall events and presents a curated list of 89 potential OMs. Each OM entry includes comprehensive annotations on morphological, physiological, biochemical, genomic, and risk-related features. Genomic analysis of 39,626 OM sequences revealed widespread resistance and virulence genes among common contaminants. Furthermore, NSPOMdb provides an online tool ARG-VFG-finder for predicting antimicrobial resistance and virulence genes. NSPOMdb offers a practical framework for improving microbial risk management in the NSP industry.

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Journal
Scientific Data
Published
2025-12-02
DOI
https://doi.org/10.1038/s41597-025-06370-1
Primary Topic
Antimicrobial agents and applications
Type
article
Field-Weighted Citation Impact
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article

NSPOMdb: a curated dataset of the objectionable microorganisms of non-sterile products

Hong Shao, Cui Tai, Yanxiang Shen, Yangtai Liu et al.
Scientific Data
Antimicrobial agents and applications
article

NSPOMdb: a curated dataset of the objectionable microorganisms of non-sterile products

Hong Shao, Cui Tai, Yanxiang Shen, Yangtai Liu, Hong‐Yu Ou, Yang MeiCheng, Yiling Fan, Minghui Song, Wenxing Zhu
article en

Abstract

Microbial contamination in non-sterile products (NSPs) presents significant risks to product quality and patient safety. While established regulatory standards delineate specific objectionable microorganisms (OMs), instances of product recalls have revealed broader contaminants requiring examination. Existing pharmacopeial guidelines address a limited number of test organisms, highlighting deficiencies in risk assessment practices. We present the Non-Sterile Product Objectionable Microorganism Dataset (NSPOMdb), which integrates recall data, microbiological characteristics, and risk analysis tools to facilitate the identification and evaluation of potential OMs. This dataset encompasses 1,360 NSP historical recall events and presents a curated list of 89 potential OMs. Each OM entry includes comprehensive annotations on morphological, physiological, biochemical, genomic, and risk-related features. Genomic analysis of 39,626 OM sequences revealed widespread resistance and virulence genes among common contaminants. Furthermore, NSPOMdb provides an online tool ARG-VFG-finder for predicting antimicrobial resistance and virulence genes. NSPOMdb offers a practical framework for improving microbial risk management in the NSP industry.

Scientific DataVol. 13(1)
University of Shanghai for Science and Technology (CN), Shanghai Jiao Tong University (CN), ZheJiang Institute For Food and Drug Control (CN), Shanghai Institute of Quality Inspection and Technical Research (CN)
Openalex Percentile: Top 71%
Antimicrobial agents and applications
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