Evidence map›Paper›PMID 41200412›Full record

ReviewGMS hygiene and infection control2025

Comparative evaluation of contemporary ultraviolet-C disinfection technologies: UVCeed as a benchmark for smart, portable, and effective pathogen control.

Mitchell K Ng, Michael A Mont

Abstract readReview
In one paragraph

Review in GMS hygiene and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Mitchell K NgDepartment of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
Michael A MontDepartment of Orthopaedic Surgery, The Rubin Institute for Advanced Orthopedics, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface disinfection remains a cornerstone of infection prevention across healthcare, commercial, and residential settings. While chemical disinfectants especially quaternary ammonium compounds (QACs) have long been standard, growing concerns regarding toxicity, environmental persistence, and inconsistent application have highlighted the need for safer, more reliable alternatives. Ultraviolet-C (UV-C) light offers a non-chemical, residue-free method of pathogen inactivation, but the performance of commercially available UV-C devices varies widely due to differences in design, output, and user reliance. This review evaluates the current spectrum of UV-C disinfection technologies - including handheld wands, mobile robots, static enclosures, HVAC (heating, ventilation and air conditioning)-integrated systems, and ceiling-mounted units - emphasizing their strengths, limitations, and ideal use cases. Among these, the UVCeed mobile UV-C disinfection device emerges as a next-generation solution, leveraging artificial intelligence, augmented reality, and automated dosing to deliver hospital-grade pathogen reduction with unmatched portability, safety, and ease of use. Independently validated to achieve >6-lg reductions of bacterial pathogens and >4-lg reductions of viral surrogates in under one minute. UVCeed offers a scalable, cost-effective, and intelligent alternative to traditional disinfection tools. This paper positions UVCeed as the benchmark for modern, accessible, and effective surface decontamination in an increasingly hygiene-conscious world.

Indexed as

chemical disinfectionhandheld wandsHVAC systemsultraviolet (UV)UV-C technologywater disinfection

Identifiers

PMID41200412
PMCPMC12587268

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.