ReviewiScience2026
A VOC-centric web of biological interaction on corpse: Consideration for forensic PMI estimation.
Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review proposes a novel volatile organic compound (VOC)-centric biological interaction network that integrates microbial community succession, insect colonization patterns, and dynamic VOC profiles. This framework transcends traditional single-factor analyses to enhance postmortem interval (PMI) prediction accuracy. VOCs serve as critical chemical mediators, orchestrating microbial-insect interactions by modulating insect behavior and succession patterns. Through stage-specific analysis of VOC evolution and cross-correlation between microbial shifts and insect colonization, we established a "insect-VOCs-MCs" timeline model that maps temporal interdependencies among the three factors. Combined analysis of these elements compensates for the limitations of individual characteristics, improving PMI estimation accuracy. This framework emphasizes the integrative value of multidisciplinary data-forensic microbiology, entomology, and chemical analytics-and advances decomposition science from a holistic, systems-level perspective.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.