ArticleNPJ science of food2026
A novel LC-MS/MS multi-group method for simultaneous determination of antimicrobial residues in legume-based alternative proteins.
Article in NPJ science of food, 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
10 authors.
Funding
Abstract
A novel liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated for the simultaneous analysis of three different classes of veterinary drugs-antibiotics, antifungals, and antiparasitics-in legume-based alternative protein samples, e.g. beans, peas, and nuts. The sample preparation process utilized a modified dilute-and-shoot (DnS) technique, achieving recoveries ranging from 72.08 to 108.11% for 18 of the 26 target analytes. The method demonstrated excellent repeatability (n = 12) with relative standard deviations (RSD) between 1.39 and 9.26%, and intermediate precision (over three days, n = 18) ranging from 5.76 to 19.94%. Limits of detection (LOD) and quantification (LOQ) ranged from 0.04 to 15.64 ng.g
Identifiers
What OpenQuestion 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 OpenQuestion graph.