Evidence map›Paper›PMID 35190119›Full record

ArticleAnalytica chimica acta2022

Analyte recovery in LC-MS/MS bioanalysis: An old issue revisited.

Devendra Kumar, Nagsen Gautam, Yazen Alnouti

Abstract read
In one paragraph

Article in Analytica chimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. MoNanoscale advances · 2026
    Article
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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

3 authors.

Devendra KumarDepartment of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE, 68198, USA. Electronic address: devendra.kumar@unmc.edu.
Nagsen GautamDepartment of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE, 68198, USA. Electronic address: ngautam@arrowheadpharma.com.
Yazen AlnoutiDepartment of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE, 68198, USA. Electronic address: yalnouti@unmc.edu.

Funding

Pharmacokinetics and Drug-Drug InteractionsP01DA028555 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ALNOUTI, YAZEN · 2010 to 2019
$16.8M
NIDA NIH HHS P01 DA028555
6 · The paper itself

Abstract

There are several challenges associated with LC-MS/MS bioanalytical method development and validation. Low and variable recovery of some analytes, especially the more hydrophobic ones, is often challenging. Analytes can be lost to various extents throughout the process of sample collection, storage, before, during, and/or after sample preparation and analysis. The calculation of overall extraction recovery can detect problems of low recovery during sample preparation but does not identify the source(s) of analyte losses. Low overall analyte recovery is the net result of losses that can happen for multiple reasons at all steps of sample preparation and analysis. Therefore, identifying the source(s) of analyte loss during sample preparation can help guide the optimization the bioanalysis conditions to minimize these losses. In this article we propose a practical protocol to systematically identify and quantify the sources of low analyte recovery. This allows the proper choice of strategies to optimize the relevant bioanalytical conditions to minimize analyte losses and improve overall recovery.

Indexed as

Specimen HandlingTandem Mass SpectrometryChromatography, LiquidBioanalytical methodLC-MS/MSMatrix effectRecovery

Identifiers

PMID35190119
PMCPMC8864627

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Registered trials

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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.