Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry



+44 (0)20 7594 3195j.nicholson Website




Ms Wendy Torto +44 (0)20 7594 3225




Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus






BibTex format

author = {Gray, N and Adesina-Georgiadis, K and Chekmeneva, E and Plumb, RS and Wilson, ID and Nicholson, JK},
doi = {10.1021/acs.analchem.6b00038},
journal = {Analytical Chemistry},
pages = {5742--5751},
title = {Development of a Rapid Microbore Metabolic Profiling (RAMMP) UPLC-MS Approach for High-Throughput Phenotyping Studies.},
url = {},
volume = {88},
year = {2016}

RIS format (EndNote, RefMan)

AB - A rapid gradient microbore UPLC-MS method has been developed to provide a high-throughput analytical platform for the metabolic phenotyping of urine from large sample cohorts. The rapid microbore metabolic profiling (RAMMP) approach was based on scaling a conventional reversed-phase UPLC-MS method for urinary profiling from 2.1 x 100 mm columns to 1 x 50 mm columns, increasing the linear velocity of the solvent, and decreasing the gradient time to provide an analysis time of 2.5 min/sample. Comparison showed that conventional UPLC-MS and rapid gradient approaches provided peak capacities of 150 and 50 respectively, with the conventional method detecting approximately 19,000 features compared to the ca. 6000 found using the rapid gradient method. Similar levels of repeatability were seen for both methods. Despite the reduced peak capacity and the reduction in ions detected, the RAMMP method was able to achieve similar levels of group discrimination as conventional UPLC-MS when applied to rat urine samples obtained from investigative studies on the effects of acute 2-bromophenol and chronic acetaminophen administration. When compared to a direct infusion MS method of similar analysis time the RAMMP method provided superior selectivity. The RAMMP approach provides a robust and sensitive method that is well suited to high-throughput metabonomic analysis of complex mixtures such as urine combined with a five fold reduction in analysis time compared with the conventional UPLC-MS method.
AU - Gray,N
AU - Adesina-Georgiadis,K
AU - Chekmeneva,E
AU - Plumb,RS
AU - Wilson,ID
AU - Nicholson,JK
DO - 10.1021/acs.analchem.6b00038
EP - 5751
PY - 2016///
SN - 0003-2700
SP - 5742
TI - Development of a Rapid Microbore Metabolic Profiling (RAMMP) UPLC-MS Approach for High-Throughput Phenotyping Studies.
T2 - Analytical Chemistry
UR -
UR -
VL - 88
ER -