Multiomics analysis of the Silkworm cocoon shell.

Fragkou P, Martakos I, Rouni G, Vasilakos D, Koutsoukos E, Saviane A, Cappellozza S, Thomaidis NS, Kostakis MG, Samiotaki M, Kotsiantis S, Barcenas M, Dedos SG

Scientific data, 2025

doi:10.1038/s41597-025-06071-9.

Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.

Sharma K, Hansen J, Susztak K, Eberlin L, Anderton CR, Alexandrov T, Iyengar R

Nature reviews. Nephrology, 2025

doi:10.1038/s41581-025-01007-3.

HT SpaceM: A high-throughput and reproducible method for small-molecule single-cell metabolomics.

Delafiori J, Shahraz M, Eisenbarth A, Hilsenstein V, Drotleff B, Bailoni A, Wadie B, Ekelöf M, Mattausch A, Alexandrov T

Cell, 2025

doi:10.1016/j.cell.2025.08.015.

Quantification of Endogenous Steroids and Hormonal Contraceptives in Human Plasma via Surrogate Calibration and UHPLC-MS/MS.

Su M, Drotleff B, Janker T, Bürger Z, Kimmig AS, Derntl B, Lämmerhofer M

Analytical chemistry, 2025

doi:10.1021/acs.analchem.5c01912.

A metabolite-based resistance mechanism against malaria.

Figueiredo A, Rastogi ST, Ramos S, Nogueira F, De Villiers K, de Sousa AGG, Votborg-Novél L, von Wedel C, Tober-Lau P, Jentho E, Pagnotta S, Mesquita M, Cardoso S, Bortolussi G, Muro AF, Tranfield EM, Thibaud J, Duarte D, Sousa AL, Pinto SN, Kitoko J, Mombo-Ngoma G, Mischlinger J, Junttila S, Alenquer M, Amorim MJ, Vasavda C, Bosma PJ, Violante S, Drotleff B, Paixão T, Portugal S, Kurth F, Elo LL, Paul BD, Martins R, Soares MP

Science (New York, N.Y.), 2025

doi:10.1126/science.adq6741.

Evaluation of in vitro pharmacodynamic drug interactions of ceftazidime-avibactam with tigecycline in ESBL- and carbapenemase producing Escherichia coli and Klebsiella pneumoniae.

Farooq A, Drotleff B, Kroemer N, Han ML, Li J, Decousser JW, Schrey D, Buyck J, Grégoire N, Nordmann P, Wicha SG

International journal of antimicrobial agents, 2025

doi:10.1016/j.ijantimicag.2025.107457.

Acidosis overrides molecular heterogeneity to shape therapeutically targetable metabolic phenotypes in colon cancers.

Richiardone E, Giolito MV, Al Roumi R, Ambroise J, Boidot R, Drotleff B, Ghesquière B, Lupo B, Trusolino L, Bardelli A, Arena S, Feron O, Corbet C

Cancer letters, 2025

doi:10.1016/j.canlet.2025.217512.

Bacterial cellulose: Enhancing productivity and material properties through repeated harvest.

Rackov N, Janßen N, Akkache A, Drotleff B, Beyer B, Scoppola E, Vrana NE, Hengge R, Bidan CM, Hathroubi S

Biofilm, 2025

doi:10.1016/j.bioflm.2025.100276.

Structural annotation of full-scan MS data: A unified solution for LC-MS and MS imaging analyses

Xing S, Charron-Lamoureux V, Ekelöf M, El Abiead Y, Yu H, Fiehn O, Alexandrov T, Dorrestein PC

bioRxiv, 2025

doi:10.1101/2024.10.14.618269.

METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning.

Wadie B, Stuart L, Rath CM, Drotleff B, Mamedov S, Alexandrov T

Nature communications, 2024

doi:10.1038/s41467-024-52213-9.

EMBL-MCF 2.0: an LC-MS/MS method and corresponding library for high-confidence targeted and untargeted metabolomics using low-adsorption HILIC chromatography.

Dekina S, Alexandrov T, Drotleff B

Metabolomics : Official journal of the Metabolomic Society, 2024

doi:10.1007/s11306-024-02176-1.

Pig liver cytosolic carboxylesterase 1 and its inhibition by remdesivir and sofosbuvir.

Shesterenko Y, Shesterenko Y, Romanovska I, Semenishyn N, Smola S, Dekina S

ChemistrySelect, 2024

doi:10.1002/slct.202305224.

MCT1-dependent lactate recycling is a metabolic vulnerability in colorectal cancer cells upon acquired resistance to anti-EGFR targeted therapy.

Richiardone E, Al Roumi R, Lardinois F, Giolito MV, Ambroise J, Boidot R, Drotleff B, Ghesquière B, Bellahcène A, Bardelli A, Arena S, Corbet C

Cancer letters, 2024

doi:10.1016/j.canlet.2024.217091.

A call for accessible tools to unlock single-cell immunometabolism research.

Cosgrove J, Marçais A, Hartmann FJ, Bergthaler A, Zanoni I, Corrado M, Perié L, Cabezas-Wallscheid N, Bousso P, Alexandrov T, Kielian T, Martínez-Martín N, Opitz CA, Lyssiotis CA, Argüello RJ, Van den Bossche J

Nature metabolism, 2024

doi:10.1038/s42255-024-01031-w.

Large-scale evaluation of spatial metabolomics protocols and technologies.

Saharuka V, Vieira LM, Stuart L, Ekelöf M, Molenaar MR, Bailoni A, Ovchinnikova K, Soltwisch J, Bausbacher T, Jakob D, King M, Müller MA, Oetjen J, Pace C, Pinto FE, Strittmatter N, Velickovic D, Spengler B, Muddiman DC, Liebeke M, Janfelt C, Goodwin R, Eberlin LS, Anderton CR, Hopf C, Dreisewerd K, Alexandrov T

bioRxiv, 2024

doi:10.1101/2024.01.29.577354.

Molecular profiling of sponge deflation reveals an ancient relaxant-inflammatory response.

Ruperti F, Becher I, Stokkermans A, Wang L, Marschlich N, Potel C, Maus E, Stein F, Drotleff B, Schippers KJ, Nickel M, Prevedel R, Musser JM, Savitski MM, Arendt D

Current biology : CB, 2023

doi:10.1016/j.cub.2023.12.021.

Spatial metabolomics: from a niche field towards a driver of innovation.

Alexandrov T

Nature metabolism, 2023

doi:10.1038/s42255-023-00881-0.

A pathogen-specific isotope tracing approach reveals metabolic activities and fluxes of intracellular Salmonella.

Mitosch K, Beyß M, Phapale P, Drotleff B, Nöh K, Alexandrov T, Patil KR, Typas A

PLoS biology, 2023

doi:10.1371/journal.pbio.3002198.

Platelet miRNAs: differential expression in coronary artery disease and associations with course of left ventricular systolic function.

Goldschmied A, Drotleff B, Winter S, Schaeffeler E, Schwab M, Gawaz M, Geisler T, Rath D

BMC Cardiovascular Disorders, 2023

doi:10.1186/s12872-023-03362-0.

Developmental phenomics suggests that H3K4 monomethylation confers multi-level phenotypic robustness.

Gandara L, Tsai A, Ekelöf M, Galupa R, Preger-Ben Noon E, Alexandrov T, Crocker J

Cell reports, 2022

doi:10.1016/j.celrep.2022.111832.

A heterotypic assembly mechanism regulates CHIP E3 ligase activity.

Das A, Thapa P, Santiago U, Shanmugam N, Banasiak K, Dąbrowska K, Nolte H, Szulc NA, Gathungu RM, Cysewski D, Krüger M, Dadlez M, Nowotny M, Camacho CJ, Hoppe T, Pokrzywa W

The EMBO journal, 2022

doi:10.15252/embj.2021109566.

Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.

Li Y, Kuhn M, Zukowska-Kasprzyk J, Hennrich ML, Kastritis PL, O'Reilly FJ, Phapale P, Beck M, Gavin AC, Bork P

PloS one, 2021

doi:10.1371/journal.pone.0254429.

Quantification reveals early dynamics in Drosophila maternal gradients.

Shlemov A, Alexandrov T, Golyandina N, Holloway D, Baumgartner S, Spirov AV

PloS one, 2021

doi:10.1371/journal.pone.0244701.

Qualitative characterization of the rat liver mitochondrial lipidome using all ion fragmentation on an exactive benchtop Orbitrap MS.

Stavrovskaya IG, Gathungu RM, Bird SS, Kristal BS

Methods in molecular biology (Clifton, N.J.), 2021

doi:10.1007/978-1-0716-1262-0_24.

Rapid automated annotation and analysis of N-glycan mass spectrometry imaging data sets using NGlycDB in METASPACE.

Veličković D, Bečejac T, Mamedov S, Sharma K, Ambalavanan N, Alexandrov T, Anderton CR

Analytical chemistry, 2021

doi:10.1021/acs.analchem.1c02347.

Bioaccumulation of therapeutic drugs by human gut bacteria.

Klünemann M, Andrejev S, Blasche S, Mateus A, Phapale P, Devendran S, Vappiani J, Simon B, Scott TA, Kafkia E, Konstantinidis D, Zirngibl K, Mastrorilli E, Banzhaf M, Mackmull MT, Hövelmann F, Nesme L, Brochado AR, Maier L, Bock T, Periwal V, Kumar M, Kim Y, Tramontano M, Schultz C, Beck M, Hennig J, Zimmermann M, Sévin DC, Cabreiro F, Savitski MM, Bork P, Typas A, Patil KR

Nature, 2021

doi:10.1038/s41586-021-03891-8.

Metabolic decisions in development and disease-a Keystone Symposia report.

Cable J, Pourquié O, Wellen KE, Finley LWS, Aulehla A, Gould AP, Teleman A, Tu WB, Garrett WS, Miguel-Aliaga I, Perrimon N, Hooper LV, Walhout AJM, Wei W, Alexandrov T, Erez A, Ralser M, Rabinowitz JD, Hemalatha A, Gutiérrez-Pérez P, Chandel NS, Rutter J, Locasale JW, Landoni JC, Christofk H

Annals of the New York Academy of Sciences, 2021

doi:10.1111/nyas.14678.

Facilitating imaging mass spectrometry of microbial specialized metabolites with METASPACE.

Nguyen DD, Saharuka V, Kovalev V, Stuart L, Del Prete M, Lubowiecka K, De Mot R, Venturi V, Alexandrov T

Metabolites, 2021

doi:10.3390/metabo11080477.

SpaceM reveals metabolic states of single cells.

Rappez L, Stadler M, Triana S, Gathungu RM, Ovchinnikova K, Phapale P, Heikenwalder M, Alexandrov T

Nature methods, 2021

doi:10.1038/s41592-021-01198-0.

Single-cell transcriptomics reveals immune response of intestinal cell types to viral infection.

Triana S, Stanifer ML, Metz-Zumaran C, Shahraz M, Mukenhirn M, Kee C, Serger C, Koschny R, Ordonez-Rueda D, Paulsen M, Benes V, Boulant S, Alexandrov T

Molecular Systems Biology , 2021

doi:10.15252/msb.20209833.

Single-cell analyses reveal SARS-CoV-2 interference with intrinsic immune response in the human gut.

Triana S, Metz-Zumaran C, Ramirez C, Kee C, Doldan P, Shahraz M, Schraivogel D, Gschwind AR, Sharma AK, Steinmetz LM, Herrmann C, Alexandrov T, Boulant S, Stanifer ML

Molecular systems biology, 2021

doi:10.15252/msb.202110232.

Adaptive pixel mass recalibration for mass spectrometry imaging based on locally endogenous biological signals.

La Rocca R, Kune C, Tiquet M, Stuart L, Eppe G, Alexandrov T, De Pauw E, Quinton L

Analytical chemistry, 2021

doi:10.1021/acs.analchem.0c05071.

Public LC-Orbitrap tandem mass spectral library for metabolite identification.

Phapale P, Palmer A, Gathungu RM, Kale D, Brügger B, Alexandrov T

Journal of proteome research, 2021

doi:10.1021/acs.jproteome.0c00930.

A multimodal and integrated approach to interrogate human kidney biopsies with rigor and reproducibility: guidelines from the kidney precision medicine project.

El-Achkar TM, Eadon MT, Menon R, Lake BB, Sigdel TK, Alexandrov T, Parikh S, Zhang G, Dobib D, Dunn KW, Otto EA, Anderton CR, Carson JM, Luo J, Park C, Hamidi H, Zhou J, Hoover P, Schroeder A, Joanes M, Azeloglu EU, Sealfon R, Winfree S, Steck B, He Y, D'Agati VD, Iyengar R, Troyanskaya OG, Barisoni L, Gaut J, Zhang K, Laszik Z, Rovin B, Dagher PC, Sharma K, Sarwal M, Hodgin JB, Alpers CE, Kretzer M, Jain S, The Kidney Precision Medicine Project F

Physiological genomics, 2020

doi:10.1152/physiolgenomics.00104.2020.

DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks.

Rappez L, Rakhlin A, Rigopoulos A, Nikolenko S, Alexandrov T

Molecular systems biology, 2020

doi:10.15252/msb.20209474.

Feature-based molecular networking in the GNPS analysis environment.

Nothias LF, Petras D, Schmid R, Dührkop K, Rainer J, Sarvepalli A, Protsyuk I, Ernst M, Tsugawa H, Fleischauer M, Aicheler F, Aksenov AA, Alka O, Allard PM, Barsch A, Cachet X Caraballo-Rodriguez AM, Da Silva RR , Dang T, Garg N, Gauglitz JM, Gurevich A, Isaac G, Jarmusch AK, Kameník Z, Kang KB, Kessler N, Koester I, Korf A, Le Gouellec A, Ludwig M, Martin HC, McCall LI, McSayles J, Meyer SW, Mohimani H, Morsy M, Moyone O, Neumann S, Neuweger H, Nguyen NH, Nothias-Esposito M, Paolini J, Phelan VV, Pluskal T, Quinn RA, Rogers S, Shrestha B, Tripathi A, van der Hooft JJJ, Vargas F, Weldon KC, Witting M, Yang H, Zhang Z, Zubeil F, Kohlbacher O, Böcker S, Alexandrov T, Bandeira N, Wang M, Dorrestein PC

Nature methods, 2020

doi:10.1038/s41592-020-0933-6.

Storage conditions of human kidney tissue sections affect spatial lipidomics analysis reproducibility.

Lukowski JK, Pamreddy A, Velickovic D, Zhang G, Pasa-Tolic L, Alexandrov T, Sharma K, Anderton CR, Kidney Precision Medicine Project

Journal of the American Society for Mass Spectrometry, 2020

doi:10.1021/jasms.0c00256.

Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.

Ong E, Wang LL, Schaub J, O'Toole JF, Steck B, Rosenberg AZ, Dowd F, Hansen J, Barisoni L, Jain S, de Boer IH, Valerius MT, Waikar SS, Park C, Crawford DC, Alexandrov T, Anderton CR, Stoeckert C, Weng C, Diehl AD, Mungall CJ, Haendel M, Robinson PN, Himmelfarb J, Iyengar R, Kretzler M, Mooney S, He Y, Kidney Precision Medicine Project

Nature reviews. Nephrology, 2020

doi:10.1038/s41581-020-00335-w.

Life time and improving European healthcare through cell-based interceptive medicine.

Rajewsky N, Almouzni G, Gorski SA, Aerts S, Amit I, Bertero MG, Bock C, Bredenoord AL, Cavalli G, Chiocca S, Clevers H, De Strooper B, Eggert A, Ellenberg J, Fernández XM, Figlerowicz M, Gasser SM, Hubner N, Kjems J, Knoblich JA, Krabbe G, Lichter P, Linnarsson S, Marine JC, Marioni J, Marti-Renom MA, Netea MG, Nickel D, Nollmann M, Novak HR, Parkinson H, Piccolo S, Pinheiro I, Pombo A, Popp C, Reik W, Roman-Roman S, Rosenstiel P, Schultze JL, Stegle O, Tanay A, Testa G, Thanos D, Theis FJ, Torres-Padilla ME, Valencia A, Vallot C, van Oudenaarden A, Vidal M, Voet T

Nature, 2020

doi:10.1038/s41586-020-2715-9.

Untargeted metabolomics workshop report: quality control considerations from sample preparation to data analysis.

Phapale P, Rai V, Mohanty AK, Srivastava S

Journal of the American Society for Mass Spectrometry, 2020

doi:10.1021/jasms.0c00224.

Spatial metabolomics and imaging mass spectrometry in the age of artificial intelligence.

Alexandrov T

Annual review of biomedical data science, 2020

doi:10.1146/annurev-biodatasci-011420-031537.

Critical role of type III interferon in controlling SARS-CoV-2 infection in human intestinal epithelial cells.

Stanifer ML, Kee C, Cortese M, Zumaran CM, Triana S, Mukenhirn M, Kraeusslich HG, Alexandrov T, Bartenschlager R, Boulant S

Cell reports, 2020

doi:10.1016/j.celrep.2020.107863.

Probing metabolism in time and space.

Alexandrov T

Science (New York, N.Y.), 2020

doi:10.1126/science.abb3094.

OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images.

Ovchinnikova K, Kovalev V, Stuart L, Alexandrov T

BMC bioinformatics, 2020

doi:10.1186/s12859-020-3425-x.

Response surface methodology as a new approach for finding optimal MALDI matrix spraying parameters for mass spectrometry imaging.

Veličković D, Zhang G, Bezbradica D, Bhattacharjee A, Paša-Tolić L, Sharma K, Alexandrov T, Anderton CR, Anderton CR

Journal of the American Society for Mass Spectrometry, 2020

doi:10.1021/jasms.9b00074.

DESI-MSI and METASPACE indicates lipid abnormalities and altered mitochondrial membrane components in diabetic renal proximal tubules.

Zhang G, Zhang J, DeHoog RJ, Pennathur S, Anderton CR, Venkatachalam MA, Alexandrov T, Eberlin LS, Sharma K

Metabolomics : Official journal of the Metabolomic Society, 2020

doi:10.1007/s11306-020-1637-8.

PySpacell: a python package for spatial analysis of cell images.

Rose F, Rappez L, Triana SH, Alexandrov T, Genovesio A

2019

doi:10.1002/cyto.a.23955.

Molecular and microbial microenvironments in chronically diseased lungs associated with cystic fibrosis.

Melnik AV, Vázquez-Baeza Y, Aksenov AA, Hyde E, McAvoy AC, Wang M, da Silva RR, Protsyuk I, Wu JV, Bouslimani A, Lim YW, Luzzatto-Knaan T, Comstock W, Quinn RA, Wong R, Ackermann G, Humphrey G, Brouha SS, Spivey T, Lin GY, Bandeira N, Conrad DJ, Rohwer F, Knight R, Alexandrov T, Garg N, Dorrestein PC

mSystems, 2019

doi:10.1128/mSystems.00375-19.

GPD1 specifically marks dormant glioma stem cells with a distinct metabolic profile.

Rusu P, Shao C, Neuerburg A, Acikgöz AA, Wu Y, Zou P, Phapale P, Shankar TS, Döring K, Dettling S, Körkel-Qu H, Bekki G, Costa B, Guo T, Friesen O, Schlotter M, Heikenwalder M, Tschaharganeh DF, Bukau B, Kramer G, Angel P, Herold-Mende C, Radlwimmer B, Liu HK

Cell Stem Cell, 2019

doi:10.1016/j.stem.2019.06.004.

ColocAI: artificial intelligence approach to quantify co-localization between mass spectrometry images.

Katja Ovchinnikova, Alexander Rakhlin, Lachlan Stuart, Sergey Nikolenko, Theodore Alexandrov

2019

doi:10.1101/758425.

Recognizing off-sample mass spectrometry images with machine and deep learning.

Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov

2019

doi:10.1101/518977.

Spatial single-cell profiling of intracellular metabolomes in situ.

Rappez L, Stadler M, Triana S, Phapale P, Heikenwalder M, Alexandrov T

biorxiv, 2019

doi:10.1101/510222.

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease.

Theodore Alexandrov, Katja Ovchnnikova, Andrew Palmer, Vitaly Kovalev, Artem Tarasov, Lachlan Stuart, Renat Nigmetzianov, Dominik Fay, Key METASPACE Contributors

2019

doi:10.1101/539478.

Endogenous fatty acids are essential signaling factors of pancreatic β-cells and insulin secretion.

Hauke S, Keutler K, Phapale P, Yushchenko DA, Schultz C

Diabetes, 2018

doi:10.2337/db17-1215.

Bioactivity-based molecular networking for the discovery of drug leads in natural product bioassay-guided fractionation.

Nothias LF, Nothias-Esposito M, da Silva R, Wang M, Protsyuk I, Zhang Z, Sarvepalli A, Leyssen P, Touboul D, Costa J, Paolini J, Alexandrov T, Litaudon M, Dorrestein PC

Journal of natural products, 2018

doi:10.1021/acs.jnatprod.7b00737.

Creating a 3D microbial and chemical snapshot of a human habitat.

Kapono CA, Morton JT, Bouslimani A, Melnik AV, Orlinsky K, Knaan TL, Garg N, Vázquez-Baeza Y, Protsyuk I, Janssen S, Zhu Q, Alexandrov T, Smarr L, Knight R, Dorrestein PC

Scientific reports, 2018

doi:10.1038/s41598-018-21541-4.

3D molecular cartography using LC-MS facilitated by Optimus and 'ili software.

Protsyuk I, Melnik AV, Nothias LF, Rappez L, Phapale P, Aksenov AA, Bouslimani A, Ryazanov S, Dorrestein PC, Alexandrov T

Nature protocols, 2018

doi:10.1038/nprot.2017.122.

Curatr: a web application for creating, curating, and sharing a mass spectral library.

Palmer A, Phapale P, Fay D, Alexandrov T

Bioinformatics , 2017

doi:10.1093/bioinformatics/btx786.

Meta-mass shift chemical profiling of metabolomes from coral reefs.

Hartmann AC, Petras D, Quinn RA, Protsyuk I, Archer FI, Ransome E, Williams GJ, Bailey BA, Vermeij MJA, Alexandrov T, Dorrestein PC, Rohwer FL

Proceedings of the National Academy of Sciences of the United States of America, 2017

doi:10.1073/pnas.1710248114.

Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition.

Lotz JM, Hoffmann F, Lotz J, Heldmann S, Trede D, Oetjen J, Becker M, Ernst G, Maas P, Alexandrov T, Guntinas-Lichius O, Thiele H, von Eggeling F

Biochimica et biophysica acta, 2017

doi:10.1016/j.bbapap.2016.08.018.

Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae.

Luzzatto Knaan T, Garg N, Wang M, Glukhov E, Peng Y, Ackermann G, Amir A, Duggan BM, Ryazanov S, Gerwick L, Knight R, Alexandrov T, Bandeira N, Gerwick WH, Dorrestein PC

eLife, 2017

doi:10.7554/eLife.24214.

FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry.

Palmer A, Phapale P, Chernyavsky I, Lavigne R, Fay D, Tarasov A, Kovalev V, Fuchser J, Nikolenko S, Pineau C, Becker M, Alexandrov T

Nature methods, 2017

doi:10.1038/nmeth.4072.

Spatial Molecular Architecture of the Microbial Community of a Peltigera Lichen.

Garg N, Zeng Y, Edlund A, Melnik AV, Sanchez LM, Mohimani H, Gurevich A, Miao V, Schiffler S, Lim YW, Luzzatto-Knaan T, Cai S, Rohwer F, Pevzner PA, Cichewicz RH, Alexandrov T, Dorrestein PC

mSystems, 2016

doi:10.1128/msystems.00139-16.

Data for spatial analysis of growth anomaly lesions on Montipora capitata coral colonies using 3D reconstruction techniques.

Burns JHR, Alexandrov T, Ovchinnikova K, Gates RD, Takabayashi M

Data in Brief, 2016

doi:10.1016/j.dib.2016.09.009.

An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments.

Oetjen J, Lachmund D, Palmer A, Alexandrov T, Becker M, Boskamp T, Maass P

Analytical and bioanalytical chemistry, 2016

doi:10.1007/s00216-016-9793-4.