Name:
Adduct:
Polarity:
Z:
m/z:
±:
CCS: Å2
±: %
SMI:
Type:

Make a CSV file containing information about your queries.
Then upload the CSV file below and click on "Make Queries" to view the results online
and click "Download Results" to download the entire results in one excel file.
An example of the CSV file can be found below

Download Example CSV


**Make sure the header column names are as follows**

...



Upload a CSV file

1
May, J. C. et al. Conformational Ordering of Biomolecules in the Gas Phase: Nitrogen Collision Cross Sections Measured on a Prototype High Resolution Drift Tube Ion Mobility-Mass Spectrometer. Anal. Chem. 86, 2107–2116 (2014).


2
Paglia, G. et al. Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications. Anal. Chem. 86, 3985–3993 (2014).


3
Groessl, M., Graf, S. & Knochenmuss, R. High resolution ion mobility-mass spectrometry for separation and identification of isomeric lipids. Analyst 140, 6904–6911 (2015).


4
Zhou, Z., Shen, X., Tu, J. & Zhu, Z.-J. Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility-Mass Spectrometry. Anal. Chem. 88, 11084–11091 (2016).


5
Hines, K. M., Herron, J. & Xu, L. Assessment of altered lipid homeostasis by HILIC-ion mobility-mass spectrometry-based lipidomics. The Journal of Lipid Research 58, 809–819 (2017).


6
Bijlsma, L. et al. Prediction of Collision Cross-Section Values for Small Molecules: Application to Pesticide Residue Analysis. Anal. Chem. 89, 6583–6589 (2017).


7
Hines, K. M., Ross, D. H., Davidson, K. L., Bush, M. F. & Xu, L. Large-Scale Structural Characterization of Drug and Drug-Like Compounds by High-Throughput Ion Mobility-Mass Spectrometry. Anal. Chem. 89, 9023–9030 (2017).


8
Stow, S. M. et al. An Interlaboratory Evaluation of Drift Tube Ion Mobility–Mass Spectrometry Collision Cross Section Measurements. Anal. Chem. 89, 9048–9055 (2017).


9
Zhou, Z., Tu, J., Xiong, X., Shen, X. & Zhu, Z.-J. LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision To Support Ion Mobility–Mass Spectrometry-Based Lipidomics. Anal. Chem. 89, 9559–9566 (2017).


10
Zheng, X. et al. A structural examination and collision cross section database for over 500 metabolites and xenobiotics using drift tube ion mobility spectrometry. Chem. Sci. 8, 7724–7736 (2017).


11
Hines, K. M. et al. Characterization of the Mechanisms of Daptomycin Resistance among Gram-Positive Bacterial Pathogens by Multidimensional Lipidomics. mSphere 2, 99–16 (2017).


12
Lian, R. et al. Ion mobility derived collision cross section as an additional measure to support the rapid analysis of abused drugs and toxic compounds using electrospray ion mobility time-of-flight mass spectrometry. Anal. Methods 10, 749–756 (2018).


13
Mollerup, C. B., Mardal, M., Dalsgaard, P. W., Linnet, K. & Barron, L. P. Prediction of collision cross section and retention time for broad scope screening in gradient reversed-phase liquid chromatography-ion mobility-high resolution accurate mass spectrometry. Journal of Chromatography A 1542, 82–88 (2018).


14
Righetti, L. et al. Ion mobility-derived collision cross section database: Application to mycotoxin analysis. Analytica Chimica Acta 1014, 50–57 (2018).


15
Tejada-Casado, C. et al. Collision cross section (CCS) as a complementary parameter to characterize human and veterinary drugs. Analytica Chimica Acta 1043, 52–63 (2018).


16
Nichols, C. M. et al. Untargeted Molecular Discovery in Primary Metabolism: Collision Cross Section as a Molecular Descriptor in Ion Mobility-Mass Spectrometry. Anal. Chem. 90, 14484–14492 (2018).


17
Hines, K. M. & Xu, L. Lipidomic consequences of phospholipid synthesis defects in Escherichia coli revealed by HILIC-ion mobility-mass spectrometry. Chemistry and Physics of Lipids 219, 15–22 (2019).


18
Leaptrot, K. L., May, J. C., Dodds, J. N. & McLean, J. A. Ion mobility conformational lipid atlas for high confidence lipidomics. Nature Communications 1–9 (2019).


19
Blaženović, I. et al. Increasing Compound Identification Rates in Untargeted Lipidomics Research with Liquid Chromatography Drift Time–Ion Mobility Mass Spectrometry. Anal. Chem. 90, 10758–10764 (2018).


20
Vasilopoulou, C. G. et al. Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts. Nature Communications 1–11 (2020).


21
Tsugawa, H. et al. MS-DIAL 4: accelerating lipidomics using an MS/MS, CCS, and retention time atlas. bioRxiv 37, 513 (2020).


22
Poland, J. C. et al. Collision Cross Section Conformational Analyses of Bile Acids via Ion Mobility–Mass Spectrometry. Journal of the American Society for Mass Spectrometry 31, 1625–1631 (2020).


23
Dodds, J. et al. Rapid Characterization of Per- and Polyfluoroalkyl Substances (PFAS) by Ion Mobility Spectrometry−Mass Spectrometry (IMS-MS). Anal. Chem. 92, 4427-4435 (2020).


24
Celma, A. et al. Improving Target and Suspect Screening High-Resolution Mass Spectrometry Workflows in Environmental Analysis by Ion Mobility Separation. Environ. Sci. Technol. 54, 15120-15131 (2020)


25
Belova, L. et al. Ion Mobility-High-Resolution Mass Spectrometry (IM-HRMS) for the Analysis of Contaminants of Emerging Concern (CECs): Database Compilation and Application to Urine Samples. Anal. Chem. XXX, XXXX-XXXX (2021)


26
Ross, D. H., et al. High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites. J Am Soc Mass Spectr 33, 1061–1072 (2022).


ID Name Adduct Structure m/z CCS SMI Type Z Ref CCS Type CCS method
CCSBASE_7286770B99 Theophylline [M+Na]+ 203.05384 149.6333575 CN1C2=C(C(=O)N(C1=O)C)NC=N2 small molecule 1 10 DT stepped-field
CCSBASE_A72AB2135E 7-Methylguanine [M+Na]+ 188.055 149.7166667 CN1C=NC2=C1C(=O)N=C(N2)N small molecule 1 10 DT stepped-field
CCSBASE_52EABBB2C0 Gluconic Acid [M+Na]+ 219.047406 149.7674075 C([C@H]([C@H]([C@@H]([C@H](C(=O)O)O)O)O)O)O small molecule 1 10 DT stepped-field
CCSBASE_383051A5BB Methyl beta-D-galactoside [M+Na]+ 217.0671 149.9666667 CO[C@H]1[C@@H]([C@H]([C@H]([C@H](O1)CO)O)O)O small molecule 1 10 DT stepped-field
CCSBASE_7E2D162629 D-Glyceraldehyde 3- Phosphate [M+Na]+ 192.9865792 150.3706327 None small molecule 1 10 DT stepped-field
CCSBASE_428E18C9C2 N-(3-Phenylpropionyl) Glycine [M+Na]+ 230.0787568 150.6052203 None small molecule 1 10 DT stepped-field
CCSBASE_1E75E51188 D-Sedoheptulose [M+Na]+ 233.0631674 150.73 C([C@H]([C@H]([C@H]([C@@H](C(=O)CO)O)O)O)O)O carbohydrate 1 10 DT stepped-field
CCSBASE_725AE78E62 Serotonin [M+Na]+ 199.0847282 150.8 C1=CC2=C(C=C1O)C(=CN2)CCN small molecule 1 10 DT stepped-field
CCSBASE_79497E5655 L-Cysteine [M+Na]+ 144.0095182 151.3424955 C([C@@H](C(=O)O)N)S small molecule 1 10 DT stepped-field
CCSBASE_C3FF19D78F D-Xylulose 5-Phosphate [M+Na]+ 253.0089236 151.4 C([C@H]([C@@H](C(=O)CO)O)O)OP(=O)(O)O small molecule 1 10 DT stepped-field
1 2 ... 432 433 434 435 436 437 438 ... 1698 1699