The DOI matches its Crossref record.
Quantitative 2D HSQC (Q-HSQC) via Suppression of J-Dependence of Polarization Transfer in NMR Spectroscopy: Application to Wood Lignin
Abstract
A quantitative method to record (1)H-(13)C correlation NMR spectra (Q-HSQC) is presented. The suppression of (1)J(CH)-dependence is achieved by modulating the polarization transfer delays of HSQC. In addition, the effect of homonuclear couplings, as well as relaxation during the pulse sequence are discussed. We developed the Q-HSQC approach for the quantitative analysis of wood lignin, a complex polymer where it has been difficult to obtain reliable data on the relative amounts of different structural units. The current method is applicable to a variety of complex mixtures, where normal 1D (1)H- and (13)C-NMR methods fail.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Guidelines for performing lignin-first biorefining
Abu-Omar, M. M., Barta, K., Beckham, G. T., Luterbacher, J. S., Ralph, J., Rinaldi, R., Román-Leshkov, Y., Samec, J. S. M., Sels, B. F., & Wang, F. (2021) · Energy & Environmental Science · doi:10.1039/d0ee02870c · Cited by 913
Can laccases catalyze bond cleavage in lignin?
Munk, L., Sitarz, A. K., Kalyani, D. C., Mikkelsen, J. D., & Meyer, A. S. (2015) · Biotechnology Advances · doi:10.1016/j.biotechadv.2014.12.008 · Cited by 395
Ibarra, D., Chávez, M. I., Rencoret, J., Del Río, J. C., Gutiérrez, A., Romero, J., Camarero, S., Martínez, M. J., Jiménez-Barbero, J., & Martínez, A. T. (2007) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf063728t · Cited by 139
Metadata
- Authors
- Heikkinen, S., Toikka, M. M., Karhunen, P. T., & Kilpeläinen, I. A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-03-14
- Volume
- 125
- Issue
- 14
- Pages
- 4362-4367
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2046143330
- Cited by
- 270
- References
- 0
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantitative 2D HSQC (Q-HSQC) via Suppression of J-Dependence of Polarization Transfer in NMR Spectroscopy: Application to Wood Lignin. https://app.cochat.ai/papers/10.1021/ja029035k
- The paper
- Heikkinen, S., Toikka, M. M., Karhunen, P. T., & Kilpeläinen, I. A. (2003). Quantitative 2D HSQC (Q-HSQC) via Suppression of J-Dependence of Polarization Transfer in NMR Spectroscopy: Application to Wood Lignin. Journal of the American Chemical Society. https://doi.org/10.1021/ja029035k
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.