The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
High throughput phospholipid fatty acid analysis of soils
Open accessAbstract
Phospholipid fatty acid (PLFA) analysis is widely used to measure microbial biomass and community composition in soil and other types of environmental samples. As typically performed, the analysis involves many steps and 1.5–3 days are required to prepare a small batch (i.e. 20–24 samples and blanks), depending on the exact equipment employed in each laboratory. Gas chromatography (GC) or gas chromatography–mass spectrometry (GC–MS) is then used to analyze the samples, requiring further time to obtain the data. We have developed a method for preparing 96 soil samples and blanks in 1.5 days, a 4- to 5-fold increase in throughput. All drying and centrifuging steps take place in a centrifugal evaporator. Soil samples in test tubes are dried overnight and then a Bligh–Dyer lipid extraction is performed. The extract is dried, dissolved in chloroform, and loaded onto a 96-well solid phase extraction plate. Phospholipids are eluted into glass vials in a 96-well format, dried, and transesterified. The resulting fatty acid methyl esters are analyzed by GC and quantified relative to an internal standard. The high throughput protocol uses much smaller solvent volumes than the traditional protocol, which combined with the use of the 96-well format leads to much faster sample preparation. Biomarker PLFA concentrations for 10 different soils were highly correlated, although not identical, between the two protocols. Multivariate analysis of the PLFA biomarkers indicated that the two protocols produced similar patterns for the different soils. The high throughput protocol may be useful to laboratories performing large numbers of PLFA analyses.
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
Cites
A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751
The use of phospholipid fatty acid analysis to estimate bacterial and fungal biomass in soil
Frosteg�rd, A., & B��th, E. (1996) · Biology and Fertility of Soils · doi:10.1007/bf00384433 · Cited by 2,496
Zelles, L. (1999) · Biology and Fertility of Soils · doi:10.1007/s003740050533 · Cited by 2,031
Determination of the sedimentary microbial biomass by extractible lipid phosphate
White, D. C., Davis, W. M., Nickels, J. S., King, J. D., & Bobbie, R. J. (1979) · Oecologia · doi:10.1007/bf00388810 · Cited by 1,702
Rousk, J., Brookes, P. C., & Bååth, E. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.02775-08 · Cited by 1,673
Molecular Microbial Ecology Manual
(2004) · Springer eBooks · doi:10.1007/978-1-4020-2177-0 · Cited by 808
Phospholipid fatty acid profiles in selected members of soil microbial communities
Zelles, L. (1997) · Chemosphere · doi:10.1016/s0045-6535(97)00155-0 · Cited by 780
Effect of Metal-Rich Sludge Amendments on the Soil Microbial Community
Bååth, E., Díaz-Raviña, M., Frostegård, Å., & Campbell, C. D. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.1.238-245.1998 · Cited by 341
Factors affecting soil microbial community structure in tomato cropping systems
Buyer, J. S., Teasdale, J. R., Roberts, D. P., Zasada, I. A., & Maul, J. E. (2010) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2010.01.020 · Cited by 314
Self-citationZelles, L., & Bai, Q. Y. (1993) · Soil Biology and Biochemistry · doi:10.1016/0038-0717(93)90075-m · Cited by 212
Williams, M. A., & Rice, C. W. (2006) · Applied Soil Ecology · doi:10.1016/j.apsoil.2006.09.014 · Cited by 189
Soil Microbial Communities Associated with Bt and Non‐Bt Corn in Three Soils
Blackwood, C. B., & Buyer, J. S. (2004) · Journal of Environmental Quality · doi:10.2134/jeq2004.0832 · Cited by 146
Self-citationRingelberg, D. B., Stair, J. O., Almeida, J. S., Norby, R. J., O’Neill, E. G., & White, D. C. (1997) · Journal of Environmental Quality · doi:10.2134/jeq1997.00472425002600020022x · Cited by 93
Cited by
The fate of carbon in a mature forest under carbon dioxide enrichment
Jiang, M., Medlyn, B. E., Drake, J. E., Duursma, R. A., Anderson, I. C., Barton, C. V. M., Boer, M. M., Carrillo, Y., Castañeda-Gómez, L., Collins, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2128-9 · Cited by 448
Reduction of microbial diversity in grassland soil is driven by long-term climate warming
Wu, L., Zhang, Y., Guo, X., Ning, D., Zhou, X., Feng, J., Yuan, M. M., Liu, S., Guo, J., Gao, Z., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01147-3 · Cited by 404
Innovative methods in soil phosphorus research: A review
Kruse, J., Abraham, M., Amelung, W., Baum, C., Bol, R., Kühn, O., Lewandowski, H., Niederberger, J., Oelmann, Y., Rüger, C., et al. (2015) · Journal of Plant Nutrition and Soil Science · doi:10.1002/jpln.201400327 · Cited by 386
Biochar additions can enhance soil structure and the physical stabilization of C in aggregates
Wang, D., Fonte, S. J., Parikh, S. J., Six, J., & Scow, K. M. (2017) · Geoderma · doi:10.1016/j.geoderma.2017.05.027 · Cited by 323
Degradation of potentially biodegradable plastic mulch films at three diverse U.S. locations
Li, C., Moore-Kucera, J., Miles, C., Leonas, K., Lee, J., Corbin, A., & Inglis, D. (2014) · Agroecology and Sustainable Food Systems · doi:10.1080/21683565.2014.884515 · Cited by 132
Metadata
- Authors
- Buyer, J. S., & Sasser, M.
- Venue
- Applied Soil Ecology
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 61
- Pages
- 127-130
- ISSN
- 0929-1393 (ISSN-L)
- OpenAlex
- W2062299216
- Cited by
- 511
- References
- 13
- FWCI
- 12.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.
