A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials.
Journal
Nature protocols
ISSN: 1750-2799
Titre abrégé: Nat Protoc
Pays: England
ID NLM: 101284307
Informations de publication
Date de publication:
16 May 2024
16 May 2024
Historique:
received:
20
03
2023
accepted:
20
02
2024
medline:
17
5
2024
pubmed:
17
5
2024
entrez:
16
5
2024
Statut:
aheadofprint
Résumé
Making research data findable, accessible, interoperable and reusable (FAIR) is typically hampered by a lack of skills in technical aspects of data management by data generators and a lack of resources. We developed a Template Wizard for researchers to easily create templates suitable for consistently capturing data and metadata from their experiments. The templates are easy to use and enable the compilation of machine-readable metadata to accompany data generation and align them to existing community standards and databases, such as eNanoMapper, streamlining the adoption of the FAIR principles. These templates are citable objects and are available as online tools. The Template Wizard is designed to be user friendly and facilitates using and reusing existing templates for new projects or project extensions. The wizard is accompanied by an online template validator, which allows self-evaluation of the template (to ensure mapping to the data schema and machine readability of the captured data) and transformation by an open-source parser into machine-readable formats, compliant with the FAIR principles. The templates are based on extensive collective experience in nanosafety data collection and include over 60 harmonized data entry templates for physicochemical characterization and hazard assessment (cell viability, genotoxicity, environmental organism dose-response tests, omics), as well as exposure and release studies. The templates are generalizable across fields and have already been extended and adapted for microplastics and advanced materials research. The harmonized templates improve the reliability of interlaboratory comparisons, data reuse and meta-analyses and can facilitate the safety evaluation and regulation process for (nano) materials.
Identifiants
pubmed: 38755447
doi: 10.1038/s41596-024-00993-1
pii: 10.1038/s41596-024-00993-1
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. Springer Nature Limited.
Références
Hofseth, L. J. Getting rigorous with scientific rigor. Carcinogenesis 39, 21–25 (2018).
pubmed: 28968787
doi: 10.1093/carcin/bgx085
Prager, E. M. et al. Improving transparency and scientific rigor in academic publishing. Brain Behav. 9, e01141 (2019).
pubmed: 30506879
doi: 10.1002/brb3.1141
Musen, M. A. et al. Modeling community standards for metadata as templates makes data FAIR. Sci. Data 9, 696 https://doi.org/10.1038/s41597-022-01815-3 (2022).
Hernandez-Boussard, T., Bozkurt, S., Ioannidis, J. P. A. & Shah, N. H. MINIMAR (MINimum Information for Medical AI Reporting): developing reporting standards for artificial intelligence in health care. J. Am. Med. Inf. Assoc. 27, 2011–2015 (2020).
doi: 10.1093/jamia/ocaa088
Papadiamantis, A. G. et al. Metadata stewardship in nanosafety research: community-driven organisation of metadata schemas to support fair nanoscience data. Nanomaterials 10, 1–49 (2020).
doi: 10.3390/nano10102033
Percie du Sert, N. et al. Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0. PLoS Biol. 18, e3000411 (2020).
pubmed: 32663221
pmcid: 7360025
doi: 10.1371/journal.pbio.3000411
Moller, P. et al. Minimum Information for Reporting on the Comet Assay (MIRCA): recommendations for describing comet assay procedures and results. Nat. Protoc. 15, 3817–3826 (2020).
pubmed: 33106678
pmcid: 7688437
doi: 10.1038/s41596-020-0398-1
Faria, M. et al. Minimum information reporting in bio-nano experimental literature. Nat. Nanotechnol. 13, 777–785 (2018).
pubmed: 30190620
pmcid: 6150419
doi: 10.1038/s41565-018-0246-4
Chetwynd, A. J., Wheeler, K. E. & Lynch, I. Best practice in reporting corona studies: Minimum information about Nanomaterial Biocorona Experiments (MINBE). Nano Today 28, 100758 (2019).
pubmed: 32774443
pmcid: 7405976
doi: 10.1016/j.nantod.2019.06.004
Erickson, B. E. Nanomaterial characterization. Chem. Eng. N. Arch. 86, 25–26 (2008).
doi: 10.1021/cen-v086n050.p025
Drobne, D. Adding toxicological context to nanotoxicity study reporting using the NanoTox metadata list. Small 17, 2005622 (2021).
doi: 10.1002/smll.202005622
Elberskirch, L. et al. Digital research data: from analysis of existing standards to a scientific foundation for a modular metadata schema in nanosafety. Part. Fibre Toxicol. 19, 1 (2022).
pubmed: 34983569
pmcid: 8728981
doi: 10.1186/s12989-021-00442-x
Ramaswamy, V. & Ozcan, K. What is co-creation? An interactional creation framework and its implications for value creation. J. Bus. Res. 84, 196–205 (2018).
doi: 10.1016/j.jbusres.2017.11.027
Grönroos, C. & Voima, P. Critical service logic: making sense of value creation and co-creation. J. Acad. Mark. Sci. 41, 133–150 (2013).
doi: 10.1007/s11747-012-0308-3
Sansone, S.-A. et al. Toward interoperable bioscience data. Nat. Genet. 44, 121–126 (2012).
pubmed: 22281772
pmcid: 3428019
doi: 10.1038/ng.1054
Sansone, S.-A., Rocca-Serra, P., Gonzalez-Beltran, Alejandra Johnson, D. & ISA community. ISA model and serialization specifications 1.0. Zenodo https://doi.org/10.5281/zenodo.163640 (2016).
Thomas, D. G. et al. ISA–TAB–Nano: a specification for sharing nanomaterial research data in spreadsheet-based format. BMC Biotechnol. 13, 2 (2013).
pubmed: 23311978
pmcid: 3598649
doi: 10.1186/1472-6750-13-2
Kochev, N. et al. Your spreadsheets can be FAIR: a tool and FAIRification workflow for the eNanoMapper database. Nanomaterials 10, 1908 (2020).
pubmed: 32987901
pmcid: 7601422
doi: 10.3390/nano10101908
Jeliazkova, N. et al. Towards FAIR nanosafety data. Nat. Nanotechnol. 16, 644–654 (2021).
pubmed: 34017099
doi: 10.1038/s41565-021-00911-6
Totaro, S., Crutzen, H. & Riego-Sintes, J. Data logging templates for the environmental, health and safety assessment of nanomaterials. European Commission https://publications.jrc.ec.europa.eu/repository/handle/JRC103178 (2017).
Gottardo, S. et al. GRACIOUS data logging templates for the environmental, health and safety assessment of nanomaterials. European Commission https://publications.jrc.ec.europa.eu/repository/handle/JRC117733 (2019).
Tanoli, Z. et al. Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Brief. Bioinform. 23, bbab350 (2022).
pubmed: 34472587
doi: 10.1093/bib/bbab350
Heller, S. R., McNaught, A., Pletnev, I., Stein, S. & Tchekhovskoi, D. InChI, the IUPAC international chemical identifier. J. Cheminform. 7, 23 (2015).
pubmed: 26136848
pmcid: 4486400
doi: 10.1186/s13321-015-0068-4
Scheffler, M. et al. FAIR data enabling new horizons for materials research. Nature 604, 635–642 (2022).
pubmed: 35478233
doi: 10.1038/s41586-022-04501-x
Wilkinson, M. D. et al. The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016).
pubmed: 26978244
pmcid: 4792175
doi: 10.1038/sdata.2016.18
Jeliazkova, N., Kochev, N. & Tancheva, G. in Data Integrity and Data Governance https://doi.org/10.5992/intechopen.1000857 (2023).
van Rijn, J. et al. European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials. J. Cheminform. 14, 57 (2022).
pubmed: 36002868
pmcid: 9400299
doi: 10.1186/s13321-022-00614-7
Lynch, I. et al. Can an InChI for nano address the need for a simplified representation of complex nanomaterials across experimental and nanoinformatics studies? Nanomaterials 10, 2493 (2020).
pubmed: 33322568
pmcid: 7764592
doi: 10.3390/nano10122493
Ammar, A., Evelo, C. & Willighagen, E. FAIR assessment of nanosafety data reusability with community standards. Prepr. ChemRxiv https://doi.org/10.26434/chemrxiv-2022-l8vk8-v2 (2022).
doi: 10.26434/chemrxiv-2022-l8vk8-v2
Berrios, D. C., Beheshti, A. & Costes, S. V. FAIRness and usability for open-access omics data systems. Annu. Symp. Proc. AMIA Symp. 2018, 232–241 (2018).
pubmed: 30815061
Rasmussen, K., Rauscher, H., Kearns, P., González, M. & Riego Sintes, J. Developing OECD test guidelines for regulatory testing of nanomaterials to ensure mutual acceptance of test data. Regul. Toxicol. Pharmacol. 104, 74–83 (2019).
pubmed: 30831158
pmcid: 6486396
doi: 10.1016/j.yrtph.2019.02.008
Xiarchos, I., Morozinis, A. K., Kavouras, P. & Charitidis, C. A. Nanocharacterization, materials modeling, and research integrity as enablers of sound risk assessment: designing responsible nanotechnology. Small 16, 2001590 (2020).
doi: 10.1002/smll.202001590
Steinhäuser, K. G. & Sayre, P. G. Reliability of methods and data for regulatory assessment of nanomaterial risks. NanoImpact 7, 66–74 (2017).
doi: 10.1016/j.impact.2017.06.001
Hendren, C. O., Lowry, G. V., Unrine, J. M. & Wiesner, M. R. A functional assay-based strategy for nanomaterial risk forecasting. Sci. Total Environ. 536, 1029–1037 (2015).
pubmed: 26188653
doi: 10.1016/j.scitotenv.2015.06.100
Gao, X. & Lowry, G. V. Progress towards standardized and validated characterizations for measuring physicochemical properties of manufactured nanomaterials relevant to nano health and safety risks. NanoImpact 9, 14–30 (2018).
doi: 10.1016/j.impact.2017.09.002
Geitner, N. K. et al. Harmonizing across environmental nanomaterial testing media for increased comparability of nanomaterial datasets. Environ. Sci. Nano 7, 13–36 (2020).
doi: 10.1039/C9EN00448C
Modena, M. M., Rühle, B., Burg, T. P. & Wuttke, S. Nanoparticle characterization: what to measure? Adv. Mater. 31, 1901556 (2019).
doi: 10.1002/adma.201901556
Rasmussen, K. et al. Physico-chemical properties of manufactured nanomaterials - Characterisation and relevant methods. An outlook based on the OECD testing programme. Regul. Toxicol. Pharmacol. 92, 8–28 (2018).
pubmed: 29074277
pmcid: 5817049
doi: 10.1016/j.yrtph.2017.10.019
Jeliazkova, N. Data entry template for material composition—part of eNanoMapper Template Wizard. Zenodo https://doi.org/10.5281/zenodo.7751340 (2023).
Preliminary review of OECD test guidelines for their applicability to manufactured nanomaterials. ENV/JM/MONO(2009)21 OECD https://one.oecd.org/document/ENV/JM/MONO(2009)21/en/pdf (2009).
Guidance on sample preparation and dosimetry for the safety testing of manufactured nanomaterials. ENV/JM/MONO(2012)40 OECD https://one.oecd.org/document/ENV/JM/MONO(2012)40/en/pdf (2012).
Report of the OECD expert meeting on the physical chemical properties of manufactured nanomaterials and test guidelines. ENV/JM/MONO(2014)15 vol. 41 OECD https://one.oecd.org/document/ENV/JM/MONO(2014)15/en/pdf (2014).
Physical–chemical parameters: measurements and methods relevant for the regulation of nanomaterials. ENV/JM/MONO(2016)2 vol. 63 OECD https://one.oecd.org/document/ENV/JM/MONO(2016)63/en/pdf (2016).
Guiding principles for measurements and reporting for nanomaterials: physical chemical parameters. ENV/JM/MONO(2019)13 vol. 91 OECD https://one.oecd.org/document/env/jm/mono(2019)13/en/pdf (2019).
Ag Seleci, D. et al. Determining nanoform similarity via assessment of surface reactivity by abiotic and in vitro assays. NanoImpact 26, 100390 (2022).
pubmed: 35560290
doi: 10.1016/j.impact.2022.100390
Koltermann-Jülly, J. et al. Abiotic dissolution rates of 24 (nano)forms of 6 substances compared to macrophage-assisted dissolution and in vivo pulmonary clearance: grouping by biodissolution and transformation. NanoImpact 12, 29–41 (2018).
doi: 10.1016/j.impact.2018.08.005
Keller, J. G. et al. Predicting dissolution and transformation of inhaled nanoparticles in the lung using abiotic flow cells: the case of barium sulfate. Sci. Rep. 10, 458 (2020).
pubmed: 31949204
pmcid: 6965653
doi: 10.1038/s41598-019-56872-3
Keller, J. G. et al. Variation in dissolution behavior among different nanoforms and its implication for grouping approaches in inhalation toxicity. NanoImpact 23, 100341 (2021).
pubmed: 35559842
doi: 10.1016/j.impact.2021.100341
Li, Y., Fujita, M. & Boraschi, D. Endotoxin contamination in nanomaterials leads to the misinterpretation of immunosafety results. Front. Immunol. 8, 472 (2017).
pubmed: 28533772
pmcid: 5420554
doi: 10.3389/fimmu.2017.00472
Longhin, E., Moschini, E., El Yamani, N. & Sanchez, M. Consolidated pre-validated guidance document on the determination of ENMs endotoxins content. Deliverable 4.4. RiskGONE https://riskgone.wp.nilu.no/wp-content/uploads/sites/11/2022/02/RiskGONE-D4.4.pdf (2021).
Longhin, E. M., El Yamani, N., Rundén-Pran, E. & Dusinska, M. The alamar blue assay in the context of safety testing of nanomaterials. Front. Toxicol. 4, 981701 (2022).
pubmed: 36245792
pmcid: 9554156
doi: 10.3389/ftox.2022.981701
O’Brien, J., Wilson, I., Orton, T. & Pognan, F. Investigation of the alamar blue (resazurin) fluorescent dye for the assessment of mammalian cell cytotoxicity. Eur. J. Biochem. 267, 5421–5426 (2000).
pubmed: 10951200
doi: 10.1046/j.1432-1327.2000.01606.x
Guidance Document on Good In Vitro Method Practices (GIVIMP). OECD https://doi.org/10.1787/9789264304796-en (2018).
Ponti, J. et al. Interlaboratory comparison study of the colony forming efficiency assay for assessing cytotoxicity of nanomaterials. Jt. Res. Cent. https://doi.org/10.2788/406937 (2014).
Rundén-Pran, E. et al. The colony forming efficiency assay for toxicity testing of nanomaterials—modifications for higher throughput. Front. Toxicol. 4, 983316 (2022).
pubmed: 36157975
pmcid: 9489936
doi: 10.3389/ftox.2022.983316
Cowie, H. et al. Suitability of human and mammalian cells of different origin for the assessment of genotoxicity of metal and polymeric engineered nanoparticles. Nanotoxicology 9, 57–65 (2015).
pubmed: 25923348
doi: 10.3109/17435390.2014.940407
Vodenkova, S. et al. An optimized comet-based in vitro DNA repair assay to assess base and nucleotide excision repair activity. Nat. Protoc. 15, 3844–3878 (2020).
pubmed: 33199871
doi: 10.1038/s41596-020-0401-x
Guidance on the safety assessment of nanomaterials in cosmetics. Scientific Committee on Consumer Safety https://health.ec.europa.eu/system/files/2020-10/sccs_o_233_0.pdf (2020).
More, S. et al. Guidance on risk assessment of nanomaterials to be applied in the food and feed chain: human and animal health. EFSA J. 19, e06768 (2021).
pubmed: 34377190
pmcid: 8331059
More, S. et al. Guidance on technical requirements for regulated food and feed product applications to establish the presence of small particles including nanoparticles. EFSA J. 19, e06769 (2021).
pubmed: 34377191
pmcid: 8331058
El Yamani, N. et al. The miniaturized enzyme-modified comet assay for genotoxicity testing of nanomaterials. Front. Toxicol. 4, 986318 (2022).
pubmed: 36310692
pmcid: 9597874
doi: 10.3389/ftox.2022.986318
Magdolenova, Z., Lorenzo, Y., Collins, A. & Dusinska, M. Can standard genotoxicity tests be applied to nanoparticles? J. Toxicol. Environ. Heal. Part A 75, 800–806 (2012).
doi: 10.1080/15287394.2012.690326
Rajapakse, K., Drobne, D., Kastelec, D. & Marinsek-Logar, R. Experimental evidence of false-positive Comet test results due to TiO 2 particle—assay interactions. Nanotoxicology 7, 1043–1051 (2013).
pubmed: 22632608
doi: 10.3109/17435390.2012.696735
Bossa, C. et al. FAIRification of nanosafety data to improve applicability of (Q)SAR approaches: a case study on in vitro comet assay genotoxicity data. Comput. Toxicol. 20, 100190 (2021).
pubmed: 34820591
pmcid: 8591730
doi: 10.1016/j.comtox.2021.100190
El Yamani, N. et al. Hazard identification of nanomaterials: in silico unraveling of descriptors for cytotoxicity and genotoxicity. Nano Today 46, 101581 (2022).
doi: 10.1016/j.nantod.2022.101581
Collins, A. et al. Measuring DNA modifications with the comet assay: a compendium of protocols. Nat. Protoc. 18, 929–989 (2023).
pubmed: 36707722
pmcid: 10281087
doi: 10.1038/s41596-022-00754-y
El Yamani, N. et al. In vitro genotoxicity testing of four reference metal nanomaterials, titanium dioxide, zinc oxide, cerium oxide and silver: towards reliable hazard assessment. Mutagenesis 32, 117–126 (2017).
pubmed: 27838631
doi: 10.1093/mutage/gew060
El Yamani, N. et al. Lack of mutagenicity of TiO2 nanoparticles in vitro despite cellular and nuclear uptake. Mutat. Res. Toxicol. Environ. Mutagen. 882, 503545 (2022).
doi: 10.1016/j.mrgentox.2022.503545
Template for mammalian erythrocyte micronucleus test. FDA https://www.fda.gov/food/ingredients-additives-gras-packaging-guidance-documents-regulatory-information/template-mammalian-erythrocyte-micronucleus-test (2004).
Llewellyn, S. V. et al. Assessing the transferability and reproducibility of 3D in vitro liver models from primary human multi-cellular microtissues to cell-line based HepG2 spheroids. Toxicol. Vitr. 85, 105473 (2022).
doi: 10.1016/j.tiv.2022.105473
Test no. 487: in vitro mammalian cell micronucleus test. OECD https://doi.org/10.1787/9789264264861-en (2016).
Study report and preliminary guidance on the adaptation of the in vitro micronucleus assay (OECD TG 487) for testing of manufactured nanomaterials ENV/CBC/MONO(2022)15. series on testing and assessment vol. 359. OECD https://www.oecd.org/chemicalsafety/testing/series-testing-assessment-publications-number.htm .
Test no. 476: in vitro mammalian cell gene mutation tests using the Hprt and xprt genes. OECD https://www.oecd-ilibrary.org/environment/test-no-476-in-vitro-mammalian-cell-gene-mutation-tests-using-the-hprt-and-xprt-genes_9789264264809-en , https://doi.org/10.1787/20745788 (2016).
Doak, S. H. et al. Mechanistic influences for mutation induction curves after exposure to DNA-reactive carcinogens. Cancer Res. 67, 3904–3911 (2007).
pubmed: 17440105
doi: 10.1158/0008-5472.CAN-06-4061
Johnson, G. E. et al. Non-linear dose–response of DNA-reactive genotoxins: recommendations for data analysis. Mutat. Res. Toxicol. Environ. Mutagen. 678, 95–100 (2009).
doi: 10.1016/j.mrgentox.2009.05.009
Guadagnini, R. et al. Toxicity screenings of nanomaterials: challenges due to interference with assay processes and components of classic in vitro tests. Nanotoxicology 9, 13–24 (2015).
pubmed: 23889211
doi: 10.3109/17435390.2013.829590
Kroll, A., Pillukat, M. H., Hahn, D. & Schnekenburger, J. Interference of engineered nanoparticles with in vitro toxicity assays. Arch. Toxicol. 86, 1123–1136 (2012).
pubmed: 22407301
doi: 10.1007/s00204-012-0837-z
Collins, A. R. et al. High-throughput toxicity screening and intracellular detection of nanomaterials. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. https://doi.org/10.1002/wnan.1413 (2017).
doi: 10.1002/wnan.1413
pubmed: 27273980
Ostermann, M. et al. Label-free impedance flow cytometry for nanotoxicity screening. Sci. Rep. 10, 142 (2020).
pubmed: 31924828
pmcid: 6954202
doi: 10.1038/s41598-019-56705-3
Jemec, A., Mesarič, T., Sopotnik, M., Sepčić, K. & Drobne, D. in Nanomaterial Characterization 253–268 (John Wiley & Sons, 2016).
Taylor, C. F. et al. Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project. Nat. Biotechnol. 26, 889–896 (2008).
pubmed: 18688244
pmcid: 2771753
doi: 10.1038/nbt.1411
Sakurai, K., Kurtz, A., Stacey, G., Sheldon, M. & Fujibuchi, W. First proposal of minimum information about a cellular assay for regenerative medicine. Stem Cells Transl. Med. 5, 1345–1361 (2016).
pubmed: 27405781
pmcid: 5031183
doi: 10.5966/sctm.2015-0393
Karatzas, P. et al. Development of deep learning models for predicting the effects of exposure to engineered nanomaterials on Daphnia magna. Small 16, 2001080 (2020).
doi: 10.1002/smll.202001080
Test no. 202: Daphnia sp. acute immobilisation test. OECD https://doi.org/10.1787/9789264069947-en (2004).
Test no. 211: Daphnia magna Reproduction Test. OECD https://doi.org/10.1787/9789264185203-en (2012).
Fernández-Cruz, M. L. et al. Quality evaluation of human and environmental toxicity studies performed with nanomaterials—the GUIDEnano approach. Environ. Sci. Nano https://doi.org/10.1039/C7EN00716G (2018).
doi: 10.1039/C7EN00716G
Klimisch, H. J., Andreae, M. & Tillmann, U. A systematic approach for evaluating the quality of experimental toxicological and ecotoxicological data. Regul. Toxicol. Pharmacol. 25, 1–5 (1997).
pubmed: 9056496
doi: 10.1006/rtph.1996.1076
Exposure Scenario Library. IOM http://guidenano.iom-world.co.uk/ .
Rashid, S. et al. GRACIOUS release and exposure templates. Zenodo https://doi.org/10.5281/zenodo.4665253 (2021).
Sanchez Jimenez, A. et al. Harmonization of release and exposure data collection for nanomaterials. Prep.
Perez-Riverol, Y. et al. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 50, D543–D552 (2022).
pubmed: 34723319
doi: 10.1093/nar/gkab1038
Additives, E. P. on F. et al. Safety assessment of titanium dioxide (E171) as a food additive. EFSA J. 19, e06585 (2021).
Canada, H. State of the science of titanium dioxide (TiO2) as a food additive. LJMU https://publications.gc.ca/collections/collection_2022/sc-hc/H164-341-2022-eng.pdf (2022).
Corcho, O., Eriksson, M. & Kurowski, K. EOSC interoperability framework: report from the EOSC Executive Board Working Groups FAIR and Architecture. https://doi.org/10.2777/620649 (2021).
The New European Interoperability Framework. European Commission https://ec.europa.eu/isa2/eif_en/ .
Basei, G., Rauscher, H., Jeliazkova, N. & Hristozov, D. A methodology for the automatic evaluation of data quality and completeness of nanomaterials for risk assessment purposes. Nanotoxicology 16, 195–216 (2022).
pubmed: 35506346
doi: 10.1080/17435390.2022.2065222
Ellis, L. A. et al. Multigenerational exposures of Daphnia magna to pristine and aged silver nanoparticles: epigenetic changes and phenotypical ageing related effects. Small 16, 2000301 (2020).
doi: 10.1002/smll.202000301
Ellis, L.-J. A. et al. Multigenerational exposure to Nano-TiO
doi: 10.1002/anbr.202000083
Pem, B. et al. Biocompatibility assessment of up-and down-converting nanoparticles: implications of interferences with in vitro assays. Methods Appl. Fluoresc. 7, 014001 (2018).
pubmed: 30398160
doi: 10.1088/2050-6120/aae9c8
Vinković Vrček, I. et al. Does surface coating of metallic nanoparticles modulate their interference with in vitro assays? RSC Adv. 5, 70787–70807 (2015).
doi: 10.1039/C5RA14100A