Determining nanoform similarity via assessment of surface reactivity by abiotic and in vitro assays
Tài liệu tham khảo
Angelé-Martínez, 2017, Reactive oxygen species generation by copper(II) oxide nanoparticles determined by DNA damage assays and EPR spectroscopy, Nanotoxicology, 11, 278, 10.1080/17435390.2017.1293750
Angelé-Martínez, 2017, Reactive oxygen species generation by copper(II) oxide nanoparticles determined by DNA damage assays and EPR spectroscopy, Nanotoxicology, 11, 278, 10.1080/17435390.2017.1293750
Arts, 2015, A decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping), Regul. Toxicol. Pharmacol., 71, S1, 10.1016/j.yrtph.2015.03.007
Arts, 2016, Case studies putting the decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping) into practice, Regul. Toxicol. Pharmacol., 76, 234, 10.1016/j.yrtph.2015.11.020
Bahl, 2020, Nanomaterial categorization by surface reactivity: a case study comparing 35 materials with four different test methods, NanoImpact, 19, 100234, 10.1016/j.impact.2020.100234
Benzie, 1996, The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: the FRAP assay, Anal. Biochem., 239, 70, 10.1006/abio.1996.0292
Bi, 2019, Ferric reducing reactivity assay with theoretical kinetic modeling uncovers electron transfer schemes of metallic-nanoparticle-mediated redox in water solutions, Environ. Sci. Nano, 6, 1791, 10.1039/C9EN00258H
Boyles, 2022, Development of a standard operating procedure for the DCFH2-DA acellular assessment of reactive oxygen species produced by nanomaterials, Toxicol. Mech. Methods, 1
Braakhuis, 2021, An integrated approach to testing and assessment to support grouping and read-across of nanomaterials after inhalation exposure, Appl. In Vitro Toxicol., 7, 112, 10.1089/aivt.2021.0009
Brandt, 1965, Synthesis of diacetyldichlorofluorescin: a stable reagent for fluorometric analysis, Anal. Biochem., 11, 6, 10.1016/0003-2697(65)90035-7
Buesen, 2014, Effects of SiO2, ZrO2, and BaSO4 nanomaterials with or without surface functionalization upon 28-day oral exposure to rats, Arch. Toxicol., 88, 1881, 10.1007/s00204-014-1337-0
Buettner, 1987, Spin trapping: ESR parameters of spin adducts, Free Radic. Biol. Med., 3, 259, 10.1016/S0891-5849(87)80033-3
Di Cristo, 2021, Grouping hypotheses and an integrated approach to testing and assessment of nanomaterials following oral ingestion, Nanomaterials, 11, 2623, 10.3390/nano11102623
Echa, 2019, Appendix R.6-1 for nanoforms applicable to the guidance on QSARs and grouping of chemicals, Helsinki
Eom, 2009, Oxidative stress of CeO2 nanoparticles via p38-Nrf-2 signaling pathway in human bronchial epithelial cell, Beas-2B, Toxicol. Lett., 187, 77, 10.1016/j.toxlet.2009.01.028
Faulkenberry, 2018, Computing Bayes factors to measure evidence from experiments: an extension of the BIC approximation, Biometric. Lett., 55, 31, 10.2478/bile-2018-0003
Gandon, 2017, Surface reactivity measurements as required for grouping and read-across: an advanced FRAS protocol, J. Phys. Conf. Ser., 838, 10.1088/1742-6596/838/1/012033
Giusti, 2019, Nanomaterial grouping: existing approaches and future recommendations, NanoImpact, 16, 10.1016/j.impact.2019.100182
Gosens, 2016, Organ burden and pulmonary toxicity of nano-sized copper (II) oxide particles after short-term inhalation exposure, Nanotoxicology, 10, 1084, 10.3109/17435390.2016.1172678
Guisti
He, 2014, Electron spin resonance spectroscopy for the study of nanomaterial-mediated generation of reactive oxygen species, J. Food Drug Anal., 22, 49, 10.1016/j.jfda.2014.01.004
Hellack, 2017, Analytical methods to assess the oxidative potential of nanoparticles: a review, Environ. Sci. Nano, 4, 1920, 10.1039/C7EN00346C
Hellack, 2017, Analytical methods to assess the oxidative potential of nanoparticles: a review, Environ. Sci. Nano, 4, 1920, 10.1039/C7EN00346C
Appendix R.6-1 for Nanoforms Applicable to the Guidance on QSARs and Grouping of Chemicals (ECHA), E. C. A., Ed. Helsinki, Finland, 2019; Vol. ED-04-19-681-EN-N.
Hofmann, 2016, Comparative short-term inhalation toxicity of five organic diketopyrrolopyrrole pigments and two inorganic iron-oxide-based pigments, Inhal. Toxicol., 28, 463, 10.1080/08958378.2016.1200698
Hsieh, 2013, Mapping the biological oxidative damage of engineered nanomaterials, Small, 9, 1853, 10.1002/smll.201201995
ISO, 2017, Vol. ISO/TS 18827
Jeliazkova, 2022, How can we justify grouping of nanoforms for hazard assessment? Concepts and tools to quantify similarity, NanoImpact, 25, 10.1016/j.impact.2021.100366
JRC Nanomaterials Repository
Keller, 2020, Predicting dissolution and transformation of inhaled nanoparticles in the lung using abiotic flow cells: the case of barium sulfate, Sci. Rep., 10, 458, 10.1038/s41598-019-56872-3
Keller, 2021, Variation in dissolution behavior among different nanoforms and its implication for grouping approaches in inhalation toxicity, NanoImpact, 23, 10.1016/j.impact.2021.100341
Keller, 2021, Variation in dissolution behavior among different nanoforms and its implication for grouping approaches in inhalation toxicity, NanoImpact, 100341
Lakshmi Prasanna, 2015, Insight into the mechanism of antibacterial activity of ZnO: surface defects mediated reactive oxygen species even in the dark, Langmuir, 31, 9155, 10.1021/acs.langmuir.5b02266
Landsiedel, 2014, Application of short-term inhalation studies to assess the inhalation toxicity of nanomaterials, Part. Fibre Toxicol., 11, 16, 10.1186/1743-8977-11-16
Li, 2015, Degradation of pCNB by Fenton like process using α-FeOOH, Chem. Eng. J., 260, 28, 10.1016/j.cej.2014.08.042
Murphy, 2021, An integrated approach to testing and assessment of high aspect ratio nanomaterials and its application for grouping based on a common mesothelioma hazard, NanoImpact, 22, 10.1016/j.impact.2021.100314
Niture, 2014, Regulation of Nrf2—an update, Free Radic. Biol. Med., 66, 36, 10.1016/j.freeradbiomed.2013.02.008
Oberdörster, 2018, In vivo effects: methodologies and biokinetics of inhaled nanomaterials, NanoImpact, 10, 38, 10.1016/j.impact.2017.10.007
Pal, 2014, Screening for oxidative damage by engineered nanomaterials: a comparative evaluation of FRAS and DCFH, J. Nanopart. Res., 16, 2167, 10.1007/s11051-013-2167-3
Schmid, 2016, Surface area is the biologically most effective dose metric for acute nanoparticle toxicity in the lung, J. Aerosol Sci., 99, 133, 10.1016/j.jaerosci.2015.12.006
Stone, 2020, A framework for grouping and read-across of nanomaterials-supporting innovation and risk assessment, Nano Today, 35, 10.1016/j.nantod.2020.100941
Thaipong, 2006, Comparison of ABTS, DPPH, FRAP, and ORAC assays for estimating antioxidant activity from guava fruit extracts, J. Food Compos. Anal., 19, 669, 10.1016/j.jfca.2006.01.003
Tsiliki, 2021, Bayesian based grouping of nanomaterials and Dose Response similarity models
Verdon, 2021, Neutrophil activation by nanomaterials in vitro: comparing strengths and limitations of primary human cells with those of an immortalized (HL-60) cell line, Nanotoxicology, 15, 1, 10.1080/17435390.2020.1834635
Wilson, 2002, Interactions between ultrafine particles and transition metals in vivo and in vitro, Toxicol. Appl. Pharmacol., 184, 172, 10.1006/taap.2002.9501
Wohlleben, 2019, The nanoGRAVUR framework to group (nano)materials for their occupational, consumer, environmental risks based on a harmonized set of material properties, applied to 34 case studies, Nanoscale, 11, 17637, 10.1039/C9NR03306H
Worth, 2017
Zhao, 2014, Detecting the oxidative reactivity of nanoparticles: a new protocol for reducing artifacts, J. Nanopart. Res., 16, 2493, 10.1007/s11051-014-2493-0