Di Cristo Luisana, Keller Johannes G, Leoncino Luca, Marassi Valentina, Loosli Frederic, Seleci Didem Ag, Tsiliki Georgia, Oomen Agnes G, Stone Vicki, Wohlleben Wendel, Sabella Stefania
Istituto Italiano Di Tecnologia, Nanoregulatory Group, D3PharmaChemistry Genova Italy
Department of Material Physics and Department of Experimental Toxicology and Ecology, BASF SE Ludwigshafen Germany
Nanoscale Adv. 2023 Dec 8;6(3):798-815. doi: 10.1039/d3na00588g. eCollection 2024 Jan 30.
The dissolution of a nanomaterial (NM) in an simulant of the oro-gastrointestinal (OGI) tract is an important predictor of its biodurability . The cascade addition of simulated digestive juices (saliva, stomach and intestine), including inorganic/organic biomacromolecules and digestive enzymes (complete composition, referred to as "Type 1 formulation"), strives for realistic representation of chemical composition of the OGI tract. However, the data robustness requires consideration of analytical feasibility, such as the use of simplified media. Here we present a systematic analysis of the effects exerted by different digestive juice formulations on the dissolution% (or half-life values) of benchmark NMs (, zinc oxide, titanium dioxide, barium sulfate, and silicon dioxide). The digestive juices were progressively simplified by removal of components such as organic molecules, enzymes, and inorganic molecules (Type 2, 3 and 4). The results indicate that the "Type 1 formulation" augments the dissolution sequestration of ions by measurable factors compared to formulations without enzymes (, Type 3 and 4). Type 1 formulation is thus regarded as a preferable option for predicting NM biodurability for hazard assessment. However, for grouping purposes, the relative similarity among diverse nanoforms (NFs) of a NM is decisive. Two similarity algorithms were applied, and additional case studies comprising NFs and non NFs of the same substance were included. The results support the grouping decision by simplified formulation (Type 3) as a robust method for screening and grouping purposes.
纳米材料(NM)在口腔胃肠道(OGI)模拟物中的溶解是其生物耐久性的重要预测指标。模拟消化液(唾液、胃液和肠液)的级联添加,包括无机/有机生物大分子和消化酶(完整成分,称为“1型配方”),力求真实呈现OGI道的化学成分。然而,数据的稳健性需要考虑分析的可行性,例如使用简化培养基。在此,我们对不同消化液配方对基准纳米材料(氧化锌、二氧化钛、硫酸钡和二氧化硅)的溶解率(或半衰期值)的影响进行了系统分析。通过去除有机分子、酶和无机分子等成分(2型、3型和4型),消化液逐渐简化。结果表明,与不含酶的配方(如3型和4型)相比,“1型配方”通过可测量的因素增强了离子的溶解螯合作用。因此,1型配方被认为是预测纳米材料生物耐久性以进行危害评估的首选选项。然而,为了分组目的,纳米材料不同纳米形式(NFs)之间的相对相似性是决定性的。应用了两种相似性算法,并纳入了包含同一物质的纳米形式和非纳米形式的其他案例研究。结果支持将简化配方(3型)作为筛选和分组的稳健方法用于分组决策。