Institute of Inorganic and Analytical Chemistry, University of Münster, Corrensstr. 30, 48149 Münster, Germany.
Tattoo Clinic (Tattoo Poli), Department of Dermatology, Alrijne Hospital, Houtlaan 55, 2334 CK Leiden, The Netherlands.
Anal Chem. 2022 Mar 1;94(8):3581-3589. doi: 10.1021/acs.analchem.1c04922. Epub 2022 Feb 18.
Tattooing has become increasingly popular throughout society. Despite the recognized issue of adverse reactions in tattoos, regulations remain challenging with limited data available and a missing positive list. The diverse chemical properties of mostly insoluble inorganic and organic pigments pose an outstanding analytical challenge, which typically requires extensive sample preparation. Here, we present a multimodal bioimaging approach combining micro X-ray fluorescence (μXRF) and laser desorption ionization-mass spectrometry (LDI-MS) to detect the elemental and molecular composition in the same sample. The pigment structures directly absorb the laser energy, eliminating the need for matrix application. A computational data processing workflow clusters spatially resolved LDI-MS scans to merge redundant information into consensus spectra, which are then matched against new open mass spectral libraries of tattoo pigments. When applied to 13 tattoo inks and 68 skin samples from skin biopsies in adverse tattoo reactions, characteristic signal patterns of isotopes, ion adducts, and in-source fragments in LDI-MS scans yielded confident compound annotations across various pigment classes. Combined with μXRF, pigment annotations were achieved for all skin samples with 14 unique structures and 2 inorganic pigments, emphasizing the applicability to larger studies. The tattoo-specific spectral libraries and further information are available on the tattoo-analysis.github.io website.
纹身已经在社会中变得越来越流行。尽管人们已经认识到纹身会产生不良反应,但由于可用数据有限且缺乏正面清单,相关法规仍然难以制定。大多数不溶性无机和有机颜料的化学性质多种多样,这对分析构成了巨大挑战,通常需要进行大量的样品制备。在这里,我们提出了一种多模式生物成像方法,结合微 X 射线荧光(μXRF)和激光解吸电离质谱(LDI-MS)来检测同一样品中的元素和分子组成。颜料结构直接吸收激光能量,从而无需基质应用。通过计算数据处理工作流程,将空间分辨 LDI-MS 扫描聚类为共识光谱,然后将其与新的开放纹身颜料质谱库进行匹配。当应用于 13 种纹身墨水和 68 个来自皮肤活检的不良反应纹身皮肤样本时,LDI-MS 扫描中的同位素、离子加合物和源内碎片的特征信号模式产生了各种颜料类别的化合物注释。与 μXRF 结合使用,对所有皮肤样本都实现了颜料注释,共鉴定出 14 种独特结构和 2 种无机颜料,强调了其在更大规模研究中的适用性。特定于纹身的光谱库及其他信息可在 tattoo-analysis.github.io 网站上获取。