Quantification of UHMWPE wear in periprosthetic tissues of hip arthroplasty: Description of a new method based on IR and comparison with radiographic appearance

Can centrifugation affect the morphology of polyethylene wear debris?

“…In 25 cases we correlated total amounts of wear particles with osteolysis in various zones around TJR [13], while the remaining results are being pro- Table 2); error bars were calculated as estimated standard deviations of the corresponding average. The columns are given in quadruplets; the columns in each quadruplet, from left to right, correspond to flotation, centrifugation at 500 × g, 16,000 × g and 105,000 × g, respectively.…”

Nanometer size wear debris generated from ultra high molecular weight polyethylene in vivo

“…Firstly, we used a well-established isolation technique, which had already been employed and perfected in our previous studies [12][13][14][15]. Secondly, the purity of the isolated PE particles on PC membranes was investigated by means of FTIR: comparison of IR spectra of pure PE, unused PC membrane and PC membrane with PE nanoparticles showed that all samples exhibited only peaks of PE and/or PC (Fig.…”

“…[11][12][13][14][15][16][17][18][19][20]). Particles coming from one of our typical samples of periprosthetic tissue are shown in Fig.…”

“…In our previous work, we focused on development of a reliable technique for sampling, isolation and quantification of in vivo UHMWPE wear particles in periprosthetic tissues [11][12][13][14][15]. More than 100 samples of periprosthetic tissues have been processed and both total amount and morphology of wear particles were determined.…”

Exploration of the size, shape and abundance of UHMWPE wear particles using atomic force microscopy

“…In most published studies the particle shapes and sizes are determined indirectly via size fractionation using filtration and imaging of the filter surface with scanning electron microscopy (SEM) [9][10][11][12][13][14]. Fractionated abundance distributions are often obtained by counting particles in characteristic SEM images.…”