2008
DOI: 10.1080/10408340701804434
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Wear Metal Analysis of Oils

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Cited by 43 publications
(23 citation statements)
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“…The majority of analytical methods of designating heavy metals in lubricating oils that are described in literature are based on atomic spectrometry techniques such as: [12][13][14][15]. However, the methods require special sample preparation, which are usually laborious [15].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The majority of analytical methods of designating heavy metals in lubricating oils that are described in literature are based on atomic spectrometry techniques such as: [12][13][14][15]. However, the methods require special sample preparation, which are usually laborious [15].…”
Section: Resultsmentioning
confidence: 99%
“…However, the methods require special sample preparation, which are usually laborious [15]. An attractive alternative to those mentioned above is x-ray fluorescence (XRF), which does not require complicated sample preparation [16][17][18][19][20].…”
Section: Resultsmentioning
confidence: 99%
“…For lubricant oils analysis, their chemical composition and size of particles in wear remains could determine the method of choice. Organic solvents have been used by several authors to dissolve oil samples, as the same time as ICP-OES has been chosen for trace elements determination [10,17,25,26]. The main drawback of this sample preparation is that many times, large solid particles present in used lubricants are complicated to dissolve, resulting in sensitivity loss in the nebulization, atomization and detection of wear metals by ICP-OES.…”
Section: Instrument and Sample Optimizationmentioning
confidence: 99%
“…Wear analysis has gained commercial interest and several analytical methodologies based on atomic spectrometric techniques have been developed to determine elemental composition of lubricants [1,3,[6][7][8][9][10][11]. Thus, chemical data from lubricant analysis reveals the presence and amount of metallic wear particles in the lubricating.…”
Section: Introductionmentioning
confidence: 99%
“…Spectrographic oil analysis (SOA) is effective for wear debris analysis with size under 10µm [7].Off-line…”
Section: Introductionmentioning
confidence: 99%