scholarly journals Chemometric evaluation of Cd, Co, Cr, Cu, Ni (inductively coupled plasma optical emission spectrometry) and Pb (graphite furnace atomic absorption spectrometry) concentrations in lipstick samples intended to be used by adults and children

Talanta ◽  
2016 ◽  
Vol 150 ◽  
pp. 206-212 ◽  
Author(s):  
Érica Ferreira Batista ◽  
Amanda dos Santos Augusto ◽  
Edenir Rodrigues Pereira-Filho
Materials ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5136
Author(s):  
Marin Senila ◽  
Oana Cadar ◽  
Lacrimioara Senila ◽  
Sarah Böringer ◽  
Karine Seaudeau-Pirouley ◽  
...  

Palladium (Pd) and platinum (Pt) are extensively used as catalysts in the petrochemical and automotive industries, and due to high demand for them on the market, their recycling from spent supported catalysts is clearly needed. To assess the content of Pd and Pt in catalysts in order to establish their commercial value or to evaluate the recovery efficiency of technologies used for recycling, reliable analytical methods for determination of these elements are required. Spectrometric methods, such as inductively coupled plasma optical emission spectrometry (ICP-OES) and graphite furnace atomic absorption spectrometry (GFAAS) are powerful tools that can be employed for the determination of Pd and Pt in various sample matrices. However, these methods allow only the injection of liquid samples. In this regard, the digestion of solid sample by microwave-assisted acid extraction procedures at high pressures and temperatures is often used. In this study, a microwave acid digestion method was optimized for the extraction of Pd and Pt from spent catalysts, using a four-step program, at a maximum 200 °C. The resulting solutions were analyzed using ICP-OES, at two different wavelengths for each metal (Pd at 340.458 and 363.470 nm, and Pt at 265.945 and 214.423 nm, respectively) and using GFAAS (Pd at 247.64 nm, Pt at 265.94 nm). Five types of spent catalyst were analyzed and the standard deviations of repeatability for five parallel samples were less than predicted relative standard deviations (PRSD%) calculated using Horvitz’s equation for all the analyzed samples.


2018 ◽  
Vol 55 (5A) ◽  
pp. 143
Author(s):  
Nguyen Thi Thao

The metal contents of 19 tea leave samples, Camellia sinensis L., from Yen Bai and Tuyen Quang provinces were determined using inductively coupled plasma optical emission spectrometry (ICP-OES) and atomic absorption spectrometry (AAS). Total 18 elements in tea leaves were determined including macroelement such as Al, Ca, K, Mg, Mn; trace element such as Na, Ba, Fe, Cu, Sn, Zn, Se, Ni, B and heavy metal (Pb, Hg, Cd and metalloid As). The results show that, K content was the highest among the macroelement, followed by Mg, Ca, Mn and Al. There was a wide variation of the trace metal content among the tea leaves coming from different province. The levels of heavy metal content in most of the samples were not detectable or below the acceptable level as required by Ministry of Health.


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