9.14
A preparação da amostra é uma etapa essencial no processo analítico. Ela envolve preparar uma amostra para que ela possa ser analisada com precisão. O…
A preparação da amostra é uma etapa crítica na obtenção de resultados de análise precisos. Compreende três objetivos principais: extração, purificação e concentração.
Em primeiro lugar, a extração envolve o isolamento de uma mistura com o analito de interesse de uma matriz de amostra. Em segundo lugar, se estiverem presentes substâncias interferentes, estas são removidas para obter uma amostra pura. Em terceiro lugar, se a substância a analisar extraída for de baixa concentração, é concentrada a um nível que possa ser detectado com precisão.
As formas comuns da amostra são sólidas, líquidas e gasosas. Pedaços sólidos grandes demais para serem analisados diretamente são pulverizados por métodos físicos, como moagem, trituração e moagem.
Peneirar e misturar esta mistura resulta em um pó fino homogêneo, que é então seco e dissolvido em um solvente adequado para extrair o analito para a solução.
Ao contrário dos sólidos, as suspensões líquidas são filtradas ou centrifugadas antes da análise para remover partículas sólidas impuras.
Como os adsorventes sólidos adsorvem seletivamente o analito gasoso, a preparação da amostra não é necessária para os gases.
View the full transcript and gain access to JoVE Core videos
Q1: What are the three main objectives of sample preparation in analytical chemistry?
Sample preparation has three core objectives: extraction isolates the analyte of interest from the sample matrix, purification removes interfering substances to obtain a pure sample, and concentration increases low-concentration analytes to detectable levels. These steps ensure accurate analysis results by preparing the sample for measurement.
Q2: How should solid samples be prepared before analysis?
Large solid samples are reduced in size using grinding, crushing, or milling to increase surface area. The resulting mixture is then sieved and blended to create a homogeneous fine powder. This powder is dried and dissolved in a suitable solvent to extract the analyte into solution for accurate detection.
Q3: What methods are used to prepare liquid samples containing suspended particles?
Liquid samples with suspended solids or precipitates are treated using filtration or centrifugation. Filtration passes the liquid through a filter to remove impurities, while centrifugation uses spinning force to separate solids from the liquid phase. Both methods purify the sample before analysis.
Q4: Why is solvent selection important in sample preparation?
Solvent choice depends on the analyte's nature and the solubility characteristics of sample components. Selecting an appropriate solvent ensures effective extraction of the analyte from the solid matrix while minimizing interference from other substances. This directly impacts the accuracy and reliability of analytical results.
Q5: What happens when an analyte is present in trace amounts?
When analytes are present in trace amounts, liquid samples undergo concentration steps to increase analyte concentration for better detection. This pretreatment improves the signal strength and allows accurate measurement of low-level substances that would otherwise fall below the instrument's detection limit.
Q6: Do gaseous samples require sample preparation before analysis?
Gaseous samples typically require no sample preparation before analysis. Since solid sorbents selectively adsorb gaseous analytes, gas samples can be directly introduced into the analytical instrument without pretreatment. This streamlined approach makes gas analysis significantly more efficient than solid or liquid sample preparation.
Q7: How does sample preparation relate to advanced analytical techniques?
Proper sample preparation is foundational to all analytical work. While basic techniques like grinding and filtration are covered here, more specialized methods exist for complex samples. Learning sample preparation for analysis advanced techniques builds on these fundamentals to handle challenging matrices and improve analytical performance.