2018
DOI: 10.1007/s12161-018-1171-8
|View full text |Cite
|
Sign up to set email alerts
|

Multivariate Optimization for the Development of a Fast and Simple Ultrasound-Assisted Extraction Procedure for Multielemental Determination in Tea Leaves by Inductively Coupled Plasma Optical Emission Spectrometry (ICP OES)

Abstract: The current study describes a fast and efficient procedure of ultrasound-assisted extraction for determination of Ca, Mg, K, Na, Cu, Zn, Mn, and Al in tea leaves by inductively coupled plasma optical emission spectrometry (ICP OES). The variables of procedure were optimized using the Box-Behnken design and the conditions selected were nitric acid concentration (1.0 mol L −1), sonication time (7 min), and sonication temperature (75°C). The extraction efficiency was calculated using the analyte concentration obt… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 48 publications
0
2
0
Order By: Relevance
“…Parameters were chosen that resulted in the highest increase of the SNR for both Pb and Ba. When the data is a good fit for the Box‐Behnken design, then the mean square of lack of fit should reflect only the random error in the model and not be statistically different from the mean square of the pure error; in other words, the two errors should be comparable 40 . The P value for the design was greater than the alpha level of 0.05 and indicated the difference between the model data and the experimental data was not significantly different.…”
Section: Resultsmentioning
confidence: 99%
“…Parameters were chosen that resulted in the highest increase of the SNR for both Pb and Ba. When the data is a good fit for the Box‐Behnken design, then the mean square of lack of fit should reflect only the random error in the model and not be statistically different from the mean square of the pure error; in other words, the two errors should be comparable 40 . The P value for the design was greater than the alpha level of 0.05 and indicated the difference between the model data and the experimental data was not significantly different.…”
Section: Resultsmentioning
confidence: 99%
“…2 Consequently, elemental analysis of plant tissues is essential from an agronomic point of view in sustainable and physiological studies. 3,4 Commonly, the assessment of nutrient element concentration in plant tissue is performed by spectroanalytical techniques, including ame atomic absorption spectrometry (FAAS), 5 inductively coupled plasma optical emission spectrometry (ICP OES), 6 and inductively coupled plasma-mass spectrometry (ICP-MS). 7 In general, these techniques require sample acid digestion to convert the solid material into a homogeneous aqueous solution.…”
Section: Introductionmentioning
confidence: 99%