MOOC: Validation of liquid chromatography mass spectrometry (LC-MS) methods (analytical chemistry) course

Self-test 5.4C

1.

Sometimes calibration graph is used for estimating matrix effect. This approach additionally gives possibility to estimate if matrix effect is concentration dependent.

The analyst prepared two thiabendazole calibration graphs: one in pure solvent and another in the extract of blank matrix (apple).

Standard

Sample

C (mg/kg)

Signal

C (mg/kg)

Signal

0.045514

4729453

0.054981

2479148

0.09502

10239100

0.094095

2829679

0.125402

14069331

0.131234

5879648

0.175325

16628949

0.179036

6189080

0.225785

20635051

0.232482

8489240

0.281598

23964984

0.28458

11626711

0.335968

29837123

0.327439

11796479

0.386379

30453933

0.371094

15791685

0.481088

37769230

0.487316

21413804

 

Question 1: Estimate matrix effect based on calibration graph slopes!

Please give the answer in percents with one decimal place and please use dot as decimals separator (i.e. please give 91.7% and not 0.917; 91|7% or 91.765%). Please do not add % in the gap as the % mark is already given after the gap.

Answer: %

Question 2: Is the matrix effect independent of analyte concentration?

Question 1 of 3

2.

Glyphosate was analyzed in the lake water with high organic content. The analyses contained sample purification and concentration with solid phase extraction (SPE). However there was a strong suspicion that a strong matrix effect may occur. To test this suspicion a blank sample extract was treated with SPE and the obtained extract was deviated into small parts. Each part was spiked with analyte on a known concentration level (similar to matrix matched calibration). Also the standard solutions at the same concentration levels were prepared. After the LC-MS analyses following results were obtained:

c (µg/L)

Signal, standard

Signal, spiked sample

2

15931

6002

5

35198

15171

10

73501

25734

15

115041

37313

20

129941

55175

50

361007

124671

 

Calculate the matrix effect based on the calibration graph slopes. 

Please give the answer in percents with one decimal place.

Question 2 of 3

3.

Standard addition is one possibility to account for matrix effect. However it assumes that matrix effect is a proportional effect independent of the analyte concentration. In order to control this assumption analyst prepared both standards and post-extraction spiked samples at analyte concentration of 10 and 2.5 mg/kg.

Following results were observed:

Standard 10 mg/kg

Sample 10 mg/kg

Standard 2.5 mg/kg

Sample 2.5 mg/kg

7832180

6964080

2406174

827948

7718368

6722779

2434535

854663

7822817

7387993

2586852

764868

 

Question 1: Estimate matrix effect for 10 mg/kg and 2.5 mg/kg from the measured signals. 

Please give the answer in percents with one decimal place and please use dot as decimals separator (i.e. please give 91.7% and not 0.917; 91|7% or 91.765%). Please do not add % in the gap as the % mark is already given after the gap.

Matrix effect (10 mg/kg)

%

Matrix effect (2.5 mg/kg)

%

Question 2: Can standard addition be used in this case in order to account for matrix effect?  

Question 3 of 3