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Review Ho & Gao


Table 3. Stability evaluations for surrogate matrix tissue method. Categories


Solution


Stability type Bench-top Long-term Other†


Homogenate/surrogate Bench-top


Freeze–thaw Long-term Other


Extract (Whole) tissue


Autosampler Other


Bench-top


Freeze–thaw Long-term Other†


In surrogate matrix In tissue NA NA NA ✓ ✓ ✓ ✓ ✓ ✓


NA NA NA ✓


importantly introduces risk to analytical accuracy and precision due to the batch to batch variation.


Establishing surrogate matrix validity In order to obtain accurate results, the validity of surrogate matrix must be established prior to sample analysis. Interestingly, this seeming obvious fact has not received due attention. To our knowledge, there have not been any writings that summarize the com- mon methodologies for establishing the validity of a surrogate matrix. Many authors omit this topic in their manuscripts completely. When the topic is discussed in the manuscript, it is always under one of the assay per- formance headings, such as calibration, linearity, pre- cision and accuracy, recovery and matrix effect. In the following paragraphs, we summarize the four common methodologies reported in the literature and describe each in some detail. We hope the summary will help one to select the most suitable method for establishing surrogate matrix validity. Method 1: comparing the slopes of calibration


curves. Under this method, calibration curves are pre- pared in surrogate matrix and authentic tissue homog- enate and the slopes of the calibration curve of each matrix are compared [2]. Similar slopes (i.e., paral- lel curves) indicate similar recovery, which indicates that the surrogate matrix is suitable. An example for this method can be found in the validation of the LC–MS/MS method for the determination of tes- tosterone (T) and dihydrotestosterone (DHT) in rat prostate tissue via compound derivatization [17]. As shown in Table 4, the slopes of T- and DHT-derivatives were very similar between the matrix and the solvent


2422 Bioanalysis (2015) 7(18)


NA NA NA ✓ ✓ ✓ ✓ ✓ ✓ – – –





†Other stability may include analyst stability under thermal and photo conditions and derivatization product stability. ✓: Should be evaluated; NA: Not applicable.


proving the surrogate matrix is valid. In most cases, once the similarity of the slope was demonstrated, the assay precision and accuracy are evaluated in surrogate matrix only [11,29]. In certain cases, no further precision and accuracy experiments were performed since the results of the calibration curve do infer some knowl- edge of assay precision and accuracy [4]. This method uses a limited amount of authentic tissue to establish the validity the surrogate matrix. In addition, it gener- ates information on linearity, precision and accuracy in authentic tissue. We consider it is a good approach for limited authentic tissue and time. The shortcoming of this method is that there are no generally agreed upon acceptance criteria to determine how similar a slope is sufficient. One approach is to use the student t-test to assess the slope similarity statistically [29]. The accep- tance criteria for this method are certainly an area that requires further research. Method 2: evaluating the accuracy of QC samples.


Under this method, the calibration curve is prepared in surrogate matrix but QC samples are prepared in surrogate matrix and in authentic tissue homogenate. Acceptable accuracy for QC prepared in both matri- ces indicates the surrogate matrix is suitable. Teunis- sen used this method for simultaneous analysis of 2-amino-1-methyl-6-phenylimidazo[4–5-b]pyridine (PhIP) and its main metabolite 2-hydroxyamino- 1-methyl-6-phenylimidazo[4,5-b]pyridine (N-OH- PhIP) in brain, kidney, liver, small intestinal content, small intestinal tissue, spleen and testis from mice [27]. The surrogate matrix for the tissue homogenate was 4% BSA. Since both analytes are not endogenous, the assay accuracy is easily confirmed by spiking PhIP and


future science group


In solvent ✓ ✓ ✓


NA NA NA NA NA NA NA NA NA NA


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