diff --git a/tests/testthat/_snaps/analyse_SAR.TL.md b/tests/testthat/_snaps/analyse_SAR.TL.md
index 18ae3604d..253a1d65c 100644
--- a/tests/testthat/_snaps/analyse_SAR.TL.md
+++ b/tests/testthat/_snaps/analyse_SAR.TL.md
@@ -36,12 +36,12 @@
                 {
                   "type": "double",
                   "attributes": {},
-                  "value": [415.65648039]
+                  "value": [405.57635798]
                 },
                 {
                   "type": "double",
                   "attributes": {},
-                  "value": [182.01761352]
+                  "value": [198.54370797]
                 },
                 {
                   "type": "character",
diff --git a/tests/testthat/test_analyse_SAR.TL.R b/tests/testthat/test_analyse_SAR.TL.R
index 4770a9dde..f28630e3d 100644
--- a/tests/testthat/test_analyse_SAR.TL.R
+++ b/tests/testthat/test_analyse_SAR.TL.R
@@ -1,9 +1,6 @@
 ## load data
 data(ExampleData.BINfileData, envir = environment())
 
-## set seed as we are using expect_snapshot
-set.seed(1)
-
 ## transform the values from the first position in a RLum.Analysis object
 object <- Risoe.BINfileData2RLum.Analysis(TL.SAR.Data, pos = 3)
 
@@ -30,6 +27,7 @@ test_that("Test examples", {
 
   ##perform analysis
   SW({
+  set.seed(1) # set seed as we are snapshotting
   expect_snapshot_RLum(
     analyse_SAR.TL(
       object,
@@ -40,6 +38,7 @@ test_that("Test examples", {
     )
   )
 
+  set.seed(1) # set seed as we are snapshotting
   expect_snapshot_RLum(
     analyse_SAR.TL(
         list(object, object),
@@ -50,6 +49,7 @@ test_that("Test examples", {
         sequence.structure = c("SIGNAL", "BACKGROUND"))
   )
 
+  set.seed(1) # set seed as we are snapshotting
   expect_warning(
   expect_snapshot_RLum(
     analyse_SAR.TL(
@@ -63,6 +63,7 @@ test_that("Test examples", {
     "log-scale needs positive values; log-scale disabled"
   )
 
+  set.seed(1) # set seed as we are snapshotting
   expect_warning(
   expect_snapshot_RLum(
     analyse_SAR.TL(object, signal.integral.min = 2, signal.integral.max = 3,