diff --git a/pyproject.toml b/pyproject.toml
index 8ea8d5b..f047cde 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,10 @@ keywords = [
     "proteomics",
     "mass-spectrometry",
     "data-analysis",
-    "big data"
+    "big data",
+    "sdrf",
+    "sample-metadata",
+    "proteomics-pipeline"
 ]
 classifiers = [
     "Intended Audience :: Science/Research",
@@ -34,10 +37,11 @@ dependencies = [
 ]
 
 [project.urls]
+Homepage = "https://quantms.org"
+Documentation = "https://docs.quantms.org"
 GitHub = "https://github.com/bigbio/quantms-utils"
-PyPi = "https://pypi.org/project/quantms-utils/"
-Quantms = "https://quantms.org"
-LICENSE = "https://github.com/bigbio/quantms-utils/blob/main/LICENSE"
+"Bug Tracker" = "https://github.com/bigbio/quantms-utils/issues"
+PyPI = "https://pypi.org/project/quantms-utils/"
 
 [project.scripts]
 quantmsutilsc = "quantmsutils.quantmsutilsc:main"
diff --git a/quantmsutils/diann/diann2msstats.py b/quantmsutils/diann/diann2msstats.py
index d2903b0..0d238ea 100644
--- a/quantmsutils/diann/diann2msstats.py
+++ b/quantmsutils/diann/diann2msstats.py
@@ -166,7 +166,7 @@ def _parse_unified_design(exp_design_file):
 
     # Validate required columns
     required_cols = {
-        "Filename", "Fraction", "Sample", "Condition", "BioReplicate", "Label", "LabelType"
+        "Filename", "Fraction", "Sample", "Condition", "BioReplicate"
     }
 
     missing = required_cols - set(df.columns)
@@ -179,9 +179,10 @@ def _parse_unified_design(exp_design_file):
     df["run"] = df["Filename"].apply(_true_stem)
 
     # Multiplexing
-    if df["Label"].nunique() > 1:
+    if "Label" in df.columns and df["Label"].nunique() > 1:
+        labels_lower = df["Label"].astype(str).str.lower()
 
-        if "silac" in df["LabelType"].values:
+        if labels_lower.str.contains("silac").any():
             silac_dict = {
                 "SILAC light": "L",
                 "SILAC medium": "M",
@@ -189,6 +190,14 @@ def _parse_unified_design(exp_design_file):
             }
             df["Label"] = df["Label"].replace(silac_dict)
 
+        if labels_lower.str.contains("mtraq").any():
+            mtraq_dict = {
+                "MTRAQ0": "0",
+                "MTRAQ4": "4",
+                "MTRAQ8": "8",
+            }
+            df["Label"] = df["Label"].replace(mtraq_dict)
+
         f_table = df[["Filename", "Fraction", "Sample", "run", "Label"]].copy()
     else:
         f_table = df[["Filename", "Fraction", "Sample", "run"]].copy()
diff --git a/tests/test_commands.py b/tests/test_commands.py
index 021d5a1..79a1e89 100644
--- a/tests/test_commands.py
+++ b/tests/test_commands.py
@@ -378,9 +378,9 @@ def test_unified_format_validates_sample_consistency(self):
         with tempfile.TemporaryDirectory() as tmpdir:
             bad_file = os.path.join(tmpdir, "inconsistent_design.tsv")
             with open(bad_file, "w") as f:
-                f.write("Filename\tSample\tFraction\tCondition\tBioReplicate\n")
-                f.write("file1.raw\t1\t1\tCondA\t1\n")
-                f.write("file2.raw\t1\t1\tCondB\t2\n")  # Same Sample, different Condition
+                f.write("Filename\tSample\tFraction\tCondition\tBioReplicate\tLabel\tLabelType\n")
+                f.write("file1.raw\t1\t1\tCondA\t1\tlabel free sample\tlabel free\n")
+                f.write("file2.raw\t1\t1\tCondB\t2\tlabel free sample\tlabel free\n")  # Same Sample, different Condition
             with pytest.raises(ValueError, match="Inconsistent"):
                 get_exp_design_dfs(bad_file)