diff --git a/alphabase/constants/const_files/psm_reader.yaml b/alphabase/constants/const_files/psm_reader.yaml
index 98959217..e6da43e0 100644
--- a/alphabase/constants/const_files/psm_reader.yaml
+++ b/alphabase/constants/const_files/psm_reader.yaml
@@ -314,17 +314,23 @@ spectronaut_report:
   fixed_C57: False
   column_mapping:
     'raw_name': 'R.FileName'
+    'sequence': 'PEP.StrippedSequence'
     'rt': ['EG.ApexRT','EG.MeanApexRT']
-    'mobility': ['FG.ApexIonMobility']
-    'proteins': ['PG.ProteinNames','PG.ProteinGroups']
-    'genes': 'PG.Genes'
+    'charge': ['charge', 'FG.Charge']
+    'mobility': 'FG.ApexIonMobility'
+    'proteins': ['PG.ProteinNames','PG.ProteinGroups', 'PG.ProteinAccessions']
+    'precursor_mz': 'FG.PrecMz'
     'uniprot_ids': 'PG.UniProtIds'
-    'charge': 'charge'
+    'genes': ['PG.Genes', 'PG.ProteinNames']
+    'fdr': 'EG.Qvalue'
+    'intensity': 'EG.TotalQuantity (Settings)'
+    'precursor_intensity': 'EG.TotalQuantity (Settings)'
   mod_seq_columns:
     - 'ModifiedSequence'
+    - 'EG.PrecursorId'
+  modification_mapping_type: 'maxquant'
   precursor_id_columns:
     - "EG.PrecursorId"
-  modification_mapping_type: 'maxquant'
 
 spectronaut:
   reader_type: spectronaut
diff --git a/alphabase/psm_reader/dia_psm_reader.py b/alphabase/psm_reader/dia_psm_reader.py
index 3e6e8bae..cc0adfc3 100644
--- a/alphabase/psm_reader/dia_psm_reader.py
+++ b/alphabase/psm_reader/dia_psm_reader.py
@@ -126,9 +126,11 @@ class SpectronautReportReader(ModifiedSequenceReader):
 
     def _pre_process(self, df: pd.DataFrame) -> pd.DataFrame:
         """Spectronaut report-specific preprocessing of output data."""
-        df[[self.mod_seq_column, PsmDfCols.CHARGE]] = df[
-            self._precursor_id_column
-        ].str.split(".", expand=True, n=2)
+        # In case charge state column is missing, we splice it out of the precursor id column
+        if PsmDfCols.CHARGE not in df.columns:
+            df[[self.mod_seq_column, PsmDfCols.CHARGE]] = df[
+                self._precursor_id_column
+            ].str.split(".", expand=True, n=2)
         df[PsmDfCols.CHARGE] = df[PsmDfCols.CHARGE].astype(np.int8)
         return df