SST Thermo Lemon Iced Tea
Performix

SST Thermo Lemon Iced Tea

A
N+ Score92
Pre-WorkoutServing: 3 Gram(s) [1-3 scoops]Type: Other Combinations [A1325]

Performix SST Thermo Lemon Iced Tea is a pre-workout supplement designed to support energy, focus, and performance. Featuring CarnoSyn, Citrulline Malate, Caffeine, and Betaine, it aids in enhancing workout capacity and thermogenesis for individuals seeking to optimize their training.

About This Product

SST Thermo Lemon Iced Tea by Performix is a pre-workout supplement containing 9 active ingredients. It has earned an N+ Score of 92/100 (Grade A).

This product features a fully transparent label with individual ingredient amounts disclosed, and key ingredients are present at clinically effective doses based on peer-reviewed research.

Notable clinical-dose ingredients include CarnoSyn, Citrulline Malate.

N+ Score Breakdown

Ingredient Adequacy100/100

Are key ingredients present at clinically effective doses based on research?

Formula Completeness67/100

Does the product include all expected ingredients for its supplement category?

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity100/100

Does the formula include a breadth of beneficial compounds from multiple pathways?

Strengths

  • +Key ingredients at clinically effective doses
  • +Fully transparent label with individual ingredient amounts disclosed
  • +Broad ingredient diversity exceeding category norms
  • +2 ingredient(s) at clinical dose levels

Weaknesses

  • No major weaknesses identified

Ingredient Analysis (9 ingredients)

IngredientAmountDose Adequacy
CarnoSyn1334.000 mgHigh
Citrulline Malate2000.000 mgHigh
Bioperine3.400 mgN/A
Caffeine Anhydrous216.000 mgN/A
Betaine Anhydrous1000.000 mgN/A
TeaCrine34.000 mgN/A
Dynamine50.000 mgN/A
Huperzia serrata6.600 mgN/A
Cayenne Pepper fruit extract0.600 mgN/A

Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.