SKU: 67007294515

Seachem Reef Nitrogen

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Description

Seachem Reef NitrogenSeachem Reef Nitrogen Seachem Reef Nitrogen is a nitrogen supplement for reef aquariums that provides nitrogen in a fully testable form to support the metabolic processes, protein synthesis, and growth of corals and macroalgae. Nitrogen Supplement for the Reef Aquarium Provides Nitrogen in a fully testable form Concentrated 25,000 mg L Nitrogen (110,750 mg L Nitrate) Nitrogen is an essential element required in metabolic processes, protein synthesis,

Seachem Reef Nitrogen

Seachem Reef Nitrogen is a nitrogen supplement for reef aquariums that provides nitrogen in a fully testable form to support the metabolic processes, protein synthesis, and growth of corals and macroalgae.

  • Nitrogen Supplement for the Reef Aquarium
  • Provides Nitrogen in a fully testable form
  • Concentrated 25,000 mg/L Nitrogen (110,750 mg/L Nitrate)

Nitrogen is an essential element required in metabolic processes, protein synthesis, and growth of corals and macroalgae. Research suggests a tightly closed nitrogen cycle on reefs where concentrations are higher in micro-zones near the corals (Radecker 2015, Wiedenmann, 2023) than in the surrounding water. 

It is important to maintain nitrogen levels along with phosphorus levels in order to allow for optimal growth and coloration of corals and macroalgae.

Supplementing with inorganic nitrogen provides a targeted means of increasing nitrogen without also adding phosphate or dissolved organics. A typical nitrate test will show all forms of nitrogen being added by Reef Nitrogen™. Reef Nitrogen™ is ideally suited for use with an aquavitro® sentia™ dose doser to maintain nitrogen at consistent concentration based on your aquarium's unique demand. Reef Nitrogen™ is easily dosed manually as well. Ideal nitrogen levels will vary but generally range from 1 – 2 mg/L (4.4 – 8.9 mg/L nitrate). Use Seachem’s Reef Phosphorus™ to achieve a balance of nitrogen to phosphorus levels for optimal results.

Directions:
Beginner
Use 1 cap (5 mL) per 160 liters (40 US gallons) twice a week or as needed to maintain desired nitrate levels. For new aquariums or aquariums with low populations of coral use ¼ to ½ dose initially and gradually increase as necessary.

Advanced
The beginner dose raises nitrogen by 0.78 mg/L or approximately 3.5 mg/L nitrate. To target a specific nitrate level, increase dose according to the following formula: 0.009vn=m where v= volume of tank in liters, n=desired nitrate increase, and m= volume of product to use in mL. For example, to raise 160 liters by 3.5 mg/L nitrate you would use 0.009*160*3.5 resulting in 5 mL to dose. For reference: 1 US gallon=3.8 L.

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SKU: 67007294515

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Jason Bolton
Natrona Heights, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
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James Gianoglio
Alexandria, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
M
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Matt B
Bozeman, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
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SR
Natrona Heights, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
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K. Wain
Massapequa, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026

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