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Description
Test StripsEach Test Paper variant is tailored for its intended purpose relevant specific areas of science or laboratory work. These are used in fields such as chemistry, biochemistry, nutrition, environmental science, etc. Ascorbic Acid Test Paper: Used for qualitative analysis of the presence or concentration of ascorbic acid (Vitamin C) in a solution Cobalt Chloride Test Paper: Can accurately identify the level of moisture present with a humidity level of 50%
Each Test Paper variant is tailored for its intended purpose relevant specific areas of science or laboratory work. These are used in fields such as chemistry, biochemistry, nutrition, environmental science, etc.
- Ascorbic Acid Test Paper: Used for qualitative analysis of the presence or concentration of ascorbic acid (Vitamin C) in a solution
- Cobalt Chloride Test Paper: Can accurately identify the level of moisture present with a humidity level of 50% or higher
- Congo Red Test Paper: Used to test narrow-range acidic solutions for metal plating where pH values are very low (pH 1.0-3.0)
- Fluoride Red Test Paper: Detects Fluoride in steps of 0, 10, 25, 50, and 100ppm. The tested solution must have a pH of 0.5.
- Lipid / Fat Test Paper: Detects the presence of Lipids: Fats, Oils, Waxes. This may include hydrophobic molecules, sterols, and fat-soluble vitamins, including Vitamins A, D, E, and K, as well as Cholesterol.
- Glucose Test Paper: Detects 0.1 – 2.0% glucose. This tool is ideal for determining glucose levels in experiments involving osmosis and diffusion, as well as educational urine analysis and food science studies.
- Lead Acetate Test Paper: Detects Hydrogen Sulfide in water in concentrations as low as 5ppm
- High-Level QAC Test Strip: The High-Level QAC Test Strip (Quaternary Ammonium Compounds) measures the range of 1-1500 ppm in increments of 200, 400, 750, 1000 and 1500 ppm, and gives results in just seconds. Check for higher levels of QAC when testing stronger solutions that kill pathogenic organisms, as opposed to testing for residual QAC with our Low Level QAC test strip, or our standard QAC Quick Response Test Strip.
Brand: Precision Labs
| Product Code | Type | Strips | Description |
| SE.LW3750-01 | Ascorbic Acid | 50 | |
| SE.LW3757-01 | Cobalt Chloride | 100 | Read instructions |
| SE.LW.3767-01 | Congo | 100 | Solution must be water-based |
| SE.LW3728-01 | Fluoride | 100 | |
| SE.LW3778-01 | Lipid / Fat | 75 | |
| SE.LW3729-01 | Glucose | 40 | |
| SE.LW3777-01 | Lead Acetate | 100 | Doesn't cross-react w/thiols, thioketones or mercaptans |
| SE.LW729-02 | GLUCOSE 0-3000mg |
50 |
The Glucose test strip is specific to testing glucose |
| SE.LAB.QAC.1500 |
QAC 1-1500PPM (200PPM increments) |
100 |
Quaternary Ammonium Compounds Test Strips |
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4.2 ★★★★★
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025