When precision matters, your sampling equipment needs to be as reliable as your results. Meet the 16oz amber straight-sided jar engineered for professionals who demand uncompromising quality and sample integrity. Whether you're collecting environmental samples, pharmaceutical specimens, or chemical analyses, this jar system is designed to preserve your work from collection through analysis.
What makes this jar stand out is its PTFE lined polypropylene cap - the gold standard for preventing sample contamination. The PTFE lining creates an inert barrier that won't react with your samples, ensuring that what you collect stays pure. This is particularly crucial for sensitive analyses where even trace contaminants could skew your results. The 89-400 threading provides a secure, leak-proof seal that withstands transport and handling.
The amber glass isn't just for aesthetics - it serves a critical function in protecting light-sensitive compounds from UV degradation. Your samples remain stable and true to their original composition, which is essential for accurate analysis and reproducible results. The straight-sided design makes pouring, measuring, and cleaning effortless, while the generous 16oz capacity gives you plenty of room for comprehensive sampling without being cumbersome.
Each case includes 12 jars that are certified to EPA sampling standards, giving you the confidence that your equipment meets rigorous quality requirements. This certification isn't just paperwork - it's your assurance that these jars perform consistently across your most critical applications. From environmental monitoring to quality control in manufacturing, these jars deliver reliable performance when it matters most.
Imagine collecting samples with complete confidence, knowing your equipment won't compromise your work. These jars become part of your quality assurance system, helping you maintain consistency and accuracy across all your sampling protocols. When you're in the business of precise measurements and reliable results, your tools should be an extension of your expertise - not a variable in your equation.
