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The resistivity of ultrapure water is a core indicator of its purity. Theoretically, the resistivity of ultrapure water can reach 18.2 MΩ·cm at 25°C. However, offline sampling and testing almost never yields accurate values, therefore offline testing is consistently discouraged in the industry.
Firstly, ultrapure water readily absorbs impurities from the air. When exposed to air, its resistivity drops instantly, rapidly absorbing carbon dioxide, ammonia, and trace amounts of salt. Carbon dioxide dissolves in water to form carbonate and bicarbonate ions, while ammonia forms ammonium ions. These ions directly increase the conductivity of the water, causing the resistivity to drop from 18.2 MΩ·cm to below 10 MΩ·cm, or even lower, within minutes. Air contact is unavoidable during sampling, transfer, and testing, meaning the measured values no longer reflect the true purity of the water from the equipment.
Secondly, sampling containers and operations introduce secondary contamination. Even clean beakers and pipettes may retain trace amounts of ions and organic matter. Ultrapure water is extremely sensitive to impurities; even trace amounts of contamination invisible to the naked eye can cause significant deviations in resistivity. Finally, offline monitoring cannot reflect real-time water quality, rendering it meaningless. The purity of ultrapure water from ultrapure water systems is dynamic—resistivity fluctuations occur during initial startup, filter aging, and pipeline residue. Offline monitoring provides a "static snapshot at a specific moment"; by the time samples are taken, delivered to the monitoring end, and the operation is completed, the water quality may have recovered or changed, making the data unreliable for the actual water quality at the current point of use. In contrast, online resistivity monitoring, with the probe directly installed at the water source, captures data in real time, accurately reflecting water quality and providing timely warnings of contamination.
In short: Ultrapure water is too "delicate," and offline monitoring suffers from air adsorption, container contamination, and time delays, all of which distort the data.
