The three different bottle types all display different correlations between bottle dimensions/geometry and transpiration rate, and the most strongly correlated parameters are in bold text in Tables 3-5. It is interesting to note that while LDPE and HDPE bottles transpire at different rates, there is no difference between the two regarding bottle dimensions. LDPE bottles show the strongest correlations with transpiration rates when comparing the circumference of the bottle opening to either the cross-sectional area of the bottle or the area of the bottle top. HDPE bottles correlate best when comparing the circumference of the bottle opening to either the total surface area of the bottle body or the area covered by liquid in a full bottle. For borosilicate bottles the only bottle parameter that comes close to correlating with transpiration rates is the ratio of bottle opening area to the volume of liquid.
The data indicates that transpiration rates are functions of bottle dimensions and geometry, and the fact that different correlations exist suggests that different mechanisms of transpiration are occurring for different bottle types.
VII. Does water vapor only transpire around the bottle cap or can it pass through bottle walls?
We cannot definitively answer that question with the data from this study, but there are arguments to suggest that transpiration can occur through the walls of LDPE and HDPE bottles. To our knowledge, transpiration through borosilicate glass has not been observed or described.
One factor is that if water vapor transpired solely through the bottle cap/opening then it would be reasonable to expect LDPE and HDPE bottles to have similar transpiration rates, particularly considering that LDPE and HDPE bottle caps are interchangeable, being both of the same size and material (polypropylene, PP). Another compelling consideration is that the packaging industry has described transpiration rates (typically referred to as moisture/water vapor transmission rates) for different polymers including LDPE and HDPE, and ASTM International has described several test methods for measuring transpiration effects in polymers and plastic films. While more research is necessary to completely characterize transpiration through the wall of a LDPE or HDPE bottle containing a CRM, it appears likely that the overall transpiration rates we observe are a function of both 'around-the-cap' and 'through-the-wall' mechanisms.
Conclusions
The transpiration of water from polyethylene and borosilicate glass bottles can be significant enough to generate measurable systematic errors in the certified values of a CRM over time periods as short as a few months. Variables affecting the rate of transpiration include commonly expected ones such as the storage temperature, but other factors such as the torque applied to the cap are also important. The results of these studies are consistent with previous research (see TCT Overview for more information), and factors influencing transpiration rates can be summarized as follows:
- Storage temperature – lower storage temperatures decrease transpiration rates.
- Container material – observed transpiration rates are highest for LDPE, significantly lower for HDPE, and lowest for borosilicate glass. The distinct advantage of LDPE is that it is much cleaner than other commonly used plastics (including fluorinated polymers such as FEP and PFA).
- Container size – Regardless of the container material, smaller bottles transpire faster than larger bottles of the same material.
- Opening frequency – The more often a bottle is opened, the greater the transpiration rate.
- Container fill level – Transpiration rates increase as the amount of liquid in a bottle decreases.
- Cap torque – The torque applied to the cap of a bottle can have a significant effect on transpiration rates, to the extent that severely torqued caps generate accelerated transpiration rates.
- Solution matrix – The matrix of the solution stored in a bottle affects transpiration rates. Higher acid contents appear to inhibit transpiration, with pure water matrices exhibiting the highest transpiration rates.
- Container dimensions and geometry – Transpiration rates for different bottle materials correlate with different bottle regions, suggesting that the exact transpiration mechanisms are unique for different bottle materials.
- Cap vs. Walls? – Previous research concluded that transpiration around the bottle cap was the dominant mechanism for LDPE bottles. However, when combined with information from other industries, the data from this study suggests that transpiration may also occur through the bottle walls for polyethylene containers. This effect is an active area of research to be addressed in future transpiration studies.
Future Work
While this research addressed several questions regarding the factors that affect transpiration rates, the data also raised additional questions. Future work at Inorganic Ventures regarding transpiration effects and mechanisms will include:
- Cap torque – More data is required to fully characterize this effect, and the initial study needs to be extended to incorporate HDPE and borosilicate bottles.
- Cap design? – The interface between the cap and the bottle appears critical in determining overall transpiration rates. Could a different cap material or cap design (e.g., a cap liner) decrease the transpiration rate?
- Matrix effect – The significance of the solution matrix upon transpiration rates seems evident, but this research focused on extremes in matrix composition (i.e., high acid contents compared to water). Characterizing intermediate matrices to fully describe this effect is warranted, which also raises the question 'does the certified analyte and/or its concentration have any effect upon the transpiration rate?'
- Cap vs. Walls – Isolating different bottle regions and measuring transpiration rates specific to these regions is a research focus, as the relative importance of the different bottle parts to overall transpiration rates is poorly characterized at this time.
- Can transpiration be predicted? – Is it possible to develop a mathematical relationship that would incorporate the dominant factors affecting transpiration rates? If so, could this equation be used to calculate transpiration rates with specified uncertainties?