Around 2010, when Agilent was changing the EI filament part numbers multiple times, we had started to seen many problems with EI filaments. The problem was that at some point we would suddenly get a large number of low response data points for repeated standard measurements. At times the response would jump back up to where one would expect. It would randomly alternate like this, resulting in horrible precision, which could go one for weeks if not caught by the operator. Eventually the filament would die. In essence, instead of working well and then suddenly dying, the filaments would work well, then produce bad data for days to weeks, and then eventually die. Another problem was that the usable filament lifetime dropped by around 25%. All of my colleagues had similar problems.
It seems that SIS has an explanation for the problems:
https://www.sisweb.com/referenc/applnot ... arping.htm
We were advised to try Agilent CI filaments, which we did. Those worked great for us for a few years, even though we work in EI mode. Since CI filaments are straight and under tension, they have less of a tendency to sag/deform/warp than the curly EI filaments, which was apparently avoiding the problems that the EI filament had developed.
Unfortunately, around mid-2010, the performance of CI filaments also started to randomly deteriorated for us. Instead of regularly lasting up 6 or even 20 month, we suddenly had many CI filament failing in days or weeks or we could not properly tune the MSD with them, or they would just produce horrible precision from the start. Also, we noticed that we cannot predict anymore from one good (bad) filament whether other filaments from the same batch are good (bad). That used to work, not anymore. We also noticed that several CI filaments were not straight and those performed really bad.
We also tried the G7005-80000 filaments in 2021, but they produced artifacts for us. Since some of my colleagues recently reported good experience with them, so we may try them again. But they are even more expensive.
Overall, the experience is very frustrating and costly.
Has anyone found a solution?