Mass spectrometer ion multiplier noise filter based on an analog delay device

Doerfler, D. L.; Campbell, I.

doi:10.1021/ac50029a053

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While to a high degree this is due to the inherent noise associated with the ion multiplier, quality can also be degraded as a result of changes in chromatographic conditions, such as carrier flow rate and column bleed, during an analysis. A number of investigators have reported filtering systems to improve the signal to noise ratio (S/N) (1)(2)(3)(4)(5)(6)(7)(8)(9)(10). Hieftje summarized several instrumental methods for enhancing S/N (1,2), and Doerfler and Campbell reported the use of an analog delay device for on-the-fly reduction of ion multiplier noise (3).…”

Section: Introductionmentioning

confidence: 99%

“…A number of investigators have reported filtering systems to improve the signal to noise ratio (S/N) (1)(2)(3)(4)(5)(6)(7)(8)(9)(10). Hieftje summarized several instrumental methods for enhancing S/N (1,2), and Doerfler and Campbell reported the use of an analog delay device for on-the-fly reduction of ion multiplier noise (3). The ability to postprocess gas chromatography /mass spectrometry (GC/MS) data sets allows for the use of software noise filters to improve signal to noise, peak shape, and spectral quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Noise reduction of gas chromatography/mass spectrometry data using principal component analysis

Lee¹,

Headley²,

Hardy³

1991

Anal. Chem.

View full text Add to dashboard Cite

Principal component analysis has been evaluated as a digital filter to Improve the overall quality of gas chromatography/ mass spectrometry (GC/MS) data sets. Data are Initially read Into a matrix, scaled, and then processed by using the NI-PALS algorithm, which Is used to separate signal from the matrix. A new matrix Is then reconstructed as the difference between the original and residual matrices, which Is then rescaled and a new data file created. By use of a six-component solvent mixture with samples of from 0.5 to 150 pg of each component, significant Improvements In mass spectral quality and spectral matches were observed. Signal to noise was improved by a factor of from 2 to 100 due to improved Integration. Linearity and precision of chromatographic data were also improved.

show abstract