Tech Tip 25: The "Curse of co-linearity" in hyper-dimensional data sets

Techniques such as mass spectrometry can produce 10's or 100's of thousands of data points per sample. In these cases, it is impossible to satisfy the statistical experiments' design goal of having substantially more sample replicates than variable. If you have lots of extracted compound peaks, then some will appear to be significantly different purely by chance.

What can we do to help this?

Tech Tip 23: Shewhart Charts

gaussian peakShewhart Charts (invented by Walter A. Shewhart c1920s) are statistical process control charts used to determine whether a manufacturing process (e.g. in the modern day a laboratory generating analytical results) is working predictably.

They are based on a Gaussian or Normal distribution of data.

Tech Tip 22: Miniaturisation in GC laboratories – Part VIII

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

LIMS

Tech Tip 21: Miniaturisation in GC laboratories – Part VII

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. Further improvements can then come from choice of consumables, process improvements and lab re-arrangements. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

Choice of consumables, Process improvements and Lab re-arrangements

Tech Tip 20: Miniaturisation in GC laboratories – Part VI

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

Cycle time of one analytical run

Tech Tip 19: Miniaturisation in GC laboratories – Part V

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

Quantification via the Detector

Tech Tip 18: Miniaturisation in GC laboratories – Part IV

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

Separation on column

Tech Tip 17: Miniaturisation in GC laboratories – Part III

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

Injection onto the column

Tech Tip 16: Miniaturisation in GC laboratories – Part II

GC extraction techniques

Method miniaturisation is the squeezing of as many instrumental and analytical parameters as possible to optimise efficiency. Variables that can be examined include extraction solvent, extraction technique, injection onto the column, separation on column, quantification via the detector and finally the cycle time of one analytical run. As we strive to make the method more robust we should improve quality, obtain an equivalent if not better Limit of Detection (LOD) and deliver the result more quickly and hence more cheaply.

The extraction technique

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