Format of Spectral Multifiles
Spectra multifiles combine multiple spectra in one single file. These files are stored in a Matlab™ specific format and contain the spectral, as well as the respective metadata. Spectra multifiles can be loaded in the Matlab environment by entering the following command at the Matlab command prompt:
>> load('muffname','-mat');
where muffname denotes the name of the spectrum multifile. For example, the command load('RKI-ring-trial-spectra.muf','-mat') will open the file RKI-ring-trial-spectra.muf, a MALDI-ToF mass spectrum multifile containing 24 individual MALDI-TOF mass spectra acquired within the so called RKI ring trial study. The file RKI-ring-trial-spectra.muf can be downloaded here. If loading was successful, you will have access to a new Matlab variable spec (struc array). Details of the structure of spec are described next.
Fields of the structure array - spec
Fields | Description | Data type | |
---|---|---|---|
org | original mass spectra [2 x n array], n: number of data points | float32 | |
pre | pre-processed spectra [2 x n array], n: number of data points | float32 | |
nam | spectra id | char array | |
gen | genus information | char array | |
spe | species info | char array | |
str | strain info | char array | |
typ | type | char array | |
uid | taxonomy identification number for species as used by the NCBI (see [1]), can be modified | char array | |
uie | unmodified taxonomy identification number for strains used by the NCBI (see [2]) | char array | |
gti | cultivation conditions: growth time | char array | |
tem | cultivation conditions: cultivation temperature | char array | |
air | cultivation conditions: cultivation under aerobic or anaerobic conditions | char array | |
med | cultivation conditions: cultivation medium | char array | |
spo | spore formers (Yes or No) | char array | |
con | sample concentration | char array | |
trt | sample treatment | char array | |
ext | extra information | char array | |
las | laser parameters (power, spot diameter, frequency, etc.) | char array | |
cal | calibration info | char array | |
met | measurement method | char array | |
cus | customer info | char array | |
tim | date and time of measurement | char array | |
pth | path to spectrum | char array | |
cls | class assignment (valid values are 0,1,2,3 and 4) | float32 | |
lst | formatted text containing the peak table info | char array | |
seq | sequence of pre-processing steps | char array | |
smo | the number of smoothing points (Savitzky-Golay smoothing) | char array | |
bas | number of intervals used for baseline correction | float32 | |
nrm | normalization parameter (Yes:1, No:0) | float32 | |
clb | calibration parameters (not used) | float32 | |
red | data reduction factor (spectral binning) | char array | |
cut | cut in the spectral domain, m/z range | char array | |
tmp | temporary info (not always present) | char array | |
mod | original data modified by cut spectra or reduce resolution (Yes:1, No:0) | float32 | |
lms | MALDI-ToF MS, or LC-MS¹ data? (0: MALDI, 1: LC-MS¹) | float32 | |
pik | peak table, an array of the dimension [4 x npeaks] or [6 x npeaks], where npeaks denotes the number of peaks | float 32 | |
ccl | calibration information (see below) | struc array | |
avr | average spectrum (Yes:1, No:0) | struc array | |
dbs | data base spectrum (Yes:1, No:0) | struc array | |
prm | parameters of peak detection | char array | |
qt | quality test parameter | struc array |
Peak table format - spec.pik
Fields | Description |
---|---|
spec.pik(1,:) |
m/z positions of the peaks in the peak table |
spec.pik(2,:) |
absolute intensities of these peaks |
spec.pik(3,:) |
weighting factors (the sum of these factors equals 100) |
spec.pik(4,:) |
in case of single spectra, i.e. no database or average spectra: baseline-corrected absolute intensities of the peaks, in case of average or database spectra: the relative peak frequency |
spec.pik(5,:) |
FWHH of the given peak (requires QT) |
spec.pik(6,:) |
resolving power of the given peak (requires QT) |
Calibration information - spec.ccl
Fields | Description | Type | |
---|---|---|---|
cl1 | calibration constant 1 | float32 | |
cl2 | calibration constant 2 | float32 | |
cl3 | calibration constant 3 | float32 | |
del | delay time [ns] | float32 | |
npt | number of data points | float32 | |
res | time resolution [ns] | float32 | |
ncl | calibration info required to store the spectrum in a Bruker-specific data format | char array | |
ncr | calibration info required to store the spectrum in a Bruker-specific data format | char array | |
bid | hardware id of the spectrum ('Bruker ID') | char array | |
mid | MicrobeMS id of the spectrum | char array | |
org | manufacturer info | char array | |
tfu | 'ToF user' | char array | |
spm | not used | char array | |
stp | type of measurement (should be 'TOF') | char array | |
acq | further acquisition info | char array |
Database spectra - spec.dbs
A database spectrum is usually created from many (>3) individual mass spectra. Like in regular experimental spectra, spectral data and metadata of average spectra are stored in specific fields of structure array spec. In database spectra the field spec(i).dbs is used to store relevant data from experimental source spectra from which the given database spectrum has been derived. These fields are left empty in experimental and average spectra. Details of the structure of spec.dbs are given in the table below.
Fields | Description | Type | |
---|---|---|---|
mem | specifies whether the current spectrum is a data base spectrum (1) or not (0) | char array | |
ids | id of the individual mass spectrum that contributed to the given database spectrum | char array | |
tax | contains taxonomical information (i.e. the genus, species, strain information) | char array | |
pik | peak table of the given source spectrum | float32 | |
prm | parameters used for peak detection | char array |
Average spectra - spec.avr
An average spectrum is usually created from many (>3) individual mass spectra. Like in regular experimental spectra, spectral data and metadata of average spectra are stored in specific fields of structure array spec. In average spectra the field spec(i).avr is used to store relevant data from experimental source spectra from which the given average spectrum has been derived. These fields are empty in experimental and database spectra. Details of the structure of spec.avr are given in the table below.
Fields | Description | Type | |
---|---|---|---|
mem | specifies whether the contributing spectrum is an average spectrum (1) or not (0) | char array | |
ids | id of the individual mass spectrum that contributed to the given average spectrum | char array | |
tax | contains taxonomical information (i.e. the genus, species, strain information) | char array | |
pik | peak table of the given source spectrum | float32 | |
prm | parameters used for peak detection | char array |
Quality test results - spec.qt
The structure array spec.qt contains the results of a Quality Test. Fields of this structure are empty if no QT has been performed. Details of the structure of spec.qt are given in the table below.
Fields | Description | Type | |
---|---|---|---|
noise | QT data of the noise test, contains fields abs, rnk, and obj | struc array | |
basln | QT data of the baseline test, contains fields abs, rnk, and obj | struc array | |
npiks | QT data of the test number of peaks, contains fields abs, rnk, and obj | struc array | |
respw | QT data of the test resolution power, contains fields abs, rnk, and obj | struc array | |
rnk | overall rank that the given spectrum has achieved in a QT with a number of other spectra | float32 | |
res | overall quality test score | float32 |