Wishart (2008)[19], Karaman
(2015)[36], Rocha (2018)[35]
|
spectroscopy |
metabolomics |
2D |
PCA/PLA |
informative |
slow |
Frydmann (2014)[30]
|
spectroscopy |
ultrafast NMR |
2D |
no |
rapid |
gradient field |
Qu (2019)[18]
|
spectroscopy |
generic |
n-dimensional |
deep learning |
speed up |
information
lose? |
Haun (2010)[40], Haun[20]
(2011), Liong (2013)[37], Peng
(2014)[21], Neely
(2016)[41], Robinson
(2017)[42]
|
relaxometry |
medical diagnosis |
1D |
no |
rapid, PoCT |
low specificity and sensitivity, missing out cross
peaks?! |
Robinson (2014)[43],
Ok (2016)[44]
|
relaxometry
|
food science
|
1D
|
no
|
rapid, PoCT
|
|
Santos (2016)[45],
Zhu (2016)[38]
|
relaxometry
|
food science
|
1D
|
PCA/PLA
|
rapid, PoCT
|
|
Xu (2014)[46],
Rudszuck (2019)[27]
|
relaxometry
|
food science
|
2D
|
no
|
PoCT, high specificity and sensitivity
|
slow
|
Hurlimann (2002)[47]
|
relaxometry |
oil-gas
exploration |
1D, 2D |
no |
in situ, high specificity and
sensitivity |
slow |
Lewis (2013)[48]
|
relaxometry |
oil-gas
exploration |
2D |
no |
|
slow |
Birdwell (2015)[49]
|
relaxometry |
oil-gas
exploration |
2D |
PCA/PLA |
|
slow |
Clustering NMR (2020)
|
relaxometry-clustering
|
generic
|
(pseudo)
n-dimensional
|
clustering analysis, supervised model
|
rapid, PoCT, high specificity and sensitivity
|
missing out cross peaks?
|