A multi-model fusion strategy for multivariate calibration using near and mid-infrared spectra of samples from brewing industry

Author(s):  
Chao Tan ◽  
Hui Chen ◽  
Chao Wang ◽  
Wanping Zhu ◽  
Tong Wu ◽  
...  
2017 ◽  
Vol 9 (33) ◽  
pp. 4808-4818 ◽  
Author(s):  
Aderval S. Luna ◽  
Igor C. A. Lima ◽  
Cristiane A. Henriques ◽  
Lucia R. R. de Araujo ◽  
Werickson Fortunato da Rocha ◽  
...  

The data fusion was compared to the one sensor methodology to evaluate chemical and physical properties of soybean oil/biodiesel blends.


Icarus ◽  
2021 ◽  
Vol 365 ◽  
pp. 114492
Author(s):  
Noah Jäggi ◽  
André Galli ◽  
Peter Wurz ◽  
Herbert Biber ◽  
Paul Stefan Szabo ◽  
...  

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Jordi Ortuño ◽  
Sokratis Stergiadis ◽  
Anastasios Koidis ◽  
Jo Smith ◽  
Chris Humphrey ◽  
...  

Abstract Background The presence of condensed tannins (CT) in tree fodders entails a series of productive, health and ecological benefits for ruminant nutrition. Current wet analytical methods employed for full CT characterisation are time and resource-consuming, thus limiting its applicability for silvopastoral systems. The development of quick, safe and robust analytical techniques to monitor CT’s full profile is crucial to suitably understand CT variability and biological activity, which would help to develop efficient evidence-based decision-making to maximise CT-derived benefits. The present study investigates the suitability of Fourier-transformed mid-infrared spectroscopy (MIR: 4000–550 cm−1) combined with multivariate analysis to determine CT concentration and structure (mean degree of polymerization—mDP, procyanidins:prodelphidins ratio—PC:PD and cis:trans ratio) in oak, field maple and goat willow foliage, using HCl:Butanol:Acetone:Iron (HBAI) and thiolysis-HPLC as reference methods. Results The MIR spectra obtained were explored firstly using Principal Component Analysis, whereas multivariate calibration models were developed based on partial least-squares regression. MIR showed an excellent prediction capacity for the determination of PC:PD [coefficient of determination for prediction (R2P) = 0.96; ratio of prediction to deviation (RPD) = 5.26, range error ratio (RER) = 14.1] and cis:trans ratio (R2P = 0.95; RPD = 4.24; RER = 13.3); modest for CT quantification (HBAI: R2P = 0.92; RPD = 3.71; RER = 13.1; Thiolysis: R2P = 0.88; RPD = 2.80; RER = 11.5); and weak for mDP (R2P = 0.66; RPD = 1.86; RER = 7.16). Conclusions MIR combined with chemometrics allowed to characterize the full CT profile of tree foliage rapidly, which would help to assess better plant ecology variability and to improve the nutritional management of ruminant livestock.


1993 ◽  
Vol 1 (2) ◽  
pp. 99-108 ◽  
Author(s):  
P. Robert ◽  
M.F. Devaux ◽  
A. Qannari ◽  
M. Safar

Multivariate data treatments were applied to mid and near infrared spectra of glucose, fructose and sucrose solutions in order to specify near infrared frequencies that characterise each carbohydrate. As a first step, the mid and near infrared regions were separately studied by performing Principal Component Analyses. While glucose, fructose and sucrose could be clearly identified on the similarity maps derived from the mid infrared spectra, only the total sugar content of the solutions was observed when using the near infrared region. Characteristic wavelengths of the total sugar content were found at 2118, 2270 and 2324 nm. In a second step, the mid and near infrared regions were jointly studied by a Canonical Correlation Analysis. As the assignments of frequencies are generally well known in the mid infrared region, it should be useful to study the relationships between the two infrared regions. Thus, the canonical patterns obtained from the near infrared spectra revealed wavelengths that characterised each carbohydrate. The OH and CH combination bands were observed at: 2088 and 2332 nm for glucose, 2134 and 2252 nm for fructose, 2058 and 2278 nm for sucrose. Although a precise assignment of the near infrared bands to chemical groups within the molecules was not possible, the present work showed that near infrared spectra of carbohydrates presented specific features.


1994 ◽  
Vol 31 (7) ◽  
pp. 205
Author(s):  
Stephen P. Gurden ◽  
Richard G. Brereton ◽  
John A. Groves

Geoderma ◽  
2015 ◽  
Vol 247-248 ◽  
pp. 65-72 ◽  
Author(s):  
Mohsen Forouzangohar ◽  
Jeffrey A. Baldock ◽  
Ronald J. Smernik ◽  
Bruce Hawke ◽  
Lauren T. Bennett

2019 ◽  
Vol 102 (12) ◽  
pp. 11751-11765 ◽  
Author(s):  
T.M. Denninger ◽  
F. Dohme-Meier ◽  
L. Eggerschwiler ◽  
A. Vanlierde ◽  
F. Grandl ◽  
...  

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