Shrimp Processing Assessed by Low Field Nuclear Magnetic Resonance, Near Infrared Spectroscopy, and Physicochemical Measurements-The Effect of Polyphosphate Content and Length of Prebrining on Shrimp Muscle

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Near Infrared ◽

Low Field ◽

Physicochemical Measurements ◽

Assessment of macadamia kernel quality defects by means of near infrared spectroscopy (NIRS) and nuclear magnetic resonance (NMR)

Food Control ◽

10.1016/j.foodcont.2019.06.021 ◽

2019 ◽

Vol 106 ◽

pp. 106695 ◽

Cited By ~ 3

Author(s):

Lívia Cirino de Carvalho ◽

Fabíola Manhas Verbi Pereira ◽

Camilo de Lelis Medeiros de Morais ◽

Kássio Michell Gomes de Lima ◽

Gustavo Henrique de Almeida Teixeira

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Near Infrared ◽

Kernel Quality ◽

Self-association of octan-1-ol in the pure liquid state and in decane solutions as observed by viscosity, self-diffusion, nuclear magnetic resonance and near-infrared spectroscopy measurements

Journal of the Chemical Society Faraday Transactions ◽

10.1039/ft9938900707 ◽

1993 ◽

Vol 89 (4) ◽

pp. 707 ◽

Cited By ~ 60

Author(s):

Makio Iwahashi ◽

Yoshinori Hayashi ◽

Norihisa Hachiya ◽

Hideyo Matsuzawa ◽

Hiroshi Kobayashi

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Liquid State ◽

Near Infrared ◽

Pure Liquid ◽

Self Diffusion ◽

Self Association ◽

Mixed Debye-type liquids studied by dielectric, shear mechanical, nuclear magnetic resonance, and near-infrared spectroscopy

Journal of Non-Crystalline Solids ◽

10.1016/j.jnoncrysol.2014.07.018 ◽

2015 ◽

Vol 407 ◽

pp. 384-391 ◽

Cited By ~ 22

Author(s):

S. Bauer ◽

K. Moch ◽

P. Münzner ◽

S. Schildmann ◽

C. Gainaru ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Near Infrared ◽

Applying multimodal data fusion based on manifold learning with nuclear magnetic resonance (NMR) and near infrared spectroscopy (NIRS) to maize haploid identification

Biosystems Engineering ◽

10.1016/j.biosystemseng.2021.08.013 ◽

2021 ◽

Vol 210 ◽

pp. 299-309

Author(s):

Wenzhang Ge ◽

Liu Zhang ◽

Xiaolong Li ◽

Chuanshuai Zhang ◽

Mengyao Sun ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Data Fusion ◽

Manifold Learning ◽

Near Infrared ◽

Multimodal Data ◽

Multimodal Data Fusion ◽

Monitoring a progressing transesterification reaction by fiber-optic near infrared spectroscopy with correlation to 1 H nuclear magnetic resonance spectroscopy

Journal of the American Oil Chemists Society ◽

10.1007/s11746-000-0078-5 ◽

2000 ◽

Vol 77 (5) ◽

pp. 489-493 ◽

Cited By ~ 172

Author(s):

Gerhard Knothe

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Nuclear Magnetic Resonance Spectroscopy ◽

Near Infrared ◽

Fiber Optic ◽

Transesterification Reaction ◽

Resonance Spectroscopy

Geographical Origin Discrimination of Oolong Tea (TieGuanYin, Camellia sinensis (L.) O. Kuntze) Using Proton Nuclear Magnetic Resonance Spectroscopy and Near-Infrared Spectroscopy

Food Analytical Methods ◽

10.1007/s12161-017-0920-4 ◽

2017 ◽

Vol 10 (11) ◽

pp. 3508-3522 ◽

Cited By ~ 21

Author(s):

Weijun Meng ◽

Xiangnan Xu ◽

Kian-Kai Cheng ◽

Jingjing Xu ◽

Guiping Shen ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Nuclear Magnetic Resonance Spectroscopy ◽

Near Infrared ◽

Geographical Origin ◽

Proton Nuclear Magnetic Resonance ◽

Resonance Spectroscopy

Determining quality parameters of fish oils by means of 1H nuclear magnetic resonance, mid-infrared, and near-infrared spectroscopy in combination with multivariate statistics

Food Research International ◽

10.1016/j.foodres.2017.12.041 ◽

2018 ◽

Vol 106 ◽

pp. 116-128 ◽

Cited By ~ 9

Author(s):

Editha Giese ◽

Ole Winkelmann ◽

Sascha Rohn ◽

Jan Fritsche

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Multivariate Statistics ◽

Near Infrared ◽

Quality Parameters ◽

Fish Oils ◽

Mid Infrared ◽

1H Nuclear Magnetic Resonance

Modeling of Temperature-Induced Near-Infrared and Low-Field Time-Domain Nuclear Magnetic Resonance Spectral Variation: Chemometric Prediction of Limonene and Water Content in Spray-Dried Delivery Systems

Applied Spectroscopy ◽

10.1366/000370209787392094 ◽

2009 ◽

Vol 63 (2) ◽

pp. 141-152 ◽

Cited By ~ 3

Author(s):

Andrade Letíci ◽

Imad A. Farhat ◽

Kasia Aeberhardt ◽

Rasmus Bro ◽

Søren Balling Engelsen

Keyword(s):

Magnetic Resonance ◽

Water Content ◽

Time Domain ◽

Near Infrared ◽

Delivery Systems ◽

Spectral Variation ◽

Low Field ◽

Spray Dried ◽

Why Functional Non-Invasive Near-Infrared Spectroscopy Coupled With 31P-Nuclear Magnetic Resonance Spectroscopy Should Be Used To Predict, Diagnose And Manage Substance Abuse-Induced Strokes And Deaths: A Personal Perspective

Addiction & Addictive Disorders ◽

10.24966/aad-7276/100032 ◽

2020 ◽

Vol 7 (1) ◽

pp. 1-7

Author(s):

Burton M Altura ◽

Keyword(s):

Substance Abuse ◽

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Near Infrared ◽

Personal Perspective ◽

Resonance Spectroscopy ◽

Non Invasive

Determining the blend level of mixtures of biodiesel with conventional diesel fuel by fiber-optic near-infrared spectroscopy and 1 H nuclear magnetic resonance spectroscopy

Journal of the American Oil Chemists Society ◽

10.1007/s11746-001-0382-0 ◽

2001 ◽

Vol 78 (10) ◽

pp. 1025-1028 ◽

Cited By ~ 128

Author(s):

Gerhard Knothe

Keyword(s):

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Diesel Fuel ◽

Near Infrared ◽

Fiber Optic ◽

Resonance Spectroscopy ◽

Conventional Diesel Fuel