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Ghosh Biswas R, Fortier-McGill B, Akhter M, Soong R, Ning P, Bastawrous M, Jenne A, Schmidig D, De Castro P, Graf S, Kuehn T, Busse F, Struppe J, Fey M, Heumann H, Boenisch H, Gundy M, Simpson MJ, Simpson AJ. Ex vivo Comprehensive Multiphase NMR of whole organisms: A complementary tool to in vivo NMR. Anal Chim Acta X 2020; 6:100051. [PMID: 33392494 PMCID: PMC7772632 DOI: 10.1016/j.acax.2020.100051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/29/2020] [Accepted: 06/23/2020] [Indexed: 12/15/2022] Open
Abstract
Nuclear Magnetic Resonance (NMR) spectroscopy is a non-invasive analytical technique which allows for the study of intact samples. Comprehensive Multiphase NMR (CMP-NMR) combines techniques and hardware from solution state and solid state NMR to allow for the holistic analysis of all phases (i.e. solutions, gels and solids) in unaltered samples. This study is the first to apply CMP-NMR to deceased, intact organisms and uses 13C enriched Daphnia magna (water fleas) as an example. D. magna are commonly used model organisms for environmental toxicology studies. As primary consumers, they are responsible for the transfer of nutrients across trophic levels, and a decline in their population can potentially impact the entire freshwater aquatic ecosystem. Though in vivo research is the ultimate tool to understand an organism’s most biologically relevant state, studies are limited by conditions (i.e. oxygen requirements, limited experiment time and reduced spinning speed) required to keep the organisms alive, which can negatively impact the quality of the data collected. In comparison, ex vivo CMP-NMR is beneficial in that; organisms do not need oxygen (eliminating air holes in rotor caps and subsequent evaporation); samples can be spun faster, leading to improved spectral resolution; more biomass per sample can be analyzed; and experiments can be run for longer. In turn, higher quality ex vivo NMR, can provide more comprehensive NMR assignments, which in many cases could be transferred to better understand less resolved in vivo signals. This manuscript is divided into three sections: 1) multiphase spectral editing techniques, 2) detailed metabolic assignments of 2D NMR of 13C enriched D. magna and 3) multiphase biological changes over different life stages, ages and generations of D. magna. In summary, ex vivo CMP-NMR proves to be a very powerful approach to study whole organisms in a comprehensive manner and should provide very complementary information to in vivo based research. Comprehensive Multiphase NMR detects all phases (solid/liquid/gel) in whole samples. Deceased organisms are not subjected to the limitations of in vivo NMR studies. 2D ex vivo NMR offer increased spectral resolution, improving metabolite assignment. Holistic analysis shows biological changes in D. magna over different life stages. Ex vivo NMR can be a complementary tool for in vivo NMR metabolomic studies.
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Affiliation(s)
- Rajshree Ghosh Biswas
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Blythe Fortier-McGill
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Mohammad Akhter
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Ronald Soong
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Paris Ning
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Monica Bastawrous
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Amy Jenne
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Daniel Schmidig
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Peter De Castro
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Stephan Graf
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Till Kuehn
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Falko Busse
- Bruker Biospin GmbH, Silberstreifen 4, 76287, Rheinstetten, Germany
| | - Jochem Struppe
- Bruker Corporation, 15 Fortune Drive, Billerica, MA, 01821-3991, USA
| | - Michael Fey
- Bruker Corporation, 15 Fortune Drive, Billerica, MA, 01821-3991, USA
| | - Hermann Heumann
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Holger Boenisch
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Marcel Gundy
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Myrna J Simpson
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - André J Simpson
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
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de Nadai Bonin M, da Luz E Silva S, Bünger L, Ross D, Dias Feijó GL, da Costa Gomes R, Palma Rennó F, de Almeida Santana MH, Marcondes de Rezende F, Vinhas Ítavo LC, de Novais FJ, Surita LMA, de Nadai Bonin M, Filgueira Pereira MW, Ferraz JBS. Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy. Meat Sci 2020; 163:108077. [PMID: 32066001 DOI: 10.1016/j.meatsci.2020.108077] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/25/2020] [Accepted: 01/31/2020] [Indexed: 01/19/2023]
Abstract
Visible and near-infrared spectroscopy (Vis-NIRS) was tested for its effectiveness in predicting intramuscular fat (IMF) and WBSF in Nellore steers. Beef samples from longissimus thoracis, aged for either 2 or 7 days, had their spectra collected for wavelengths ranging from 400 to 1395 nm. Partial least squares regression models were developed for each trait. Determination coefficients of calibration models for WBSF ranged from 0.17 to 0.53. Considering WBSF in samples aged for 2 days, Vis-NIR correctly classified 100% of tough samples (>45 N), but wrongly classified all tender samples (≤45 N) as tough. Determination coefficients of calibration models for IMF ranged from 0.12 to 0.14. Vis-NIRS is a useful tool for identifying tough beef, but it is less effective in predicting tender samples and IMF. Additional studies are necessary to generate more robust models for the prediction of intramuscular fat in intact meat samples of Nellore cattle.
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Affiliation(s)
- Marina de Nadai Bonin
- Federal University of Mato Grosso do Sul, College of Veterinary Medicine and Animal Science, Av. Senador Filinto Muller, 2443, 79074-460 Campo Grande, Brazil.
| | - Saulo da Luz E Silva
- College of Animal Science and Food Engineering, Av. Duque de Caxias Norte, 225, 13635-900 Pirassununga, Brazil.
| | - Lutz Bünger
- AnGeCo, Edinburgh EH17 7LD, house 48, Scotland, UK.
| | - Dave Ross
- Scottish Rural College, Easter Bush, Midlothian EH25 9RG, Edinburgh, UK.
| | | | | | - Francisco Palma Rennó
- College of Veterinary Medicine and Animal Science, Av. Duque de Caxias Norte, 225, 13635-900 Pirassununga, Brazil.
| | | | | | - Luis Carlos Vinhas Ítavo
- Federal University of Mato Grosso do Sul, College of Veterinary Medicine and Animal Science, Av. Senador Filinto Muller, 2443, 79074-460 Campo Grande, Brazil.
| | - Francisco José de Novais
- College of Veterinary Medicine and Animal Science, Av. Duque de Caxias Norte, 225, 13635-900 Pirassununga, Brazil.
| | - Lucy Mery Antonia Surita
- Federal University of Mato Grosso do Sul, College of Veterinary Medicine and Animal Science, Av. Senador Filinto Muller, 2443, 79074-460 Campo Grande, Brazil
| | - Mariana de Nadai Bonin
- Federal University of Mato Grosso do Sul, College of Veterinary Medicine and Animal Science, Av. Senador Filinto Muller, 2443, 79074-460 Campo Grande, Brazil
| | - Marilia Williane Filgueira Pereira
- Federal University of Mato Grosso do Sul, College of Veterinary Medicine and Animal Science, Av. Senador Filinto Muller, 2443, 79074-460 Campo Grande, Brazil
| | - José Bento Sterman Ferraz
- College of Veterinary Medicine and Animal Science, Av. Duque de Caxias Norte, 225, 13635-900 Pirassununga, Brazil.
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