In-vivo nuclear magnetic resonance spectroscopy of low-molecular-weight compounds in plant cells

Schneider, Bernd

doi:10.1007/s00050158

Cited by 11 publications

(5 citation statements)

References 33 publications

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“…15 Ndetected solid-state NMR spectra were also carried out on lyophilized soybean cotyledon or leaves to determine nitrogen fluxes from ammonium, nitrate, N 2 , asparagine, glutamine, allantoin or methionine [894][895][896][897][898][899]. Overall, these studies permitted characterization of the relative contributions of two complementary pathways (glutamine synthetase/glutamate synthase GS/GOGAT, and glutamate dehydrogenase GDH) in nitrogen assimilation, or comparison of NH 4 + and NO 3 incorporation rates in various conditions [900,901]. 15 N-NMR of cell extracts has found convenient applications to evaluate the impact of various stresses, since it does not require any separation steps [901][902][903], although it still demands a careful exploitation of the spectroscopic data [904].…”

Section: Nitrogen Flux Studied Bymentioning

confidence: 99%

“…15 N-NMR of cell extracts has found convenient applications to evaluate the impact of various stresses, since it does not require any separation steps [901][902][903], although it still demands a careful exploitation of the spectroscopic data [904]. 15 N-NMR also permitted a few studies of secondary nitrogen metabolism of alkaloid precursors, notably using 15 N-tropinone [890,891,900,901,905,906]. It has also provided quantification of the metabolism of the neurotransmitter glutamate in MRS studies of animal brains, which lies outside the scope of this review [907].…”

Section: Nitrogen Flux Studied Bymentioning

confidence: 99%

“…Initially, systems to perfuse organs were used in the 1970-80's, mostly to monitor ion equilibria or metabolism in rat or rabbit hearts [277,378,807,812,818,[856][857][858][859]861,[1786][1787][1788][1789], livers [725][726][727]809,814,[1790][1791][1792][1793][1794] and kidneys [808,819], using 31 P-, 23 Na- 13 C-or 1 H-detected NMR [1795][1796][1797]. Perfusion systems for NMR spectroscopy of living plants were also proposed [884][885][886]900,1798]. We will not cover this field further.…”

Section: Solid-state Nmr Analysis Of Cellular Content Molecular Proxi...mentioning

confidence: 99%

See 2 more Smart Citations

In-cell NMR: Why and how?

Theillet

Luchinat

2022

Progress in Nuclear Magnetic Resonance Spectroscopy

105

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Section: Nitrogen Flux Studied Bymentioning

confidence: 99%

Section: Nitrogen Flux Studied Bymentioning

confidence: 99%

Section: Solid-state Nmr Analysis Of Cellular Content Molecular Proxi...mentioning

confidence: 99%

See 1 more Smart Citation

In-cell NMR: Why and how?

Theillet

Luchinat

2022

Progress in Nuclear Magnetic Resonance Spectroscopy

105

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“…To conduct in vivo NMR studies, the development of flow systems are critical to maintain the organisms within the NMR probe for real-time monitoring and temporal studies. ,, The earliest flow system was reported in 1981 to study cadmium exposure in Daphnia magna and Chironomus tentans . Further developments have included perfusion systems to study phosphometabolite changes in medaka embryos, airlift or circulation systems for plant cells or root cultures, − and flow systems for the study of smaller aquatic organisms including single pump, flow cell, and a low volume design …”

Section: Introductionmentioning

confidence: 99%

Development of a Simple Cost Effective Oxygenation System for In Vivo Solution State NMR in 10 mm NMR Tubes

Costa,

Lysak,

Soong

et al. 2024

Anal. Chem.

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In vivo NMR is evolving into an important tool to understand biological processes and environmental responses. Current approaches use flow systems to sustain the organisms with oxygenated water and food (e.g., algae) inside the NMR. However, such systems have the potential to leak and clog (potentially damaging costly hardware), require large volumes of media, and multiple expensive HPLC pumps. The proposed "oxygenation system", uses a simple "double slit" adapter and a single air/oxygen flow line into the NMR. The design is especially suited to larger diameter probes given that standard flow systems would require higher flow rates thus amplifying the potential and impact of leaks/clogs. Traditionally, in vivo NMR of small organisms (e.g., Daphnia) have required 2D NMR in combination with 13 C enrichment to overcome susceptibility distortions and provide information rich metabolic profiles. Here Daphnia magna, Eisenia fetida and Artemia franciscana are used to demonstrate the potential of the oxygenation system. Survivability tests and 1 H time-resolved monitoring were first performed on D. magna, while E. fetida contained enough biomass to permit 1 H− 13 C HSQC, 13 C− 1 H HETCOR and 31 P NMR without isotopic enrichment. Finally, STOCSY of 1D 13 C NMR was used to follow the growth of A. franciscana (without 13 C enrichment) for 48 h after birth, which helps visualize trends across a series of 1D in vivo data. In summary, application of the oxygenation system toward larger diameter probes allows the collection of NMR data without enrichment, offering a promising solution to better understand processes in vivo.

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“…It is important to state that results obtained in the previous two studies were based only on a training data set using cross validation, and no separate test-sets were used to evaluate the calibration models. Other methods tested to predict carrot quality are Raman spectroscopy (Krä hmer, Böttcher, Rode, Nothnagel, & Schulz, 2016;Lawaetz et al, 2016;Schulz, 2014;Keller, Löchte, Dippel, & Schrader, 1993), nuclear magnetic resonance (NMR) (Schneider, 1997), and fluorescence spectroscopy (Ahmad, Sahar, & Hitzmann, 2017). The major drawback to these methods is that they produce significant amount of data that would not allow their application for quick online/inline assessment.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Carrot Quality Using Visible-Near Infrared Spectroscopy and Multivariate Analysis

Rady¹,

Sugiharto²,

Adedeji³

2018

JFR

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Carrot has a relatively high content of Vitamin C and it is a major source of natural carotenoids. However, carrot has a short shelf-life and is better consumed fresh. A quick assessment of its quality attributes is important to preserving its freshness. The objective of this study was to apply Vis-NIR spectroscopy to noninvasively assess and predict the various quality attributes of carrot (cv. Nectar), namely color (L*a*b*), moisture content (MC), total soluble solids (TSS), firmness, Vitamin C, and β-carotene. Two spectroscopic sensors (400-1,000 nm and 900-1,700 nm) were utilized and samples included whole root and 25.4 mm thick sliced disc. The best prediction models using partial least squares regression yielded correlation coefficient, r, and ratio of performance to deviation or r(RPD) of 0.50(0.73), 0.84(0.88), 0.86(2.07), 0.69(0.66), 0.97(1.44), 0.90(1.49), 0.47(1.47), and 0.92(1.76) for color indices, L* a* b*, firmness, MC, TSS, Vitamin C, and β-carotene, respectively. However, using only the wavelengths selected by interval partial least squares, the r(RPD) values for the aforementioned attributes improved and are presented as follows: 0.92(1.97), 0.96(2.83), 0.98(5.85), 0.99(6.65), 0.98(3.91), 0.99(5.93), 0.98(4.16), and 0.98(4.43), respectively. Generally, Vis-NIR region had higher prediction performance than NIR region, and whole roots had similar prediction performance as sliced samples. This study shows that rapid determination of quality parameters of carrot is possible through non-destructive Vis-NIR sensing, which could be useful for quality tracking during carrot supply chain. Moreover, results of this study could be improved using a larger sample size.

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In-vivo nuclear magnetic resonance spectroscopy of low-molecular-weight compounds in plant cells

Cited by 11 publications

References 33 publications

In-cell NMR: Why and how?

In-cell NMR: Why and how?

Development of a Simple Cost Effective Oxygenation System for In Vivo Solution State NMR in 10 mm NMR Tubes

Evaluation of Carrot Quality Using Visible-Near Infrared Spectroscopy and Multivariate Analysis

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