Glucose and lactate concentration determination on single microsamples by Fourier-transform infrared spectroscopy

Petibois, Cyril; Melin, Anne-Marie; Perromat, Annie; Cazorla, Georges; Déléris, Gérard

doi:10.1067/mlc.2000.104460

Cited by 93 publications

(82 citation statements)

References 12 publications

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“…These absorptions may be directly used for the determination and quantification of biomolecular contents [20,21]. We recently proposed a method for the quantitative analysis of serum contents, which allowed a determination of the concentrations of glucose [22], lactate [23], TG, glycerol, urea, and major proteins [24,25]. On the other hand, when serum FT-IR spectra obtained at the resting state are subtracted from the exercise ones, "Difference FT-IR spectra" can be obtained [23].…”

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confidence: 99%

Discriminant Serum Biochemical Parameters in Top Class Marathon Performances.

Petibois

Paiva²,

Cazorla³

et al. 2002

JJP

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For male subjects, the difference within top-level marathon performances did not exceed 4% between the 20 best marks (2 h 05 min-2 h 10 min). The differences in the metabolic response to exercise are globally understood between sedentary and trained subjects [1,2], as well as between moderately trained and highly trained subjects [3][4][5][6]. For endurance sports, readily accessible parameters, i.e., maximal oxygen consumption (VO 2 max ), heart rate, lactatemia, glycogen stores depletion, or ammonia release, might be sufficient for this discrimination. Nevertheless, little is known about metabolic parameters that may discriminate between high-and top-level marathon performances. To our knowledge, the evolution of given metabolic parameters with a higher marathon performance level have not been reported for the best marathon runners.Lipids represent the most important fuel source during endurance exercise at moderate intensity. However, during an intense endurance exercise, such as a marathon performed over 75% of VO 2 max , circulating FFA cannot meet the oxidative needs, and intramuscular triglyceride (TG) stores must be used in large amounts [7]. It has ever been suggested that marathon performance level was mainly dependent on carbohydrate availability to skeletal muscle [8]. In an argument favoring this statement, it has been shown that endurance training improves muscle ability for oxidizing lactate and increases the membrane transport of lactate [9]. Intense exercise training also improves Japanese Journal of Physiology, 52, 181-190, 2002 Key words: FT-IR spectrometry, endurance, amino acids, long-chain fatty acids, protein catabolism.Abstract: Blood chemical parameters were analyzed by Fourier-transform infrared spectrometry (notably for determining the concentrations of glucose, lactate, urea, glycerol, triglycerides, and proteins) in 14 top-class marathon runners (133.7Ϯ4.1 min at marathon, 10.1% difference between extremes) who performed a 10-km run at their individual marathon velocity. Marathon performance level was correlated to glycemia increase during exercise (9% difference between extremes; rϭ0.93; pϽ0.005). The best marathon runners presented longer and/or less unsaturated blood fatty acids during exercise (17% difference between extremes; rϭ0.89; pϽ0.01), suggesting an improved fatty acid selectivity for muscular metabolism. The marathon performance level was also found correlated to a decrease of blood triglycerides during exercise (rϭϪ0.95; pϽ0.003) and to a proportional glycerol concentration increase (11% difference between extremes; rϭ0.94; pϽ0.005). The best marathon runners presented higher amino acid blood delivery (rϭ0.88; pϽ0.01), which was correlated to an apparent protein catabolism. These results show that the best runners have enhanced both carbohydrate, lipid, and amino acid metabolisms to improve energetic supply to skeletal muscle during exercise.

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confidence: 99%

Discriminant Serum Biochemical Parameters in Top Class Marathon Performances.

Petibois

Paiva²,

Cazorla³

et al. 2002

JJP

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“…There was no requirement for pre-analysis sample preparation and separation. The absorptions around 3000 cm -1 (likely a C-H stretch) (Coates 2000) and 1000 cm -1 (likely a C-O region) (Petibois et al 1999) were used to quantitate the levels of ethanol and glucose respectively (Figure 2). These 2 wavenumbers were found to exhibit positive linear relationship towards different concentrations of ethanol (0%-35%) and glucose (0%-18%) standard at respective R 2 values of 0.915 and 0.997.…”

Section: Resultsmentioning

confidence: 99%

Ethanol Production in Yeasts Isolated from Fermented Kitchen Waste

Wong

Bujang

2012

AJSTD

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Microbial ethanol is a potential substitute for the non-renewable fossil fuel which is depleting. Yeasts have been long and extensively studied for ethanol production. The objectives of this study were to isolate yeasts from fermented kitchen waste and to determine their ethanol production performances. A number of fifteen yeasts were isolated from fermented kitchen waste. The yeastswere then grouped based on their ability to ferment different types of sugars. Three yeast isolates were selected for the analysis of ethanol production. Fermentation was carried out for 72 h in yeast extract peptone dextrose broth containing 18% glucose. Fourier transform infrared attenuated total reflection spectroscopy was used to monitor the ethanol production and glucose utilization. Isolate Y4 achieved the highest ethanol production at the level of 16%, while Y6 and Y8 demonstrated 12% and 11% ethanol yields, respectively. The isolates Y4, Y6 and Y8 were identified using universal fungal primers ITS1 and ITS4. The yeast isolates were closest to Saccharomyces cerevisiae (76%), Paracoccidioides brasiliensis (56%) and Saccharomyces boulardii (64%), respectively. This studyshowed that fermented kitchen waste could serve as a good source of yeasts for ethanol production.

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“…In this way, a given volume of sample could be deposited on a standardized surface dimension (7 mm diameter circle in the case of IFS 28/B spectrometer). Studies on biofluids could show that triplicate measurements allowed to obtain high reproducibility in spectra acquisitions with no more than 1% of change in absorptions on average [4]. Substrates holding 96 to 484 delimitated sample locations have now been released, allowing high throughput measurements as can be performed in most modern biochemical labs of hospitals.…”

Section: Introductionmentioning

confidence: 99%

Current Trends in the Development of FTIR Imaging for the Quantitative Analysis of Biological Samples

et al. 2009

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Fourier transform infrared imaging instrumentation has come of age for the rapid acquisition of biosample IR images, and thus now allows developing analytical methods based upon the molecular information of samples contents. For the biomedicine field, Fourier transform infrared imaging should be able to play a role in the molecular characterization of cells and tissues where no other analytical method provides quantitative information. Now, a compromise may be obtained between an acceptable acquisition time of IR images, which should never exceed a few tens of minutes, and the necessary spatial resolution (down to the diffraction limit, although limited for biology), spectral resolution (2 to 8 cm −1 for biosample analyses), and signal-to-noise ratio level, to provide a diagnostic answer to clinicians during the surgery time. Here, we will discuss the potential of Fourier transform infrared imaging in face to major pathologies (myopathies, brain tumors, metabolic diseases) for which current imaging methods remain unable to provide sufficient information for a precise diagnosis. Quantitative molecular information may be extracted from infrared images of samples as soon as samples volume/thickness is controlled as well as absorption and absorptivity of the molecules to analyze may be isolated from other absorbing compounds. In this context, metabolic parameters appear as the main targets for providing critical information about the physiological status of a biosample due to their characteristic infrared spectra. As examples, it will be shown how to isolate and quantify glucose, lactic-acid, urea, etc. absorptions from complex biosample infrared images.

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Glucose and lactate concentration determination on single microsamples by Fourier-transform infrared spectroscopy

Cited by 93 publications

References 12 publications

Discriminant Serum Biochemical Parameters in Top Class Marathon Performances.

Discriminant Serum Biochemical Parameters in Top Class Marathon Performances.

Ethanol Production in Yeasts Isolated from Fermented Kitchen Waste

Current Trends in the Development of FTIR Imaging for the Quantitative Analysis of Biological Samples

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