Rapid monitoring of serum albumin as a biomarker of liver and kidney diseases using femtosecond laser-induced fluorescence

Mohamed, Wafaa R.; Mahmoud, Nora F.; Samad, Fatma Abdel; Ahmed, Esraa Alaa; Hamblin, Michael R.; Mohamed, Tarek A.

doi:10.1016/j.saa.2021.120646

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Laser-induced fluorescence (LIF) is a type of detection technology, in which a laser is used to excite the emission of fluorescence of a substance; it is based on the discrimination of the fluorescence signal generated by the interaction between the laser pulse and the medium. Owing to its high sensitivity and good selectivity; it has been widely implemented in the monitoring of industrial waste [1], marine pollution [2][3][4], medical and health industry [5,6], and atmospheric environment [7,8]. With the rapid development technologies of laser, electronics and computer, and the emergence of high-power and shortpulse lasers, Marine laser fluorescence radar monitoring system has been rapidly developed in various countries to detect the distribution of oil and gas in the seabed and oil pollution on the sea surface [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Recognition of multi-component compounds based on occurrence time of secondary crest in the fluorescence lifetime attenuation curve

Min,

Ningchao,

Bingqi

et al. 2024

Meas. Sci. Technol.

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Fluorescence lifetime is the main characteristic parameter of fluorescence. It is a widely used to draw fluorescence lifetime attenuation curves and to fit fluorescence lifetime parameters by using gated detection methods to identify the species of substances. However, the fluorescence attenuation of each fluorophore in a multi-component compound interferes with one another, affecting the accuracy of identification. In this paper, we propose a method to accurately identify substances by using the occurrence time of the secondary crest of the fluorescence lifetime attenuation curve based on the principle of gated detection to measure the fluorescence lifetime. Furthermore, we design a fluorescence lifetime imaging measurement system and select the same areas of interest in the images for analysis and comparison. The average lifetime of the fluorescence and the occurrence time of the secondary crest are considered as the characteristic parameters. We use five commercially available motor engine oils as the experimental samples and compare the recognition performance of different kernel functions based on a support vector machine (SVM). The radial basis kernel function (RBF) presents the best performance in terms of recognition accuracy and speed. The recognition rates of the SVM model with the average fluorescence lifetime and the occurrence time of the secondary crest in the attenuation curve of the fluorescence lifetime as a feature vector are 76.24% and 74.65%, respectively. The recognition rate of the SVM model which combines them as feature vectors reaches 91.88%. The experimental results demonstrate that the occurrence time of the secondary crest in the attenuation curve of the fluorescence lifetime can be employed as the basis for substance identification in the analysis of the fluorescence characteristics of multi-component compounds, whose recognition accuracy is similar to the average fluorescence lifetime parameter. Moreover, the occurrence time of the secondary crest of the fluorescence lifetime attenuation curve can be implemented to identify multi-component compounds when it is used as a characteristic parameter.

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Section: Introductionmentioning

confidence: 99%

Recognition of multi-component compounds based on occurrence time of secondary crest in the fluorescence lifetime attenuation curve

Min,

Ningchao,

Bingqi

et al. 2024

Meas. Sci. Technol.

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“…The excess glucose is known to bind to human serum albumin (HSA) via the nonenzymatic glycation during hyperglycemia and form glycated HSA (GHSA) . HSA is the abundant protein carrier found in blood and is commonly used as an indicator for many diseases including diabetes and renal diseases. , GHSA has been suggested to be one of the potential diabetes biomarkers since its level in blood can be used for diabetes screening and monitoring in medical practice. , GHSA detection can also be employed for patients with kidney and liver problems whose hemoglobin A1c level (which is a common diabetes biomarker) may be inaccurate.…”

Section: Introductionmentioning

confidence: 99%

Structural and Dynamic Alteration of Glycated Human Serum Albumin in Schiff Base and Amadori Adducts: A Molecular Simulation Study

et al. 2023

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Human serum albumin (HSA) is a protein carrier in blood transporting metabolites and drugs. Glycated HSA (GHSA) acts as a potential biomarker for diabetes. Thus, many attempts have been made to detect GHSA. Glycation was reported to damage the structure and ligand binding capability, where no molecular detail is available. Recently, the crystal structure of GHSA has been solved, where two glucose isomers (pyranose/GLC and open-chain/GLO) are located at Sudlow’s site I. GLO was found to covalently bind to K195, while GLC is trapped by noncontact interactions. GHSA exists in two forms (Schiff base (SCH) and Amadori (AMA) adducts), but how both disrupt albumin activity microscopically remains unknown. To this end, molecular dynamics simulations were performed here to explore the nature of SCH and AMA. Both forms are found to alter the main protein dynamics, resulting in (i) the widening of Sudlow’s site I entrance, (ii) the size reduction of nine fatty acid-binding pockets, (iii) the enlargement of Sudlow’s site I and the shrinking of Sudlow’s site II, (iv) the enhancement of C34 reactivity, and (v) the change in the W214 microenvironment. These unique characteristics found here can be useful for understanding the effect of glycation on the albumin function in more detail and designing specific and selective GHSA detection strategies.

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“…Laser-induced fluorescence (LIF) technology belongs to an emerging material component analysis technology in the discipline of analytical chemistry [7]- [9]. Compared with other spectral techniques, LIF has the following advantages : LIF is a zero background spectral technique with high sensitivity ( up to 10 -12 -10 -9 M, 5-6 orders of magnitude lower than UV-IR absorption method ) [10], [11]. Fluorescence emission is omnidirectional and can be collected from various angles [12].…”

Section: Introductionmentioning

confidence: 99%

Determination of Oil Pollutants by Microchannel Laser Induced Fluorescence Technology

et al. 2022

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Laser-induced fluorescence technology is an effective method for detecting oil pollutants. The laser induced fluorescence detection system was developed, and four parallel microchannel sample pools were designed to improve the detection accuracy of fluorescence signals. The grating scanning system is improved by introducing grating feedback link to improve the wavelength scanning accuracy of the system.The experimental results show that the wavelength scanning resolution of the microchannel laser-induced fluorescence detection system is improved by 0.4 nm. Aiming at the defects of the traditional parallel factor algorithm which is sensitive to the sample components, slow operation speed and easy to fall into local convergence, the generalized inverse singular value decomposition is used to improve the parallel factor algorithm. Configure different concentrations of diesel, gasoline and kerosene solution samples. The experimental verification shows that the excitation-emission spectra of each component obtained by the improved parallel factor algorithm are highly consistent with the measured spectral characteristics, indicating that the microchannel laser-induced fluorescence detection system combined with the improved parallel factor analysis method can accurately identify oil pollutants.

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Rapid monitoring of serum albumin as a biomarker of liver and kidney diseases using femtosecond laser-induced fluorescence

Cited by 4 publications

References 22 publications

Recognition of multi-component compounds based on occurrence time of secondary crest in the fluorescence lifetime attenuation curve

Recognition of multi-component compounds based on occurrence time of secondary crest in the fluorescence lifetime attenuation curve

Structural and Dynamic Alteration of Glycated Human Serum Albumin in Schiff Base and Amadori Adducts: A Molecular Simulation Study

Determination of Oil Pollutants by Microchannel Laser Induced Fluorescence Technology

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