Optical diagnosis of dengue virus infection in human blood serum using Raman spectroscopy

Saleem, Muhammad; Bilal, Muhammad; Anwar, Shahzad; Rehman, Aziz ul; Ahmed, Mushtaq

doi:10.1088/1612-2011/10/3/035602

Cited by 55 publications

(57 citation statements)

References 35 publications

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“…4. So we can say that, apart from the carotenoids deficiency in dengue virus infection as described earlier [18], the suppression of Raman peaks at 1003, 1156, and 1516 cm −1 in healthy sera may also be attributed to elevated lactate level in the blood. One can use the appearnace of lactate in the blood sera as valuable indicator for the presence of disease.…”

Section: Resultsmentioning

confidence: 69%

“…The Raman peaks appeared in normal human blood sera have been explained previously [18,21]. Raman peak at 1003 cm −1 has been assigned to symmetric ring breathing mode of phenylalanine and β-carotene, whereas the peaks at 1156 and 1516 cm −1 have been assigned to β-carotene [17,22,23].…”

Section: Resultsmentioning

confidence: 70%

“…In one part of healthy sera two different concentration 50 mmol/L and 100 mmol/L of lactic acid solution (L 1250, Sigma-Aldrich Chemie GmbH, Germany) were prepared in control manner for observing their effects. The sample collection, preparation and storage procedure is same as mentioned in our previous article [18]. The overall experimental procedure has been carried out after obtaining written approval from the ethical committee of Rawalpindi medical college (RMC).…”

Section: Sample Collection and Preparationmentioning

confidence: 99%

“…Thus, a Raman spectrum provides a fingerprint from which information about molecular composition can be obtained that forms the basis for the diagnosis of the infectious diseases. Our group is standardizing Raman spectroscopic technique for the early diagnosis of dengue infection in recent years [18].…”

Section: Introductionmentioning

confidence: 99%

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Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy

Bilal

Ullah

Khan

et al. 2017

Biomed. Opt. Express

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This study presents the screening of dengue virus (DENV) infection in human blood sera based on lactate concentration using Raman spectroscopy. A total of 70 samples, 50 from confirmed DENV infected patients and 20 from healthy volunteers have been used in this study. Raman spectra of all these samples have been acquired in the spectral range from 600 cm −1 to 1800 cm −1 using a 532 nm laser as an excitation source. Spectra of all these samples have been analyzed for assessing the biochemical changes resulting from infection. In DENV infected samples three prominent Raman peaks have been found at 750, 830 and 1450 cm −1 . These peaks are most probably attributed to an elevated level of lactate due to an impaired function of different body organs in dengue infected patients. This has been proven by an addition of lactic acid solution to the healthy serum in a controlled manner. By the addition of lactic acid solution, the intense Raman bands at 1003, 1156 and 1516 cm −1 found in the spectrum of healthy serum got suppressed when the new peaks appeared around 750, 830, 925, 950, 1123, 1333, 1450, 1580 and 1730 cm −1 . The current study predicts that lactate may possibly be a potential biomarker for the diagnosis of DENV infection. A. Ennis, and A. L. Rothman, "High circulating levels of the dengue virus nonstructural protein NS1 early in dengue illness correlate with the development of dengue hemorrhagic fever," J.

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Section: Resultsmentioning

confidence: 69%

Section: Resultsmentioning

confidence: 70%

Section: Sample Collection and Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy

Bilal

Ullah

Khan

et al. 2017

Biomed. Opt. Express

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“…Apart from the suppression of these peaks, additional Raman peaks appeared at 750, 850, 1450, 1660 cm −1 . The detail assignments of all these peaks are previously given in [24,28]. …”

Section: Raman Spectral Analysismentioning

confidence: 99%

Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM)

Khan¹,

Ullah²,

Khan³

et al. 2016

Biomed. Opt. Express

111

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Abstract:The current study presents the use of Raman spectroscopy combined with support vector machine (SVM) for the classification of dengue suspected human blood sera. Raman spectra for 84 clinically dengue suspected patients acquired from Holy Family Hospital, Rawalpindi, Pakistan, have been used in this study.The spectral differences between dengue positive and normal sera have been exploited by using effective machine learning techniques. In this regard, SVM models built on the basis of three different kernel functions including Gaussian radial basis function (RBF), polynomial function and linear functionhave been employed to classify the human blood sera based on features obtained from Raman Spectra.The classification model have been evaluated with the 10-fold cross validation method. In the present study, the best performance has been achieved for the polynomial kernel of order 1. A diagnostic accuracy of about 85% with the precision of 90%, sensitivity of 73% and specificity of 93% has been achieved under these conditions. Langenburg, and M. D. Klein, "Raman spectroscopy for neoplastic tissue differentiation: a pilot study," J. Pediatr. Surg. 39(6), 953-956 (2004). 12. K. Kong, C. Kendall, N. Stone, and I. Notingher, "Raman spectroscopy for medical diagnostics--From in-vitro biofluid assays to in-vivo cancer detection," Adv. Drug Deliv. Rev. 89, 121-134 (2015). 13. P. Crow, J. S. Uff, J. A. Farmer, M. P. Wright, and N. Stone, "The use of Raman spectroscopy to identify and characterize transitional cell carcinoma in vitro," BJU Int. 93(9), 1232-1236 (2004). 14. A. Sikirzhytskaya, V. Sikirzhytski, and I. K. Lednev, "Raman spectroscopy coupled with advanced statistics for differentiating menstrual and peripheral blood," J. Biophotonics 7(1-2), 59-67 (2014 L. Martin, "Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients," J. Biophotonics 7(3-4), 200-209 (2014). 18.

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Qualitative analysis of desi ghee, edible oils, and spreads using Raman spectroscopy

Ali

Nawaz

Saleem

et al. 2016

J. Raman Spectrosc.

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Keeping in view the importance of dietary fats in modulating disease risk, a study was planned to compare edible oils, spreads, and desi ghee based on fatty acid composition through Raman spectroscopy. The double bonds in unsaturated oils tend to react more with oxygen causing oxidative stress in living cells; therefore, the excessive use of processed vegetable oils may pose risk for human health. In the spectral analysis, Raman peaks at 1063 and 1127 cm−1 represent out‐of‐phase and in‐phase aliphatic CC stretch for saturated fatty acids. The peak at 1300 cm−1, labeled for alkane, decreases with increase in the double bond contents (unsaturation). Further, the Raman peak at 1655 cm−1 showed a monotonic increase as a function of unsaturation. The double bond contents in the Raman spectra from 1650–1657 cm−1 represent unsaturated fatty acids that changes during the synthesis of spreads and banaspati ghee. Desi ghee, extracted from cow and buffalo milk, showed distinctive Raman peaks at 1650 and 1655 cm−1, which originates because of isomers of conjugated linoleic acid. These Raman shifts differentiated desi ghee from other artificially produced banaspati ghee, spreads, and oils. Conjugated linoleic acid has proved to be anti‐carcinogenic, anti‐inflammatory, and anti‐allergic properties; therefore, the limited use of desi ghee may reduce the risk of cardiac diseases. Principal component analysis has been applied on the Raman spectra that clearly differentiated desi ghee, mono‐unsaturated extra virgin olive oil, and extra virgin olive oil spread from other oils, oil mixtures, spreads, and ghee. In addition, principal component analysis has been blindly applied successfully on 13 unknown samples to classify them with reference to the known ghee sample. Copyright © 2016 John Wiley & Sons, Ltd.

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Optical diagnosis of dengue virus infection in human blood serum using Raman spectroscopy

Cited by 55 publications

References 35 publications

Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy

Lactate based optical screening of dengue virus infection in human sera using Raman spectroscopy

Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM)

Qualitative analysis of desi ghee, edible oils, and spreads using Raman spectroscopy

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