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

Bilal, Muhammad; Ullah, Rahat; Khan, Saranjam; Ali, Hina; Saleem, Muhammad; Ahmed, Mushtaq

doi:10.1364/boe.8.001250

Cited by 15 publications

(16 citation statements)

References 25 publications

(25 reference statements)

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“…They also spiked the serum of healthy controls with lactate in a controlled manner and found that indeed the abovementioned peaks were due to lactate. 103 Ahmed's group from Pakistan has tried to develop a Raman-based diagnostic method for dengue using several multivariate approaches like Support Vector Machines (SVM), random forest method, etc. 104 The same group has also conducted Raman studies on human malarial samples and found 10 distinct spectral signatures that could differentiate malarial samples from healthy controls as well as dengue samples and patients suffering from non-malarial fever.…”

Section: Results and Discussion (I) Raman Spectroscopy Towards Biolomentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Challenges in application of Raman spectroscopy to biology and materials

et al. 2018

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Section: Results and Discussion (I) Raman Spectroscopy Towards Biolomentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Challenges in application of Raman spectroscopy to biology and materials

et al. 2018

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“…2 shows slight change in the intensity at this peak position when comparing normal and asthmatic sera samples. In the presence of the other prominent Raman peaks at 1156 and 1515 cm −1 corresponding to βcarotene [30], the peak at 998 cm −1 is rather assigned to β-carotene whereas it is assigned to phenylalanine in the presence of protein peaks and absence of carotene peaks. Our results clearly show a decrease in β-carotene in diseased samples when compared to the normal.…”

Section: Spectral Data Analysismentioning

confidence: 99%

Demonstrating the application of Raman spectroscopy together with chemometric technique for screening of asthma disease

Ullah¹,

Khan

Farman

et al. 2019

Biomed. Opt. Express

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Medical biophotonic tools provide new sources of diagnostic information regarding the state of human health that are used in managing patient care. In our current study, Raman spectroscopy, together with the chemometric technique, has successfully been demonstrated for the screening of asthma disease. Raman spectra of sera samples from asthmatic patients as well as healthy (control) volunteers have been recorded at 532 nm excitation. In healthy sera, three highly reproducible Raman peaks assigned to β-carotene have been detected. Their sensitive detection is facilitated due to the resonance Raman effect. In contrast, in asthmatic patients sera, the peaks assigned to β-carotene are either diminished or suppressed accompanied by other new Raman peaks. These new peaks most probably arise due to an elevated level of proteins, which could be used to identify/differentiate between asthma and non-asthma samples. Furthermore, a partial least squares discrimination analysis (PLS-DA) model was developed and applied on the Raman spectra of diseased as well as healthy samples, which successfully classified them. The correlation coefficient (r2) of the model was determined as 0.965. Similarly, the root mean square errors in cross-validation (RMSECV) and in the prediction (RMSECP) are 0.09 and 0.25, respectively. PLS-DA has the potential to be incorporated in a microcontroller's code attached with a hand-held Raman spectrometer for screening purposes in asthma, which is a disease of great concern for the clinicians, especially in children.

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“…Overall, low accuracies were due to high false negative results [51]. Elevated lactate concentration in human blood sera was observed in DENV-infected patients possibly due to impaired function of body organs [52]. When support vector machine (SVM) learning models coupled with polynomial kernel order 1 were applied, DENV was predicted with a predictive accuracy of 85% and a sensitivity of 73% [53].…”

Section: Application Of Rs For the Diagnosis Of Arbovirusesmentioning

confidence: 99%

“…532 None [52] To distinguish between ZIKV and DENV NS1 biomarkers with SERS combined with a lateral flow assay.…”

Section: Svm [53]mentioning

confidence: 99%

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

et al. 2021

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Spectroscopy-based techniques are emerging diagnostic and surveillance tools for mosquito-borne diseases. This review has consolidated and summarised recent research in the application of Raman and infrared spectroscopy techniques including near- and mid-infrared spectroscopy for malaria and arboviruses, identified knowledge gaps, and recommended future research directions. Full-length peer-reviewed journal articles related to the application of Raman and infrared (near- and mid-infrared) spectroscopy for malaria and arboviruses were systematically searched in PUBMED, MEDILINE, and Web of Science databases using the PRISMA guidelines. In text review of identified studies included the methodology of spectroscopy technique used, data analysis applied, wavelengths used, and key findings for diagnosis of malaria and arboviruses and surveillance of mosquito vectors. A total of 58 studies met the inclusion criteria for our systematic literature search. Although there was an increased application of Raman and infrared spectroscopy-based techniques in the last 10 years, our review indicates that Raman spectroscopy (RS) technique has been applied exclusively for the diagnosis of malaria and arboviruses. The mid-infrared spectroscopy (MIRS) technique has been assessed for the diagnosis of malaria parasites in human blood and as a surveillance tool for malaria vectors, whereas the near-infrared spectroscopy (NIRS) technique has almost exclusively been applied as a surveillance tool for malaria and arbovirus vectors. Conclusions/Significance The potential of RS as a surveillance tool for malaria and arbovirus vectors and MIRS for the diagnosis and surveillance of arboviruses is yet to be assessed. NIRS capacity as a surveillance tool for malaria and arbovirus vectors should be validated under field conditions, and its potential as a diagnostic tool for malaria and arboviruses needs to be evaluated. It is recommended that all 3 techniques evaluated simultaneously using multiple machine learning techniques in multiple epidemiological settings to determine the most accurate technique for each application. Prior to their field application, a standardised protocol for spectra collection and data analysis should be developed. This will harmonise their application in multiple field settings allowing easy and faster integration into existing disease control platforms. Ultimately, development of rapid and cost-effective point-of-care diagnostic tools for malaria and arboviruses based on spectroscopy techniques may help combat current and future outbreaks of these infectious diseases.

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

Cited by 15 publications

References 25 publications

Challenges in application of Raman spectroscopy to biology and materials

Challenges in application of Raman spectroscopy to biology and materials

Demonstrating the application of Raman spectroscopy together with chemometric technique for screening of asthma disease

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

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