Muhammad Saleem

Shanxi Agricultural University

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Hina Ali

Pakistan Institute of Engineering and Applied Sciences

Muhammad Bilal

Nanjing Agricultural University

Mushtaq Ahmed

Qatar University

Rahat Ullah

Pakistan Institute of Engineering and Applied Sciences

M A Baig

Quaid-i-Azam University

E.U. Khan

Namal College

Naveed Ahmad

Virtual University of Pakistan

Shahid Hussain

Luleå University of Technology

Babar Manzoor Atta

Pakistan Institute of Engineering and Applied Sciences

Haq Nawaz

University of Faisalabad

Cooperative Institutions

University of Agriculture Faisalabad

Pakistan Institute of Nuclear Science and Technology

Quaid-i-Azam University

University of Faisalabad

Pakistan Institute of Engineering and Applied Sciences

University of the Punjab

Bahauddin Zakariya University

University of Veterinary and Animal Sciences

International Islamic University, Islamabad

Ayub Agriculture Research Institute

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Saturation technique for the measurement of photoionization cross-section of atomic excited states—A review

Optik (2017)

Muhammad Saleem Shahid Hussain M A Baig

Saturation (graph theory)

Photoionization mode

Section (typography)

10.1016/j.ijleo.2017.12.176

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Citations (6)

Fluorescence spectroscopy based characterization of Flaxseed Oil

Research Square (Research Square) (2024)

Muhammad Saleem Naveed Ahmad

Abstract Fluorescence spectroscopy has been employed for the compositional analysis of flaxseed oil, detection of its adulteration and investigation of the thermal effects on its molecular composition. Excitation wavelengths from 320 to 420 nm have been used to explore the valued ingredients in flaxseed oil. The emission spectra of flaxseed oil revealed that it contains high concentration of vitamin K, isomers of vitamin E, carotenoids and chlorophylls with corresponding emission spectra at 390, 414, 441, 475, 515 and 673/720 nm, which can be used as a marker for quality analysis. Detection of adulteration of canola oil in flaxseed oil has been demonstrated by applying principal component analysis. Moreover, the effects of temperature on the molecular composition of cold pressed flaxseed oil has been explored by heating them at cooking temperatures of 100, 110, 120, 130, 140, 150, 160, 170 and 180°C, each for 30 minutes. On heating, the deterioration of vitamin E, carotenoids and chlorophylls occurred with an increase in the oxidation products. However, it was found that up to 140°C, flaxseed oil retains much of its natural composition whereas up to 180 o C, it loses much of its valuable ingredients along with increase of oxidized products.

10.21203/rs.3.rs-3857665/v1

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Fluorescence Spectroscopy Based Identification of Pseudomonas Aeruginosa and Escherichia Coli Suspensions

Journal of Fluorescence (2024)

Sana Imtiaz Muhammad Saleem

Suspension

10.1007/s10895-024-03608-w

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Citations (2)

Correction to: Fluorescence Spectroscopy Based Identification of Pseudomonas Aeruginosa and Escherichia Coli Suspensions

Journal of Fluorescence (2024)

Sana Imtiaz Muhammad Saleem

Identification

10.1007/s10895-024-03766-x

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Effective Treatment of Solitary Rectal Ulcer Syndrome by Using Photobiomodulation Therapy: A Case Report

Photobiomodulation Photomedicine and Laser Surgery (2024)

Sana Imtiaz Tayyab Saeed Akhter Hamama Tul Bushra Javeria Zahid Khan A. A. K. Niazi

Objective: To investigate the efficacy of Photobiomodulation therapy (PBMT) for the treatment of solitary rectal ulcer syndrome (SRUS).

Abnormality

10.1089/photob.2023.0117

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Citations (1)

Raman spectroscopy based discrimination of NS1 positive and negative dengue virus infected serum

Laser Physics Letters (2016)

Muhammad Bilal Muhammad Saleem Maria Bilal Muhammad Khurram E.U. Khan

This study is intended to develop a multivariate statistical model for the prediction of nonstructural protein 1 (NS1) in dengue virus (DENV) infected blood serum in humans. The model has been developed on the basis of partial least squares regression using the Raman spectra of NS1 positive and NS1 negative samples. Human blood sera of 218 subjects is included in this study, of which 95 were NS1 positive and 123 were NS1 negative, which was confirmed with the enzyme linked immunosorbent assay method. For model development, 80 NS1 positive and 98 NS1 negative samples were used, while 40 DENV suspected samples were used for double blind testing of the model. This selection of samples was performed by the code in an automatic manner to avoid biasing. A laser at 785 nm was used as the excitation source to acquire Raman spectra of samples with an integration time of 15 s. The multivariate model yields coefficients of regression at corresponding Raman shifts. These coefficients represent changes in the molecular structures associated with NS1 positive and negative samples. The analysis of the regression coefficients which differentiate NS1 positive and NS1 negative groups shows an increasing trend for phosphatidylinositol, ceramide, and amide-III, and a decreasing trend for thiocyanate in the DENV infected serum. The R-squared value of the model was found to be 0.91, which is clinically acceptable. The blind testing of 40 suspected samples yields an accuracy, sensitivity, and specificity of about 100% each.

10.1088/1612-2011/13/9/095603

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Citations (13)

Diagnosis of dengue virus infection using spectroscopic images and deep learning

PeerJ Computer Science (2022)

Mehdi Hassan Safdar Ali Muhammad Saleem Muhammad Sanaullah Labiba Gillani Fahad

Dengue virus (DENV) infection is one of the major health issues and a substantial epidemic infectious human disease. More than two billion humans are living in dengue susceptible regions with annual infection mortality rate is about 5%-20%. At initial stages, it is difficult to differentiate dengue virus symptoms with other similar diseases. The main objective of this research is to diagnose dengue virus infection in human blood sera for better treatment and rehabilitation process. A novel and robust approach is proposed based on Raman spectroscopy and deep learning. In this regard, the ResNet101 deep learning model is modified by exploiting transfer learning (TL) concept on Raman spectroscopic data of human blood sera. Sample size was selected using standard statistical tests. The proposed model is evaluated on 2,000 Raman spectra images in which 1,200 are DENV-infected of human blood sera samples, and 800 are healthy ones. It offers 96.0% accuracy on testing data for DENV infection diagnosis. Moreover, the developed approach demonstrated minimum improvement of 6.0% and 7.0% in terms of AUC and Kappa index respectively over the other state-of-the-art techniques. The developed model offers superior performance to capture minute Raman spectral variations due to the better residual learning capability and generalization ability compared to others deep learning models. The developed model revealed that it might be applied for diagnosis of DENV infection to save precious human lives.

10.7717/peerj-cs.985

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Citations (9)

In vitro study: methylene blue-based antibacterial photodynamic inactivation of Pseudomonas aeruginosa

Applied Microbiology and Biotechnology (2024)

Laiq Zada Shahzad Anwar Sana Imtiaz Muhammad Saleem Aamer Ali Shah

Abstract Pseudomonas aeruginosa is one of the most antibiotic-resistant and opportunistic pathogens in immunocompromised and debilitated patients. It is considered the cause of most severe skin infections and is frequently found in hospital burn units. Due to its high antibiotic resistance, eliminating P. aeruginosa from skin infections is quite challenging. Therefore, this study aims to assess the novel in vitro antibacterial activity of methylene blue using a 635-nm diode laser to determine the effective power and energy densities for inhibition of P. aeruginosa . The strain was treated with various concentrations of methylene blue and 635-nm diode laser at powers of 300 mW/cm 2 and 250 mW/cm 2 . The diode laser’s potency in the photo-destruction of methylene blue and its degradation through P. aeruginosa were also evaluated. Colony-forming unit (CFU)/ml, fluorescence spectroscopy, optical density, and confocal microscopy were used to measure the bacterial killing effect. As a result, the significant decrease of P. aeruginosa was 2.15-log 10 , 2.71-log 10 , and 3.48-log 10 at 60, 75, and 90 J/cm 2 after excitation of MB for 240, 300, and 360 s at a power of 250 mW/cm 2 , respectively. However, a maximum decrease in CFU was observed by 2.54-log 10 at 72 J/cm 2 and 4.32-log 10 at 90 and 108 J/cm 2 after 300 mW/cm 2 of irradiation. Fluorescence images confirmed the elimination of bacteria and showed a high degree of photo-destruction compared to treatment with methylene blue and light alone. In conclusion, MB-induced aPDT demonstrated high efficacy, which could be a potential approach against drug-resistant pathogenic bacteria. Key points • Combination of methylene blue with 635-nm diode laser for antibacterial activity. • Methylene blue photosensitizer is employed as an alternative to antibiotics. • aPDT showed promising antibacterial activity against Pseudomonas aeruginosa.

Methylene blue

Colony-forming unit

10.1007/s00253-024-13009-5

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Citations (6)

Laser isotope separation of lithium by two-step photoionization

Journal of Applied Physics (2006)

Muhammad Saleem Shahid Hussain Muhammad Rafiq M A Baig

Lithium isotope separation has been achieved employing the two-step photoionization technique along with a narrow band dye laser in conjunction with a time of flight mass spectrometer. The demonstrated method yields a high degree of selectivity by tuning the dye laser at the resonance levels of Li6 and Li7. It is inferred that the concentration of the natural abundance of the Li6 isotope gets enhanced up to over 47% as the exciter dye laser is tuned to the P1∕22 of Li6 even if the linewidth of the exciter laser is not sufficiently narrow to excite the isotopic level. It is also noticed that the much higher energy density of the exciter laser limits the resolution of the fine structure levels of the lithium isotopes that leads to a loss in the enrichment of Li6 due to the power-broadening effect. Measurements of the photoionization cross section of the lithium isotopes from the 2pP1∕2,3∕22, excited states for Li6 and Li7 and the corresponding number densities are reported.

Isotopes of lithium

Laser linewidth

Natural abundance

10.1063/1.2338832

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Citations (48)

Development of multivariate classification models for the diagnosis of dengue virus infection

Photodiagnosis and Photodynamic Therapy (2022)

Muhammad Saleem Safdar Ali Muhammad Bilal Khushbakht Safdar Mehdi Hassan

Robustness

10.1016/j.pdpdt.2022.103136

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Citations (2)