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Investigate Spectroscopic Experimental and Theoretical Model for Hemoglobin Nanoscale Solution


  • Hanan Auda Naif Physics Department, College of Science, Mustansiriyah University, Baghdad, Iraq
  • Asaad M. Abbas Physics Department, College of Science, Mustansiriyah University, Baghdad, Iraq
  • Mahasin Fadhil Hadi Al-Kadhemy Physics Department, College of Science, Mustansiriyah University, Baghdad, Iraq



Absorption spectroscopy, BBCEAS, Haemoglobin, Nanomolar concentrations, Theoretical model.


In the current study, haemoglobin analytes dissolved in a special buffer (KH2PO4(1M), K2HPO4(1M)) with pH of 7.4 were used to record absorption spectra measurements with a range of concentrations from (10-8 to 10-9) M and an absorption peak of 440nm using Broadband Cavity Enhanced Absorption Spectroscopy (BBCEAS) which is considered a simple, low cost, and robust setup. The principle work of this technique depends on the multiple reflections between the light source, which is represented by the Light Emitting Diode 3 W, and the detector, which is represented by the Avantes spectrophotomer. The optical cavity includes two high reflectivity  ≥99%  dielectric mirrors (diameter 25mm, radius of curvature 100mm) and a quartz cuvette  1 cm  to put the samples in the system. This system is also composed of some lenses, aires, and optical fibres to transfer the light from the light source to the optical cavity and after that to the detector. This setup is considered ~3-fold more sensitive when it is compared with another spectroscopic technique as it reduces the effect of noise due to fluctuations in the light intensity. Additionally, the theoretical study estimated the absorption spectra of the haemoglobin concentrations using Table Curve 2D software. The absorption spectra curve was fitted using a suitable curve-fitting equation for these spectra, which was represented by the Gaussian function. The similarity of the theoretical and practical spectra demonstrated that the estimated models can replace the experimental measurements, which leads to a reduction in the cost and time required for the absorption spectroscopy measurements


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Xiuling L, Guanghui M, Zhiguo S. Hemoglobin-Based Blood Substitutes – Progress and Challenges.Comprehensive Biotechnology (Third Edition). Reference Module in Biomedical Sciences. 2019; 5:709-722. .

Charbe NB, Castillo F, Tambuwala MM, Prasher P, Chellappan DK, Carreño A. et al., A new era in oxygen therapeutics? From perfluorocarbon systems to haemoglobin-based oxygen carriers, Blood Rev. 2022; 54: 100927.

Atkins CG, Buckley K, Blades MW, Turner RFB. Raman spectroscopy of blood and blood components. Appl Spectrosc. 2017; 71: 767–793. 1177/0003702816686593.

Chung EH, Bhagavan NV. Chapter 25-Hemoglobin and metabolism of iron and heme. Essentials of Medical Biochemistry (Third Edition). Academic Press. 2023; 573-611.

Sawicki KT, Chang HC, Ardehali H. Role of heme in cardiovascular physiology and disease. J Am Heart Assoc. 2015; 5: 4.

Nkrumah B, Nguah SB, Sarpong N, Dekker D, Idriss A, May J, et al. Hemoglobin estimation by the HemoCue(R) portable hemoglobin photometer in a resource poor setting. BMC Clin Pathol. 2011; 21(11): 5 .

Kim U, Song J, Ryu S, Kim S, Joo C. A Rapid and Chemical-free Hemoglobin Assay with Photothermal Angular Light Scattering. J Vis Exp. 2016; 7(118): 55006. .

Dybas J, Bokamper MJ, Marzec KM, Mak PJ. Probing the structure-function relationship of hemoglobin in living human red blood cells. Spectrochim Acta A Mol Biomol Spectrosc. 2020; 239: 118530. saa.2020.118530 .

Hsieh M, Wu T, Su C, Cheng W, Ozbek N, Tsai K, et al. Comparison of an electrochemical biosensor with optical devices for hemoglobin measurement in human whole blood samples. Clinica Chimica Acta. 2011; 412: 2150–2156. .

Bajuszova Z, Naif H, Ali Z, McGinnis J, Islam M. Cavity enhanced liquid-phase stopped-flow kinetics. Analyst. 2018; 143(2): 493-502. .

Naif HA, Saeed AA, Al-Kadhemy MFH. Spectral Behaviour of the low concentrations of Coumarin 334 with Broadband Cavity Enhanced Absorption Spectroscopy. Baghdad Sci J. 2022; 19(2): 0438

Haodong Z, Jing L, Saimei H, Zhanpeng X, Julian E, Sailing H. Incoherent broadband cavity-enhanced absorption spectroscopy for sensitive measurement of nutrients and microalgae. Appl Opt. 2022; 61: 3400-3408. .

Anang N, Hamid MSA, Muda WMW. Simulation and Modelling of Electricity Usage Control and Monitoring System using ThingSpeak. Baghdad Sci J. 2021; 18(2): 0907.

Zheng K, Zheng C, Zhang Y, Wang Y, Tittel FK. Review of Incoherent Broadband Cavity-Enhanced Absorption Spectroscopy (IBBCEAS) for Gas Sensing. Sens. 2018; 18: 3646.

Nakashima Y, Sadanaga Y. Validation of in situ Measurements of Atmospheric Nitrous Acid Using Incoherent Broadband Cavity-enhanced Absorption Spectroscopy. Anal Sci. 2017; 33(4): 519-524.

Pakkattil A, Saseendran A, Thomas AP, Raj AS, Mohan A, Viswanath D, et al. A dual-channel incoherent broadband cavity-enhanced absorption spectrometer for sensitive atmospheric NOx measurements. Analyst. 2021; 146(8): 2542-2549.

Al-Arab H, Al-Kadhemy M, Saeed A. Estimation of Theoretical Models of Photophysical Processes for Fluorescein Laser Dye with Ag Nanoparticles. Gazi Univ J Sci. 2021; 34(2): 550-560.

Al-Arab HS, Al-Kadhemy MFH, Saeed AA. The Establishment of a Theoretical Model for the Estimation of Some Photo-Physical Processes in Laser Dyes. Iraqi J Sci. 2020; 61(4): 780-790. DOI:

Lambros A, Dimitrios F, Lampros Mi. Atherosclerotic Plaque Characterization Methods Based on Coronary Imaging. 5-Plaque Characterization Methods Using Optical Coherence Tomography. Academic Press. 2017; 95-113.

Dyson N. Chromatographic integration methods. RSC–-chromatography monographs. Royal Society of Chemistry. Phytochemical Analysis. London. 1991;15.

Hardy G, Körner T. Derivatives And Integrals. In A Course of Pure Mathematics-Cambridge Mathematical Library. Cambridge. University Press. 2008; 210-284. .