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MUNCAN JelenaGraduate School of Agricultural ScienceAssociate Professor
Research activity information
■ Award- Nov. 2022 Japan Council for Near Infrared Spectroscopy, NIR Advance Award, Contribution to development of aquaphotomic near infrared spectroscopy and research of the functionality of water molecular species in bio-aqueous systems
- Oct. 2022 Water Conference 2024 on the Physics, Chemistry, and Biology of Water, Gilbert Ling Poster Award, Aquaphotomics Reveals Fine tuning of Water Molecular Structure in Ultra-PCR
- Jan. 2021 Journal Sensors, MDPI, Editor’s Choice Article, Real-Time Monitoring of Yogurt Fermentation Process by Aquaphotomics Near-Infrared Spectroscopy
- Nov. 2016 The 2nd International Aquaphotomics Symposium, Best Poster Award, Characterization of Soft Contact Lenses using NIR spectroscopy and Aquaphotomics
- Oct. 2015 10th Annual Conference on the Physics, Chemistry, and Biology of Water 2015, Gilbert Ling Poster Award, Properties of interfacial water at nano level
- Dec. 2014 Contemporary materials, Best Poster Award, Spectroscopic characterization of aqueous fullerol solutions
- Oct. 2012 7th Annual water conference – Conference on the Physics, Chemistry & Biology of Water, Gilbert Ling Poster Award, Comparative study of water and aqueous systems using near infrared and opto – magnetic spectroscopy
- Aug. 2011 The Second Scientific International Conference on Water and Nanomedicine, Academy of Science and Arts of the Republic of Srpska, Best Poster Award, A comparative study on structure and properties of water by opto-magnetic and IR spectroscopy
- Aug. 2025, Smart Agricultural TechnologyScientific journal
- Apr. 2025, Radiation Physics and ChemistryScientific journal
- Dec. 2024, Journal of ChemometricsScientific journal
- SAGE Publications, Feb. 2024, NIR news, 35(1-2) (1-2), 11 - 15Scientific journal
- 2024, International Journal of Remote Sensing, 45(3) (3)Scientific journal
- 2024, Sustainable and Functional Foods from Plants: Health Impact, Bioactive Compounds, and Production TechnologiesScientific journal
- Elsevier BV, Jan. 2024, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 304, 123273 - 123273Scientific journal
- Dec. 2023, Infrared Physics and Technology, 135Scientific journal
- Since its birth in 2005, when introduced by Prof [...]MDPI AG, Mar. 2023, Molecules, 28(6) (6), 2630 - 2630Scientific journal
- Elsevier BV, Feb. 2023, Talanta, 253, 123893 - 123893Scientific journal
- Fresh-cut leafy vegetables are one of the most perishable products because they readily deteriorate in quality even during cold storage and have a relatively short shelf life. Since these products are in high demand, methods for rigorous quality control and estimation of freshness that are rapid and non-destructive would be highly desirable. The objective of the present research was to develop a rapid, non-destructive near-infrared spectroscopy (NIRS)-based method for the evaluation of changes during cold storage of lettuce using an aquaphotomics approach to monitor the water molecular structure in lettuce leaves. The reference measurements showed that after 6 days of dark, cold storage, the weight and water activity of lettuce leaves decreased and β-carotene decreased, while chlorophylls slightly increased. Aquaphotomics characterization showed large differences in the lettuce leaves’ spectra depending on their growth zone. Difference spectra, principal component analysis (PCA) and linear discriminant analysis (LDA) confirmed the differences in the inner and outer leaves and revealed that spectra change as a function of storage time. Partial least squares regression (PLSR) allowed the prediction of the time spent in storage with a coefficient of determination of R2 = 0.80 and standard error of RMSE = 0.77 days for inner, and R2 = 0.86 and RMSE = 0.66 days for outer leaves, respectively. The following water absorbance bands were found to provide the most information in the spectra: 1348, 1360, 1373, 1385, 1391, 1410, 1416, 1422, 1441, 1447, 1453, 1466, 1472, 1490, 1503, 1515, 1521, 1534 and 1571 nm. They were further used as water matrix coordinates (WAMACs) to define the water spectral patterns (WASPs) of lettuce leaves. The WASPs of leaves served to succinctly describe the state of lettuces during storage. The changes in WASPs during storage reveled moisture loss, damage to cell walls and expulsion of intracellular water, as well as loss of free and weakly hydrogen-bonded water, all leading to a loss of juiciness. The WASPs also showed that damage stimulated the defense mechanisms and production of vitamin C. The leaves at the end of the storage period were characterized by water strongly bound to collapsed structural elements of leaf tissues, mainly cellulose, leading to a loss of firmness that was more pronounced in the outer leaves. All of this information was reflected in the changes of absorbance in the identified WAMACs, showing that the water molecular structure of lettuce leaves accurately reflects the state of the lettuce during storage and that WASPs can be used as a multidimensional biomarker to monitor changes during storage.MDPI AG, Jan. 2023, Foods, 12(2) (2), 258 - 258Scientific journal
- The objective of this study was to use aquaphotomics and near-infrared (NIR) spectroscopy to follow the changes in strawberries during cold storage in the refrigerator with an electric field generator (supercooling fridge, SCF) and without it (control fridge, CF). The NIR spectra of strawberries stored in these refrigerators were collected over the course of 15 days using a portable mini spectrometer and their weight was measured daily. The spectral data in the region of the first overtone of water (1,300–1,600 nm) were analyzed using aquaphotomics multivariate analysis. The results showed a decrease in weight loss of strawberries, but the loss of weight was significantly lower in SCF, compared to the CF. The reduction of weight loss due to exposure to an electric field was comparable to the use of coatings. The aquaphotomics analysis showed that the NIR spectra adequately captured changes in the fruit over the storage period, and that it is possible to predict how long the fruit spent in storage, regardless of the storage type. During aquaphotomics analysis, 19 water absorbance bands were found to be consistently repeating and to have importance for the description of changes in strawberries during cold storage. These bands defined the water spectral pattern (WASP), multidimensional biomarker that was used for the description of the state and dynamics of water in strawberries during time spent in storage. Comparison of WASPs of strawberries in CF and SCF showed that exposure to an electric field leads to a delay in ripening by around 3 days. This was evidenced by the increased amount of structural, strongly bound water and vapor-like trapped water in the strawberries stored in SCF. This particular state of water in strawberries stored in SCF was related to the hardening of the strawberry skin and prevention of moisture loss, in agreement with the results of significantly decreased weight loss.Frontiers Media SA, Dec. 2022, Frontiers in Nutrition, 9Scientific journal
- The mixing water used for cement concrete has a significant effect on the physical properties of the material after hardening; however, other than the upper limit for the mixed impurities, not enough consideration has been given to the functions and characteristics of water at the molecular level. In this study, we investigated the effect of four different types of water (two spring-, mineral waters, tap water and distilled water) on the drying shrinkage of the hardened cement by comparing the material properties of the concrete specimens and analyzing the molecular structure of the water and cement mortar using aquaphotomics. The near infrared (NIR) spectra of waters used for mixing were acquired in the transmittance mode using a high-precision, high-accuracy benchtop spectrometer in the range of 400–2500 nm, with the 0.5 nm step. The NIR spectra of cement paste and mortar were measured in 6.2 nm increments in the wavelength range of 950 nm to 1650 nm using a portable spectrometer. The measurements of cement paste and mortar were performed on Day 0 (immediately after mixing, cement paste), 1 day, 3 days, 7 days, and 28 days after mixing (cement mortar). The spectral data were analyzed according to the aquaphotomics’ multivariate analysis protocol, which involved exploration of raw and preprocessed spectra, exploratory analysis, discriminating analysis and aquagrams. The results of the aquaphotomics’ analysis were interpreted together with the results of thermal and drying shrinkage measurements. Together, the findings clearly demonstrated that the thermal and drying shrinkage properties of the hardened cement material differed depending on the water used. Better mechanical properties were found to be a result of using mineral waters for cement mixing despite minute differences in the chemical content. In addition, the aquaphotomic characterization of the molecular structure of waters and cement mortar during the initial hydration reaction demonstrated the possibility to predict the characteristics of hardened cement at a very early stage. This provided the rationale to propose a novel evaluation method based on aquaphotomics for non-invasive evaluation and monitoring of cement mortar.MDPI AG, Nov. 2022, Molecules, 27(22) (22), 7885 - 7885Scientific journal
- Elsevier BV, Nov. 2022, Chemometrics and Intelligent Laboratory Systems, 230, 104669 - 104669Scientific journal
- Elsevier BV, Oct. 2022, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 279, 121378 - 121378Scientific journal
- Sound affects the medium it propagates through and studies on biological systems have shown various properties arising from this phenomenon. As a compressible media and a “collective mirror”, water is influenced by all internal and external influences, changing its molecular structure accordingly. The water molecular structure and its changes can be observed as a whole by measuring its electromagnetic (EMG) spectrum. Using near-infrared spectroscopy and aquaphotomics, this pilot study aimed to better describe and understand the sound-water interaction. Results on purified and mineral waters reported similar effects from the applied 432 Hz and 440 Hz frequency sound, where significant reduction in spectral variations and increased stability in water were shown after the sound perturbation. In general, the sound rearranged the initial water molecular conformations, changing the samples’ properties by increasing strongly bound, ice-like water and decreasing small water clusters and solvation shells. Even though there was only 8 Hz difference in applied sound frequencies, the change of absorbance at water absorbance bands was specific for each frequency and also water-type-dependent. This also means that sound could be effectively used as a perturbation tool together with spectroscopy to identify the type of bio, or aqueous, samples being tested, as well as to identify and even change water functionality.MDPI AG, Sep. 2022, Molecules, 27(19) (19), 6332 - 6332Scientific journal
- Elsevier BV, Aug. 2022, Chemometrics and Intelligent Laboratory Systems, 227, 104611 - 104611Scientific journal
- {MDPI} {AG}, Apr. 2022, Molecules, 27(7) (7), 2324 - 2324Scientific journal
- Apr. 2022, MoleculesScientific journal
- 2022, New Journal of Chemistry, 46(39) (39)Scientific journal
- 2022, Sensors and Actuators A: Physical, 338Scientific journal
- 2022, Molecules, 27(7) (7)Scientific journal
- The development of non-destructive methods for early detection of cold stress of plants and the identification of cold-tolerant cultivars is highly needed in crop breeding programs. Current methods are either destructive, time-consuming or imprecise. In this study, soybean leaves’ spectra were acquired in the near infrared (NIR) range (588–1025 nm) from five cultivars genetically engineered to have different levels of cold stress tolerance. The spectra were acquired at the optimal growing temperature 27 °C and when the temperature was decreased to 22 °C. In this paper, we report the results of the aquaphotomics analysis performed with the objective of understanding the role of the water molecular system in the early cold stress response of all cultivars. The raw spectra and the results of Principal Component Analysis, Soft Independent Modeling of Class Analogies and aquagrams showed consistent evidence of huge differences in the NIR spectral profiles of all cultivars under normal and mild cold stress conditions. The SIMCA discrimination between the plants before and after stress was achieved with 100% accuracy. The interpretation of spectral patterns before and after cold stress revealed major changes in the water molecular structure of the soybean leaves, altered carbohydrate and oxidative metabolism. Specific water molecular structures in the leaves of soybean cultivars were found to be highly sensitive to the temperature, showing their crucial role in the cold stress response. The results also indicated the existence of differences in the cold stress response of different cultivars, which will be a topic of further research.{MDPI} {AG}, Jan. 2022, Molecules, 27(3) (3), 744 - 744Scientific journal
- Lead, Elsevier BV, Jan. 2022, Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 265, 120396 - 120396, English, No password[Refereed]Scientific journal
- Current approaches to the quality control of water are unsatisfying due to either a high cost or the inability to capture all of the relevant information. In this study, near-infrared spectroscopy (NIRS) with aquaphotomics as a novel approach was assessed for the discrimination of natural, processed and aged water samples. Temperature perturbation of water samples was employed to probe the aqueous systems and reveal the hidden information. A radar chart named an aquagram was used to visualize and compare the absorbance spectral patterns of waters at different temperatures. For the spectra acquired at a constant temperature of 30 °C, the discrimination analysis of different water samples failed to produce satisfying results. However, under perturbation by increasing the temperature from 35 to 60 °C, the absorbance spectral pattern of different waters displayed in aquagrams revealed different, water-specific dynamics. Moreover, it was found that aged processed water changed with the temperature, whereas the same processed water, when freshly prepared, had hydrogen bonded structures unperturbed by temperature. In summary, the aquaphotomics approach to the NIRS analysis showed that the water absorbance spectral pattern can be used to describe the character and monitor dynamics of each water sample as a complex molecular system, whose behavior under temperature perturbation can reveal even subtle changes, such as aging and the loss of certain qualities during storage.Lead, {MDPI} {AG}, Oct. 2021, Applied Sciences (Switzerland), 11(19) (19), 9337 - 9337, English, No password[Refereed]Scientific journal
- In vivo monitoring of rice (Oryza sativa L.) seed germination and seedling growth under general conditions in closed Petri dishes containing agar base medium at room temperature (temperature = 24.5 ± 1 °C, relative humidity = 76 ± 7% (average ± standard deviation)), and induced degenerated callus formation with plant growth regulator, were performed using short-wavelength near-infrared spectroscopy and aquaphotomics over A period of 26 days. The results of spectral analysis suggest changes in water absorbances due to the production of common metabolites, as well as increases in biomass and the sizes of the samples. Quantitative models built to predict the day of the development provided better accuracy for rice seedlings growth compared to callus formation. Eight common water bands were identified as presenting prominent changes in the absorbance pattern. The water matrix of only rice seedlings showed three developmental stages: firstly expressing a predominantly weakly hydrogen-bonded state, then a more strongly hydrogen-bonded state, and then, again, a weakly hydrogen-bonded state at the end. In rice callus induction and proliferation, no similar change in water absorbance pattern was observed. The presented findings indicate the potential of aquaphotomics for the in vivo detection of degeneration in cell development.MDPI AG, Sep. 2021, Plants, 10(9) (9), 1832 - 1832, English, No password, International magazine[Refereed]Scientific journal
- American Chemical Society (ACS), May 2021, Analytical Chemistry, 93(17) (17), 6817 - 6823[Refereed]Scientific journal
- Lead, Elsevier BV, Apr. 2021, Food Control, 122, 107805 - 107805[Refereed]Scientific journal
- Aquaphotomics for Bio-diagnostics in Dairy: Applications of Near-Infrared Spectroscopy, 2021, Aquaphotomics for Bio-diagnostics in Dairy: Applications of Near-Infrared SpectroscopyScientific journal
- Automated quality control could have a substantial economic impact on the dairy industry. At present, monitoring of yogurt production is performed by sampling for microbiological and physicochemical measurements. In this study, Near-Infrared Spectroscopy (NIRS) is proposed for non-invasive automated control of yogurt production and better understanding of lactic acid bacteria (LAB) fermentation. UHT (ultra-high temperature) sterilized milk was inoculated with Bulgarian yogurt and placed into a quartz cuvette (1 mm pathlength) and test-tubes. Yogurt absorbance spectra (830–2500 nm) were acquired every 15 min, and pH, in the respective test-tubes, was measured every 30 min, during 8 h of fermentation. Spectral data showed substantial baseline and slope changes with acidification. These variations corresponded to respective features of the microbiological growth curve showing water structural changes, protein denaturation, and coagulation of milk. Moving Window Principal Component Analysis (MWPCA) was applied in the spectral range of 954–1880 nm to detect absorbance bands where most variations in the loading curves were caused by LAB fermentation. Characteristic wavelength regions related to the observed physical and multiple chemical changes were identified. The results proved that NIRS is a valuable tool for real-time monitoring and better understanding of the yogurt fermentation process.Lead, {MDPI} {AG}, 2021, Sensors (Switzerland), 21(1) (1), 177 - 177[Refereed]Scientific journal
- Aquaphotomics utilizes water-light interaction for in-depth exploration of water, its structure and role in aqueous and biologic systems. The aquagram, a major analytical tool of aquaphotomics, allows comparison of water molecular structures of different samples by comparing their respective absorbance spectral patterns. Temperature is the strongest perturbation of water changing almost all water species. To better interpret and understand spectral patterns, the objective of this work was to develop a novel, temperature-scaled aquagram that provides standardized information about changes in water molecular structure caused by solutes, with its effects translated to those which would have been caused by respective temperature changes. NIR spectra of Milli-Q water in the temperature range of 20–70 °C and aqueous solutions of potassium chloride in concentration range of 1 to 1000 mM were recorded to demonstrate the applicability of the proposed novel tool. The obtained results presented the influence of salt on the water molecular structure expressed as the equivalent effect of temperature in degrees of Celsius. The temperature-based aquagrams showed the well-known structure breaking and structure making effects of salts on water spectral pattern, for the first time presented in the terms of temperature influence on pure water. This new method enables comparison of spectral patterns providing a universal tool for evaluation of various bio-aqueous systems which can provide better insight into the system’s functionality.{MDPI} {AG}, May 2020, Molecules, 25(9) (9), 2234 - 2234[Refereed]Scientific journal
- 2020, Scientific Reports, 10(1) (1)Scientific journal
- Currently, the water quality assessment is based on determination of a range of physico-chemical, and microbiological parameters, which is costly, time-consuming and requires multiple tests. Aquaphotomics strategy for water monitoring is based on the principle that the spectra of water are sensitive to all the chemical and physical perturbations, and as such reflect the state of water.In this study, aquaphotomics approach was applied on the near infrared spectra of water samples which underwent different filtration treatments performed by a commercially available water treatment system intended for the household use. The applicability of this approach was demonstrated using difference spectra, multivariate classification analysis and by visualizing the water spectral pattern in aquagrams. The results consistently showed that water samples produced by different filtration treatments have distinctive spectral patterns which characterize the state of water molecular network, and can be used for identification of the respective treatment, tracking efficiency of the treatment and monitoring the performance of water treatment systems.Elsevier BV, Jan. 2020, Talanta, 206, 120253 - 120253, English[Refereed]Scientific journal
- The research team of Kobe University’s Graduate School of Agriculture Science, led by Professor Dr Roumiana Tsenkova and a research group from Agrobioinstitute in Sofia, Bulgaria led by Professor Dr Dimitar Djilianov, recently made a significant step forward in understanding the “drying without dying” phenomenon in resurrection plants – a small group of plant species which are able to survive long periods without water. Using aquaphotomics and near infrared spectroscopy, the entire process of desiccation and subsequent rehydration in one such plant – Haberlea rhodopensis was monitored non-destructively and compared with botanically similar, non-resurrection species Deinostigma eberhardtii. The research found that during drying, resurrection plant performs controlled, organized restructuring of water molecular network in its leaves as a preparation for full desiccation which is characterized by accumulation of water molecular dimers and water molecules with four hydrogen bonds, while free water molecules are drastically diminished. This regulation of water structure in the leaves appears to be the protective mechanism against dehydration-induced damages of the tissues which ensures survival in the absence of water. The discovery that water molecular structure is important for preservation of plant tissues not only opens up new possibilities for bioengineering of crops better adapted to combat climate changes but may also have important implications for food preservation industry, preservation of tissues in medicine and in biomedical applications.SAGE Publications, Aug. 2019, NIR news, 30(5-6) (5-6), 22 - 25Scientific journal
- Aquaphotomics is a young scientific discipline based on innovative knowledge of water molecular network, which as an intrinsic part of every aqueous system is being shaped by all of its components and the properties of the environment. With a high capacity for hydrogen bonding, water molecules are extremely sensitive to any changes the system undergoes. In highly aqueous systems-especially biological-water is the most abundant molecule. Minute changes in system elements or surroundings affect multitude of water molecules, causing rearrangements of water molecular network. Using light of various frequencies as a probe, the specifics of water structure can be extracted from the water spectrum, indirectly providing information about all the internal and external elements influencing the system. The water spectral pattern hence becomes an integrative descriptor of the system state. Aquaphotomics and the new knowledge of water originated from the field of near infrared spectroscopy. This technique resulted in significant findings about water structure-function relationships in various systems contributing to a better understanding of basic life phenomena. From this foundation, aquaphotomics started integration with other disciplines into systematized science from which a variety of applications ensued. This review will present the basics of this emerging science and its technological potential.MDPI, Aug. 2019, MOLECULES, 24(15) (15), English[Refereed]Scientific journal
- OXFORD UNIV PRESS, Jun. 2019, NEPHROLOGY DIALYSIS TRANSPLANTATION, 34, EnglishIMPLEMENTING MACHINE LEARNING TO PREDICT VARIATIONS OF GLYCAEMIA DURING HEMODIALYSIS[Refereed]
- Haberlea rhodopensis is a resurrection plant with an extremely high desiccation tolerance. Even after long periods of almost full desiccation, its physiological functions are recovered shortly upon re-watering. In order to identify physiological strategies which contribute to its remarkable drought stress tolerance we used near infrared spectroscopy to investigate the state of water in the leaves of this plant and compared it to its relative, non-resurrection plant species Deinostigma eberhardtii. Here we show, using a novel aquaphotomics spectral analysis, that H. rhodopensis performs a dynamic regulation of water molecular structure during dehydration directed at drastic decrease of free water molecules, increase of water molecules with 4 hydrogen bonds, and a massive accumulation of water dimers in the full desiccation stage. Our findings suggest that changes in water structure mirror the changes in major metabolites and antioxidants which together constitute a robust defense system underlying the desiccation tolerance of the resurrection plant, while the water dimer may hold special importance for the "drying without dying" ability.NATURE PUBLISHING GROUP, Feb. 2019, SCIENTIFIC REPORTS, 9, English[Refereed]Scientific journal
- 2019, Planta MedicaScientific journal
- 2019, Substantia, 3(2) (2), 13 - 28[Refereed]Scientific journal
- Aquaphotomics is a novel scientific discipline involving the study of water and aqueous systems. Using light-water interaction, it aims to extract information about the structure of water, composed of many different water molecular conformations using their absorbance bands. In aquaphotomics analysis, specific water structures (presented as water absorbance patterns) are related to their resulting functions in the aqueous systems studied, thereby building an aquaphotome-a database of water absorbance bands and patterns correlating specific water structures to their specific functions. Light-water interaction spectroscopic methods produce complex multidimensional spectral data, which require data processing and analysis to extract hidden information about the structure of water presented by its absorbance bands. The process of extracting information from water spectra in aquaphotomics requires a field-specific approach. It starts with an appropriate experimental design and execution to ensure high-quality spectral signals, followed by a multitude of spectral analysis, preprocessing and chemometrics methods to remove unwanted influences and extract water absorbance spectral pattern related to the perturbation of interest through the identification of activated water absorbance bands found among the common, consistently repeating and highly influential variables in all analytical models. The objective of this paper is to introduce the field of aquaphotomics and describe aquaphotomics multivariate analysis methodology developed during the last decade. Through a worked-out example of analysis of potassium chloride solutions supported by similar approaches from the existing aquaphotomics literature, the provided instruction should give enough information about aquaphotomics analysis i.e. to design and perform the experiment and data analysis as well as to represent water absorbance spectral pattern using various forms of aquagrams-specifically designed aquaphotomics graphs. The explained methodology is derived from analysis of near infrared spectral data of aqueous systems and will offer a useful and new tool for extracting data from informationally rich water spectra in any region. It is the hope of the authors that with this new tool at the disposal of scientists and chemometricians, pharmaceutical and biomedical spectroscopy will substantially progress beyond its state-of-the-art applications.FRONTIERS MEDIA SA, Aug. 2018, FRONTIERS IN CHEMISTRY, 6, English[Refereed]Scientific journal
- Cervical cancer is the fourth most common cancer worldwide. The fact that cervical cancer takes many years to develop indicates that mortality rates can be significantly decreased with early detection. This is why screening tests for early cervical cancer detection are so important, especially in developing countries where screening programs are not available to the same extent as in developed countries. About 84% of all cervical cancer cases in 2012 occurred in less developed countries mainly due to the lack of effective screening programs. Even if the necessary infrastructure in one country exists, the cost of screening test is usually too high. Finally, the accuracy of screening test needs to be satisfying in order to detect all the abnormal cases and treat them effectively. Papanicolaou test is still the most effective screening test for cervical cancer detection so far. However, the accuracy of Papanicolaou test is closely related to the expertise of the cytopathologist and therefore the accuracy varies producing relatively low sensitivity of Papanicolaou test (50-85%). HPV DNA test is approved as primary screening test, but so far it gives better results when it is used in conjunction with cytology. We present a method and device for detection of cervical cancer based on optomagnetic imaging spectroscopy (OMIS) and compare the results for cancer detection using stained and fresh unstained cervical cell samples. Compared to stained samples, unstained fresh sample classification by OMIS into healthy/cancerous group with Na < ve Bayes classifier gave higher accuracy (96% compared to 85,18%).SPRINGER HEIDELBERG, Dec. 2017, JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 37(6) (6), 936 - 943, English[Refereed]Scientific journal
- Biomaterials in Clinical Practice: Advances in Clinical Research and Medical Devices, 2017, Biomaterials in Clinical Practice: Advances in Clinical Research and Medical DevicesScientific journal
- Nano- and Microscale Drug Delivery Systems: Design and Fabrication, 2017, Nano- and Microscale Drug Delivery Systems: Design and FabricationScientific journal
- In this study a technique was developed to predict the meat freshness decay by employing a nondestructive visible imaging method and a computer assisted analysis. The technique uses Opto-magnetic imaging spectroscopy and machine learning algorithms for detecting of freshness during storage. The opto-magnetic spectra of meat samples were acquired at 0, 12 and 24 hours of refrigerated storage using specially developed imaging system and computer image processing algorithm. The obtained spectra were related to the storage time of the samples, and several machine learning classification algorithms were tested. The best prediction results of freshness for chicken and beef was achieved using lazy IB1 classifier with the accuracy of 97.47% for chicken, and 98.23% for beef. Since the method is concerned with detecting changes in the state of water in tissues, the freshness decay period was estimated based on changes in meat hydration properties.UNIV BELGRADE, FAC MECHANICAL ENGINEERING, 2017, FME TRANSACTIONS, 45(4) (4), 597 - 602, English[Refereed]Scientific journal
- Density, viscosity and refractive index of binary mixtures consisting of diethyl succinate + 1-propanol, or + 1-butanol, or + 1-hexanol have been measured at atmospheric pressure and over the temperature range from 288.15 K to 323.15 K. Excess and deviation functions have been calculated from these data and fitted to the Redlich-Kister equation. The values of excess molar volume and deviation functions, with Fourier transform infrared (FT-IR) spectroscopy, were further used in the analysis of molecular interactions present in the mixture as well as the temperature influence on them. (C) 2016 Elsevier Ltd.ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, Oct. 2016, JOURNAL OF CHEMICAL THERMODYNAMICS, 101, 323 - 336, English[Refereed]Scientific journal
- The functionality of soft contact lenses depends strongly on the water content and their water-transport ability. This study was conducted in order to examine the state of water in two sets of soft contact lenses: VSO38, pHEMAFilcon I 1, and VSO50, copolymer of HEMA and VP Filcon II 1 (HEMA = 2-hydroxy-ethylmethacrylate; VP = vinyl pyrrolidone). Hydrogel lenses were studied using near-infrared spectroscopy and the novel Aquaphotomics approach in order to determine the state of water in materials based on their near-infrared spectra. Aquaphotomics approach investigates absorption at specific vibrational bands of water's covalent and hydrogen bonds which can provide information on how the water structure changes with the structural change of the polymer network. Principal component analysis and specific star-chart "aquagram" were used to analyse water spectral pattern in hydrogel materials. The findings show that material VSO38 has water predominantly organized in bound state, while material with higher water content, VSO50, has more free and weakly hydrogen bonded water. Our findings define in detail exact water species existing and interacting with the polymer network. The results show qualitative and quantitative possibilities of Aquaphotomics for better modelling and understanding water behaviour in hydrogel materials.HINDAWI PUBLISHING CORP, 2016, INTERNATIONAL JOURNAL OF POLYMER SCIENCE, English[Refereed]Scientific journal
- The aim of this study was to determine if it is possible to distinguish between the groups of spoiled and unspoiled soft contact lenses using near-infrared spectroscopy and new analytical approach - Aquaphotomics. Using the principal component analysis, it was established that the absorbance spectra of worn and new contact lenses are differed at water absorption band related to hydration of proteins. Detection of proteins thus was performed indirectly by using vibrations of water molecules. This exploratory study showed that near-infrared spectroscopy and Aquaphotomics have potential for non-invasive, chemical-free detection of protein deposits on hydrated soft contact lenses.TAYLOR & FRANCIS INC, 2016, SOFT MATERIALS, 14(4) (4), 264 - 271, English[Refereed]Scientific journal
- 2015, European Journal of CancerScientific journal
- Despite that water is one of the most studied materials today its dynamic properties are still not well understood. Water state in human organism is of high importance for normal healthy functioning of human body. Different kinds of water are usually classified according to their present solutes and concentrations of these solutes, but though it is known that water molecules can form clusters around present solutes, the classification of waters based on types of water molecular organization and present clusters is not present in current literature. In this study the multivariate analysis is used for classification of commercial mineral waters based on their near-infrared spectra (NIR). Further, the aquaphotomics has been applied, a new approach for interpretation of near-infrared spectra of water, that gives insight into organization of water molecules in each of these waters.ASSOC CHEMICAL ENGINEERS SERBIA, Mar. 2014, HEMIJSKA INDUSTRIJA, 68(2) (2), 257 - 264, English[Refereed]Scientific journal
- Centre for Evaluation in Education and Science ({CEON}/{CEES}), 2014, FME Transactions, 42(3) (3), 256 - 262[Refereed]Scientific journal
- Centre for Evaluation in Education and Science ({CEON}/{CEES}), 2014, FME Transactions, 42(2) (2), 172 - 176, English[Refereed]Scientific journal
- Centre for Evaluation in Education and Science ({CEON}/{CEES}), 2014, FME Transactions, 42(1) (1), 82 - 87[Refereed]Scientific journal
- 2013, NANOSAFE 2012: INTERNATIONAL CONFERENCES ON SAFE PRODUCTION AND USE OF NANOMATERIALSScientific journal
- Since their discovery in 1985, fullerenes have attracted considerable attention. Their unique carbon cage structure provides numerous opportunities for functionalization, giving this nanomaterial great potential for applications in the field of medicine. Analysis of the chemical, physical, and biological properties of fullerenes and their derivatives showed promising results. In this study, functionalized fullerene based nanomaterials were characterized using near infrared spectroscopy, and a novel method - Aquaphotomics. These nanomaterials were then used for engineering a new skin cream formula for their application in cosmetics and medicine. In this paper, results of nano cream effects on the skin (using near infrared spectroscopy and aquaphotomics), and existing results of biocompatibility and cytotoxicity of fullerene base nanomaterials, are presented. © (2013) Trans Tech Publications, Switzerland.Trans Tech Publications Ltd, 2013, Advanced Materials Research, 633(633) (633), 224 - 238, EnglishScientific journal
- 2012, Acta Physica Polonica A, 121(3) (3)Scientific journal
- 2012, FME Transactions, 40(2) (2), 51 - 56Aquagrams: Water Spectral Pattern as Characterization of Hydrogenated Nanomaterial[Refereed]Scientific journal
- Joint work, Apple Academic Press, Inc. Co-published with CRC Press (Taylor & Francis), 2024, ISBN: 9781003415763Potential of Aquaphotomics for Determination of Quality of Natural Foods, Sustainable and Functional Foods from Plants, Goyal M.R, Nath A., Kovacs Z., (eds.),
- Joint work, Springer Nature, Singapore, 2022, ISBN: 9789811671135Aquaphotomics for Bio-diagnostics in Dairy: Applications of Near Infrared Spectroscopy
- Joint work, CRC Press, Taylor & Francis Group, 2021Handbook of Near Infrared Analysis 4th ed. Ciurczak E., Igne B., Wokman J.Jr, Burns D.A. (eds.), Chapter 32: Aquaphotomics
- Joint work, CRC Press, Taylor&Francis Group, 2020The Soil-Human Health Nexus, Rattan L. (ed.), Chapter 10: Soil aquaphotomics for understanding soil-health relation through water-light interaction