Books & Book Chapters
6. Tsenkova, R., Muncan J. (Eds.), Aquaphotomics – Exploring Water Molecular Systems in Nature, Reprinting of the Special Issue Aquaphotomics – Exploring Water Molecular Systems in Nature from Molecules journal, MDPI, 375, 2023 ISBN 978-3-0365-7118-8 (hardback); ISBN 978-3-0365-7119-5 (Link)
5. Muncan, J., Aouadi, B., Tsenkova, R.: Sustainable and Functional Foods from Plants, M. Goyal, D. Nath, Z. Kovács, (eds.), chapter 12: Potential of Aquaphotomics for Determination of Quality of Natural Foods, CRC Press, Taylor & Francis Group, 2023. (Link)
4. Tsenkova, R. and Muncan, J. (2021). Aquaphotomics for Bio-diagnostics in Dairy: Applications of Near-Infrared Spectroscopy. Springer Publishing. ISBN:9789811671135. (Link)
3. Tsenkova, R., Muncan, J., Kovacs, Z.: Handbook of Near Infrared Analysis 4th ed. Ciurczak, E., Igne, B., Wokman, J.Jr, Burns, D.A. (eds.), Chapter 32: Aquaphotomics, CRC Press, Taylor & Francis Group, 948, 2021. (Link)
2. Muncan, J., Aouadi, B., Tsenkova, R.: Plant-based Bioactives, Functional foods, Beverages and Medicines: Processing, Analysis and Health benefit, Goyal, M.R, Kovacs, Z., Nath, A., Suleria, H. (eds.), New perspectives in plant and plant-based food quality determination: Aquaphotomics, Apple Academic Press, Inc. under Taylor & Francis Group, 2021.
1. Muncan J., Aoudi B., Vitalis F., Kovacs Z., Tsenkova R., The Soil-Human Health Nexus, Rattan L. (ed.), Chapter 10: Soil aquaphotomics for understanding soil-health relation through water-light interaction, CRC Press, Taylor & Francis Group, 336, 197-222, 2021 (Link)
Peer Reviewed Research Papers
21. Jelena Muncan, Roumiana Tsenkova. Aquaphotomics – Exploring Water Molecular Systems in Nature, Molecules, 28(6), p.2630, 2023. (Link)
20. Jelena Muncan, Mari Miyazaki, Shinichiro Kuroki, Kentarou Ikuta, Roumiana Tsenkova. Adaptive Spectral Model for abnormality detection based on physiological status monitoring of dairy cows, Talanta, 253(1), p.123893, 2023. (Link)
19. Flora Vitalis, Jelena Muncan, Sukritta Anantywittayanon, Zoltan Kovacs, Roumiana Tsenkova. Aquaphotomics Monitoring of Lettuce Freshness during Cold Storage. Foods, 12(2), p. 258, 2023. (Link)
18. Jelena Muncan, Sukritta Anantawittayanon, Tetsuya Furuta, Toshiya Kaneko and Roumiana Tsenkova. Aquaphotomics monitoring of strawberry fruit during cold storage – A comparison of two cooling systems, Frontiers in Nutrition, 9, p.1058173, 2022. (Link)
17. Jelena Muncan, Satoshi Tamura, Yuri Nakamura, Mizuki Takigawa, Hisao Tsunokake, Roumiana Tsenkova. Aquaphotomics Study of Effects of Different Mixing Waters on the Properties of Cement Mortar, Molecules, 27(22), p.7885, 2022. (Link)
16. Muna E.Raypah, Jelena Muncan, Suhainah Sudik, Ahmad Fairuz Omar, Mohd Hafiz Mail, Roumiana Tsenkova, Azman Seeni. Implication of phenol red in quantification of cultured cancerous cells using near-infrared spectroscopy and aquaphotomics, Chemomertics and Intelligent Laboratory Systems, Elsevier, 230, p.104669, 2022. (Link)
15. Aleksandar Stoilov, Jelena Muncan, Kiyoko Tsuchimoto, Nakanishi Teruyaki, Shogo Sigeoka, Roumiana Tsenkova. Pilot Aquaphotomic Study of the Effects of Audible Sound on Water Molecular Structure, Molecules, 27(19), p.6332, 2022. (Link)
14. Muna E.Raypah, Jelena Muncan, Suhainah Sudik, Ahmad Fairuz Omar, Mohd Hafiz Mail, Roumiana Tsenkova, Azman Seeni. Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red, Chemomertics and Intelligent Laboratory Systems, Elsevier, 227, p.104611, 2022. (Link)
13. Felix Scholkmann and Roumiana Tsenkova. Changes in Water Properties in Human Tissue after Double Filtration Plasmapheresis -A Case Study. Molecules, 27(12), p.3947, 2022. (Link)
12. Zoltan Kovacs, Jelena Muncan, Petya Veleva, Mitsue Oshima, Shogo Shigeoka, Roumiana Tsenkova, 2022. Aquaphotomics for monitoring of groundwater using short-wavelength near-infrared spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, p. 121378, 2022. (Link)
11. Jelena Muncan, Balasooriya Mudiyanselage Siriwijaya Jinendra, Shinichiro Kuroki and Roumiana Tsenkova. Aquaphotomics Research of Cold Stress in Soybean Cultivars with Different Stress Tolerance Ability: Early Detection of Cold Stress Response. Molecules, 27(3), p.744, 2022. (Link)
10. Dušan Kojić, Roumiana Tsenkova, and MasatoYasui. Self-subtraction improves consistency in spectral curve fitting. Journal of Quantitative Spectroscopy and Radiative Transfer, 277, p. 107991, 2022. (Link)
9. Malegori, C., Muncan, J., Mustorgi, E., Tsenkova, R. and Oliveri, P., 2021. Analysing the Water Spectral Pattern by Near-Infrared Spectroscopy and Chemometrics as a Dynamic Multidimensional Biomarker in Preservation: Rice Germ Storage Monitoring. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, p.120396. (Link)
8. Wei, X., Zang, H., Guan, Y., Yang, C., *Muncan, J., Li, L., Aquaphotomics investigation of the state of water in oral liquid formulation of Traditional Chinese medicine and its dynamics during temperature perturbation, New Journal of Chemistry, 2022. (Link)
7. Raypah, M.E., Omar, A.F., Muncan, J., Zulkurnain, M., Najib, A.R.A., Identification of Stingless Bee Honey Adulteration Using Visible-Near Infrared Spectroscopy Combined with Aquaphotomics, Special Issue: Aquaphotomics – Exploring the Water Molecular Systems in Nature, Molecules, 27 (7), p.2324, 2022. (Link)
6. Zahir, S.A.D.M.,Omar, A.F.,Jamlos, M.F., Azmi, M.A.M., Muncan, J., A Review of Visible and Near-Infrared (Vis-NIR) Spectroscopy Application in Plant Stress Detection, Sensors and Actuators: A. Physical, 338 (1), p. 113468, 2022. (Link)
5. Kato, Y., Munćan, J., Tsenkova, R., Kojić, D., Yasui, M., Fan, J.Y. and Han, J.Y., 2021. Aquaphotomics Reveals Subtle Differences between Natural Mineral, Processed and Aged Water Using Temperature Perturbation Near-Infrared Spectroscopy. Applied Sciences, 11(19), p.9337. (Link)
4. Muncan, J., Tei, K., Tsenkova, R.: Real-time monitoring of yogurt fermentation process by aquaphotomics near-infrared spectroscopy, Sensors (Switzerland), 21(1), 1-18, 2021. (Link)
3. Muncan, J., Kovacs, Z., Pollner, B., Ikuta, K., Ohtani, Y., Terada, F., Tsenkova, R.,: Near infrared aquaphotomics study on common dietary fatty acids in cow’s liquid, thawed milk, Food Control, 122, 107805, 2021 (Link)
2. Kovacs Z., Muncan J., Ohmido N., Bazar G., Tsenkova R. (2021) Water Spectral Patterns Reveals Similarities and Differences in Rice Germination and Induced Degenerated Callus Development. Plants. 2021; 10(9):1832. (Link)
1. Mallet, A., Tsenkova, R., Muncan, J., Charnier, C., Latrille, É., Bendoula, R., Stayer, J.P. & Roger, J. M. (2021). Relating Near-Infrared Light Path-Length Modifications to the Water Content of Scattering Media in Near-Infrared Spectroscopy: Toward a New Bouguer–Beer–Lambert Law. Analytical Chemistry, 93(17), 6817-6823. (Link)
Publications from Biomeasurement Technology Laboratory, Graduate School of Agricultural Science (2020 and before)
100. Tanaka, S., Tsenkova, R., Yasui, M.: Details of glucose solution near-infrared band assignment revealed the anomer difference in the structure and the interaction with water molecules, Journal of Molecular Liquids, 114764, 2020 (Link)
99. Muncan, J., Kovacs, Z., Pollner, B., Ikuta, K., Ohtani, Y., Terada, F., & Tsenkova, R. (2021). Near infrared aquaphotomics study on common dietary fatty acids in cow’s liquid, thawed milk. Food Control, 122(December 2020), 107805. (Link)
98. Xu, J., Dorrepaal, R. M., Martinez-Gonzalez, J., Tsenkova, R., & Gowen, A. A. (2020). Near-infrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems. Journal of Chemometrics, (May), 1–16. (Link)
97. Kovacs, Z., Pollner, B., Bazar, G., Muncan, J., & Tsenkova, R. (2020). A Novel Tool for Visualization of Water Molecular Structure and Its Changes, Expressed on the Scale of Temperature Influence. Molecules 2020, 25, 2234. (Link)
96. Muncan, J., Matovic, V., Nikolic, S., Askovic, J., & Tsenkova, R. (2020). Aquaphotomics approach for monitoring different steps of purification process in water treatment systems. Talanta, 206, 2020, 120253. (Link)
95. van de Kraats, E, Muncan, J., & Tsenkova, R. (2019). Aquaphotomics – Origin, concept, applications and future perspectives. Substantia 3(2) Suppl. 3: 13-28. (Link)
94. Muncan, J., Kuroki, S., Moyankova, D., Morita, H., Atanassova, S., Djilianov, D., & Tsenkova, R. (2019). Recent advancements in plant aquaphotomics – Towards understanding of “drying without dying” phenomenon and its implications. NIR News, 30(5–6), 22–25. (Link)
93. Renati, P., Kovacs, Z., De Ninno, A., & Tsenkova, R. (2019). Temperature dependence analysis of the NIR spectra of liquid water confirms the existence of two phases, one of which is in a coherent state. Journal of Molecular Liquids, 292, 111449. (Link)
92. Kuroki, S., Tsenkova, R., Moyankova, D. P., Muncan, J., Morita, H., Atanassova, S., & Djilianov, D. (2019). Water molecular structure underpins extreme desiccation tolerance of the resurrection plant Haberlea rhodopensis. Scientific Reports, 9(3049), 1–12. (Link)
91. Muncan, J., Tsenkova, R. (2019). Aquaphotomics — From Innovative Knowledge to Integrative Platform in Science and Technology. Molecules, 24(15). (Link)
90. Kuroki, S., Tsenkova, R., Moyankova, D., Muncan, J., Morita, H., Atanassova, S. and Djilianov, D. (2019). Water molecular structure underpins extreme desiccation tolerance of the resurrection plant Haberlea rhodopensis. Scientific Reports, 9(3049). (Link)
89. Tsenkova, R., Munćan, J., Pollner, B., and Kovacs, Z. (2018). Essentials of Aquaphotomics and Its Chemometrics Approaches. Frontiers in Chemistry, 6(August), 363. 2018. (Link)
88. Tanaka, S., Kojić, D., Tsenkova, R., and Yasui, M. Quantification of anomeric structural changes of glucose solutions using near-infrared spectra. Carbohydrate Research, 463(March), 40–46. 2018. (Link)
87. Putra, A., Vassileva, M., Santo, R., and Tsenkova, R (2017). An efficient near infrared spectroscopy based on aquaphotomics technique for rapid determining the level of Cadmium in aqueous solution. IOP Conference Series: Materials Science and Engineering, 210(1). 2017. (Link)
86. Slavchev, A., Kovacs, Z., Koshiba, H., Bazar, G., Pollner, B., Krastanov, A., & Tsenkova, R. (2017). Monitoring of Water Spectral Patterns of Lactobacilli as a Tool for Rapid Selection of Probiotic Candidates. Journal of Near Infrared Spectroscopy. (Link)
85. Kojić, D., Tsenkova, R., & Yasui, M. (2017). Improving accuracy and reproducibility of vibrational spectra for diluted solutions. Analytica Chimica Acta, 955, 86–97. (Link)
84. Kovacs, Z., Bázár, G., Oshima, M., Shigeoka, S., Tanaka, M., Furukawa, A., … Tsenkova, R. (2016). Water spectral pattern as holistic marker for water quality monitoring. Talanta, 147, 598–608. (Link)
83. Bazar, G., Kovacs, Z., & Tsenkova, R. (2016). Evaluating spectral signals to identify spectral error. PLoS ONE, 11(1), 1–15. (Link)
82. Kinoshita, K., Kuze, N., Kobayashi, T., Miyakawa, E., Narita, H., Inoue-Murayama, M., … Tsenkova, R. (2016). Detection of urinary estrogen conjugates and creatinine using near infrared spectroscopy in Bornean orangutans (Pongo Pygmaeus). Primates, 57(1), 51–59. (Link)
81. Bázár, G., Romvári, R., Szabó, A., Somogyi, T., Éles, V., & Tsenkova, R. (2016). NIR detection of honey adulteration reveals differences in water spectral pattern. Food Chemistry, 194, 873–880. (Link)
80. Takemura, G., Barzar, G., Shou, I., Ikuta, K., Furukawa, A., Kubota, Y., & Tsenkova, R. (2015). Non-destructive Diagnosis of Estrus in Dairy Cows for Improvement of Reproductive Rate and Production Rate. Journal of the Japanese Society of Agricultural Machinery and Food Engineers, 77(3), 140–145. (Link)
79. Kubota, Y., Osawa, M., Ikuta, K., & Tsenkova, R. (2015). Development of Freshness Assessment Technology for High-Value Added Raw Milk. Journal of the Japanese Society of Agricultural Machinery and Food Engineers, 77(3), 135–139. (Link)
78. Cattaneo, T. M. P., Bazar, G., Gowen, A. A., Greppi, G. F., Mura, S., & Tsenkova, R. (2015). Water monitoring with hyperspectral techniques. Transitional Waters Bulletin, 9(1), 11–19. (Link)
77. Gowen, A. A., Marini, F., Tsuchisaka, Y., De Luca, S., Bevilacqua, M., O’Donnell, C., … Tsenkova, R. (2015). On the feasibility of near infrared spectroscopy to detect contaminants in water using single salt solutions as model systems. Talanta, 131, 609–618. (Link)
76. Slavchev, A., Kovacs, Z., Koshiba, H., Nagai, A., Bázár, G., Krastanov, A., … Tsenkova, R. (2015). Monitoring of water spectral pattern reveals differences in probiotics growth when used for rapid bacteria selection. PLoS ONE, 10(7), 1–18. (Link)
75. Tsenkova, R. (2015). Aquaphotomics for Bio Monitoring, Diagnosis Technology and Food Quality Evaluation. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY and FODD ENGINEERING, 77(3), 133–134. (Link)
74. Takemura, G., Bazar, G., Ikuta, K., Yamaguchi, E., Ishikawa, S., Furukawa, A., … Tsenkova, R. (2015). Aquagrams of raw milk for oestrus detection in dairy cows. Reproduction in Domestic Animals, 50(3), 522–525. (Link)
73. Bázár, G., Kovacs, Z., Tanaka, M., Furukawa, A., Nagai, A., Osawa, M., … Tsenkova, R. (2015). Water revealed as molecular mirror when measuring low concentrations of sugar with near infrared light. Analytica Chimica Acta, 896, 52–62. (Link)
72. Mladenov, M., Dejanov, M. P., & Tsenkova, R. (2015). Improving the grain quality assessment fusing data from image and spectra analyses. Bulgarian Journal of Agricultural Science, 21(1), 225–236. Retrieved from (Link)
71. Koshiba, H., Slavchev, A., Kovacs, Z., Kubota, Y., & Tsenkova, R. (2015). Easy and Rapid Screening of Probiotic Strains. Journal of the Japanese Society of Agricultural Machinery and Food Engineers, 77(3), 146–150. (Link)
70. Goto, N., Bazar, G., Kovacs, Z., Kunisada, M., Morita, H., Kizaki, S., … Nishigori, C. (2015). Detection of UV-induced cyclobutane pyrimidine dimers by near-infrared spectroscopy and aquaphotomics. Scientific Reports, 5(1), 11808. (Link)
69. Mladenov, M. I., Dejanov, M. P., & Tsenkova, R. (2014). Complex assessment of grain quality using image and spectra analyses. Journal of Food Measurement and Characterization, 8(3), 180–194. (Link)
68. Chatani, E., Tsuchisaka, Y., Masuda, Y., & Tsenkova, R. (2014). Water molecular system dynamics associated with amyloidogenic nucleation as revealed by real time near infrared spectroscopy and aquaphotomics. PloS One, 9(7), e101997. (Link)
67. Morita, H., Hasunuma, T., Vassileva, M., Kondo, A., & Tsenkova, R. (2014). A new screening method for recombinant Saccharomyces cerevisiae strains based on their xylose fermentation ability measured by near infrared spectroscopy. Analytical Methods, 6(17), 6628. (Link)
66. Kojić, D., Tsenkova, R., Tomobe, K., Yasuoka, K., & Yasui, M. (2014). Water confined in the local field of ions. ChemPhysChem, 15(18), 4077–4086. (Link)
65. Morita, H., Kuroki, S., Ikuta, K., & Tsenkova, R. (2013). Real-time near infrared spectral monitoring of mammary gland for inflammation diagnosis in dairy cows. Journal of Near Infrared Spectroscopy, 21(October), 427–433. (Link)
64. Matija, L., Tsenkova, R., Munćan, J., Miyazaki, M., Banba, K., Tomić, M., & Jeftić, B. (2013). Fullerene Based Nanomaterials for Biomedical Applications: Engineering, Functionalization and Characterization. Advanced Materials Research, 633(June 2015), 224–238. (Link)
63. Gowen, A. A., Amigo, J. M., & Tsenkova, R. (2013). Characterisation of hydrogen bond perturbations in aqueous systems using aquaphotomics and multivariate curve resolution-alternating least squares. Analytica Chimica Acta, 759, 8–20. (Link)
62. Meilina, H., Supardan, M. D., Putra, A., Kuroki, S., & Tsenkova, R. (2013). Detection of Ethanol Adulteration in Citronellal Oil by using Near Infared Spectroscopy and Multivariate Data Analysis. International Journal on Advance Science, Engineering and Information Technology, 3(2), 188–190. (Link)
61. Mladenov, M., Draganova, T., Tsenkova, R., & Mustafa, M. (2012). Quality assessment of grain samples using spectra analysis. Biosystems Engineering, 111(3), 251–260. (Link)
60. Matija, L. R., Tsenkova, R. N., Miyazaki, M., Banba, K., & Muncan, J. S. (2012). Aquagrams: Water spectral pattern as characterization of hydrogenated nanomaterial. FME Transactions, 40(2), 51–56. Retrieved from (Link)
59. Nakakimura, Y., Vassileva, M., Stoyanchev, T., Nakai, K., Osawa, R., Kawano, J., & Tsenkova, R. (2012). Extracellular metabolites play a dominant role in near-infrared spectroscopic quantification of bacteria at food-safety level concentrations. Analytical Methods, 4(5), 1389. (Link)
58. Kinoshita, K., Miyazaki, M., Morita, H., Vassileva, M., Tang, C., Li, D., … Tsenkova, R. (2012). Spectral pattern of urinary water as a biomarker of estrus in the giant panda. Scientific Reports, 2, 856. (Link)
57. Gowen, A. A., Tsenkova, R., Bruen, M., & Odonnell, C. (2012). Vibrational spectroscopy for analysis of water for human use and in aquatic ecosystems. Critical Reviews in Environmental Science and Technology, 42(23), 2546–2573. (Link)
56. Morita, H., Hasunuma, T., Vassileva, M., Tsenkova, R., & Kondo, A. (2011). Near infrared spectroscopy as high-throughput technology for screening of xylose-fermenting recombinant saccharomyces cerevisiae strains. Analytical Chemistry, 83(11), 4023–4029. (Link)
55. Mladenov, M., Deyanov, M., Tsenkova, R., Mustafa, M., Penchev, S., & Draganova, T. (2011). Grain Sample Quality Assessment using Color Image and Spectra Analysis. Anale. Seria Informatica, IX, 109–130. Retrieved from (Link)
54. Gowen, A. a., Tsuchisaka, Y., O’Donnell, C., & Tsenkova, R. (2011). Investigation of the Potential of Near Infrared Spectroscopy for the Detection and Quantification of Pesticides in Aqueous Solution. American Journal of Analytical Chemistry, 2(8), 53–62. (Link)
53. Mladenov, M. I., Draganova, T., & Tsenkova, R. (2011). Grain sample quality assessment using Intechn and Unscrambler platforms. Agricultural Science and Technology, 3(2), 179–185. Retrieved from (Link)
52. Jinendra, B., Tamaki, K., Kuroki, S., Vassileva, M., Yoshida, S., & Tsenkova, R. (2010). Near infrared spectroscopy and aquaphotomics : Novel approach for rapid in vivo diagnosis of virus infected soybean. Biochemical and Biophysical Research Communications, 397(4), 685–690. (Link)
51. Miyazaki, M., & Tsenkova, R. (2010). Near Infrared Spectroscopy for Mastitis Diagnosis. The Review of Laser Engineering, 39(4), 250–254. (Link)
50. Kinoshita, K., Morita, H., Miyazaki, M., Hama, N., Kanemitsu, H., Kawakami, H., … Tsenkova, R. (2010). Near infrared spectroscopy of urine proves useful for estimating ovulation in giant panda (Ailuropoda melanoleuca). Analytical Methods, 2(207890), 1671. (Link)
49. Tsenkova, R. (2009). Aquaphotomics: dynamic spectroscopy of aqueous and biological systems describes peculiarities of water. Journal of Near Infrared Spectroscopy, 17(6), 303–314. (Link)
48. Meilina, H., Kuroki, S., Jinendra, B. M., Ikuta, K., & Tsenkova, R. (2009). Double threshold method for mastitis diagnosis based on NIR spectra of raw milk and chemometrics. Biosystems Engineering, 104(2), 243–249. (Link)
47. Gowen, A. A., Tsenkova, R., Esquerre, C., Downey, G., & O’Donnell, C. P. (2009). Use of near infrared hyperspectral imaging to identify water matrix co-ordinates in mushrooms (Agaricus bisporus) subjected to mechanical vibration. Journal of Near Infrared Spectroscopy, 17(6), 363–371. (Link)
46. Tsenkova, R., Meilina, H., Kuroki, S., & Burns, D. H. (2009). Near infrared spectroscopy using short wavelengths and leave-one-cow-out cross-validation for quantification of somatic cells in milk. Journal of Near Infrared Spectroscopy, 17(6), 345–351. (Link)
45. Atanassova, S., Panayotov, M., & Tsenkova, R. (2008). Application of near infrared spectroscopy for classification of BOMBYX MORI L. COCOONS with different fluorescence. Journal of Animal Science, 5, 40–44. Retrieved from (Link)
44. Sakudo, A., Yoshimura, E., Tsenkova, R., Ikuta, K., & Onodera, T. (2007). Native state of metals in non-digested tissues by partial least squares regression analysis of visible and near-infrared spectra. The Journal of Toxicological Sciences, 32(2), 135–41. (Link)
43. Morita, H., Ikuta, K., Sirividjaya, J., Meilina, H., & Tsenkova, R. (2007). NIRS for Raw Milk Analysis and Mastitis Diagnosis of Dairy Cows. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 69, 15–18. (Link)
42. Sulieman, A. M. E. H., & Tsenkova, R. (2007). Manufacture and quality of fermented milks prepared using pure strains of lactic acid bacteria (LAB) and yeast. Research Journal of Microbiology, 2(9), 684–689. (Link)
41. Sulieman, A. M. E., Osawa, R., & Tsenkova, R. (2007). Isolation and identification of lactobacilli from Garris, a Sudanese fermented camel’s milk product. Research Journal of Microbiology, 2(2), 125–132. (Link)
40. Shinzawa, H., Tsenkova, R., & Ozaki, Y. (2007). Chemometrics for Near-infrared Spectra. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 69(3), 8–10. (Link)
39. TEI, K., NAKAO, A., NAKAMURA, S., & TSENKOVA, R. (2007). Bio-monitoring of Yogurt Fermentation Process by Near Infrared Spectroscopy. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 69(3), 19–24. (Link)
38. Tsenkova, R., Atanassova, S., Morita, H., Ikuta, K., & Toyoda, K. (2006). Near infrared spectra of cows’ milk for milk quality evaluation: disease diagnosis and pathogen identification. Journal of Near Infrared Spectroscopy, 370(14), 363–370. (Link)
37. Tsugehara, T., Tsenkova, R., & Takeda, M. (2006). A non-invasive monitoring of developmental changes in pupal case of Antheraea pernyi by near-infrared spectroscopy. International Journal of Wild Silkmoth and Silk, 11, 14–20. Retrieved from (Link)
36. Sakudo, A., Tsenkova, R., Tei, K., Morita, H., Ikuta, K., & Onodera, T. (2006). Ex vivo tissue discrimination by visible and near-infrared spectra with chemometrics. The Journal of Veterinary Medical Science / the Japanese Society of Veterinary Science, 68(12), 1375–1378. (Link)
35. Sakudo, A., Tsenkova, R., Tei, K., Onozuka, T., Ikuta, K., Yoshimura, E., & Onodera, T. (2006). Comparison of the vibration mode of metals in HNO3 by a partial least-squares regression analysis of near-infrared spectra. Bioscience, Biotechnology and Biochemistry, 70(7), 1578–1583. (Link)
34. Shinzawa, H., Morita, S., Ozaki, Y., & Tsenkova, R. (2006). New method for spectral data classification: two-way moving window principal component analysis. Applied Spectroscopy, 60(8), 884–891. (Link)
33. Morita, S., Shinzawa, H., Tsenkova, R., Noda, I., & Ozaki, Y. (2006). Computational simulations and a practical application of moving-window two-dimensional correlation spectroscopy. Journal of Molecular Structure, 799(1–3), 111–120. (Link)
32. Sakudo, A., & Tsenkova, R. (2005). A Novel Diagnostic Method for Human Immunodeficiency Virus Type‐1 in Plasma by Near‐Infrared Spectroscopy. Microbiology and Immunology, 49(7), 695–701. (Link)
31. Tsenkova, R. N., Iordanova, I. K., Toyoda, K., & Brown, D. R. (2004). Prion protein fate governed by metal binding. Biochemical and Biophysical Research Communications, 325(3), 1005–1012. (Link)
30. Yuan, B., Murayama, K., Wu, Y., Tsenkova, R., Dou, X., Era, S., & Ozaki, Y. (2003). Temperature-Dependent Near-Infrared Spectra of Bovine Serum Albumin in Aqueous Solutions: Spectral Analysis by Principal Component Analysis and Evolving Factor Analysis. Applied Spectroscopy, 57(10), 1223–1229. (Link)
29. Jiang, J.-H., Tsenkova, R., Wu, Y., Yu, R.-Q., & Ozaki, Y. (2002). Principal discriminant variate method for classification of multicollinear data: Application to near infrared spectra of cow blood samples. Applied Spectroscopy, 56(4), 488–501. (Link)
28. Jiang, J.-H., Tsenkova, R., & Ozaki, Y. (2001). Principal Discriminant Variate Method for Classification of Multicollinear Data: Principle and Applications. Analytical Sciences, 17, 471–474. (Link)
27. Tsenkova, R., Atanassova, S., Ozaki, Y., Toyoda, K., & Itoh, K. (2001). Near-infrared spectroscopy for biomonitoring: Influence of somatic cell count on cow’s milk composition analysis. International Dairy Journal, 11(10), 779–783. (Link)
26. Tsenkova, R., Atanassova, S., & Toyoda, K. (2001). Near Infrared Spectroscopy for Diagnosis: Influence of Mammary Gland Inflammation on Cow’s Milk Composition Measurement. Near Infrared Analysis. Retrieved from (Link)
25. Tsenkova, R., Atanassova, S., Kawano, S., & Toyoda, K. (2001). Somatic cell count determination in cow’s milk by near-infrared spectroscopy: A new diagnostic tool. Journal of Animal Science, 79(10), 2550–2557. (Link)
24. Pravdova, V., Walczak, B., Massart, D. L., Kawano, S., Toyoda, K., & Tsenkova, R. (2001). Calibration of somatic cell count in milk based on near-infrared spectroscopy. Analytica Chimica Acta, 450(1–2), 131–141. (Link)
23. Toyoda, K., Tsenkova, R., & Nakamura, M. (2001). Characterization of osmotic dehydration and swelling of apple tissues by bioelectrical impedance spectroscopy. Drying Technology, 19(8), 1683–1695. Retrieved from (Link)
22. Murayama, K., Czarnik-Matusewicz, B., Wu, Y., Tsenkova, R., & Ozaki, Y. (2000). Comparison between conventional spectral analysis methods, chemometrics, and two-dimensional correlation spectroscopy in the analysis of near-infrared spectra of protein. Applied Spectroscopy, 54(7), 978–985. (Link)
21. Tsenkova, R., Atanassova, S., Itoh, K., Ozaki, Y., & Toyoda, K. (2000). Near infrared spectroscopy for biomonitoring : Cow milk composition measurement in a spectral region from 1 , 100 to 2 , 400 nanometers 1. Journal of Animal Science, 78(3), 515–522. (Link)
20. Murayama, K., Wang, Y., Tsenkova, R., & Ozaki, Y. (1999). Two-dimensional near-infrared correlation spectroscopy studies on protein denaturation. The Chemical Society of Japan, 10(10), 637–647. (Link)
19. Tsenkova, R., Atanassova, S., Toyoda, K., Ozaki, Y., Itoh, K., & Fearn, T. (1999). Near-Infrared Spectroscopy for Dairy Management: Measurement of Unhomogenized Milk Composition. Journal of Dairy Science, 82(11), 2344–2351. (Link)
18. Czarnik-Matusewicz, B., Murayama, K., Tsenkova, R., & Ozaki, Y. (1999). Analysis of near-infrared spectra of complicated biological fluids by two-dimensional correlation spectroscopy: Protein and fat concentration-dependent spectral changes of milk. Applied Spectroscopy, 53(12), 1582–1594. (Link)
17. Atanassova, S., Todorov, N., Djouvinov, D., Tsenkova, R., & Toyoda, K. (1998). The possibility of near infrared spectroscopy for evaluation of microbial nitrogen content of in sacco feed residues and duodenal digesta of sheep. Journal of Near Infrared Spectroscopy, 6(1–4), 167–174. (Link)
16. Markaryan, M., Tsenkova, R., Georgieva, R., Kunchev, D., Todorov, T., & Stoikov, D. (1998). Изпитване На Компютърна Програма За Диагностиране На Болестите При Птици. (Testing of a Computer Program for the Diagnosis of Bird Diseases.). Veterinary Collection, 8, 55–57.
15. Murayama, K., Yamada, K., Tsenkova, R., Wang, Y., & Ozaki, Y. (1998). Determination of human serum albumin and γ-globulin in a control serum solution by near-infrared spectroscopy and partial least squares regression. Fresenius’ Journal of Analytical Chemistry, 362(1), 155–161. (Link)
14. Wang, Y., Tsenkova, R., Amari, M., Terada, F., Hayashi, T., Abe, A., & Ozaki, Y. (1998). Potential of two-dimensional correlation spectroscopy in analyses of NIR spectra of biological fluids. Analysis Magazine, 26(4), 64–69. (Link)
13. Murayama, K., Yamada, K., Tsenkova, R., Wang, Y., & Ozaki, Y. (1998). Multivariate determination of human serum albumin and Γ-globulin in a phosphate buffer solution by near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 6(1), 375–381. (Link)
12. Wang, Y., Murayama, K., Myojo, Y., Tsenkova, R., Hayashi, N., & Ozaki, Y. (1998). Two-Dimensional Fourier Transform Near-Infrared Spectroscopy Study of Heat Denaturation of Ovalbumin in Aqueous Solutions. Journal of the American Chemistry Society, 102, 6655–6662. (Link)
11. Murayama, K., Yamada, K., Tsenkova, R., Wang, Y., & Ozaki, Y. (1998). Near-infrared spectra of serum albumin and γ-globulin and determination of their concentrations in phosphate buffer solutions by partial least squares regression. Vibrational Spectroscopy, 18(1), 33–40. (Link)
10. Tsenkova, R., Statev, E., Georgieva, R., & Topuzanov, D. (1990). A device for differential diagnosis of subclinical mastitis in cows. Selskostopanska Tekhnika, 27(7), 68–73 ref.6. Retrieved from (Link)
9. Tsenkova, R., Grigirov, T., & Baner, B. (1990). Изследване На Оптичната Плътност На Краве Мляко В Близката Инфрачервена Област За Оценка На Маслеността И Количеството Вода (Analysis of Milk Fat and Water Content by Near Infrared Spectroscopy). Farm Machinery, 27, 81–85.
8. Tsenkova, R., Statev, E., Georgieva, R., & Topuzanov, D. (1990). Уред За Диференциална Диагностика На Субклинични Мастити При Кравите (Device for Differential Diagnosis of Subclinical Mastitis in Cows). Farm Machinery, 27, 68–72.
7. Tsenkova, R., Grigorov, T., & Baner, B. (1990). Идентифициране На Оводнено Мляко С Оптични Методи В Близката Инфрачервена Област (Near Infrared Spectroscopy Identification of Milk Adulterated with Water). Farm Machinery, 27, 87–95.
6. Tsenkova, R. (1990). Многоканален Електроннооптичен Прибор За Изследване На Селскостопански Обекти (Multichannel Optoelectronical Device for Analysis of Agricultural Products). Farm Machinery, 27, 64–67.
5. Markaryan, M., Tsenkova, R., Georgieva, R., Kunchev, D., Todorov, T., & Stoikov, D. (1988). Създаване На Компютърна Програма За Диагностиране Болестите При Птичия Ембрион (Development of an Algorithm and Software for a Computer Diagnosis of Poultry Embrio). Veterinary Collection, 6, 58–59.
4. Markaryan, M., Tsenkova, R., & Georgieva, R. (1988). Бейсов Подход При Диагностиране Болестите На Птичия Ембрион С Помощта На Персонален Компютър (Bias Classifier for Diagnosis of the Disease in Poultry Embrio). Veterinary Collection, 5, 11–12.
3. Tsonev, R., & Tsenkova, R. (1986). Възможности За Използване На Оптически Методи За Окачествяване На Селскостопанска Продукция (Survey on Optical Methods for Quality Control of Agricultural Products). Farm Machinery, 23, 96–99.
2. Kirilin, N., & Tsenkova, R. (1985). Определение Субклинического Мастита У Коров Путем Ик-Спектроскопии (Near Infrared Spectroscopy for Diagnosis of Cow’s Mastitis). Mechanizatsiya I Electrifikatsiya Sel’skogo Khozyastva, 2, 59–60.
1. Tsenkova, R., Gruev, P., & Ioncheva, N. (1983). Изследване На Спектралните Характеристики На Коефициента На Пропускане На Мляко От Крава В Ултравиолетовата И Видимата Област На Спектъра (Milk Analysis by Ultraviolet and Visible Spectroscopy). Food Industry, 20, 13–17.
Reviews and Other Writings
22. Tsenkova, R. (2016). Aquaphotomics tenth anniversary. NIR News, 27(1), 45. (Link)
21. Kinoshita, K., & Tsenkova, R. (2015). Near infrared spectra of body fluids reveal the relationship between water spectral pattern and the oestrous cycle. NIR News, 26(5), 4–5. (Link)
20. Tsenkova, R. (2012). Sensors in Dairy. Techno Innovation, 30–35.
19. Gowen, A. A., Stark, E. W., Tsuchisakaa, Y., & Tsenkovaa, R. (2011). Extended multiplicative signal correction as a tool for aquaphotomics. NIRNews, 22(7), 9–11. (Link)
18. Tsenkova, R. (2010). Aquaphotomics workshop at Chambersburg 2010. NIR News, 21(5), 3. (Link)
17. Tsenkova, R. (2010). Aquaphotomics: Water in the biological and aqueous world scrutinised with invisible light. Spectroscopy Europe, 22(6), 6–10. Retrieved from (Link)
16. Tsenkova, R. (2009). Aquaphotomics workshop at 2008 IDRC in Chambersburg. NIR News, 20(6), 5. (Link)
15. Tsenkova, R. (2008). Aquaphotomics: the extended water mirror effect explains why small concentrations of protein in solution can be measured with near infrared light. NIR News, 19(4), 13–14. (Link)
14. Tsenkova, R. (2008). Aquaphotomics: acquiring spectra of various biological fluids of the same organism reveals the importance of water matrix absorbance coordinates and the aquaphotome for understanding biological phenomena. NIR News, 19(1), 13. (Link)
13. Tsenkova, R. (2007). Aquaphotomics: extended water mirror approach reveals peculiarities of prion protein alloforms. NIR News, 18(1), 14–17. (Link)
12. Tsenkova, R. (2007). AquaPhotomics: water absorbance pattern as a biological marker for disease diagnosis and disease understanding. NIR News, 18(2), 14–16. (Link)
11. Tsenkova, R. (2006). Aquaphotomics: exploring water-light interactions for a better understanding of the biological world. Part 1 : Good yogurt comes from good milk. NIR News, 17(4), 10–11. (Link)
10. Tsenkova, R. (2006). Aquaphotomics: exploring water-light interactions for a better understanding of the biological world. Part 2: Japanese food, language… and why NIR for diagnosis? NIR News, 17(5), 8–14. (Link)
9. Tsenkova, R. (2006). Aquaphotomics and Chambersburg. NIR News, 17(6), 12. (Link)
8. Tsenkova, R. (2006). AquaPhotomics: water absorbance pattern as a biological marker. NIR News, 17(7), 13–23. (Link)
7. 伊藤和彦, 中野和弘, 豊田淨彦, Tsenkova, R., 守田和夫, 田中史彦, & 北村豊. (2005). 食料の生産・流通・加工空間における安全性評価・確保システムの構築. 平成14 年度～16 年度科学研究費補助金・基盤研究(A)研究報告書.
6. 時田正彦, 森田茂, 小宮道士, Tsenkova, R., 畠山尚史, 堂腰顕, & 喜田環樹. (2005). Report of “Automatic Milking : a better understanding.” Japanese Journal of Livestock Management (Vol. 40). (Link)
5. Jiang, J.-H., Tsenkova, R., & Ozaki, Y. (2002). Principal discriminant variate (PDV) method for classification of multicollinear data: application to diagnosis of mastitic cows using near infrared spectra of blood samples. NIR News, 13(6), 5–8. (Link)
4. 喜田環樹, 森田茂, 小宮道士, 泉賢一, Tsenkova, R., & 八谷満. (2002). Report of “The First North American Conference On Robotic Milking.” Japanese Journal of Livestock Management (Vol. 38). (Link)
3. 八谷満, 森田茂, Tsenkova, R., 天羽弘一, 喜田環樹, & 堂腰顕. (2001). Report of “Robotic Milking.” Japanese Journal of Livestock Management (Vol. 36). (Link)
2. Tsenkova, R. (1998). Japanese Research Project on NIR for Bio-Monitoring in Dairy Production. NIR News, 9(4), 8–13. (Link)
1. Tsenkova, R. (1998). Near infrared spectroscopy: A uniform measuring technology for a sustainable dairy production system. Journal of Near Infrared Spectroscopy, 6(1–4), 45–51. (Link)
Proceedings of conferences
79. Putra, A., Vassileva, M., Santo, R., & Tsenkova, R. (2017). An efficient near infrared spectroscopy based on aquaphotomics technique for rapid determining the level of Cadmium in aqueous solution. In IOP Conference Series: Materials Science and Engineering (Vol. 210, p. 12014). Kuala Lumpur, Malaysia. (Link)
78. Tomobe, K., Iijima, T., Yamamoto, E., Kojić, D., Tsenkova, R., Yasui, M., & Yasuoka, K. (2016). Molecular dynamics study on the dynamics of water molecules in hydration shell of monosaccharides. In The Proceedings of the Thermal Engineering Conference 2016. (Link)
77. Matija, L., Muncan, J. S., Tsenkova, R., Mileusnic, I., & Koruga, D. (2015). Aquaphotomic Study of Hydrated Hydroxylated Fullerene Based On Skin Nanocream: Water Based Nanomedicine. In ITNANO2015 (p. 17). Milocer, Montenegro.
76. Cattaneo, T. M. P., Bazar, G., Gowen, A., Greppi, G. F., Mura, S., & Tsenkova, R. (2014). Aquaphotomics approach as innovative tool for monitoring water-biosystems. In XII Convegno AISSA (pp. 17–20).
75. Cattaneo, T. M. P., Tsenkova, R., Rizzolo, A., & Barzaghi, S. (2014). Aquaphotomics as a tool in understanding the storage behaviour in “Salame Piacentino.” In SciX 2014 (p. 188).
74. Chatani, E., Tsuchisaka, Y., Masuda, Y., & Tsenkova, R. (2014). Near Infrared Spectral Monitoring Reveals Water Molecular System Dynamics During The Amyloidogenic Nucleation. In The 28th Annual Symposium of The Protein Society: Program & Abstracts. Protein Science, 23 (p. 87). San Diego, USA. (Link)
73. Bazar, G., Kovacs, Z., Tanaka, M., & Tsenkova, R. (2014). Aquaphotomics and its extended water mirror concept explain why NIRS can measure low concentration aqueous solutions. In 4th Asian NIR Symposium.
72. Kovacs, Z., Ohmido, N., Bázár, G., & Tsenkova, R. (2014). Monitoring of the development of somatic and callus rice cells using aquaphotomics. In 73th Annual Meeting of the Japan Society of Agricultural Machinery and Food Engineers (p. 267).
71. Masuda, Y., Tsuchisaka, Y., Tsenkova, R., & Chatani, E. (2013). Exploring roles of water molecules on amyloid fibrillation by salt effects and Near Infrared spectroscopy. In The Biophysical Society of Japan (p. S223). (Link)
70. Remagni, M. C., Morita, H., Koshiba, H., Cattaneo, T. M. P., & Tsenkova, R. (2013). Near Infrared Spectroscopy And Aquaphotomics As Tools For Bacterial Classification. In E. Bellon-Maurel V., Williams P., Downey G. (Ed.), NIR2013, Proceedings, 2-7 June, La Grande-Motte, France (Vol. 1, pp. 602–608). La Grande Motte, France: IRSTEA – France Institut National de recherche en sciences et technologies pour l’environnement et l’agriculture.
69. Tsenkova, R. (2013). Aquaphotomics: New frontiers. In E. Bellon-Maurel V., Williams P., Downey G. (Ed.), NIR2013, Proceedings, 2-7 June, La Grande-Motte, France (pp. 612–614). La Grande Motte, France: IRSTEA – France Institut National de recherche en sciences et technologies pour l’environnement et l’agriculture.
68. Tsenkova, R. (2013). Aquaphotomics for weak signals quantification in water. In Water Conference 2013.
67. Meilina, H., Putra, A., & Tsenkova, R. (2011). Frequency of use minute concentrations of cadmium in aqueous solution by near infrared spectroscopy and aquaphotomics. In Proceedings of The Annual International Conference Syiah Kuala University 2011 (Vol. 1, pp. 209–216).
66. Putra, A., Meilina, H., & Tsenkova, R. (2011). Simultaneous Determination Of Magnesium ( Mg ) And Manganese ( Mn ) In Aqueous Solution By Near Infrared Spectroscopy As A Novel And Rapid Approach. In Prosiding Seminar Nasional Dalam Rangka Menyambut Hari Lingkungan Hidup Sedunia Tahun (pp. 313–321).
65. Gowen, A. A., Tsenkova, R., & Donnell, C. P. O. (2011). Near infrared hyperspectral transflectance imaging of thin layer water samples. In Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing (pp. 0–3). (Link)
64. Matija, L., & Tsenkova, R. (2011). Aquaphotomics of hydrogenated fullerenes. In The Second Scientific International Conference Water and Nanomedicine, Banjaluka, August 30, 2011 (p. 30). BanjaLuka, Republic of Srpska.
63. Tsenkova, R. (2011). Aquaphotomics for diagnosis. In The Second Scientific International Conference Water and Nanomedicine, Banjaluka, August 30, 2011 (p. 16). BanjaLuka, Republic of Srpska.
62. Veleva-Doneva, P., Draganova, T., Atanassova, S., & Tsenkova, R. (2010). Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods – SIMCA and Neuro – Fuzzy classifier. In IFAC Proceedings Volumes (Vol. 43, pp. 225–229). Japan. (Link)
61. Atanassova, S., Panayotov, M., Santo, R., Kuroki, S., & Tsenkova, R. (2010). Possibilities of near-infrared spectroscopy for nondestructive determination of some technological properties of Bombyx mori L. cocoons. In Proceedings of the 14th International Conference on NIR Spectroscopy (pp. 59–62). Bangkok, Thailand.
60. Jinendra, B. M., Kuroki, S., & Tsenkova, R. (2010). Monitoring of second overtone of water absorbance bands reveals hypersensitivity response from virus infected plants. In Proceedings of the 14th International Conference on Near Infrared Spectroscopy (pp. 53–58). Bangkok, Thailand.
59. Kinoshita, K., Morita, H., Miyazaki, M., Hama, N., Ishikawa, O., Kusunoki, H., & Tsenkova, R. (2010). Near-infrared spectroscopy to monitor the timing of ovulation in Giant Panda (Ailuropoda melanoleuca) based on urinary steroid hormones. In Proceedings of the 14th International Conference on Near Infrared Spectroscopy (pp. 639–644). Bangkok, Thailand.
58. Putra, A., Santo, R., Kuroki, S., & Tsenkova, R. (2010). Robust spectral model for low metal concentration measurement in aqueous solution reveals the importance of water absorbance bands. In Proceedings of the 14th International Conference on Near Infrared Spectroscopy (pp. 831–835). Bangkok, Thailand.
57. Atanassova, S., Daskalov, H., Stoyanchev, T., Santo, R., Kuroki, S., & Tsenkova, R. (2009). Application of near-infrared spectroscopy for detection of bacterial contamination in food. In Proceedings of the 14th International Conference on NIR Spectroscopy (pp. 595–599). Bangkok, Thailand.
56. Atanassova, S., Tsenkova, R., Vasu, R. M., Koleva, M., & Dimitrov, M. (2009). Identification of mastitis pathogens in raw milk by near infrared spectroscopy and SIMCA classification method. In Proceedings of Food Science, Engineering and Technologies (Vol. 56, pp. 567–572). Scientific Works of the University of Food Technologies – Plovdiv, Bulgaria.
55. Draganova, Ts. D., Jinendra, B. M., Daskalov, P. I., Tzonev, R., Atanasova, S., Tsenkova, R. (2009). Statistical methods for Fusarium verticillioides diseased corn kernel recognition using near-infrared spectroscopy. In C. Vezirov (Ed.), Proceedings of The Union of Scientists- Rousse Fourth Conference Energy Efficiency and Agricultural Engineering (pp. 839–847). Rousse, Bulgaria: ISSN 1311-9974.
54. Miyazaki, M., Kuroki, S., Ikuta, K., & Tsenkova, R. (2009). Diagnosis of physiological abnormalities using adaptive milk spectral model of individual cows. In Proceedings of the 14th International Conference on Near Infrared Spectroscopy (pp. 645–649). Bangkok, Thailand.
53. Kuroki, S., Djilianov, D., Santo, R., Morita, H., & Tsenkova, R. (2009). IR monitoring of water status in the resurrection plant Haberlea rhodopensis during desiccation and subsequent rehydration processes. In Proceedings of the 14th International Conference on NIR Spectroscopy (pp. 65–69). Bangkok, Thailand.
52. Kuroki, S., Djilianov, D., Santo, R., & Tsenkova, R. (2009). Spectroscopic observation for desiccation and subsequent rehydration processes in leaves of resurrection plant. In Proceedings of The Union of Scientists- Rousse Fourth Conference Energy Efficiency and Agricultural Engineering (pp. 811–814). Rousse, Bulgaria: C. Vezirov.
51. Todorova, M., Atanassova, S., Santo, R., Tsenkova, R., & Llieva, R. (2009). Rapid prediction of available P content in soil using near-infrared spectroscopy. In Proceedings of The Union of Scientists- Rousse Fourth Conference Energy Efficiency and Agricultural Engineering (pp. 204–210). Rousse, Bulgaria: C. Vezirov.
50. Tsenkova, R. (2007). Aquaphotomics: Application of NIR perturbation Spectroscopy for better understanding of water and biology. ICNIRS, Vaasa, Finland, 16 June 2007. Workshop 7. Aquaphotomics 13.
49. Tsenkova, R. (2006). Light upon the Waters in Action: NIR Perturbation Spectroscopy Reveals Peculiarities of Biological Systems. In The Tomas Hirschfeld Award Lecture (p. 95).
48. Tsenkova, R. (2005). Visible – Near Infrared Perturbation Spectroscopy: Water in Action Seen as Great Source of Information. In G. R. Burling-Claridge, S. E. Holroyd, & R. M. W. Sumner. (Eds.), 12th International Conference on Near Infrared Spectroscopy (pp. 607–612). Auckland, New Zealand.
47. Tei, K., Shinzawa, H., Sulieman, A. M. E. H., Kojima, K., Toyoda, K., & Tsenkova, R. (2005). Real-time monitoring of yogurt fermentation process by Near-infrared spectroscopy. In G.R. Burling-Claridge, S. E. Holroyd, & R. M. W. Sumner. (Eds.), 12th International Conference on Near Infrared Spectroscopy (pp. 531–536). Auckland, New Zealand.
46. Kojima, K., Hayashi, S., Osawa, R., Toyoda, K., & Tsenkova, R. (2004). Qualitative Analysis for Identification of Staphylococcus Bacteria by Near Infrared Spectroscopy. In ISMAB2004 (pp. 117–120). Kobe, Japan.
45. Shinzawa Morita, H., Toyoda, K., Tsenkova, R., H. (2004). Diagnosis of Cows Mastitis by Moving Principal Component Analysis (MPCA) Using Near Infrared (NIR) Udder Tissue Spectra. In ISMAB2004 (pp. 121–124). Kobe, Japan.
44. Toyoda, K., Ogawa, M., & Tsenkova, R. (2004). Non-destructive imaging of electrical resistivity profile of food products for safety and quality evaluation by electrical impedance tomography. In ISMAB2004 (pp. 113–116). Kobe, Japan.
43. 森田博之, 新澤英之, 豊田浄彦, Tsenkova, R., & Hillerton, J. E. (2004). 近赤外乳房スペクトルによる乳牛の診断. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 66, 325–326. (Link)
42. 小野塚泰祐, 楠本総一郎, 磯村隆士, & Tsenkova, R. (2004). 近赤外スペク トルによるマヨネーズの成分及び物理的性質のオンライン分析. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 66, 185–186. (Link)
41. Manabu, O., Kiyohiko, T., & Tsenkova, R. (2004). Detection of foreign materials by electrical impedance tomography. In ICEB XII International Conference on Electrical Bio-Impedance joint with EIT – V Electrical Impedance Tomography (pp. 719–722). Gdansk, Poland.
40. Tsenkova, R. (2004). Health monitoring of milking cows by near infrared spectroscopy. In Proceedings of the Japan Thai Joint Symposium Nondestructive Evaluation Technology (pp. 41–46). Bangkok, Thailand.
39. Onozuka, T., Isomura, T., Kusumoto, S., & Tsenkova, R. (2004). Analysis of mayonnaise chemical component and viscosity with near-infrared spectroscopy. In Proceedings of the Japan Thai Joint Symposium Nondestructive Evaluation Technology (pp. 278–279). Bangkok, Thailand.
38. Goto, M., Nakagawa, S., Ashida, H., Kanazawa, K., & Tsenkova, R. (2004). Evaluation of oxidative stress with near-infrared spectroscopy. In Proceedings of the Japan Thai Joint Symposium Nondestructive Evaluation Technology (pp. 234–235). Bangkok, Thailand.
37. Morita, H., Shinzawa, H., Ikuta, K., & Tsenkova, R. (2004). Identification of CNS Mastitic udder quarters using Near Infrared udder tissue spectra and SIMCA classificatory. In ISMAB2004 (pp. 125–129). Kobe, Japan.
36. Toyoda, K., Tsenkova, R., Yoshida, K., & Mittal, G. (2003). Monitoring of Bread Dough Fermentation Process by Electrical Impedance Spectroscopy. In The 12th World Food Congress.
35. Atanassova, S., Iancheva, N., & Tsenkova, R. (2002). Near infrared spectroscopy for measuring purine derivatives in urine and estimation of microbial nitrogen synthesis in the rumen for sheep. In A. M. C. Davies & R. K. Cho (Eds.), Near Infrared Spectroscopy, Proceedings of the 10th International Conference (pp. 409–413). Kyongju, Korea.
34. Tsenkova, R. (2002). Disease diagnosed and described by near infrared spectroscopy. In A. M. C. Davies & R. K. Cho (Eds.), Near Infrared Spectroscopy: Proceedings of the 10th International Conference (pp. 65–69). Kyongju, Korea: ISBN 0952866633, 9780952866633.
33. Jiang, J. H., Tsenkova, R., Yu, R. Q., & Ozaki, Y. (2002). A new regularized discriminant analysis; Principal discriminant variate method for handling multicollinear data. In A. M. C. Davies & R. K. Cho (Eds.), Near Infrared Spectroscopy, Proceedings of the 10th International Conference (pp. 103–106). Kyongju, Korea.
32. Tsenkova, R., & Atanassova, S. (2002). Mastitis diagnostics by near infrared spectra of cow’s milk, blood and urine using soft independent modelling of class analogy classification. In A. M. C. Davies & R. K. Cho (Eds.), Near Infrared Spectroscopy, Proceedings of the 10th International Conference (pp. 123–128). Kyongju, Korea.
31. Tsenkova, R., & Toyoda, K. (2001). Artificial Inteligence in Dairy Farming : Near Infrared Approach. In 3rd IFAC/CIGR Workshop on Control Applications in Post-Harvest and Processing Technology (Vol. 34, pp. 167–172). Elsevier. (Link)
30. Tsenkova, R. (2001). Near Infrared Spectroscopy for Dairy Precision Farming. In ASAE Annual international meeting (pp. 1–10). Sacramento, CA. (Link)
29. Tsenkova, Roumiana Atanassova, S. (2001). Mastitis Diagnostics by Near-infrared Spectra of Cows milk, Blood and Urine Using SIMCA Classification. In Proceedings of the Korean Society of Near Infrared Spectroscopy Conference NIR-2001 (pp. 1247–1247).
28. Toyoda, K., Tsenkova, R., & Nakamura, M. (2001). Visualization of internal structure of foods by electrical impedance tomography – Detection of foreign material contamination and voids. In IFAC Proceedings Volumes (Vol. 34, pp. 77–81). Tokyo, Japan. (Link)
27. Tsenkova, R., Murayama, K., Kawano, S., Wu, Y. uqing., Toyoda, K., & Ozaki, Y. (2000). Near infrared spectroscopy for mastitis diagnosis: Two-dimensional correlation study in short wavelength region. In American Intitute of Physics (Ed.), Two-Dimensional Correlation Spectroscopy (Vol. 503, pp. 307–311). Kobe-Sanda, Japan: AIP proceedings. (Link)
26. Tsenkova, R., Atanassova, S., Ozaki, Y., Itoh, K., & Toyoda, K. (2000). Near infrared spectroscopy for cow milk composition analysis: the influence of mastitis. In Near Infrared Spectroscopy: Proceedings of the 9th International Conference (pp. 735–739). Verona, Italy.
25. Murayama, K., Czarnik-Matusewicz, B., Wu, Y., Tsenkova, R., & Ozaki, Y. (2000). Chemometrics and two-dimensional correlation spectroscopy in the analysis of near-infrared spectra of protein. In AIP Conference Proceedings (Vol. 503, pp. 183–196). American Institute of Physics. (Link)
24. Czarnik-Matusewicz, B., Murayama, K., Tsenkova, R., & Ozaki, Y. (2000). Comparison of two-dimensional correlation analysis and chemometrics in near infrared spectroscopy: protein and fat concentration-dependent spectral changes of milk. In Near Infrared Spectroscopy: Proceedings of the 9th International Conference (pp. 17–23). Verona, Italy: A. M. C. Davis and R. Giangiacomo (eds.) NIR Publication.
23. Murayama, K., Czarnik-Matusewicz, B., Wu, Y., Tsenkova, R., & Ozaki, Y. (2000). A study of the unfolding process of human serum albumin in the acidic pH region by two-dimensional infrared correlation spectroscopy. In AIP Conference Proceedings (Vol. 503, pp. 283–286). American Institute of Physics. (Link)
22. Atanassova, S., Iancheva, N., Todorov, N., Pavlov, D., & Tsenkova, R. (2000). Near infrared Spectroscopy for Measuring Dry Matter Degradability of Forages. In Proceedings of the 9th International Conference on Near Infrared Spectroscopy (pp. 637–642). Verona, Italy.
21. Tsenkova, R. (2000). Qualitative and quantitative approach for near infrared mastitis diagnosis using bulk milk from individual cows. In Pacific Congress on Milk Quality and Mastitis Control (pp. 155–161). Nagano, Japan.
20. Toyoda, K., Tsenkova, R., & Nakamura., M. (2000). Nondestructive monitoring method of osmotic dehydration process of fruits by electrical impedance spectroscopy. In Proceedings of the XIV Memorial CIGR World Congress (pp. 818–823). Tsukuba, Japan.
19. Tsenkova, R., Terada, F., Kawano, K., Itoh, K., & K., T. (2000). Near infrared spectroscopy AI approach for dairy management. In K. Amaha and K. Ichito (Ed.), Proceedings of the 2nd Dutch-Japanese Workshop on Precision Dairy Farming (pp. 77–79). National Grassland Research Institute.
18. Tsenkova, R., Murayama, S., Kawamura, K., Itoh, K., and Toyoda, K. (2000). Near infrared mastitis diagnosis in the process of milking. In H. H. and A. Meijering (Ed.), Robotic Milking. Netherlands: Wageningen Press.
17. Toyoda, K., Tsenkova, R., & Tamoto., H. (2000). Microbial analysis for the implementation of Haccp System into leaf-vegetable production in plant factory. In Proceedings of the XIV Memorial CIGR World Congress (pp. 1347–1352). Tsukuba, Japan.
16. Suroso, R., Tsenkova, R., & Murase, H. (1999). Optimization of Cow Feeding Management by a Neural Network Based on Near Infrared Spectroscopy of Milk. In IFAC Proceedings Volumes (Vol. 32, pp. 5603–5606). Elsevier. (Link)
15. Tsenkova, R., Atanassova, S., Toyoda, K., Ozaki, Y., & Itoh, K. (1999). Near Infrared Spectroscopy for Biomonitoring: Influence of Mastitis on Cow Milk Composition Analysis. In JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY (Vol. 61, pp. 529–530). (Link)
14. Tsenkova, R., Fujita, Y., Atanassova, S., & Toyoda, K. (1999). Wavelet transform for near infrared spectral data mining: single spectrum mastitis diagnosis. In Near Infrared Spectroscopy, Proceedings of the 9th International Conference (pp. 323–330). Verona, Italy: ISBN 978-1-906715-21-2_ch55.
13. Tsenkova, R., Bakardjian, H., Fujita, Y., Atanassova, S., Ozaki, Y., & Toyoda, K. (1999). Wavelet Transform for NIR Spectral Data Mining : Bacteria Identification. In K. Itoh and M. Tasumi (eds.) (Ed.), Proceedings of the 12th International Conference on Fourier Transform Spectrocopy (pp. 489–490). Tokyo, Japan: Waseda University Press, Tokyo, Japan.
12. Tsenkova, R., Atanassova, S., Amari, M., Hayashi, T., Terada, F., & Toyoda, K. (1999). Interrelation between composition and near infrared spectra milk, blood plasma and rumen juice of lactating cows. In Near Infrared Spectroscopy: Proceedings of the 9th International Conference (pp. 729–734). Verona, Italy: A. M. C. Davis and R. Giangiacomo (eds.) NIR Publication.
11. Tsenkova, R., Atanassova, S., Toyoda, K., Itoh, K., & Ozaki, Y. (1998). Non-homogenized Cow Milk Analysis by Near Infrared Spectroscopy in the Short Wave Region. JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY, 60, 297–298. (Link)
10. Toyoda, K., & Tsenkova, R. (1998). Measurement of freezing process of agricultural products by impedance spectroscopy. In 2nd IFAC Workshop on Control Applications in Post-Harvest and Processing Technology (CAPPT’98) (Vol. 31, pp. 89–94). Budapest, Hungary: Elsevier. (Link)
9. Tsenkova, R. (1998). Near infrared spectroscopy for bio-monitoring in a dairy production system. In Proceedings of the Dutch-Japanese Workshop on Precision Dairy Farming (pp. 87–93). Wageningen, Netherlands: C. E. van’t Klooster and K. Amaha (eds) DLO-Institute of Agricultural and Environmental Engineering.
8. Atanasova, S., Tsenkova, R., & Toyoda, K. (1997). The possibility of near infrared spectroscopy for determination of chemical composition and quality of agricultural products in dairy. In The International Workshop on Application of Magnetic Resonance and Other Spectroscopic Techniques to Food Science (pp. 81–84). Harima, Japan.
7. Tsenkova, R. (1997). Exploring a new technology for biomonitoring as a means for sustainable food production. In The Second Kobe Symposium on Agriculture, Food and Environment in Asia, Towards the 21st Century (pp. 59–62). Kobe, Japan.
6. Tsenkova, R., Itoh, K., Matsuda, J., & Himoto, J. (1996). Near Infrared Spectroscopy (NIRS)-a Uniform Measuring Technology for the Dairy Farm. In JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY (Vol. 58, pp. 407–408). (Link)
5. Tsenkova, R. (1995). Near-Infrared Spectroscopy (NIRS)- a promising technology for dairy farm robotisation. In International Symposium on Automation and Robotics in Bioproduction and Processing (pp. 171–178). Kobe, Japan.
4. Tsenkova, R. (1995). Near Infrared (NIR) Spectroscopy for mastitis diagnosis. In the 11th National Symposium on Nondestructive Measurement (pp. 68–74). Tsukuba, Japan.
3. Tsenkova, R., Yordanov, K., Itoh, K., Shinde, Y., & Nishibu, J. (1994). NIR spectroscopy – a new technology for automated control on dairy farm. In The 7th World Congress on Agricultural Engineering (pp. 1120–1127). Milano, Italy.
2. Tsenkova, R., Yordanov, K., Itoh, K., Shinde, Y., & Nishibu, J. (1994). Near infrared spectroscopy of individual cow milk as a means for automated monitoring of udder health and milk quality. In Dairy Systems for the 21st Century: Proceedings of the Third International Dairy Housing Conference (pp. 82–91). Orlando, Florida: R. Bucklin (ed.) American Society of Agricultural Engineers.
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