نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مهندسی مکانیک بیوسیستم، دانشگاه شهرکرد، شهرکرد، ایران
چکیده
توسعه ابزارهای اندازهگیری سریع برای ارزیابی خصوصیات کیفی نیشکر شامل غلظت قند و محتوای رطوبت بدون نیاز به استخراج عصاره از ساقه از جمله ضرورتهای فناوری در کشاورزی و صنعت این محصول میباشد. در این پژوهش، یک پراب دیالکتریک با قابلیت توسعه و بهکارگیری به شکل قابلحمل توسعه داده شد و عملکرد آن برای اندازهگیری غلظت قند (بر حسب درجه بریکس) و محتوای رطوبت روی نمونههای ساقه از هفت رقم نیشکر در بازه فرکانسی MHz 150-0 مورد ارزیابی قرار گرفت. همچنین بهمنظور مقایسه و بهبود دقت اندازهگیری غلظت قند، توانایی روش طیفسنجی مرئی- فروسرخ نزدیک موج کوتاه (Vis-SWNIR) در محدوده طول موج 1100-400 نانومتر بررسی شد. از مدلهای رگرسیون حداقل مربعات جزئی (PLS) و شبکههای عصبی مصنوعی (ANN) برای پیشبینی درجه بریکس و محتوای رطوبت نمونهها استفاده شد. علاوهبر ارزیابی مستقل عملکرد هر دو روش در بهترین حالت با 1.14= RMSEP و 1.88= RMSEP برای اندازهگیری بریکس بهترتیب با روشهای طیفسنجی Vis-SWNIR و دیالکتریک، روشهای تلفیق داده (سطح پایین و سطح متوسط) برای استفاده از اثر همافزایی اطلاعات بهدستآمده از دو روش بهکار گرفته شد. در پیشبینی بریکس، بهترین نتیجه مربوط به روش تلفیق داده سطح پایین با 0.94 = R2p و 0.74=RMSEP بود. همچنین روش تلفیق داده سطح متوسط با 0.89 = R2p و 0.93= RMSEP بهترین نتیجه را در پیشگویی مقادیر محتوای رطوبت داشت. بنابراین، رویکرد تلفیق داده بهطور موثر دقت پیشبینی مدلهای توصیفکننده را بهبود بخشید و میتواند بهعنوان روش و ابزاری قابلاعتماد در اندازهگیری خصوصیات کیفی نیشکر مورد استفاده قرار گیرد.
کلیدواژهها
موضوعات
- Aldeza, C. G., Botella, M., Toldr, P., & Fito, P. (2010). Low frequency dielectric spectrum to determine pork meat quality. Innovative Food Science and Emerging Technologies, 11(2), 376-386. https://doi.org/10.1016/j.ifset.2010.01.011
- Anonymous. (2018). Agriculture– Iran– Statistics: Agriculture Agricultural census. 2016-2017, 1, 47-48. (in Persian).
- Augusto, P., & Filho, C. (2009). Rapid determination of sucrose in chocolate mass using near infrared Analytica Chimica Acta, 631, 206-211. https://doi.org/10.1016/J.ACA.2008.10.049
- Bahrami, M. E., Honarvar, M., Ansari, K., & Jamshidi, B. (2020). Measurement of quality parameters of sugarbeet juices using near-infrared spectroscopy and chemometrics. Journal of Food Engineering, 271, 109775. https://doi.org/10.1016/j.jfoodeng.2019.109775
- Bagherpour, H., Minaei, H., Abdollahian Noghabi, M., & Khorasani Fardvani, M. E. (2015). Non-destructive determination of sugar content in root beet by near infrared spectroscopy (NIRS). Food Science and Technology, 46(12), 219-228. (in Persian with English abstract).
- Biancolillo, A., Bucci, R., & Marini, F. (2014). Data-fusion for multiplatform characterization of an Italian craft beer aimed at its authentication. Analytica Chimica Acta, 820, 23-31. https://doi.org/10.1016/j.aca.2014.02.024
- Blakey, R. T., & Morales-Partera, A. M. (2016). Microwave dielectric spectroscopy– A versatile methodology for online, non-destructive food analysis, monitoring and process control. Engineering in Agriculture, Environment and Food, 9(3), 264-273. https://doi.org/10.1016/j.eaef.2016.02.001
- Bobelyn, E., Serban, A. S., Nicu, M., Lammertyn, J., Nicoli, B. M., & Saeys, W. (2010). Postharvest quality predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance. Postharvest Biology and Technology, 55(3), 133-143. https://doi.org/10.1016/j.postharvbio.2009.09.006
- Borras, E., Ferre, J., Boque, R., Mestres, M., Acena, L., & Busto, O. (2015). Data fusion methodologies for food and beverage authentication and quality assessment–A Review. Analytica Chimica Acta, 891(3), 1-14. https://doi.org/10.1016/j.aca.2015.04.042
- Castanedo, F. (2013). A Review of Data Fusion Techniques. Hindawi Publishing Corporation, 2013, 1-19.
- Chiatrakul, J., Terdwongworakul, A., Phuangsombut, K., & Phuangsombut, A. (2022). Improved evaluation of commercial cane sugar content in sugarcane stalk using near infrared hyperspectral imaging and stalk axis rotation technique. Biosystems Engineering, 223, 161-173. https://doi.org/10.1016/j.biosystemseng.2022.08.019
- Choi, J. H., Chen, P. A., Lee, B., & Yim, S. H. (2017). Portable, non-destructive tester integrating VIS/NIR reflectance spectroscopy for the detection of sugar content in Asian pears. Scientia Horticulturae, 220(16), 147-153. https://doi.org/10.1016/j.scienta.2017.03.050
- Cole, M. R., Eggleston, G., Gilbert, A., & Chung, Y. J. (2016). Development of an analytical method to measure insoluble and soluble starch in sugarcane and sweet sorghum products. Food Chemistry, 190, 50-59. https://doi.org/10.1016/j.foodchem.2015.05.049
- FAO. (2021). Food and Agricultural Organization of United Nations. Statistical Yearbook 2021. Rome. https://doi.org/10.4060,cb4477en
- Fazayeli, A., Kamgar, S., Nassiri, S. M., Fazayeli, H., & Guardia, M. D. L. (2019). Dielectric spectroscopy as a potential technique for prediction of kiwifruit quality indices during storage. Information Processing in Agriculture, 6(4), 479-486. https://doi.org/10.1016/j.inpa.2019.02.002
- Fu, X., Ying, Y., Lu, H., Xu, H., & Yu, H. (2007). FT-NIR diffuse reflectance spectroscopy for kiwifruit firmness detection. Sensing and Instrumentation for Food Quality and Safety, 1, 29-35. https://doi.org/10.1007/s11694-007-9004-2
- Gaci, ,Garcia, S. M., Abdelghafour, F., Adrian, J., Maupas, F., & Roger, J. M. (2022). Assessing the potential of a handheld visible-near infrared microspectrometer for sugar beet phenotyping. Journal of Near Infrared Spectroscopy, 30(3), 122-129. https://doi.org/10.1177/09670335221083448
- Garcia, A., Torres, J. L., De Blas, M., De Francisco, A., & Illanes, R. (2004). Dielectric characteristics of grape juice and wine. Journal of Biosystems Engineering, 88(3), 343-349. https://doi.org/10.1016/j.biosystemseng.2004.04.008
- Ghasemi-Varnamkhasti, M., Ghatreh-Samani, N., Naderi-Boldaji, M., Forina, M., & Bonyadian, M. (2017). Development of two dielectric sensors coupled with computational techniques for detecting milk adulteration. Computers and Electronics in Agriculture, 140, 266-278. https://doi.org/10.1016/j.compag.2017.06.005
- Goodarzi, N., Movahhed, S., Shakouri, M. J., & Ahmadi Chenarbon, H. (2022). Feasibility of Visible/Near Infrared (Vis/NIR) Spectroscopy capability in classification of lemon samples during storage period by PCA, LDA and SVM identification methods. Iranian Journal of Food Science and Technology, 18, 335-352. https://doi.org/10.52547/fsct.18.120.26
- Guo, W., Nelson, S. O., Trabelsi, S., & Kays, S. J. (2007). Dielectric properties of honeydew melons & correlation with quality. Microwave Power & Electromagnetic Energy, 41(2), 4454. https://doi.org/10.1080/08327823.2006.11688556
- Guo, W., Zhu, X., Liu, Y., & Zhuang, H. (2010). Sugar and water contents of honey with dielectric property sensing. Journal of Food Engineering, 97(2), 275-281. https://doi.org/10.1016/j.jfoodeng.2009.10.024
- Heise, H. M., & Winzen, R. (2006). Chemometrics in Near-Infrared Spectroscopy. In: Siesler, H. W., Ozaki, Y., Kawata, S. and Heise, H. M. (Eds.) Near-Infrared Spectroscopy: Principles, Instruments, Applications. 3rd Reprint. WileyVCH. Germany.
- Hoog, N. A., Olthuis, W., Mayer, M. J. J., Yntema, D., Miedema, H., & van den Berg, A. (2012). Online fingerprinting of fluids using coaxial stub resonator technology. Sensors and Actuators, B: Chemical, 163(1), 90-96. https://doi.org/10.1016/j.snb.2012.01.012
- Jamshidi, B., Minaei, S., Mohajerani, E., & Ghassemian, H. (2012). Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges. Computers and Electronics in Agriculture, 85, 64-69. https://doi.org/10.1016/j.compag.2012.03.008
- Jamshidi, B., Minaei, S., Mohajerani, E., & Ghassemian, H. (2014). Effect of spectral pre-processing methods on non-destructive quality assessment of oranges using NIRS. Journal of Agricultural Engineering Research, 167, 264-271. (in Persian with English abstract). https://doi.org/10.22092/JAER.2014.100188
- Korel, F., Luzuriaga, D., & Balaban, M. O. (2001). Objective quality assessment of raw tilapia (Oreochromis niloticus) fillets using electronic nose and machine vision. Journal of Food Science, 66(7), 1018-1024.
- Lal Mathur, R. B. (1990). Handbook of cane sugar technology. Oxford & Ibh Publishing Co. India. pp:11.
- Langford, V. S., McKinley, A. J., & Quickenden, T. I. (2001). Temperature Dependence of the Visible-Near-Infrared Absorption Spectrum of Liquid Water. Journal of Physical Chemistry A, 105, 8916-8921. https://doi.org/10.1021/jp010093m
- Luzuriaga, D. A. (1999). Application of computer vision and electronic nose technologies for quality assessment of color and odor of shrimp and salmon. PhD dissertation, Department of Food Science and Technology, University of Florida, Gainesville, FL.
- Magalhaes, P. S. G., & Cerri, D. G. P. (2007). Yield monitoring of sugar cane. Biosystems Engineering, 96(1), 1-6. https://doi.org/10.1016/j.biosystemseng.2006.10.002
- Magwaza, L. S., Opara, U. L., Terry, L. A., Landahl, S., Cronje, P. J. R., Nieuwoudt, H. H., Hanssens, A., Saeys, W., & Nicolaï, B. M. (2013). Evaluation of Fourier transform-NIR spectroscopy for integrated external and internal quality assessment of Valencia oranges. Journal of Food Composition and Analysis, 31(1), 144-154. https://doi.org/10.1016/j.jfca.2013.05.007
- Mehrotra, R., & Siesler, H. W. (2003). Application of mid infrared/near infrared spectroscopy in sugar industry. Applied Spectroscopy Reviews, 38(3), 307-354. https://doi.org/10.1081/ASR-120024392
- Mireei, S. A., Mohtasebi, S. S., Masoodi, R., Rafiei, S. H., & Arabanian, A. S. (2010). Application of FT-NIR spectroscopy in nondestructive maturity determination of Shahani date fruit. Iranian Journal of Biosystem Engineering, 41(2), 113-120. (in Persian with English abstract).
- Mireei, A., Bagheri, R., Sadeghi, M., & Shahraki, A. (2016). Developing an electronic portable device based on dielectric power spectroscopy for non-destructive prediction of date moisture content. Sensors and Actuators A: Physical, 247, 289-297. https://doi.org/10.1016/j.sna.2016.06.012
- Moomkesh, S., Mireei, S. A., Sadeghi, M., & Nazeri, M. (2017). Non-destructive prediction of quality parameters of sweet lemon (Citrus limetta) by Vis-SWNIR spectroscopy. Iranian Journal of Biosystems Engineering, 47(4), 603-613. (in Persian with English abstract). https://doi.org/10.22059/IJBSE.2017.61991
- Naderi-Boldaji, M., Fazelian-Dehkordi, M., Mireei, A., & Ghasemi-Varnamkhasti, M. (2015). Dielectric power spectroscopy as a potential technique for the non-destructive measurement of sugar concentration in Journal of Biosystems Engineering, 140, 1-10. https://doi.org/10.1016/j.biosystemseng.2015.09.003
- Naderi-Boldaji, M., Mishra, P., Ahmadpour-Samani, M., Ghasemi-Varnamkhasti, M., Ghanbarian, D., & Izadi, Z. (2018). Potential of two dielectric spectroscopy techniques and chemometric analyses for detection of adulteration in grape syrup. Measurement, 127, 518-524. https://doi.org/10.1016/j.measurement.2018.06.015
- Nawi, M. N., Chen, G., Jensen, T., & Mehdizadeh, S. A. (2013). Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared. Biosystems Engineering, 115(2), 151-161. https://doi.org/10.1016/j.biosystemseng.2013.03.005
- Nawi, N. M., Jensen, T., & Chen, G. (2012). The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning. Journal of American Society of Sugar Cane Technologists, 32, 16-27.
- Nelson, S. O. (2004). Agricultural applications of dielectric spectroscopy. Journal of Microwave Power and Electromagnetic Energy, 39(2), 75-85. https://doi.org/10.1080/08327823.2004.11688510
- Pan, L., Zhu, Q., Lu, R., & McGrath, J. M. (2015). Determination of sucrose content in sugar beet by portable visible and near-infrared spectroscopy. Journal of Agriculture and Food Chemistry, 167(15), 264-271. https://doi.org/10.1016/j.foodchem.2014.06.117
- Pandiselvam, R., Prithviraj, V., Manikantan, M. R., Kothakota, A., Rusu, A. V., Trif, M., & Khaneghah, M. (2022). Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review. Frontiers in Nutrition, 9, 973457. https://doi.org/10.3389/fnut.2022.973457
- Peirs, A., Lam mertyn, J., Ooms, K., & Nicolaı, B. M. (2001). Prediction of the optimal picking date of different apple cultivars by means of VIS: NIR-spectroscopy. Postharvest Biology and Technology, 21(2), 189-199. https://doi.org/10.1016/S0925-5214(00)00145-9
- Rudnitskaya, A., Kirsanov, D., Legin, A., Beullens, K., Lammertyn, J., & Nicolaï, B. M. (2006). Analysis of apples varieties– Comparison of electronic tongue with different analytical techniques. Sensors and Actuators B: Chemical, 116(1-2), 23-28. https://doi.org/10.1016/j.snb.2005.11.069
- Sanaeifar, A., Jafari, A., & Golmakani, M. T. (2018). Fusion of dielectric spectroscopy and computer vision for quality characterization of olive oil during storage. Computers and Electronics in Agriculture, 145, 142-152. https://doi.org/10.1016/j.compag.2017.12.035
- Sirisomboon, P. (2018). NIR spectroscopy for quality evaluation of fruits and vegetables. Materials Today: Proceedings, 5(10), 22481-22486. https://doi.org/10.1016/j.matpr.2018.06.619
- Skierucha, W., Wilczek, A., & Szypowska, A. (2012). Dielectric spectroscopy in agrophysics. International Agrophysics, 26, 187-197. https://doi.org/10.2478/v10247-012-0027-5
- Soltani, M., Alimardani, R., & Omid, M. (2011). Evaluating banana ripening status from measuring dielectric properties. Journal of Food Engineering, 105(4), 625-631. https://doi.org/10.1016/j.jfoodeng.2011.03.032
- Xiaobo, Z., Jiewen, Z., Xingyi, H., & Yanxiao, L. (2007). Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of 'Fuji' apple based on different PLS models. Chemometrics and Intelligent Laboratory Systems, 87(1), 43-51. https://doi.org/10.1016/j.chemolab.2006.09.003
ارسال نظر در مورد این مقاله