نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی مکانیک بیوسیستم، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 بخش تحقیقات فنی و مهندسی کشاورزی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان اصفهان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اصفهان، ایران
3 گروه آموزشی رادیولوژی دهان، فک و صورت، دانشکده دندانپزشکی، دانشگاه علوم پزشکی اصفهان، ایران؛ عضو مرکز تحقیقات ایمپلنتهای دندانی، دانشکده دندانپزشکی، دانشگاه علوم پزشکی اصفهان، ایران
چکیده
سیب از جمله میوههایی است که برای مدت زمان نسبتاً طولانی در شرایط انبارداری نگهداری میشود. تغییرات فیزیولوژیکی ایجاد شده در محصول، موجب تغییر در خصوصیات کیفی میوه میگردد. از اینرو ارزیابیهای کیفی و انتخاب شرایط مناسب برای نگهداری، ضروری به نظر میرسد. در تحقیق حاضر، سیب رقم گلدن دلیشز در دو دمای انبار صفر و 4 درجه سلسیوس طی بازههای زمانی صفر، 45، 90 و 135روز انبار گردید و در پایان هر بازه، خصوصیات کیفی سیب شامل عدد سیتی، pH، سفتی، رطوبت، چگالی و مواد جامد محلول سیب اندازهگیری شد. بر اساس نتایج، مقدار متوسط عدد سیتی، pH، سفتی، رطوبت، چگالی و مواد جامد محلول سیب در دو دمای صفر و 4 درجه سلسیوس بهترتیب 115/02- و 166/86-، 3/85 و 3/86، 37/76 و 33/36 نیوتن، 82 و 80/60 درصد، 0/76 و 0/72 گرم بر سانتیمتر مکعب و 15/30 و 15/79 درصد بریکس بهدست آمد. نتایج نشان داد که عدد سیتی با میزان pH و مواد جامد محلول، همبستگی خطی منفی و با خواص سفتی سیب، رطوبت و چگالی میوه همبستگی خطی مثبت دارد. بر این اساس در دو دمای انبارداری صفر و 4 درجه سلسیوس، ضرایب تبیین (R2) بهدست آمده از مدل رگرسیون خطی، برای ارتباط عدد سیتی با میزان pH 0/75 و 0/55، سفتی سیب 0/32 و 0/57، رطوبت 0/78 و 0/85، چگالی میوه 0/82 و 0/84 و مواد جامد محلول 0/85 و 0/62 بهدست آمد. این نتایج نشان میدهد که با تقریب مناسبی میتوان از آزمون غیر مخرب تصویربرداری اشعه ایکس در تعیین برخی خواص کیفی محصول سیب استفاده کرد.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Investigating the Qualitative Changes of Golden Delicious Apple Variety during Storage Using X-ray Imaging
نویسندگان [English]
- Behshad Tahani 1
- Babak Beheshti 1
- Mohsen Heidarisoltanabadi 2
- Ehsan Hekmatian 3
1 Biosystems Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Agricultural Engineering Research Department, Isfahan Agricultural and Natural Resources Research and Education Center, AREEO, Isfahan, Iran
3 Department of Oral and Maxillofacial Radiology Department, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran; Member of Dental Implants Research Center, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran
چکیده [English]
Introduction
Isfahan province is considered to be one of the top ten producing provinces of apple orchards with an area of 17,274 hectares and a production of 120,000 tons of apple. Determining the quality parameters of agricultural products requires the use of various methods, which are different according to the nature and characteristics of each product. The two main categories for dividing these methods include analytical (objective) methods and sensory (intrinsic) methods. Both qualitative assessment methods can be used in destructive and non-destructive ways. Apple is one of the fruits that can be stored for a relatively long time. Physiological changes during the storage period are inevitable and cause change to some quality characteristics of the fruit, such as firmness, moisture content, density, pH, and soluble solids. Using the methods of determining and extracting the quality characteristics of fruit during storage and monitoring the changes created, provides a suitable criterion for selecting and preparing the necessary conditions for storage and storage at the disposal of users and producers. X-ray imaging technique is among the methods used and computed tomography, which is now well-known in evaluation of various agricultural commodities and food quality. X-rays are electromagnetic waves with a short wavelength (0.01 to 10 nm) and high energy (from 120 electron volts to 120 kilo electron volts) that can penetrate many materials.
Materials and Methods
In order to determine the relationship between the physicochemical properties and the CT number of Golden Delicious apples, 280 Golden Delicious apples were collected from an orchard located in Semirom city of Isfahan province and stored in a cold room at 0 and 4 ºC and a humidity of 85±5%. These apples were harvested and collected from several trees after the fruit ripened completely. The weight and volume of apples were randomly selected based on the apples on the trees. The samples of stored apples were examined in 4 stages and based on the duration of storage on zero (the beginning of storage), 45, 90 and 135 days.. These tests included non-destructive tests of CT scan imaging and destructive tests to extract the physicochemical properties of apples, including CT number, pH, firmness, moisture, density, and soluble solids. In order to prepare CT scan images of apple samples (non-destructive X-ray test), a GE Healthcare multi-slice CT scan machine model 5122080-12 with 80 kV and 10 mA was used in the CT scan center of Al-Zahra Hospital in Isfahan. Moisture content was determined by weighing the samples and recording their moisture changes before and after drying in the oven at 105 ºC s for 24 hours. Total soluble solids were measured by refractometer device and reported as Brix degree. In order to measure the density of fruits, the weight and volume of each fruit was recorded. A digital pH meter was used to measure the pH of fruit. Penetrometer device was used to measure the firmness of apples. At the end, with the specified values, Pearson correlation coefficients between CT number and other physicochemical properties were determined. Also, by plotting the mentioned values, the most suitable regression equations with the highest coefficients of determination were obtained.
Results and Discussion
Based on the results, the average value of CT number, pH, firmness, moisture, density and total soluble solid of apple at two temperatures of zero and 4 ºC were -115.02 and -166.86, 3.85 and 3.86, 76 37.36 and 33.36 N, 0.82 and 0.80%, 0.76 and 0.72 g/cm3 and 15.30 and 15.79% Brix, respectively. The results showed that the CT number has a negative linear correlation with pH and total soluble solid and a positive linear correlation with the properties of apple firmness, moisture and fruit density. Based on the results, at two storage temperatures of 0 and 4 ºC, the coefficients of determination (R2) obtained from the linear regression model of CT number with pH levels of 0.75 and 0.55, apple firmness 0.32 and 0.57, moisture content 0.78 and 0.85, fruit density 0.82 and 0.84 and total soluble solid 0.85 and 0.62 were obtained.
Conclusion
These results shown that the non-destructive test of X-ray imaging can be used with a suitable approximation to determine some quality properties of apple products.
کلیدواژهها [English]
- Apple
- CT number
- Physicochemical properties
- Storage
- X-ray
©2024 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0). |
- Al- Obeed, R.S., & Harhash, M.M. (2006). Impact of postharvest treatments on storage life and quality of "Mixican" Lime. Journal of Advanced Agricultural Technologies, 11(3), 533-549.
- (2004). Fruits and vegetable products – determination of soluble solids content–refractometric method. International Standard 217.
- (2023). Agricultural statistics. The third volume: Report on garden, mushroom and greenhouse products. Ministry of Agricultural Jihad, Center for Statistics, Information and Communication Technology.
- AOAC .(1999). Official Methods of Analysis. 16th Edition, 5th Revision, Association of Official Analytical Chemists, Washington DC.
- (2005). Association of Analytical Chemists. Method 923.03. In: Official Methods of Analysis, 21st Edition, AOAC International Publisher and Gaithersburg.
- Azadshahraki, F., & Kafashan, J. (2016). Quality indicators of garden products and their measurement methods. Agricultural Engineering Research Institute. Knowledge Network and Promotional Media Office. Publication of Agricultural Education. Iran. 24 p.
- Barcelon, E.G., Tojo, S., & Watanabe, K. (1999). X-ray computed tomography for internal quality evaluation of peaches. Journal of Agricultural Engineering Research, 73(4), 323-330. https://doi.org/10.1006/jaer.1999.0409
- Barcelon, E.G., Tojo, S., & Watanabe, K. (1999). X-ray absorption and some quality characteristics of mango fruit (Mangifera indica). Journal of Agricultural and Food Chemistry, 47(9), 3822-5. https://doi.org/10.1021/jf980690e
- Chigwaya, K., Karuppanapandian, T., Schoeman, L., Viljoen, D.W., Crouch, I.J., Nugraha, B., Verboven, P., Nicolaï, B.M., & Crouch, E.M. (2021). X-ray CT and porosity mapping to determine the effect of ‘Fuji’ apple morphological and microstructural properties on the incidence of CO2 induced internal browning. Postharvest Biology and Technology, 174, 111464. https://doi.org/10.1016/j.postharvbio.2021.111464
- Diels, E., Van Dael, M., Keresztes, J., Vanmaercke, S., Verboven, P., Nicolai, B., Saeys, W., Ramon, H., & Smeets, B. (2017). Assessment of bruise volumes in apples using X-ray computed tomography. Postharvest Biology and Technology, 128, 24-32. https://doi.org/10.1016/j.postharvbio.2017.01.013
- Hadian-Deljou, M., & Sarikhani, H. (2013). Effect of salicylic acid on maintaining post-harvest quality of apple cv. ،Golabe-Kohanz. Journal of Crops Improvement, 14(2), 71-82. https://doi.org/10.22059/jci.2013.29502
- Haseth, T.T., Egelandsdal, B., Bjerke, F., & Sorheim, O. (2007). Computed tomography for quantitative determination of sodium chloride in ground pork and dry cured hams. Journal of food science, 72(8), 420-427. https://doi.org/10.1111/j.1750-3841.2007.00492.x
- Jamshidi, B., Arefi, A., & Minaei, S. (2017). Non-destructive prediction of apple firmness during storage based on dynamic speckle patterns. Journal of Agricultural Machinery, 7(1), 140-151. https://doi.org/10.22067/jam.v7i1.49413
- Jarolmasjed, S., Espinoza, C.Z., Sankaran, S., & Khot, L.R. (2016). Postharvest bitter pit detection and progression evaluation in ‘Honeycrisp’ apples using computed tomography images. Postharvest Biology and Technology, 118, 35-42. https://doi.org/10.1016/j.postharvbio.2016.03.014
- Jingping, Z., Zheng, P., & Jian,W. (2003). Correlation between moisture of apples and values of CT[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 19(2), 180-182.
- Khan, B., Syed Zulfiqar, A., Shahzad, S., Basharat, M., Ali, J., Jabeen, Z., Waris, M., & Fahmid, S. (2017). Postharvest quality of apple (Malus domestica Borkh) as influenced by storage conditions. International Journal of Advanced Research in Biological Sciences, 4(7), 154-163. https://doi.org/10.22192/ijarbs.2017.04.07.019
- Kotwaliwale, N., Kalne, A., & Singh, K. (2012). Monitoring of mango (Mangifera indica L.) (Cv.: Chousa) ripening using X-ray computed tomography, 2012 Sixth International Conference on Sensing Technology (ICST), Kolkata, India, 2012, pp. 326-330. https://doi.org/10.1109/ICSensT.2012.6461696
- Kotwaliwale, N., Singh, K., Kalne, A., Jha, S.N., Seth, N., & Kar, A. (2014). X-ray imaging methods for internal quality evaluation of agricultural produce. Journal of Food Science and Technology, 51, 1-15. https://doi.org/10.1007/s13197-011-0485-y
- Mohammadpour, H., Selahvarzi, Y., Oraee, A., & Tehranifar, A. (2022). Evaluation of rootstock and scion interactions on apple storage characteristics (Malus domestica Borkh). Plant Process and Function, 11(48), 4.
- Mousavi, R., Miri, T., Cox, P.W., & Fryer, P. (2007). Imaging food freezing using X-ray microtomography. International Journal of Food Science and Technology, 42, 714-727. https://doi.org/10.1111/j.1365-2621.2007.01514.x
- Salmanizade, F., Nassiri, S., rahemi, M., & Jafari, A. (2013). Feasibility study of X-ray absorption application as a non-destructive method for determining some qualitative parameters of pomegranate fruit. Journal of Horticultural Science, 27(3), 335-341. https://doi.org/10.22067/jhorts4.v0i0.26391
- Vicent, V., Verboven, P., Ndoye, F.T., Alvarez, G., & Nicolaï, B. (2017). A new method developed to characterize the 3D microstructure of frozen apple using X-ray micro-CT. Journal of Food Engineering, 212, 154-164. https://doi.org/10.1016/j.jfoodeng.2017.05.028
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