Study on drying characteristics and quality of orange peel

  • NIU Po ,
  • ZHANG Gen ,
  • WANG Pan ,
  • XIE Yingjie ,
  • LIU Enze ,
  • XIAO Wusong ,
  • YUE Ruixiao
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  • 1(School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing 404020, China)
    2(Sichuan Agricultural Machinery Science Research Institute, Chengdu 610066, China)
    3(Chongqing Agricultural Mechanization Technology Extension Station, Chongqing 404020, China)

Received date: 2023-05-04

  Revised date: 2023-06-30

  Online published: 2023-11-20

Abstract

Orange peel is a herb with high medicinal value. To increase the industrial added value of citrus and minimize the waste of orange peel, this paper used fresh orange peel as raw material, studied the effects of different drying temperatures (30, 50, 70, 90 ℃) and different drying methods (hot air drying, vacuum drying, far infrared drying) on their drying characteristics, used BP neural network to predict the moisture ratio, and used five commonly used drying mathematical models to non-linearly fit the experimental data. Results show that hot air drying at 90 ℃ required the shortest time, and it had the largest effective moisture diffusion coefficient and the lowest activation energy to dry orange peels to safe moisture content, while far infrared drying at 30 ℃ required the longest time, and it had the smallest effective moisture diffusion coefficient and the largest activation energy. The highest correlation coefficient R was found to be 0.999 99 when the number of nodes in the hidden layer was 7 and 9, and the lowest correlation coefficient R was 0.999 83 when the number of nodes in the hidden layer was 10, and the predicted value remained highly consistent with the test data. The Page model provided the best fit to the experimental data and was the best model to describe the drying of orange peel. The maximum rehydration ratio of hot air drying at 90 ℃ was 2.767. The hardness of orange peel dried by hot air at 90 ℃ was the highest, which was 291.5 N. The sensory evaluation score of hot air drying at 70 ℃ was the highest. This result provides theoretical value for dried products of orange peel.

Cite this article

NIU Po , ZHANG Gen , WANG Pan , XIE Yingjie , LIU Enze , XIAO Wusong , YUE Ruixiao . Study on drying characteristics and quality of orange peel[J]. Food and Fermentation Industries, 2023 , 49(20) : 205 -214 . DOI: 10.13995/j.cnki.11-1802/ts.036008

References

[1] 刘丹, 郭欢, 吴笛, 等. 柑橘黄酮类化合物的提取新技术及生物活性研究进展[J]. 食品与机械, 2022, 38(11):217-224.
LIU D, GUO H, WU D, et al. Research progress on new extraction technology and biological activity of citrus flavonoids[J]. Food & Machinery, 2022, 38(11): 217-224.
[2] XU M Y, TIAN G F, ZHAO C Y, et al. Infrared drying as a quick preparation method for dried tangerine peel[J]. International Journal of Analytical Chemistry, 2017, 2017: 1-11.
[3] 任文博. 柑橘内源活性成分(果胶、精油、黄酮)组装体系的构建与性能研究[D]. 北京: 中国农业科学院, 2020.
REN W B. Study on the construction and properties of the assembly system of endogenous active components (pectin, essential oil and flavonoids) in citrus[D]. Beijing: Chinese Academy of Agricultural Sciences, 2020.
[4] 张梁, 周杰, 朱蔚, 等. HPLC-DAD-ESI-MSn和GC-MS比较陈皮、橘皮和霉变橘皮中的化学成分[J]. 食品与发酵工业, 2013, 39(4):192-199.
ZHANG L, ZHOU J, ZHU W, et al. Comparative analysis on the chemical components of pericarpium citri reticulatae, citrus peels and fermented citrus peels with HPLC-DAD-ESI-MSn and GC-MS[J]. Food and Fermentation Industries, 2013, 39(4): 192-199.
[5] 徐明月, 郑金铠, 毕金峰, 等. 柑橘皮中短波红外干燥特性和品质研究[J]. 中国食品学报, 2017, 17(8):64-73.
XU M Y, ZHENG J K, BI J F, et al. Studies on the drying characteristics and qualities of citrus peels by medium-and short-wave infrared drying[J]. Journal of Chinese Institute of Food Science and Technology, 2017, 17(8): 64-73.
[6] CHEN M L, YANG D J, LIU S C. Effects of drying temperature on the flavonoid, phenolic acid and antioxidative capacities of the methanol extract of citrus fruit (Citrus sinensis (L.) Osbeck) peels[J]. International Journal of Food Science & Technology, 2011, 46(6): 1179-1185.
[7] 徐明月, 钟耀广, 毕金峰, 等. 干燥条件对橘皮颜色与结构性能的影响[J]. 现代食品科技, 2016, 32(8):197-203, 264.
XU M Y, ZHONG Y G, BI J F, et al. Effect of different drying conditions on color and texture of citrus peels[J]. Modern Food Science and Technology, 2016, 32(8):197-203; 264.
[8] 余祥英, 陈晓纯, 李玉婷, 等. 陈皮挥发油组成分析及其单体的抗氧化性研究[J]. 食品与发酵工业, 2021, 47(9): 245-252.
YU X Y, CHEN X C, LI Y T, et al. Chemical composition of volatile oil from Citri retriculatae pericarpium and its antioxidant activity analysis[J]. Food and Fermentation Industries, 2021, 47(9): 245-252.
[9] TASIRIN S M, PUSPASARI I, SAHALAN A Z, et al. Drying of Citrus sinensis peels in an inert fluidized bed: Kinetics, microbiological activity, vitamin C, and limonene determination[J]. Drying Technology, 2014, 32(5): 497-508.
[10] 邢颖, 王瑞芳, 邓随胜. 不同干燥方式对橘皮精油和黄酮的影响[J]. 食品工业科技, 2018, 39(6): 77-81; 96.
XING Y, WANG R F, DENG S S. Effects of different drying methods on essential oils and flavonoids from orange peels[J]. Science and Technology of Food Industry, 2018, 39(6): 77-81; 96.
[11] 徐晚秀. 食品热风微波耦合干燥及气味控制研究[D]. 无锡: 江南大学, 2018.
XU W X. Study on coupled drying of food with hot air and microwave and odor control[D].Wuxi: Jiangnan University, 2018.
[12] 赵洪雷, 孟德飞, 徐永霞, 等. 鲐鱼热风干燥动力学及品质变化研究[J]. 包装与食品机械, 2022, 40(6): 8-14.
ZHAO H L, MENG D F, XU Y X, et al. Study on drying kinetics and quality change of mackerel by hot air[J]. Packaging and Food Machinery, 2022, 40(6): 8-14.
[13] 刘玉, 王书贤, 袁一博, 等. 真空和热风干燥对猪肉干品质的影响[J]. 中国调味品, 2022, 47(8): 66-70.
LIU Y, WANG S X, YUAN Y B, et al. Effect of vacuum drying and hot air drying on the quality of dried pork[J]. China Condiment, 2022, 47(8): 66-70.
[14] 赵祥涛, 张正华, 张明学. 真空技术在农产品产业链中的应用与发展[J]. 农业工程技术(农产品加工业), 2010(5): 26-29.
ZHAO X T, ZHANG Z H, ZHANG M X. Application and development of vacuum technology in agricultural product industry chain[J]. Agriculture Engineering Technology (Agricultural Product Processing Industry), 2010(5): 26-29.
[15] 罗燕, 黄晓鹏, 李声元, 等. 预处理方式对枸杞子热风和远红外干燥下品质的影响[J]. 中国农业大学学报, 2021, 26(6): 159-169.
LUO Y, HUANG X P, LI S Y, et al. Effect of pretreatment methods on the quality of Lycium barbarum L. under hot-air drying and far-infrared drying[J]. Journal of China Agricultural University, 2021, 26(6): 159-169.
[16] YAO L Y, FAN L P, DUAN Z H. Effect of different pretreatments followed by hot-air and far-infrared drying on the bioactive compounds, physicochemical property and microstructure of mango slices[J]. Food Chemistry, 2020, 305(C): 125477.
[17] 朱凯阳, 任广跃, 段续, 等. 基于BP神经网络预测红外-喷动干燥带壳鲜花生水分比[J]. 食品科学, 2022, 43(11): 9-18.
ZHU K Y, REN G Y, DUAN X, et al. Backward propagation(BP) neural network-based prediction of moisture ratio of fresh In-shell peanut during infrared-assisted spouted bed drying[J]. Food Science, 2022, 43(11): 9-18.
[18] GHANEM N, MIHOUBI D, KECHAOU N, et al. Microwave dehydration of three citrus peel cultivars: Effect on water and oil retention capacities, color, shrinkage and total phenols content[J]. Industrial Crops and Products, 2012, 40: 167-177.
[19] PU Y Y, SUN D W. Combined hot-air and microwave-vacuum drying for improving drying uniformity of mango slices based on hyperspectral imaging visualisation of moisture content distribution[J]. Biosystems Engineering, 2017, 156: 108-119.
[20] 刘鹤, 田友, 焦俊华, 等. 甘薯切片热风干燥特性及模型研究[J]. 粮食与油脂, 2022, 35(8): 30-36.
LIU H, TIAN Y, JIAO J H, et al. Study on hot air drying characteristics and model of sweet potato slices[J]. Cereals & Oils, 2022, 35(8): 30-36.
[21] 康宏彬, 刘铭, 黄高鹏, 等. 陈皮热泵干燥动力学模型构建和特性分析[J]. 农机化研究, 2023, 45(8): 94-102.
KANG H B, LIU M, HUANG G P, et al. Dynamic model construction and characteristic analysis of dried tangerine peel by heat pump[J]. Journal of Agricultural Mechanization Research, 2023, 45(8): 94-102.
[22] 张雪波, 刘显茜, 邹三全, 等. 哈密瓜切片热风干燥特性及数学模型[J]. 食品与机械, 2022, 38(2): 130-136; 142.
ZHANG X B, LIU X X, ZOU S Q, et al. Hot-air drying characteristics and mathematical model of cantaloupe slices[J]. Food & Machinery, 2022, 38(2):130-136; 142.
[23] 吴靖娜, 陈晓婷, 潘南, 等. 不同干燥方式下海马干燥特性及其数学模型[J]. 现代食品科技, 2020, 36(12): 133-142.
WU J N, CHEN X T, PAN N, et al. The drying characteristic and mathematical modeling of various drying method of seahorse[J]. Modern Food Science and Technology, 2020, 36(12): 133-142.
[24] 黎斌, 彭桂兰, 罗传伟, 等. 基于Weibull分布函数的花椒真空干燥动力学特性[J]. 食品与发酵工业, 2017, 43(11): 58-64.
LI B, PENG G L, LUO C W, et al. Vacuum drying kinetics characteristics of Chinese prickly ash based on Weibull distribution[J]. Food and Fermentation Industries, 2017, 43(11): 58-64.
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