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Original Articles

A Study on Soluble Solids Content Assessment Using Electronic Nose: Persimmon Fruit Picked on Different Dates

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Pages 53-62 | Received 05 Feb 2012, Accepted 28 Jun 2014, Published online: 09 Oct 2015

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Marcus Vinicius da Silva Ferreira, Jose Lucena Barbosa, Mohammed Kamruzzaman & Douglas Fernandes Barbin. (2023) Low-cost electronic-nose (LC-e-nose) systems for the evaluation of plantation and fruit crops: recent advances and future trends. Analytical Methods 15:45, pages 6120-6138.
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Yuzhen Chen, Wanxia Sun, Songtao Jiu, Lei Wang, Bohan Deng, Zili Chen, Fei Jiang, Menghan Hu & Caixi Zhang. (2022) Soluble Solids Content Binary Classification of Miyagawa Satsuma in Chongming Island Based on Near Infrared Spectroscopy. Frontiers in Plant Science 13.
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Baohua Yang, Yuan Gao, Qian Yan, Lin Qi, Yue Zhu & Bing Wang. (2020) Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. Sensors 20:18, pages 5021.
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Lu Han, Jingyi Zhu, Xia Fan, Chong Zhang, Kang Tu, Jing Peng, Jiahong Wang & Leiqing Pan. (2020) Rapid Non-Destructive Quantification of Eugenol in Curdlan Biofilms by Electronic Nose Combined with Gas Chromatography-Mass Spectrometry. Sensors 20:16, pages 4441.
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Xiangzheng Yang, Jiahui Chen, Lianwen Jia, Wangqing Yu, Da Wang, Wenwen Wei, Shaojia Li, Shiyi Tian & Di Wu. (2020) Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics. Sensors 20:7, pages 1866.
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Wenshen Jia, Gang Liang, Zhuojun Jiang & Jihua Wang. (2019) Advances in Electronic Nose Development for Application to Agricultural Products. Food Analytical Methods 12:10, pages 2226-2240.
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Sai Xu, Huazhong Lu, Christopher Ference & Qianqian Zhang. (2019) Visible/near Infrared Reflection Spectrometer and Electronic Nose Data Fusion as an Accuracy Improvement Method for Portable Total Soluble Solid Content Detection of Orange. Applied Sciences 9:18, pages 3761.
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Dongyan Zhang, Lu Xu, Qingyan Wang, Xi Tian & Jiangbo Li. (2018) The Optimal Local Model Selection for Robust and Fast Evaluation of Soluble Solid Content in Melon with Thick Peel and Large Size by Vis-NIR Spectroscopy. Food Analytical Methods 12:1, pages 136-147.
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Lu Xu, Jiangbo Li & Dongyan Zhang. (2018) Near-infrared light penetration depth analysis inside melon with thick peel by a novel strategy of slicing combining with least square fitting method. Journal of Food Process Engineering 41:7, pages e12886.
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Xun Wei, Yuchen Zhang, Di Wu, Zhenbo Wei & Kunsong Chen. (2018) Rapid and Non-Destructive Detection of Decay in Peach Fruit at the Cold Environment Using a Self-Developed Handheld Electronic-Nose System. Food Analytical Methods 11:11, pages 2990-3004.
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Sai Xu, Xiuxiu Sun, Huazhong Lu, Hui Yang, Qingsong Ruan, Hao Huang & Minglin Chen. (2018) Detecting and Monitoring the Flavor of Tomato (Solanum lycopersicum) under the Impact of Postharvest Handlings by Physicochemical Parameters and Electronic Nose. Sensors 18:6, pages 1847.
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Ye Sun, Kangli Wei, Qiang Liu, Leiqing Pan & Kang Tu. (2018) Classification and Discrimination of Different Fungal Diseases of Three Infection Levels on Peaches Using Hyperspectral Reflectance Imaging Analysis. Sensors 18:4, pages 1295.
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Satyam Srivastava & Shashikant Sadistap. (2017) Non-destructive sensing methods for quality assessment of on-tree fruits: a review. Journal of Food Measurement and Characterization 12:1, pages 497-526.
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Sai Xu, Enli Lü, Huazhong Lu, Zhiyan Zhou, Yu Wang, Jing Yang & Yajuan Wang. (2016) Quality Detection of Litchi Stored in Different Environments Using an Electronic Nose. Sensors 16:6, pages 852.
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