Relationship between optical properties and internal quality of potatoes during storage

被引:4
|
作者
Xiao, Zhengwei [1 ]
Xu, Yingchao [1 ]
Wang, Xiangyou [1 ]
Wang, Yi [1 ]
Qu, Junzhe [1 ]
Cheng, Meng [1 ]
Chen, Shengfa [1 ]
机构
[1] Shandong Univ Technol, Coll Agr Engn & Food Sci, Zibo 255000, Peoples R China
关键词
Potato; Internal quality; Ultrastructure; Integrating sphere; Optical properties; SCATTERING PROPERTIES; SOLUBLE SOLIDS; FIRMNESS; FRUIT; FLESH; ABSORPTION; APPLES; SKIN;
D O I
10.1016/j.foodchem.2023.138334
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The optical properties [absorption coefficient (mu(a)) and reduced scattering coefficient (mu(s)')] and internal quality [firmness (FI), moisture content (MC), and soluble solids content (SSC)] of stored potatoes at 25 degrees C were determined, along with ultrastructure observation. Potato tissue ultrastructure changed significantly with storage time, exhibiting enhanced scattering properties and a monotonic increase in mu(s)'. The mu(a) spectra showed significant correlations with MC and SSC, while the mu(s)' spectra were more strongly correlated with FI. The competitive adaptive reweighted sampling (CARS) algorithm improved the prediction accuracy for partial least squares regression (PLSR) and support vector regression (SVR) models. The best predictions were 1st-Derivative-mu(s)'-FI-PLSR (R-P = 0.897, RMSEP = 0.036 N, RPD = 2.262), SG-mu(a) -MC-SVR (R-P = 0.886, RMSEP = 0.438 %, RPD = 2.157), and Raw-mu(a) -SSC-SVR (R-P = 0.873, RMSEP = 0.137 %, RPD = 2.050). These results demonstrate the potential for predicting internal quality using potato's optical properties.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Effect of CPPU on bulk optical properties of kiwifruit during storage in near-infrared range
    Liu, Dayang
    Xie, Dandan
    Guo, Wenchuan
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2020, 100 (07) : 3111 - 3119
  • [22] Determination of anthocyanin and moisture content of purple sweet potatoes during drying process by their optical properties in the 400-1050 nm range
    Peng, Jing
    Wang, Ke
    Ma, Chen
    Long, Jiamei
    Tu, Kang
    Pan, Leiqing
    FOOD CHEMISTRY, 2021, 359
  • [23] Forecast of Apple Internal Quality Indices at Harvest and During Storage by VIS-NIR Spectroscopy
    Ignat, Timea
    Lurie, Susan
    Nyasordzi, Juliana
    Ostrovsky, Viacheslav
    Egozi, Haim
    Hoffman, Aharon
    Friedman, Haya
    Weksler, Asya
    Schmilovitch, Ze'ev
    FOOD AND BIOPROCESS TECHNOLOGY, 2014, 7 (10) : 2951 - 2961
  • [24] Changes in sugar content and processing quality of potatoes during storage and reconditioning
    Kumar, D
    Ezekiel, R
    JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2005, 42 (05): : 400 - 404
  • [25] Optical properties related to cell wall pectin contribute to determine the firmness and microstructural changes during apple softening
    Wang, Zhenjie
    Zuo, Changzhou
    Wang, Mengyao
    Song, Shiyu
    Hu, Yue
    Song, Jin
    Tu, Kang
    He, Hongju
    Lan, Weijie
    Pan, Leiqing
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2024, 218
  • [26] Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue
    Cen, Haiyan
    Lu, Renfu
    Mendoza, Fernando
    Beaudry, Randolph M.
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2013, 85 : 30 - 38
  • [27] PREDICTION OF APPLE INTERNAL QUALITY USING SPECTRAL ABSORPTION AND SCATTERING PROPERTIES
    Qin, J.
    Lu, R.
    Peng, Y.
    TRANSACTIONS OF THE ASABE, 2009, 52 (02) : 499 - 507
  • [28] Internal Quality Prediction Method of Damaged Korla Fragrant Pears during Storage
    Liu, Yang
    Niu, Xiyue
    Tang, Yurong
    Li, Shiyuan
    Lan, Haipeng
    Niu, Hao
    HORTICULTURAE, 2023, 9 (06)
  • [29] Quality assessment of tomato fruit by optical absorption and scattering properties
    Huang, Yuping
    Lu, Renfu
    Hu, Dong
    Chen, Kunjie
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2018, 143 : 78 - 85
  • [30] Qualitative and quantitative assessment of apple quality using bulk optical properties in combination with machine learning and chemometrics techniques
    Tian, Kai
    Zhu, Weijie
    Wang, Minjie
    Chen, Ting
    Li, Fuqi
    Xie, Jianchao
    Peng, Yumeng
    Sun, Tong
    Zhou, Guoquan
    Hu, Dong
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2024, 211