Assessment of the optical response of bruised kiwifruit using hyperspectral imaging and its relationships with water migration

被引:2
作者
Liang, Diandian [1 ]
Wang, Ning [2 ]
Yin, Hao [2 ]
Cui, Jie [1 ]
Huang, Yuping [3 ]
Sun, Ye [1 ]
Hu, Yonghong [1 ]
机构
[1] Nanjing Technol Univ, Coll Food Sci & Light Ind, 30 Puzhu South Rd, Nanjing 211816, Peoples R China
[2] Nanjing Technol Univ, Coll Biol & Pharmaceut Engn, Nanjing 211816, Peoples R China
[3] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing 210037, Peoples R China
基金
中国国家自然科学基金;
关键词
Impact bruises; Low-field nuclear magnetic resonance; Relaxation time; Linear fitting; Damage discrimination; MECHANICAL DAMAGE; QUALITY; ABSORPTION;
D O I
10.1016/j.postharvbio.2025.113515
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This study aimed to investigate the capability of hyperspectral imaging (HSI) technology in non-destructive detection of early damage in kiwifruit, revealing its detection mechanisms from the perspective of moisture migration caused by damage. Low-field nuclear magnetic resonance (LF NMR) technology, HSI, and hyperspectral microscopic imaging (HMI) were employed to examine the relationships between moisture content in different states, relative spectral reflectance, and spectral absorbance of "Zespri" green kiwifruit at 0, 2, 4, 6, and 8 d post-damage. Additionally, the relationship between spectral absorbance and moisture content in four states was explored. The results indicated that bruising damage disrupted the microstructure of the kiwifruit, and exacerbated the migration of free water in the vacuoles, leading to an earlier peak in the proportion of free water compared to the control group. Significant moisture absorption bands were observed at the characteristic wavelengths corresponding to hyperspectral relative reflectance and hyperspectral microscopic absorbance of damaged kiwifruit. A high negative correlation was found between hyperspectral microscopic absorbance and free water content, with linear fitting results for the top five wavelengths showing R2 values exceeding 0.8940. Using the hyperspectral reflectance at the 30 most relevant characteristic wavelengths related to free water content, early discrimination analysis of damaged kiwifruit was conducted, yielding an average accuracy of 96.56 % across four model validation sets. These findings indicate that the mechanism of hyperspectral imaging in detecting bruises in kiwifruit is potentially related to free water content. This research provides new insights into the non-destructive detection mechanisms of bruised fruit using hyperspectral imaging technology from the perspective of moisture migration.
引用
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页数:11
相关论文
共 40 条
[1]  
Aliasgarian S., 2015, Acta Technologica Agriculturae, V18, P1, DOI 10.1515/ata-2015-0001
[2]   Determination of spectral resolutions for multispectral detection of apple bruises using visible/near-infrared hyperspectral reflectance imaging [J].
Baek, Insuck ;
Mo, Changyeun ;
Eggleton, Charles ;
Gadsden, S. Andrew ;
Cho, Byoung-Kwan ;
Qin, Jianwei ;
Chan, Diane E. ;
Kim, Moon S. .
FRONTIERS IN PLANT SCIENCE, 2022, 13
[3]  
Cen H, 2012, T ASABE, V55, P647
[4]   Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue [J].
Cen, Haiyan ;
Lu, Renfu ;
Mendoza, Fernando ;
Beaudry, Randolph M. .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2013, 85 :30-38
[5]   Pixel based bruise region extraction of apple using Vis-NIR hyperspectral imaging [J].
Che, Wenkai ;
Sun, Laijun ;
Zhang, Qian ;
Tan, Wenyi ;
Ye, Dandan ;
Zhang, Dan ;
Liu, Yangyang .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 146 :12-21
[6]   XGBoost: A Scalable Tree Boosting System [J].
Chen, Tianqi ;
Guestrin, Carlos .
KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, :785-794
[7]   Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging [J].
Chun, Seung-Woo ;
Song, Doo-Jin ;
Lee, Kwang-Ho ;
Kim, Min-Jee ;
Kim, Moon S. ;
Kim, Kyoung-Su ;
Ae, Changyeun Mo .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2024, 214
[8]   Comparison of a new apple firmness penetrometer with three standard instruments [J].
DeLong, JM ;
Prange, RK ;
Harrison, PA ;
McRae, KB .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2000, 19 (03) :201-209
[9]   From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging [J].
Ebrahimi, Sajad ;
Pourdarbani, Razieh ;
Sabzi, Sajad ;
Rohban, Mohammad H. ;
Arribas, Juan I. .
HORTICULTURAE, 2023, 9 (08)
[10]   Early detection of apple bruises on different background colors using hyperspectral imaging [J].
ElMasry, Gamal ;
Wang, Ning ;
Vigneault, Clement ;
Qiao, Jun ;
ElSayed, Adel .
LWT-FOOD SCIENCE AND TECHNOLOGY, 2008, 41 (02) :337-345