A non-destructive detection method for crab roe within live Chinese mitten crabs (Eriocheir sinensis) via near-infrared transmittance spectroscopy

This study pioneers a rapid, non-destructive methodology for detecting crab roe in live Chinese mitten crabs using near-infrared transmittance spectroscopy (NIR-TS), motivated by the high edible and economic value of this component. A customized optical system was used to measure NIR transmission spectra from 62 live crabs, including intact specimens, dissected tissues (roe, shell, and roe-removed), and nine specific body regions, while simultaneously measuring crab central thickness and roe distribution. A classification model was developed based on regional spectra to distinguish roe-containing and roe-free regions, enabling prediction of crab roe distribution within live specimens. A dataset of 558 specta was split into training, validation, and test sets at a ratio of 6:2:2. The results indicated measurable non-zero transmittance in both intact crabs and isolated shells, suggesting the potential ability of short-wave NIR (SW-NIR, 780-1100nm) to penetrate multi-layered tissues. Regional spectral analysis revealed that crab roe was the primary transmission modulator, surpassing thickness effects, with roe-containing regions consistently exhibiting lower transmittance than roe-free. Modeling result showed that after multiplicative scatter correction (MSC) preprocessed for spetra, Backpropagation Neural Network (BPNN) model combining both LASSO-selected feature and 30 spectral statistic features (SFs30) achieved the best performance with 96.2% accuracy. Furthermore, roe distribution prediction showed 94.4% concordance with ground-truth validation. The model's classification capability was attributed to specific NIR wavelengths associated with key biochemical signatures, forming a distinctive fingerprint for crab roe detection. This methodology provides a novel solution for quality grading of crabs, addressing environmentally friendly, and cost-effective requirements for aquatic supply chain. • First application of NIR transmittance spectroscopy to live crab roe detection • The customized NIR system measured the non-zero transmittance of live crabs • Significant transmittance differences: crab roe-containing vs. roe-free regions • BPNN combined “LASSO-SPs30” feature achieves 97.4% roe detection accuracy • The model enables accurate distribution prediction of crab roe in live crabs

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Publication Details

Journal
LWT
Published
2025-10-17
DOI
https://doi.org/10.1016/j.lwt.2025.118632
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
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article

A non-destructive detection method for crab roe within live Chinese mitten crabs (Eriocheir sinensis) via near-infrared transmittance spectroscopy

Shuwen Jiang, Xiaohe Gu, Chi Zhang, Tianen Chen et al.
LWT
Spectroscopy and Chemometric Analyses
article

A non-destructive detection method for crab roe within live Chinese mitten crabs (Eriocheir sinensis) via near-infrared transmittance spectroscopy

Shuwen Jiang, Xiaohe Gu, Chi Zhang, Tianen Chen, Cong Wang, Mengyao Lu, Yi Jiao, Dinglian Zhu
article en

Abstract

This study pioneers a rapid, non-destructive methodology for detecting crab roe in live Chinese mitten crabs using near-infrared transmittance spectroscopy (NIR-TS), motivated by the high edible and economic value of this component. A customized optical system was used to measure NIR transmission spectra from 62 live crabs, including intact specimens, dissected tissues (roe, shell, and roe-removed), and nine specific body regions, while simultaneously measuring crab central thickness and roe distribution. A classification model was developed based on regional spectra to distinguish roe-containing and roe-free regions, enabling prediction of crab roe distribution within live specimens. A dataset of 558 specta was split into training, validation, and test sets at a ratio of 6:2:2. The results indicated measurable non-zero transmittance in both intact crabs and isolated shells, suggesting the potential ability of short-wave NIR (SW-NIR, 780-1100nm) to penetrate multi-layered tissues. Regional spectral analysis revealed that crab roe was the primary transmission modulator, surpassing thickness effects, with roe-containing regions consistently exhibiting lower transmittance than roe-free. Modeling result showed that after multiplicative scatter correction (MSC) preprocessed for spetra, Backpropagation Neural Network (BPNN) model combining both LASSO-selected feature and 30 spectral statistic features (SFs30) achieved the best performance with 96.2% accuracy. Furthermore, roe distribution prediction showed 94.4% concordance with ground-truth validation. The model's classification capability was attributed to specific NIR wavelengths associated with key biochemical signatures, forming a distinctive fingerprint for crab roe detection. This methodology provides a novel solution for quality grading of crabs, addressing environmentally friendly, and cost-effective requirements for aquatic supply chain. • First application of NIR transmittance spectroscopy to live crab roe detection • The customized NIR system measured the non-zero transmittance of live crabs • Significant transmittance differences: crab roe-containing vs. roe-free regions • BPNN combined “LASSO-SPs30” feature achieves 97.4% roe detection accuracy • The model enables accurate distribution prediction of crab roe in live crabs

LWTVol. 235
Sixin (China) (CN), Beijing Academy of Agricultural and Forestry Sciences (CN), National Engineering Research Center for Information Technology in Agriculture (CN)
Openalex Percentile: Top 66%
Spectroscopy and Chemometric Analyses
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