# The Detection of Sea Buckthorn Juice SSC Based on a Portable Near-Infrared Spectrometer Combined with an MoE-CNN Prediction Model

**Authors:** Hao Niu, Yabo Zhang, Shiqi Hu, Hong Zhang, Yang Liu

PMC · DOI: 10.3390/foods15010144 · Foods · 2026-01-02

## TL;DR

This study shows that a portable near-infrared spectrometer combined with a new AI model can quickly and accurately measure the sugar content in sea buckthorn juice.

## Contribution

A novel MoE-CNN model is proposed for rapid and accurate SSC detection in sea buckthorn juice using a portable NIR spectrometer.

## Key findings

- The MoE-CNN model achieved an RMSEP of 1.26% and RPD of 3.02, outperforming traditional chemometric models.
- The MoE-CNN model effectively suppressed spectral noise and improved feature extraction through adaptive weighting.
- Combining a portable NIR spectrometer with MoE-CNN provides a feasible method for rapid SSC detection in sea buckthorn juice.

## Abstract

The use of a portable near-infrared (NIR) spectrometer for detecting sea buckthorn juice SSC has not been explored. In this study, spectral data of 180 juice samples were collected using a portable NIR spectrometer. An SSC prediction model based on a mixture of experts convolutional neural network (MoE-CNN) was proposed. The MoE-CNN model was compared with traditional chemometric models in terms of prediction performance and feature extraction capability. The results showed that detecting the SSC of sea buckthorn juice using a portable NIR spectrometer combined with the MoE-CNN model is feasible. The optimal chemometric model, CARS-PLS, achieved RMSEP and RPD values of 1.42% and 2.67, respectively. The MoE-CNN model outperformed chemometric models and the CNN model, achieving an RMSEP of 1.26% and RPD of 3.02. Compared with CARS-PLSR, MoE-CNN adaptively weighted spectral features through MoE and feature fusion modules, effectively suppressing spectral noise and improving detailed feature extraction. These findings demonstrate that combining a portable NIR spectrometer with MoE-CNN is effective for rapid SSC detection in sea buckthorn juice. This study provides a new approach for the rapid detection of sea buckthorn juice SSC.

## Full-text entities

- **Species:** Hippophae rhamnoides (sallowthorn, species) [taxon 193516]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12785896/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12785896/full.md

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Source: https://tomesphere.com/paper/PMC12785896