开发和应用低成本便携式多通道羊肉掺假光谱检测系统

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
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引用次数: 0

摘要

开发低成本、快速和便携式的肉类掺假检测系统以确保复杂市场环境中肉类的真实性和安全性非常重要。本研究开发了一种用于肉类掺假的多通道光谱检测系统。系统的核心硬件主要包括一个设计好的光谱模块和一个 Raspberry pi 控制器。光谱模块由三个多通道光谱传感器和特定波长的 LED 灯组成,包含 18 个通道,波长范围为 410-940 nm。软件基于 PyQt5 开发。系统构建完成后,经讨论确定检测距离为 4 毫米。根据所开发系统收集的光谱数据,建立并比较了纯羊肉、纯猪肉、羊肉香精掺假、着色剂掺假和羊肉与猪肉掺假的分类模型。为提高模型性能,还进一步使用了四种智能优化算法。测试集的结果表明,采用麻雀搜索算法(SSA)优化的支持向量分类(SVC)模型的分类性能最好,准确率为 97.59%,Kappa 系数为 0.9696。将 SSA-SVC 纳入传感器软件后,使用外部验证样本对系统性能进行了评估。系统的总体准确率为 94.29%。系统检测一个样品的时间约为 5.31 秒,系统总重量为 1.55 千克。总之,所开发的便携式光谱系统在现场快速准确地鉴别掺假羊肉方面具有相当大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and application of a low-cost and portable multi-channel spectral detection system for mutton adulteration

It is important to develop low-cost, fast and portable meat adulteration detection systems to ensure the meat authenticity and safety in complex market environments. A multi-channel spectral detection system for meat adulteration was developed in this study. The core hardware of the system mainly includes a designed spectral module and a Raspberry pi controller. The spectral module consists of three multi-channel spectral sensors and LED lamps with specific wavelengths, containing 18 channels covering a range of 410–940 nm. The software was developed based on PyQt5. After completing the construction of the system, the detection distance was discussed and determined to be 4 mm. Based on the spectral data collected by the developed system, the models for classifying pure mutton, pure pork, mutton flavour essence adulteration, colourant adulteration and adulterated mutton with pork were established and compared. Four intelligent optimisation algorithms were further used to improve the model performance. The results of the test set showed that the support vector classification (SVC) model optimised by a sparrow search algorithm (SSA) obtained the best classification performance, with an accuracy of 97.59% and a Kappa coefficient of 0.9696. After the SSA-SVC was incorporated into the sensor software, the system performance was evaluated using external validation samples. The overall accuracy of the system was 94.29%. The system took about 5.31 s to detect a sample, and the total weight of the system was 1.55 kg. Overall, the developed portable spectral system has considerable potential to rapidly and accurately discriminate adulterated mutton in the field.

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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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