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基于集成传感技术的监测框架,增强食品安全和可追溯性。

A Monitoring Framework with Integrated Sensing Technologies for Enhanced Food Safety and Traceability.

机构信息

Institute for Microelectronics and Microsystems, National Research Council of Italy (CNR-IMM), Campus Ecotekne, Via per Monteroni s.n., 73100 Lecce, Italy.

Department of Innovation Engineering, University of Salento, Campus Ecotekne, Via per Monteroni s.n., 73100 Lecce, Italy.

出版信息

Sensors (Basel). 2022 Aug 29;22(17):6509. doi: 10.3390/s22176509.

DOI:10.3390/s22176509
PMID:36080972
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9459684/
Abstract

A novel and low-cost framework for food traceability, composed by commercial and proprietary sensing devices, for the remote monitoring of air, water, soil parameters and herbicide contamination during the farming process, has been developed and verified in real crop environments. It offers an integrated approach to food traceability with embedded systems supervision, approaching the problem to testify the quality of the food product. Moreover, it fills the gap of missing low-cost systems for monitoring cropping environments and pesticides contamination, satisfying the wide interest of regulatory agencies and final customers for a sustainable farming. The novelty of the proposed monitoring framework lies in the realization and the adoption of a fully automated prototype for in situ glyphosate detection. This device consists of a custom-made and automated fluidic system which, leveraging on the Molecularly Imprinted Polymer (MIP) sensing technology, permits to detect unwanted glyphosate contamination. The custom electronic mainboard, called ElectroSense, exhibits both the potentiostatic read-out of the sensor and the fluidic control to accomplish continuous unattended measurements. The complementary monitored parameters from commercial sensing devices are: temperature, relative humidity, atmospheric pressure, volumetric water content, electrical conductivity of the soil, pH of the irrigation water, total Volatile Organic Compounds (VOCs) and equivalent CO2. The framework has been validated during the olive farming activity in an Italian company, proving its efficacy for food traceability. Finally, the system has been adopted in a different crop field where pesticides treatments are practiced. This has been done in order to prove its capability to perform first level detection of pesticide treatments. Good correlation results between chemical sensors signals and pesticides treatments are highlighted.

摘要

一个新颖且低成本的食品可追溯性框架,由商业和专有感测设备组成,用于远程监测农业过程中的空气、水、土壤参数和除草剂污染,已在真实作物环境中得到开发和验证。它提供了一种嵌入式系统监管的综合食品可追溯性方法,解决了食品产品质量检验的问题。此外,它填补了监测种植环境和农药污染的低成本系统的空白,满足了监管机构和最终客户对可持续农业的广泛兴趣。所提出的监测框架的新颖之处在于实现和采用了用于现场草甘膦检测的全自动原型。该设备由定制的自动化流体系统组成,该系统利用分子印迹聚合物(MIP)感测技术,可检测到不需要的草甘膦污染。称为 ElectroSense 的定制电子主板同时执行传感器的恒电位读出和流体控制,以实现连续无人值守的测量。来自商业感测设备的互补监测参数包括:温度、相对湿度、大气压力、体积含水量、土壤电导率、灌溉水的 pH 值、总挥发性有机化合物(VOCs)和等效 CO2。该框架已在意大利一家公司的橄榄种植活动中得到验证,证明了其在食品可追溯性方面的功效。最后,该系统已在另一个作物领域采用,该领域进行了农药处理。这是为了证明它能够进行农药处理的初步检测。化学传感器信号和农药处理之间的相关性结果很好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2b/9459684/331a299a83e8/sensors-22-06509-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2b/9459684/e391defa7fc9/sensors-22-06509-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2b/9459684/e42693d5db9a/sensors-22-06509-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2b/9459684/cad3214f1cf4/sensors-22-06509-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f2b/9459684/331a299a83e8/sensors-22-06509-g010.jpg

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