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基于计算机屏幕光辅助的气体传感器阵列进行鱼类新鲜度检测。

Fish freshness detection by a computer screen photoassisted based gas sensor array.

作者信息

Alimelli Adriano, Pennazza Giorgio, Santonico Marco, Paolesse Roberto, Filippini Daniel, D'Amico Arnaldo, Lundström Ingemar, Di Natale Corrado

机构信息

Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy.

出版信息

Anal Chim Acta. 2007 Jan 23;582(2):320-8. doi: 10.1016/j.aca.2006.09.046. Epub 2006 Sep 29.

Abstract

In the last years a large number of different measurement methodologies were applied to measure the freshness of fishes. Among them the connection between freshness and headspace composition has been considered by gas chromatographic analysis and from the last two decades by a number of sensors and biosensors aimed at measuring some characteristic indicators (usually amines). More recently also the so-called artificial olfaction systems gathering together many non-specific sensors have shown a certain capability to transduce the global composition of the fish headspace capturing the differences between fresh and spoiled products. One of the main objectives related to the introduction of sensor systems with respect to the analytical methods is the claimed possibility to distribute the freshness control since sensors are expected to be "portable" and "simple". In spite of these objectives, until now sensor systems did not result in any tool that may be broadly distributed. In this paper, we present a chemical sensor array where the optical features of layers of chemicals, sensitive to volatile compounds typical of spoilage processes in fish, are interrogated by a very simple platform based on a computer screen and a web cam. An array of metalloporphyrins is here used to classify fillets of thawed fishes according to their storage days and to monitor the spoilage in filleted anchovies for a time of 8 h. Results indicate a complete identification of the storage days of thawed fillets and a determination of the storage time of anchovies held at room temperature with a root mean square error of validation of about 30 min. The optical system produces a sort of spectral fingerprint containing information about both the absorbance and the emission of the sensitive layer. The system here illustrated, based on computer peripherals, can be easily scaled to any device endowed with a programmable screen and a camera such as cellular phones offering for the first time the possibility to fulfil the sensor expectation of diffused and efficient analytical capabilities.

摘要

在过去几年中,大量不同的测量方法被应用于测定鱼类的新鲜度。其中,通过气相色谱分析研究了新鲜度与顶空成分之间的联系,在过去二十年里,许多旨在测量某些特征指标(通常是胺类)的传感器和生物传感器也对其进行了研究。最近,所谓的人工嗅觉系统,它集成了许多非特异性传感器,已显示出一定的能力来转换鱼头空间的整体成分,捕捉新鲜产品和变质产品之间的差异。与分析方法相比,引入传感器系统的一个主要目标是宣称有可能实现新鲜度控制的分布式检测,因为传感器有望“便携”且“简单”。尽管有这些目标,但到目前为止,传感器系统尚未成为一种可以广泛推广的工具。在本文中,我们展示了一种化学传感器阵列,其中对鱼类腐败过程中典型挥发性化合物敏感的化学物质层的光学特性,由一个基于电脑屏幕和网络摄像头的非常简单的平台进行检测。这里使用一系列金属卟啉,根据解冻鱼柳的储存天数对其进行分类,并对去骨凤尾鱼在8小时内的腐败情况进行监测。结果表明,能够完全识别解冻鱼柳的储存天数,并确定室温下保存的凤尾鱼的储存时间,验证的均方根误差约为30分钟。该光学系统产生一种包含敏感层吸光度和发射光信息的光谱指纹。本文展示的基于计算机外围设备的系统,可以很容易地扩展到任何配备可编程屏幕和摄像头的设备,如手机,首次实现了满足传感器所期望的广泛而高效的分析能力的可能性。

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