Test of a light emitting diode fully integrated pre-prototype spectrometer for rapid evaluation of table tomato (Solanum lycopersicum L., Marinda F1) quality

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
A. Tugnolo, A. Pampuri, V. Giovenzana, A. Casson, R. Guidetti, R. Beghi
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引用次数: 0

Abstract

The present research aims to evaluate the performance of an optical pre-prototype based on light emitting diode, (450–860 nm) to quantify table tomatoes’ quality features in a rapid and non-destructive way (Solanum lycopersicum L., Marinda F1). A total of 200 samples were analysed. Calibration of the pure near infrared (NIR, 960–1650 nm) and visible/near infrared (VIS/NIR, 400–1000 nm) commercial spectrometers to estimate the main tomato quality parameters, i.e. moisture content (MC) and total soluble solids (TSS), was performed by using PLS regression. Since no substantial differences were highlighted between the two commercial devices, to reduce the complexity while keeping the performance of the model using the whole spectra (1647 variables for VIS/NIR), a cost-effective pre-prototype was designed and built by using 12 bands in the VIS/NIR optical range. The pre-prototype shows slightly lower performance, resulting in RMSEP values of 2% and 1.45 °Brix for MC and TSS respectively, compared to RMSEP values of 1% and 1.19 °Brix for the VIS/NIR device (using the entire spectrum). Moreover, no significant differences at 95% were highlighted by using Passing-Bablok regression. In conclusion, the pre-prototype performance can be considered sufficiently accurate to allow an initial field screening of the trend of the analysed parameters (MC and TSS) using a new generation of simplified optical sensors.
用于快速评估食用番茄(Solanum lycopersicum L.,Marinda F1)质量的发光二极管全集成预原型光谱仪的测试
本研究旨在评估基于发光二极管(450–860 nm)的光学预原型的性能,以快速、无损的方式量化番茄的质量特征(Solanum lycopersicum L.,Marinda F1)。共分析了200个样本。通过使用PLS回归对纯近红外(NIR,960–1650 nm)和可见光/近红外(VIS/NIR,400–1000 nm)商用光谱仪进行校准,以估计番茄的主要质量参数,即水分含量(MC)和总可溶性固形物(TSS)。由于两种商业设备之间没有显著差异,为了降低复杂性,同时保持使用全光谱(1647个VIS/NIR变量)的模型性能,通过使用VIS/NIR光学范围内的12个波段设计和构建了一个具有成本效益的预原型。预原型显示出略低的性能,导致MC和TSS的RMSEP值分别为2%和1.45°Brix,而VIS/NIR设备(使用整个光谱)的RMSEP值分别为1%和1.19°Brix。此外,通过Passing Bablok回归,在95%时没有显著差异。总之,可以认为原型前的性能足够准确,可以使用新一代简化的光学传感器对分析参数(MC和TSS)的趋势进行初步现场筛选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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