Optical techniques for rapid quality monitoring along minimally processed fruit and vegetable chain

Giovenzana, V.; Beghi, R.; Civelli, R.; Guidetti, R.

doi:10.1016/j.tifs.2015.10.006

Cited by 42 publications

(22 citation statements)

References 56 publications

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“…Over the last few years, researchers have been increasingly looking for non-destructive and fast techniques, particularly those based on optical properties [9,10], that could allow evaluation in real-time and produce analyses on a wider range of samples, requiring minimal preparation procedures [11]. Different optical methodologies have been successfully applied in the last few years to evaluate quality parameters as soluble solids content, acidity and firmness [6,12,13].…”

Section: Introductionmentioning

confidence: 99%

Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters

Mancini

Mazzoni

Gagliardi

et al. 2020

Foods

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The determination of strawberry fruit quality through the traditional destructive lab techniques has some limitations related to the amplitude of the samples, the timing and the applicability along all phases of the supply chain. The aim of this study was to determine the main qualitative characteristics through traditional lab destructive techniques and Near Infrared Spectroscopy (NIR) in fruits of five strawberry genotypes. Principal Component Analysis (PCA) was applied to search for spectral differences among all the collected samples. A Partial Least Squares regression (PLS) technique was computed in order to predict the quality parameters of interest. The PLS model for the soluble solids content prediction was the best performing—in fact, it is a robust and reliable model and the validation values suggested possibilities for its use in quality applications. A suitable PLS model is also obtained for the firmness prediction—the validation values tend to worsen slightly but can still be accepted in screening applications. NIR spectroscopy represents an important alternative to destructive techniques, using the infrared region of the electromagnetic spectrum to investigate in a non-destructive way the chemical–physical properties of the samples, finding remarkable applications in the agro-food market.

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Section: Introductionmentioning

confidence: 99%

Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters

Mancini

Mazzoni

Gagliardi

et al. 2020

Foods

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“…Wang et al (2015) and Nicolaï et al (2007) review an extensive number of applications using VIS-NIR and chemometrics to measure the quality and properties of products. Giovenzana et al (2015) presented an overview of spectroscopy applications on fruit and vegetables, in this case focused on different moments throughout the production and distribution process. Cozzolino et al (2011) surveyed the diverse steps and procedures that should be taken into account when calibrations based on NIR spectrometry are developed for the assessment of chemical properties in fruits.…”

Section: Introductionmentioning

confidence: 99%

Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

Cortés

Blasco

Aleixos

et al. 2019

Trends in Food Science & Technology

210

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Background The increasing demand for quality assurance in agro-food production requires sophisticated analytical methods for in-line quality control. One of these techniques is visible and near-infrared (VIS-NIR) spectroscopy, which has low running costs, does not need sample preparation, and is non-destructive, environmentally friendly, and fast. Despite these advantages, only a limited amount of research has been conducted on VIS-NIR in-line applications to measure, control, and predict quality in fruits and vegetables. Scope and Approach The applicability of VIS-NIR spectroscopy for the off-line and in-line monitoring of quality in postharvest products has been addressed in this review. The document focuses on the comparison between the two processes for the same agro-food product, highlighting the main advantages and disadvantages, problems, solutions, and differences. Key Findings and Conclusions VIS-NIR techniques, combined with chemometric methods, have shown great potential due to their fast detection speed, and the possibility of simultaneously predicting multiple quality parameters or distinguishing between products according to the objectives. Being able to automate processes is a great advantage compared to routine off-line analyses, mainly due to the savings achieved in time, material, and personnel. However, in numerous cases, in-line implementation has not been accomplished in the corresponding studies, hence the scarcity of real in-line applications. Recent demands, together with the advances being made in the technology and a reduction in the price of equipment, makes VIS-NIR technology an analytical alternative for continuous realtime food quality controls, which will become predominant in the next few years.

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“…During vis/NIR spectroscopy measurement, light radiation illuminates the sample that absorbs a specific quantity of radiation and reflects another part at specific wavelengths, depending on the sample matrix features. The vis/NIR detector records the specific quantity of vis/NIR light reflected or transmitted after the interaction between light and sample and translates it into a spectrum [21]. Peaks and valleys of the spectra can be correlated to chemical parameters using chemometric techniques for the calibration of predictive models.…”

Section: Introductionmentioning

confidence: 99%

Visible Near Infrared Spectroscopy as a Green Technology: An Environmental Impact Comparative Study on Olive Oil Analyses

et al. 2019

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The olive oil industry is a significant productive sector in the European Union and the related production process is characterised by practices and techniques associated with several adverse effects on the environment. In the literature, many works on the environmental impact assessment of the olive oil chain have been carried out but the effects of the analytical analyses procedures were considered to be negligible. Currently, the reduction of solvents and of energy consumption in the laboratory has become a crucial aspect to be investigated. In this scenario, non-destructive optical methods based on visible/near-infrared (vis/NIR) spectroscopy represent a simple, rapid, and easy-to-use method to predict olive and olive oil quality parameters. Therefore, the aim of the work was to evaluate the environmental impact of the use of optical vis/NIR technologies for analytical assessment in comparison to chemical analyses on olive oil. The life cycle assessment method (LCA) was used. The functional unit defined for this study was the analysis and a “from cradle to grave” approach was applied. The vis/NIR technology results were distinctly better, by 36 times on average, than the chemical methods. Attention must be paid to the calibration phase of the vis/NIR instrumentation: In this case, the two methods must coexist for this initial procedure to obtain the required reference data for a reliable chemometric model. In conclusion, the vis/NIR spectroscopy gives very reliable results and can be considered a green technology, representing a choice among applications of low environmental impact analytical technologies.

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Optical techniques for rapid quality monitoring along minimally processed fruit and vegetable chain

Cited by 42 publications

References 56 publications

Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters

Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters

Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

Visible Near Infrared Spectroscopy as a Green Technology: An Environmental Impact Comparative Study on Olive Oil Analyses

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