The uses of near infra-red spectroscopy in postharvest decision support: A review

Walsh, Kerry B.; McGlone, Andrew; Han, Dong

doi:10.1016/j.postharvbio.2020.111139

Cited by 131 publications

(88 citation statements)

References 34 publications

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“…Very few scientist are aware that black box technology can be expanded for the physical-chemical characterisation of spectra [51][52][53]. Please note that it is not the objective of this paper to provide a comprehensive and detailed description of the different vibrational methods used as rapid or high throughput methods [54][55][56][57][58][59][60][61][62][63][64]. More detailed information about the different methods and techniques available as well the different technical characteristics or properties of the commercial instrumentation available in the market can be found elsewhere [54][55][56][57][58][59][60][61][62][63][64].…”

Section: Collecting the Information-the Spectramentioning

confidence: 99%

The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy

Cozzolino

2020

Molecules

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The last two decades have witnessed an increasing interest in the use of the so-called rapid analytical methods or high throughput techniques. Most of these applications reported the use of vibrational spectroscopy methods (near infrared (NIR), mid infrared (MIR), and Raman) in a wide range of samples (e.g., food ingredients and natural products). In these applications, the analytical method is integrated with a wide range of multivariate data analysis (MVA) techniques (e.g., pattern recognition, modelling techniques, calibration, etc.) to develop the target application. The availability of modern and inexpensive instrumentation together with the access to easy to use software is determining a steady growth in the number of uses of these technologies. This paper underlines and briefly discusses the three critical pillars—the sample (e.g., sampling, variability, etc.), the spectra and the mathematics (e.g., algorithms, pre-processing, data interpretation, etc.)—that support the development and implementation of vibrational spectroscopy applications.

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Section: Collecting the Information-the Spectramentioning

confidence: 99%

The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy

Cozzolino

2020

Molecules

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“…NIR spectroscopy is a potential tool for non-destructive assessment of quality traits of fresh produce and agricultural products ( Sirisomboon, 2018 ). In this respect, Walsh et al, (2020) reviewed the applications of NIR spectroscopy in the field of postharvest decision support systems. The NIR spectroscopy is being commercially used in the postharvest processing industry of some fruits and vegetables ( Cattaneo and Stellari, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages

Alenazi

Shafiq

Alsadon

et al. 2020

Saudi Journal of Biological Sciences

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Non-destructive methods have been widely recognized for evaluating fruit quality traits of many horticultural crops and food processing industry. Destructive (analytical) test, and non-destructive evaluation of the quality traits were investigated and compared for ‘Red Rose’ tomato ( Solanum lycopersicum L.) fruit grown under protected environment. Fresh tomato fruit at five distinctive maturity stages namely; breaker (BK), turning (TG), pink (PK), light-red (LR), and red (RD) were labeled and scanned using the handheld near infra-red (NIR) enhanced spectrometer at a wavelength range of 285–1200 nm. The labeled tomato samples were then measured analytically for flesh firmness, lycopene, β-carotene, total phenolic content (TPC) and total flavonoids content (TFC). The results revealed that quality traits could be estimated using NIR spectroscopy with a relatively high coefficient of determination (R 2 ): 0.834 for total phenolic content, 0.864 for lycopene, 0.790 for total flavonoid content, 0.708 for β-carotene; and 0.679 for flesh firmness. The accumulation of Lyco and β-Car rapidly increased in tomatoes harvested between the TG and the LR maturity stages. Harvesting tomatoes at BK maturity stage resulted in significantly higher flesh firmness than harvesting at the later maturity stages. Tomato fruits had the lowest TPC and TFC contents at the earliest maturity stage (BK), while they had intermediate TPC and TFC levels at LR and RD maturity stages. NIR spectroscopic measurements of fruit firmness and lipophilic antioxidants in tomato fruit at various maturity stages were partially in accordance with those estimated by destructive (analytical) methods. Based on these findings, we recommend using non-destructive NIR spectroscopy as an effective tool for predicting tomato fruit quality during harvest stage and postharvest processing.

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“…ROC curve analyses are used in many medical fields to assess the performance of biomarkers as binary classifiers to predict disease risk. In postharvest biology, ROC curves have found application in fruit sorting when VIS/NIR non-destructive equipped graders are used to assess internal fruit quality (Walsh et al, 2020). And recently, Leisso et al (2019) used ROC curves to assess the influence of preharvest factors like GDD, chilling hours and other fruit quality parameters as binary classifiers to predict the risk of disorders developing in 'Honeycrisp' apples.…”

Section: 4mentioning

confidence: 99%

Occurrence of physiological browning disorders in stored ‘Braeburn’ apples as influenced by orchard and weather conditions

McCormick

Biegert

Streif

2021

Postharvest Biology and Technology

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Physiological storage disorders continue to cause sizable economic losses in a range of commercially important pomefruit cultivars. Given similar storage regimes, the incidence and severity of browning disorders in the apple cultivar 'Braeburn' can vary in different years in a way that can be explained by the interaction of preharvest seasonal and orchard factors. Over a three-year period (2016 to 2019) at the Kompetenzzentrum Obstbau-Bodensee (KOB) in Southwest Germany a range of orchard and storage treatments were conducted for: air temperature during cell division for three weeks post petalfall or during four weeks preharvest, calcium orchard sprays, crop load and harvest timings. Following controlled atmosphere (CA) storage, the disorder incidence for internal browning and cavity formation varied markedly over the three different growing seasons. Crop load treatments strongly influenced the expression of browning disorders in all years. Differences in air temperatures (△ +/-2 °C compared to ambient) during the cell division period showed little effect on browning incidence. Warm night temperatures (>10 °C) prior to harvest can reduce internal browning in 'Braeburn' apples during CA storage and shelf-life.

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The uses of near infra-red spectroscopy in postharvest decision support: A review

Cited by 131 publications

References 34 publications

The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy

The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy

Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages

Occurrence of physiological browning disorders in stored ‘Braeburn’ apples as influenced by orchard and weather conditions

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