Determination of pectin content in orange peels by near infrared hyperspectral imaging

Badaró, Amanda Teixeira; García‐Martín, Juan Francisco; López‐Barrera, María del Carmen; Barbin, Douglas Fernandes; Mateos, Paloma Álvarez

doi:10.1016/j.foodchem.2020.126861

Cited by 59 publications

(35 citation statements)

References 21 publications

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“…Badaró et al (2020) used the PCA loading plots to successfully identify the wavelength with the most signicant contribution in building their determination model of pectin content. 31 As shown in Fig. 5, the rst PCA loading vectors, which corresponded to the rst components, contained almost 96% of the original information.…”

Section: Spectroscopy Analysismentioning

confidence: 93%

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning

Yang

Chen

et al. 2020

RSC Adv.

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Section: Spectroscopy Analysismentioning

confidence: 93%

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning

Yang

Chen

et al. 2020

RSC Adv.

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“…Most of the industrial applications of NIR-HSI are related to the agro-food industries. These industries have taken advantage of the chemical imaging capabilities of NIR-HSI, as well as the versatility of its instrumentation to be implemented in the production lines as a monitoring tool for the safety and quality assessment of agro-food products ( Badaró et al, 2020 ; Dale et al, 2013 ; Fox and Manley, 2014 ; Serranti et al, 2013 ; Yuan et al, 2020 ). Nevertheless, the pharmaceutical sector, minerals, plastics’ recycling and plastic converting industries, have found in the NIR-HSI a valuable monitoring technology ( Bonifazi et al, 2020 ; Bøtker et al, 2020 ; Dalm et al, 2015 ; Moroni and Mei, 2020 ; Schropp et al, 2013 ; Stiefenhöfer, 2020 ; Wu et al, 2020 ).…”

Section: Current Photonic Techniques Applied For Monitoring Of Plasticsmentioning

confidence: 99%

Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling

et al. 2021

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In the increasingly pressing context of improving recycling, optical technologies present a broad potential to support the adequate sorting of plastics. Nevertheless, the commercially available solutions (for example, employing near-infrared spectroscopy) generally focus on identifying mono-materials of a few selected types which currently have a market-interest as secondary materials. Current progress in photonic sciences together with advanced data analysis, such as artificial intelligence, enable bridging practical challenges previously not feasible, for example in terms of classifying more complex materials. In the present paper, the different techniques are initially reviewed based on their main characteristics. Then, based on academic literature, their suitability for monitoring the composition of multi-materials, such as different types of multi-layered packaging and fibre-reinforced polymer composites as well as black plastics used in the motor vehicle industry, is discussed. Finally, some commercial systems with applications in those sectors are also presented. This review mainly focuses on the materials identification step (taking place after waste collection and before sorting and reprocessing) but in outlook, further insights on sorting are given as well as future prospects which can contribute to increasing the circularity of the plastic composites’ value chains.

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“…The sample can then be analyzed according to the transmitted or reflected light. NIR spectroscopy has been widely used in the agriculture [ 39 , 40 , 41 , 42 ], food [ 43 , 44 , 45 , 46 ], chemistry [ 47 , 48 , 49 ], and pharmaceutical fields [ 50 , 51 , 52 , 53 ] because it is fast, accurate, nondestructive and labor-saving. However, a limitation of this method is that the spectra are composed of wide overlapping bands [ 54 , 55 ], such that it is difficult to find specific peaks attributed to the complicated component.…”

Section: Nir Spectroscopymentioning

confidence: 99%

Vibrational Spectroscopy in Assessment of Early Osteoarthritis—A Narrative Review

Chen

Zhao

et al. 2021

IJMS

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Osteoarthritis (OA) is a degenerative disease, and there is currently no effective medicine to cure it. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. Therefore, it is necessary to diagnose OA at an early stage. There are various diagnostic methods for OA, but the methods applied to early diagnosis are limited. Ordinary optical diagnosis is confined to the surface, while laboratory tests, such as rheumatoid factor inspection and physical arthritis checks, are too trivial or time-consuming. Evidently, there is an urgent need to develop a rapid nondestructive detection method for the early diagnosis of OA. Vibrational spectroscopy is a rapid and nondestructive technique that has attracted much attention. In this review, near-infrared (NIR), infrared, (IR) and Raman spectroscopy were introduced to show their potential in early OA diagnosis. The basic principles were discussed first, and then the research progress to date was discussed, as well as its limitations and the direction of development. Finally, all methods were compared, and vibrational spectroscopy was demonstrated that it could be used as a promising tool for early OA diagnosis. This review provides theoretical support for the application and development of vibrational spectroscopy technology in OA diagnosis, providing a new strategy for the nondestructive and rapid diagnosis of arthritis and promoting the development and clinical application of a component-based molecular spectrum detection technology.

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Determination of pectin content in orange peels by near infrared hyperspectral imaging

Cited by 59 publications

References 21 publications

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning

Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling

Vibrational Spectroscopy in Assessment of Early Osteoarthritis—A Narrative Review

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