Visible-Near Infrared Spectral Sensing Coupled with Chemometric Analysis as a Method for on-line Prediction of Milled Biomass Composition Pre-Pelletising

2012 ◽  
Vol 20 (3) ◽  
pp. 361-369 ◽  
Author(s):  
Colm D. Everard ◽  
Colette C. Fagan ◽  
Kevin P. McDonnell
Keyword(s):  
Near Infrared ◽  
Chemometric Analysis ◽  
Biomass Composition ◽  
Infrared Spectral ◽  
On Line ◽  
Spectral Sensing

Chemometric analysis for near-infrared spectral detection of beef in fish meal

2015 ◽  
Author(s):  
Chun-Chieh Yang ◽  
Cristóbal Garrido-Novell ◽  
Dolores Pérez-Marín ◽  
José E. Guerrero-Ginel ◽  
Ana Garrido-Varo ◽  
...  
Keyword(s):  
Near Infrared ◽  
Fish Meal ◽  
Chemometric Analysis ◽  
Infrared Spectral ◽  
Spectral Detection

scholarly journals Integrated near-infrared spectral sensing

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Kaylee D. Hakkel ◽  
Maurangelo Petruzzella ◽  
Fang Ou ◽  
Anne van Klinken ◽  
Francesco Pagliano ◽  
...  
Keyword(s):  
Near Infrared ◽  
Prediction Models ◽  
Spectral Response ◽  
Resonant Cavity ◽  
Industrial Process ◽  
Chemical Information ◽  
Minimal Size ◽  
Spectral Reconstruction ◽  
Infrared Spectral ◽  
Spectral Sensing

AbstractSpectral sensing is increasingly used in applications ranging from industrial process monitoring to agriculture. Sensing is usually performed by measuring reflected or transmitted light with a spectrometer and processing the resulting spectra. However, realizing compact and mass-manufacturable spectrometers is a major challenge, particularly in the infrared spectral region where chemical information is most prominent. Here we propose a different approach to spectral sensing which dramatically simplifies the requirements on the hardware and allows the monolithic integration of the sensors. We use an array of resonant-cavity-enhanced photodetectors, each featuring a distinct spectral response in the 850-1700 nm wavelength range. We show that prediction models can be built directly using the responses of the photodetectors, despite the presence of multiple broad peaks, releasing the need for spectral reconstruction. The large etendue and responsivity allow us to demonstrate the application of an integrated near-infrared spectral sensor in relevant problems, namely milk and plastic sensing. Our results open the way to spectral sensors with minimal size, cost and complexity for industrial and consumer applications.

scholarly journals On-line measurement of soil properties without direct spectral response in near infrared spectral range

2013 ◽  
Vol 132 ◽  
pp. 21-29 ◽  
Author(s):  
Omar Marín-González ◽  
Boyan Kuang ◽  
Mohammed Z. Quraishi ◽  
Miguel Ángel Munóz-García ◽  
Abdul Mounem Mouazen
Keyword(s):  
Soil Properties ◽  
Spectral Range ◽  
Near Infrared ◽  
Spectral Response ◽  
Infrared Spectral Range ◽  
Line Measurement ◽  
Infrared Spectral ◽  
On Line

Metastructures for the Giant Enhancement of Raman Scattering in the Near Infrared Spectral Range

JETP Letters ◽  
2020 ◽  
Vol 112 (1) ◽  
pp. 31-36
Author(s):  
V. I. Kukushkin ◽  
V. E. Kirpichev ◽  
E. N. Morozova ◽  
V. V. Solov’ev ◽  
Ya. V. Fedotova ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Spectral Range ◽  
Near Infrared ◽  
Infrared Spectral Range ◽  
Infrared Spectral

scholarly journals ALD Deposited ZnO:Al Films on Mica for Flexible PDLC Devices

Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1011
Author(s):  
Dimitre Z. Dimitrov ◽  
Zih Fan Chen ◽  
Vera Marinova ◽  
Dimitrina Petrova ◽  
Chih Yao Ho ◽  
...  
Keyword(s):  
Near Infrared ◽  
Atomic Layer ◽  
Optical Transmittance ◽  
Force Microscopy ◽  
Flexible Polymer ◽  
Layer Deposition ◽  
Polymer Dispersed ◽  
Muscovite Mica ◽  
Infrared Spectral ◽  
Continuous Bending

In this work, highly conductive Al-doped ZnO (AZO) films are deposited on transparent and flexible muscovite mica substrates by using the atomic layer deposition (ALD) technique. AZO-mica structures possess high optical transmittance at visible and near-infrared spectral range and retain low electric resistivity, even after continuous bending of up to 800 cycles. Structure performances after bending tests have been supported by atomic force microscopy (AFM) analysis. Based on performed optical and electrical characterizations AZO films on mica are implemented as transparent conductive electrodes in flexible polymer dispersed liquid crystal (PDLC) devices. The measured electro-optical characteristics and response time of the proposed devices reveal the higher potential of AZO-mica for future ITO-free flexible optoelectronic applications.

scholarly journals Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanni Bittante ◽  
Simone Savoia ◽  
Alessio Cecchinato ◽  
Sara Pegolo ◽  
Andrea Albera
Keyword(s):  
Meat Quality ◽  
Genetic Improvement ◽  
Near Infrared ◽  
Infrared Region ◽  
Phenotypic Variance ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Infrared Spectral ◽  
Portable Spectrometers ◽  
Absorbance Spectra

AbstractSpectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle.

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