scholarly journals Spectroscopy and Photochemistry of Copper Nitrate Clusters

2021 ◽  
Author(s):  
Tobias F. Pascher ◽  
Milan Ončák ◽  
Christian van der Linde ◽  
Martin K. Beyer
Keyword(s):  
Electronic Structure ◽  
Gas Phase ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Copper Nitrate ◽  
Copper Salt ◽  
Cluster Anions ◽  
Insight Into

The investigation of copper nitrate cluster anions Cu(II)n(NO3)2n+1–, n ≤ 4, in the gas phase using ultraviolet/visible/near-infrared (UV/Vis/NIR) spectroscopy provides detailed insight into the electronic structure of the copper salt...

scholarly journals Assessment of chicken breast shelf life based on bench-top and portable NIR spectroscopy tools coupled with chemometrics

2020 ◽  
Author(s):  
Ilaria Lanza ◽  
Daniele Conficoni ◽  
Stefania Balzan ◽  
Marco Cullere ◽  
Luca Fasolato ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Shelf Life ◽  
Meat Quality ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Life Assessment ◽  
Chicken Breast ◽  
Portable Devices ◽  
Physicochemical Processes ◽  
Insight Into

Abstract Near-infrared (NIR) spectroscopy is a rapid technique able to assess meat quality even if its capability to determine the shelf life of chicken fresh cuts is still debated, especially for portable devices. The aim of the study was to compare bench-top and portable NIR instruments in discriminating between four chicken breast refrigeration times (RT), coupled with multivariate classifier models. Ninety-six samples were analysed by both NIR tools at 2, 6, 10 and 14 days post-mortem. NIR data were subsequently submitted to partial least squares discriminant analysis (PLS-DA) and canonical discriminant analysis (CDA). The latter was preceded by double feature selection based on Boruta and Stepwise procedures. PLS-DA sorted moderate separation of RT theses, while shelf life assessment was more accurate on application of Stepwise-CDA. Bench-top tool had better performance than portable one, probably because it captured more informative spectral data as shown by the variable importance in projection (VIP) and restricted pool of Stepwise-CDA predictive scores (SPS). NIR tools coupled with a multivariate model provide deep insight into the physicochemical processes occurring during storage. Spectroscopy showed reliable effectiveness to recognise a 7-day shelf life threshold of breasts, suitable for routine at-line application for screening of meat quality.

NIR gas phase spectroscopy – Pressure broadening effects

NIR news ◽  
2018 ◽  
Vol 29 (8) ◽  
pp. 14-18
Author(s):  
Terry R Todd ◽  
Susan J Foulk
Keyword(s):  
Gas Phase ◽  
Near Infrared ◽  
Phase Measurement ◽  
Nir Spectroscopy ◽  
Analysis Tool ◽  
Pressure Broadening ◽  
Short Article ◽  
Phase Measurements ◽  
Measurement And Analysis ◽  
Gas Phase Spectroscopy

Near infrared spectroscopy (NIR) spectroscopy is a routine measurement and analysis tool for both liquid and solid samples in a wide variety of industries and locations, both process and laboratory. Studies in gas phase measurement are not as common, but highlight some of the capabilities of the technique. This short article will review some gas phase measurements of pure materials and look at different pressure broadening effects.

Use of near infrared reflectance (NIR) spectroscopy to investigate the effect of polyethylene glycol (PEG) on changes in leucaena leucocephala and calliandra sp. Incubated in vitro

1995 ◽  
Vol 1995 ◽  
pp. 120-120
Author(s):  
S.J. Lister ◽  
R. Sanderson ◽  
M.S. Dhanoa ◽  
E.M. Gill
Keyword(s):  
Leucaena Leucocephala ◽  
Condensed Tannins ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Difference Spectra ◽  
Near Infrared Reflectance ◽  
Nutritional Characteristics ◽  
The Tropics ◽  
Insight Into

Browse legumes are an important source of fodder for ruminants throughout the tropics. However, the presence of certain anti-nutritive factors may reduce intake and hinder the utilisation of these fodders by livestock and more information relating to their nutritional characteristics is required before they can be utilised effectively. NIR has generally been used as a quantitative tool to predict chemical composition but the use of detailed NIR spectra in qualitative analysis may provide some insight into differences between forages or forages which have been chemically treated. The objective of this work was to use NIR difference spectra to examine two tropical forages legumes, Leucaena and Calliandra, which contain different amounts of condensed tannins and to investigate whether in vitro digestion of the legumes may be enhanced by incubating in the presence of PEG, to counteract some of the anti-nutritive properties associated wim polyphenolics.

Near-infrared C-term MCD spectroscopy of octahedral uranium(v) complexes

2021 ◽  
Author(s):  
Daniel J. Curran ◽  
Gaurab Ganguly ◽  
Yonaton N. Heit ◽  
Nikki J. Wolford ◽  
Stefan G. Minasian ◽  
...  
Keyword(s):  
Electronic Structure ◽  
Near Infrared ◽  
Insight Into

Experimental and theoretical near-infrared C-term MCD spectroscopy as a tool to enable broader insight into electronic structure in U(v) Oh complexes.

scholarly journals Oxygen abundances of zCOSMOS galaxies at z ∼ 1.4 based on five lines and implications for the fundamental metallicity relation

2014 ◽  
Vol 10 (S309) ◽  
pp. 281-282 ◽  
Author(s):  
Christian Maier ◽  
Simon J. Lilly ◽  
Bodo L. Ziegler ◽  
Keyword(s):  
Gas Phase ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Stellar Mass ◽  
Emission Lines ◽  
Star Forming

AbstractA relation between the stellar mass M and the gas-phase metallicity Z of galaxies, the MZR, is observed up to higher redshifts. It is a matter of debate, however, if the SFR is a second parameter in the MZR. To explore this issue at z > 1, we used VLT-SINFONI near-infrared (NIR) spectroscopy of eight zCOSMOS galaxies at 1.3 < z < 1.4 to measure the strengths of four emission lines: Hβ, [OIII]λ5007, Hα, and [NII]λ6584, additional to [OII]λ3727 measured from VIMOS. We derive reliable O/H metallicities based on five lines, and also SFRs from extinction corrected Hα measurements. We find that the MZR of these star-forming galaxies at z ≈ 1.4 is lower than the local SDSS MZR by a factor of three to five, a larger change than reported in the literature using [NII]/Hα-based metallicities from individual and stacked spectra. Correcting N2-based O/Hs using recent results by Newman et al. (2014), also the larger FMOS sample at z ∼ 1.4 of Zahid et al. (2014) shows a similar evolution of the MZR like the zCOSMOS objects. These observations seem also in agreement with a non-evolving FMR using the physically motivated formulation of the FMR from Lilly et al. (2013).

Multi-Site Cr3+ Occupation Related Broadband NIR Luminescence in Cr3+-doped Li3Mg2NbO6

CrystEngComm ◽  
2021 ◽  
Author(s):  
Fen Xiao ◽  
Chengning Xie ◽  
Shikun Xie ◽  
Rongxi Yi ◽  
Huiling Yuan ◽  
...  
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Luminescent Materials ◽  
Optical Source ◽  
Nir Emission ◽  
Nir Luminescence

Broadband near infrared (NIR) luminescent materials have attracted great attention recently for the advance smart optical source of NIR spectroscopy. In this work, a broadband NIR emission from 650 nm...

scholarly journals Histamine Control in Raw and Processed Tuna: A Rapid Tool Based on NIR Spectroscopy

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 885
Author(s):  
Sergio Ghidini ◽  
Luca Maria Chiesa ◽  
Sara Panseri ◽  
Maria Olga Varrà ◽  
Adriana Ianieri ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Tuna Fish ◽  
Mean Square Errors

The present study was designed to investigate whether near infrared (NIR) spectroscopy with minimal sample processing could be a suitable technique to rapidly measure histamine levels in raw and processed tuna fish. Calibration models based on orthogonal partial least square regression (OPLSR) were built to predict histamine in the range 10–1000 mg kg−1 using the 1000–2500 nm NIR spectra of artificially-contaminated fish. The two models were then validated using a new set of naturally contaminated samples in which histamine content was determined by conventional high-performance liquid chromatography (HPLC) analysis. As for calibration results, coefficient of determination (r2) > 0.98, root mean square of estimation (RMSEE) ≤ 5 mg kg−1 and root mean square of cross-validation (RMSECV) ≤ 6 mg kg−1 were achieved. Both models were optimal also in the validation stage, showing r2 values > 0.97, root mean square errors of prediction (RMSEP) ≤ 10 mg kg−1 and relative range error (RER) ≥ 25, with better results showed by the model for processed fish. The promising results achieved suggest NIR spectroscopy as an implemental analytical solution in fish industries and markets to effectively determine histamine amounts.

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