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isiscan nova 2022 software (Foss Analytical)

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Foss Analytical isiscan nova 2022 software
Isiscan Nova 2022 Software, supplied by Foss Analytical, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nova+software/2+3+85+infrasoft+international+isiscan+software+version/pm42122473-84-5-9
Average 86 stars, based on 1 article reviews

isiscan nova 2022 software - by Bioz Stars, 2026-11

86/100 stars

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Article Title: NIRS technology for fast authentication of vacuum-packed sliced Iberian ham.
Article Snippet: The resulting spectral data were processed using ISIscan Nova software (FOSS Analytical A/S, Hillerød, Denmark).

Software:

Article Title: Comparative Evaluation of Portable and Benchtop NIR Spectroscopy and Hyperspectral Imaging for Detecting Honey Adulteration.
Article Snippet: .. Spectral acquisition was performed using ISIscan NOVA 2022 software (FOSS Analytical A/S, Hillerød, Denmark). ..

Article Title: Assessing changes in carbon stocks of Scottish soils: lessons learnt
Article Snippet: NIR spectra of the <2 mm soil fraction (that is, the dried and sieved soil from the cores taken to determine bulk density and from the archived soil) were recorded from 1100 – 2500 nm at 2 nm intervals on a FOSS NIRS Systems 5000 spectrophotometer (FOSS NIRSystems, Silver Springs, MD, USA), using a transport module sampling attachment and a quarter cup sample holder. .. Reflectance mode spectra were collected using Infrasoft International ISIscan Software, Version 2.85.3 (FOSS Analytical AB, Hoganas, Sweden). .. Infrasoft International WINISI III Software, Version 1.50 E (FOSS Tecator AB, Hoganas, Sweden), was used for the development of calibration equations to predict the unknown bulk densities for the 1978-88 samples as well as predicting bulk densities for the 2007-9 soil samples A total of 663 samples had measured bulk densities which were then correlated with the full spectrum of the NIR spectral data to develop an initial equation.

Article Title: Development of prediction models for high throughput phenotyping of protein and essential amino acids content in rice grain using the near infrared reflectance spectroscopy
Article Snippet: Due to polygenic nature of grain protein and essential amino acids, a high throughput methodology is required for identification of desired segregants and improvement of rice simultaneously for protein quality and quantity in a cost-effective way.. Data from chemical analysis of samples of 150 rice genotypes with a substantially wide range were used here to develop prediction models for high-throughput estimation of grain protein content (GPC) and essential amino acids (EAA) content using near-infrared spectroscopy (NIRS).. Various mathematical pretreatments were employed under modified partial least squares(mPLS) models to ascertain the optimal mathematical equation for prediction based on the lowest standard error of cross-validation, the highest 1-VER (1minus variance ratio), the highest coefficient of determination (RSQ) and the lowest standard error of calibration (SEC).

Spectroscopy:

Article Title: Breeding and genetic improvement of spelt wheat (Triticum spelta) by interspecific hybridization
Article Snippet: .. Quality indicators (protein and gluten content, flour strength, grain hardness) were determined by the infrared spectroscopy method using the InfratecTM Nova device (FOSS Analytical, Sweden). ..