Short communication: Prediction of hyperketonemia in dairy cows in early lactation using on-farm cow data and net energy intake by partial least square discriminant analysis

The use of alcohol-based hand sanitizers is recommended as one of several strategies to minimize contamination and spread of the COVID-19 disease. Current reports suggest that the virucidal potential of ethanol occurs at concentrations close to 70%. Traditional methods of verifying the ethanol concentration in such products invite potential errors due to the viscosity of chemical components or may be prohibitively expensive to undertake in large demand. Near infrared (NIR) spectroscopy and chemometrics have already been used for the determination of ethanol in other matrices and present an alternative fast and reliable approach to quality control of alcohol-based hand sanitizers. In this study, a portable NIR spectrometer combined with classification chemometric tools, i.e., partial least square discriminant analysis (PLS–DA) and linear discriminant analysis with successive algorithm projection (SPA–LDA) were used to construct models to identify conforming and non-conforming commercial and laboratory synthesized hand sanitizer samples. Principal component analysis (PCA) was applied in an exploratory data study. Three principal components accounted for 99% of data variance and demonstrate clustering of conforming and non-conforming samples. The PLS–DA and SPA–LDA classification models presented 77 and 100% of accuracy in cross/internal validation respectively and 100% of accuracy in the classification of test samples. A total of 43% commercial samples evaluated using the PLS–DA and SPA–LDA presented ethanol content non-conforming for hand sanitizer gel. These results indicate that use of NIR spectroscopy and chemometrics is a promising strategy, yielding a method that is fast, portable, and reliable for discrimination of alcohol-based hand sanitizers with respect to conforming and non-conforming ethanol concentrations.

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Identification and Quantification of Metamizole in Traditional Herbal Medicines using Spectroscopy FTIR-ATR combined with Chemometrics

Research Journal of Pharmacy and Technology ◽

10.52711/0974-360x.2021.00766 ◽

2021 ◽

pp. 4413-4419

Author(s):

Dharmastuti Cahya Fatmarahmi ◽

Ratna Asmah Susidarti ◽

Respati Tri Swasono ◽

Abdul Rohman

Keyword(s):

Discriminant Analysis ◽

Herbal Medicine ◽

Ftir Spectroscopy ◽

Herbal Medicines ◽

Principal Component ◽

Attenuated Total Reflection ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Precision Data

The study aims to develop an effective, efficient, and reliable method using Fourier Transform Infrared (FTIR) spectroscopy with Attenuated Total Reflection (ATR) combined with chemometric for identifying the synthetic drug in Indonesian herbal medicine known as Jamu. Jamu powders, Metamizole, and the binary mixture of Jamu and Metamizole were measured using FTIR-ATR at the mid-infrared region (4000-650 cm-1). The obtained spectra profiles were further analyzed by Principal Component Analysis, Partial Least Square Regression, Principal Component Regression, and Discriminant Analysis. Jamu Pegel Linu (JPL), Jamu Encok (JE), Jamu Sakit Pinggang (JSP), Metamizole (M), and adulterated Jamu by Metamizole were discriminated well on PCA score plot. PLSR and PCR showed the accuracy and precision data to quantify JPL, JE, and JSP, and each adulterated by M with R2 value > 0,995 and low value of RMSEC and RMSEP. Discriminant Analysis (DA) was successfully grouping Jamu and Metamizole without any misclassification. A combination of FTIR spectroscopy and chemometrics offered useful tools for detecting Metamizole in traditional herbal medicine.

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EFFECTS OF CORRECTING FOR FEEDING LEVELS ON ESTIMATES OF GENETIC PARAMETERS OF MILK YIELD AND COMPOSITION

Canadian Journal of Animal Science ◽

10.4141/cjas76-064 ◽

1976 ◽

Vol 56 (3) ◽

pp. 523-529 ◽

Cited By ~ 3

Author(s):

A. K. W. TONG ◽

B. W. KENNEDY ◽

J. E. MOXLEY

Keyword(s):

Energy Intake ◽

Milk Fat ◽

Genetic Parameters ◽

Genetic Relationships ◽

Protein Yield ◽

Net Energy ◽

Yield Traits ◽

Genetic And Phenotypic Correlations ◽

Net Energy Intake ◽

Quadratic Effects

A total of 13,561 Holstein 305-day lactation records were studied to examine the effects of correcting records for linear and quadratic effects of 305-day net energy intake from silage, hay, pasture and meal feeding on estimates of genetic parameters of milk, fat and protein yield and fat and protein percent. Correcting records for net energy intake reduced variances of yield traits, but had little effect on composition trait variances. When expressed as a percentage of the total variance, the relative importance of sire and sire–herd components were unchanged using corrected records, and heritabilities, except for that of protein yield, were unaltered. Cow components of yield traits were reduced relative to other components after records were corrected for feeding levels. Consequently, repeatabilities were reduced as well, suggesting that a large portion of the permanent environmental effects on yield traits may be of nutritional origin. Genetic and phenotypic correlations between yield traits were also reduced appreciably after records were corrected for feed intake. Genetic relationships between milk, fat and protein yield may not be as great as commonly believed.

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Authentication of geographical origin of palm oil by chromatographic fingerprinting of triacylglycerols and partial least square-discriminant analysis

Talanta ◽

10.1016/j.talanta.2013.07.054 ◽

2013 ◽

Vol 116 ◽

pp. 788-793 ◽

Cited By ~ 27

Author(s):

Cristina Ruiz-Samblás ◽

Cristina Arrebola-Pascual ◽

Alba Tres ◽

Saskia van Ruth ◽

Luis Cuadros-Rodríguez

Keyword(s):

Discriminant Analysis ◽

Palm Oil ◽

Geographical Origin ◽

Partial Least Square ◽

Least Square ◽

Chromatographic Fingerprinting

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Short communication: Effects of body fat mobilization on macrophage infiltration in adipose tissue of early lactation dairy cows

Journal of Dairy Science ◽

10.3168/jds.2017-14318 ◽

2018 ◽

Vol 101 (8) ◽

pp. 7608-7613 ◽

Cited By ~ 6

Author(s):

Jenne De Koster ◽

Clarissa Strieder-Barboza ◽

Jonas de Souza ◽

Adam L. Lock ◽

G. Andres Contreras

Keyword(s):

Adipose Tissue ◽

Dairy Cows ◽

Body Fat ◽

Short Communication ◽

Macrophage Infiltration ◽

Early Lactation ◽

Fat Mobilization ◽

Communication Effects

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Short communication: Effect of dietary phosphorus deprivation in late gestation and early lactation on the calcium homeostasis of periparturient dairy cows

Journal of Dairy Science ◽

10.3168/jds.2018-14642 ◽

2018 ◽

Vol 101 (10) ◽

pp. 9591-9598 ◽

Cited By ~ 10

Author(s):

I. Cohrs ◽

M.R. Wilkens ◽

W. Grünberg

Keyword(s):

Dairy Cows ◽

Calcium Homeostasis ◽

Short Communication ◽

Late Gestation ◽

Early Lactation ◽

Dietary Phosphorus ◽

Phosphorus Deprivation ◽

Communication Effect

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Near-Infrared Spectroscopy for Discrimination of Charcoal from Eucalyptus and Native Cerrado Species—Contribution to a Database for Forestry Supervision

Forest Science ◽

10.1093/forsci/fxab015 ◽

2021 ◽

Author(s):

Silvana Nisgoski ◽

Thaís A P Gonçalves ◽

Júlia Sonsin-Oliveira ◽

Adriano W Ballarin ◽

Graciela I B Muñiz

Keyword(s):

Infrared Spectroscopy ◽

Discriminant Analysis ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

New Technologies ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Eucalyptus Species ◽

Linear Discriminant

Abstract The illegal charcoal trade is an internationally well-known forest crime. In Brazil, government agents try to control it using the document of forest origin (DOF). To confirm a load’s legality, the agents must compare it with the declared content of the DOF. However, to identify charcoal is difficult even for specialists in wood anatomy. Hence, new technologies would facilitate the agents’ work. Near-infrared spectroscopy (NIR) provides a rapid and precise response to differentiate carbonized species. Considering the rich Brazilian flora, NIR studies are still underdeveloped. Our work aimed to differentiate charcoals of seven eucalypts and 10 Cerrado species based on NIR analysis and to add information to a charcoal database. Data were collected with a spectrophotometer in reflectance mode. Partial least square regression with discriminant analysis (PLS-DA) and a linear discriminant analysis (LDA) was applied to confirm the performance and potential of NIR spectra to distinguish native Cerrado species from eucalyptus species. Wavenumbers from 4,000 to 6,000 cm−1 and transversal surface presented the best results. NIR had the potential to distinguish eucalypt charcoals from Cerrado species and in comparison to reference samples. NIR is a potential tool for forestry supervision to guarantee the sustainability of the charcoal supply in Brazil and countries with similar conditions. Study Implications It is a challenge to protect the Cerrado biome against deforestation for charcoal production. The application of new technologies such as near-infrared spectroscopy (NIR) for charcoal identification might improve the work of government agents. In this article, we studied the spectra of Cerrado and eucalypt species. Our results present good separation between the analyzed groups. The main goal is to develop a reliable NIR database that would be useful in the practical work of agents. The database will be available for all control agencies, and future training will be done for a rapid initial evaluation in the field.

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Local Linear Logistic Discriminant Analysis with Partial Least Square Components

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/11811305_64 ◽

2006 ◽

pp. 574-581 ◽

Cited By ~ 2

Author(s):

Jangsun Baek ◽

Young Sook Son

Keyword(s):

Discriminant Analysis ◽

Partial Least Square ◽

Least Square ◽

Local Linear

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