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Vendor column: If you aren’t controlling your process, your process is controlling you

Date: Oct 29, 2012

Author: Daniel Shiley

This is the fourth and final segment in the series on near-infrared for the mining industry. Development of quantitative data sets was discussed in the previous article. This article will discuss the finished quantitative model as it can be used to optimize mine productivity.

Read More thumbnail image: Vendor column If you arent controlling your process your process is controlling you

Journal Highlight: Chemometric classification of morphologically similar Umbelliferae medicinal herbs by DART-TOF-MS fingerprint

Date: Oct 15, 2012

Author: spectroscopyNOW

A new chemometric classification method was developed using DART-TOF-MS fingerprinting for Umbelliferae medicinal herbs and to provide a platform for its application to the discrimination of other herbal medicines.

Read More thumbnail image: Journal Highlight Chemometric classification of morphologically similar Umbelliferae medicinal herbs by DART-TOF-MS fingerprint

Herbal assessment: Metal stats

Date: Oct 15, 2012

Author: David Bradley

A statistical analysis of the elemental content of 23 commercial herbal medicines reveals how effective chemometric tools can be in studying such products.

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Vendor Column: Unlocking Organizational Knowledge with Scientific Search

Date: Oct 4, 2012

Author: Chris Stumpf

In this sixth and final column in a series of features, Waters Corporation's Chris Stumpf, and his colleague Paul van Eikeren, discuss the various search strategies one can employ to extract the cogent scientific information.

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Journal Highlight: Chemometric analysis for the detection of biogenic amines in Chilean cabernet sauvignon wines: A comparative study between organic and ionorganic production

Date: Sep 17, 2012

Author: spectroscopyNOW

The presence of biogenic amines was correlated with the type of wine grape culture (traditional or organic) and their concentration in the different stages of winemaking.

Read More thumbnail image: Journal Highlight Chemometric analysis for the detection of biogenic amines in Chilean cabernet sauvignon wines A comparative study between organic and ionorganic production

Chemometric Coffee

Date: Sep 15, 2012

Author: David Bradley

An informatics approach to coffee that uses a least-squares analysis of near-infrared spectroscopic data could allow coffee roasters to treat their green beans perfectly every time.

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Vendor Column: Improving Laboratory Operations with Standardized Informatics Solutions

Date: Aug 21, 2012

Author: Chris Stumpf

Welcome to this fifth in a series of features, in which Waters Corporation's Chris Stumpf focuses on Lab Informatics. Every two months, Chris publishes a new informatics-related article which we hope will build into a worthwhile compendium of informatics material. This month, Chris argues that a laboratory dashboard-style 'business intelligence' approach is the best way forward for the efficient operation of a busy lab, especially when being used by multiple research groups.

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Journal Highlight: Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds

Date: Aug 20, 2012

Author: spectroscopyNOW

Atom-based bilinear indices and linear discriminant analysis have been used to discover novel pro-lead trypanosomicidal compounds.

Read More thumbnail image: Journal Highlight Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds

Printing to the limit: Nanotech resolution

Date: Aug 15, 2012

Author: David Bradley

A research team in Singapore has used nanotechnology to take the concept of printing into a whole new area allowing them to create sharp, full-colour images at an astounding 100,000 dots-per-inch resolution using metal-laced nanostructures rather than conventional inks or dyes.

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Vendor column: Creation of a quantitative data set

Date: Aug 6, 2012

Author: Daniel Shiley

This is the third of a four-part series on chemometric applications for materials analysis. In this article, Dan Shiley from ASD Inc., discusses quantitative prediction models and their application in mineral analysis.

Read More thumbnail image: Vendor column Creation of a quantitative data set
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