Literature

The HD Camera/Monitor System enables users to review and capture a sample's microstructure in a laboratory or education setting without the use of eyepieces or a computer.

An overview of basic metallographic principles and procedures including detailed methods and stages of preparation.,

A collection of automated procedures developed in the metallographic laboratory at LECO CORPORATION. The procedures are reproducible but by no means absolute. Variations can and are expected to be tried by individuals processing samples by automated means. These parameters also are useful when manual preparation is being done.

Characterizing and understanding specific chemicals associated with aroma and flavors in a complex sample, like masala, can be beneficial for a wide range of purposes in the food, flavor, and fragrance industry. Among other objectives, detailed chemical information can be used for quality control, process optimization, reverse engineering of desired aroma characteristics, and to better understand a product/sample of interest. This application note demonstrates an easy workflow using statistical tools, and how a single GCxGC-TOFMS method can uncover a broad chemical profile that may be relevant to many unanswered analytical questions.

In this work, we explore the process of food spoilage by tracking the degradation of tomatoes. While this is a specific look at a tomato, an understanding of general food deterioration is important as spoilage impacts the quality and safety of food products and has significant financial implications. Until a process like this is well understood, evaluating the chemical profile and the changes is generally a non-targeted discovery task. For food spoilage, many of the changes that occur will be reflected in the volatile and semi-volatile components of the sample. The aroma profile of the sample itself changes, and chemical markers of microbial activity are also likely to form. GC and TOFMS are well-established techniques for these types of non-targeted characterizations of volatile and semi-volatile analytes and are well-suited for this type of investigation.

LECO Pegasus BT 4D users, Dr. Susanne Kuhn, discusses their GCxGC work.

ChromaTOF-GC is the legacy version of the LECO ChromaTOF® software, previously included with Pegasus® products. Used by industry leaders for over 15 years, ChromaTOF-GC supports GCxGC deconvolution, visualization, and reporting.

• True Signal Deconvolution, Automated Peak Find, and Extended Range Calibration algorithms
• Enhanced graphics for GCxGC users, including the option of displaying peak labels and peak markers on contour and surface plots
• Importable ready-to-use workspace templates for access to preferred user interfaces and reduced set-up times
• Semi-Quantitative Analysis for the reporting of non-calibrated compounds
• Automatic tuning within user-defined quality control methods
• Integrated control of a variety of sample handling options from Gerstel, LEAP, Shimadzu, and Agilent
• Fully-integrated optional environmental report designer
• Customizable user interface
• Automatically export data to PDF, CSV, ANDI MS, NETCDF, or Raw file formats
• Compatibility with LECO's consumable-free GCxGC thermal modulator
• Classification development tools
• Capacity for files up to 4 GB and compatibility with Windows operating systems

This article from Labor Praxis introduces the new CHN828 and describes the advantages resulting from combustion in pure oxygen and the proven aliquot ballast principle. The fast cycle times for CHNS and pure N determination are also described.

List of used optical demo equipment; updated frequently.

Synthesize non-target and quantitative GCxGC workflows with two novel instruments

Oliver Fiehn, PhD. (UC Davis) discusses utilizing open access metabolomics databases for data analysis and comparison. Several database resources are presented.

Chemical profiling of cannabis samples may be useful for predicting therapeutic potential, and has applicability in quality control, product development, and determining regulatory compliance. Non-target analytical methods are well-suited for providing information for complex samples. Note: This chapter can be purchased independently, or may be available with membership to certain institutions.

What you will learn: Characterizing cannabis Terpenes analysis using headspace solid-phase microextraction and GC–MS GC-MS and GCxGC-TOFMS for efficient cannabis testing