Food and Beverage Analysis

The purpose of this work is to achieve rapid and nondestructive determination of tilapia fillets storage time associated with its freshness. Here, we investigated the potential of hyperspectral imaging (HSI) combined with a convolutional neural network (CNN) in the visible and near-infrared region (vis-NIR or VNIR, 397−1003 nm) and the shortwave near-infrared region (SWNIR or SWIR, 935−1720 nm) for determining tilapia fillets freshness.

Is ICP-MS instrumentation ready to handle the requirements of AOAC Method 2015.01 for the determination of toxic elements in food—including dealing with interferences? We ran this study to check.

Several types of Raman spectroscopy, including Fourier transform (FT)–Raman and dispersive Raman, are well suited to examine and understand the fat compositional heterogeneity in solid foods, identify polymorph or crystallinity, and measure fatty acid saturation.

We propose a theoretical basis using vis-NIR spectroscopy for the development of an online nondestructive testing system for the quality of Nanguo pear fruit.

Software tools for ICP-MS and ICP-OES can help analysts to simplify method setup and reduce the potential for errors.

Meat fraud has emerged as a growing concern globally. The adulteration, substitution, or mislabeling of meat products has resulted in negative economic effects, such as unfair competition in the global marketplace, as well as ethical concerns, because consumers want to know what is in the meat they are consuming. Ismail H. Boyaci of Hacettepe University and his team have explored using laser-induced breakdown spectroscopy (LIBS) for protein-based analysis and the identification of meat species. Spectroscopy recently spoke to Boyaci about this work.

Determining the quality of the food we consume is important not just for reasons of safety, but for verifying authenticity as well. Changmou Xu, a Research Associate Professor at the University of Nebraska-Lincoln (UNL), and his colleagues have been exploring methods for food analysis that are rapid but do not harm the environment or the analysts.

Given that grape seed oil has shown beneficial effects for consumers, there is a interest in measuring oil quality and potential adulteration. This study demonstrates an effective near-infrared (NIR) spectroscopy method, using a series of machine learning approaches for wavelength variable selection, to rapidly discriminate grape seed oil adulteration.

This article covers a portion of the analytical equipment and techniques used in the production of beer across the supply chain.

An increasing number of antibiotic residue problems in food have emerged around the world. We examine how SERS is used to identify antibiotic residues in chicken, focusing on doxycycline hydrochloride and tylosin.

The details of applying deep learning algorithms and FT-IR spectra are described for classification research using the spectra of strawberries as an example.

The authors compare LC–MS/MS methods for quantification of the pesticide glyphosate with and without sample derivatization, and discuss ICP-MS methods for the determination of heavy metals.

QuEChERS is introduced to the discipline of forensic testing as a viable method for the extraction of pesticides and cannabinoids in various complex sample matrices.

This fast, automated method was shown to be accurate and precise for 16 liquid sweeteners, and is likely more accurate than Karl Fischer titration.

This speciation method based on ion-interaction chromatography has a run time of

Given the wide range in polarity of the components of mesquite flour, it is advantageous to study the health benefits of this flour using methods that combine the complementary approaches of reversed-phase and aqueous normal phase LC.

A new methodology for the analysis of three important -dicarbonyls (methylglyoxal, diacetyl, and pentane-2,3-dione) in wines was developed.

Trace toxic and major nutrient elements were measured in a single measurement in a milk powder SRM, with no ionization buffers, using a synchronous dual view ICP-OES. The methodology was in accordance with Chinese method GB 5413.21 for raw milk and dairy products. Excellent recoveries were achieved for all elements determined in the SRM, demonstrating the accuracy of the method over a large dynamic range.

Five arsenic species, including the toxicologically relevant inorganic forms As(III) and As(V), were determined in 4 minutes, with excellent sensitivity, accuracy and precision using an Agilent LC fitted with a reversed phase column coupled to an ICP-MS. Any potential interferences on As such as ArCl+ were removed using a single-cell gas mode (helium mode), speeding up the analysis.

A validated ICP-MS method for the determination of Cr, Se, and Mo in infant formula and adult nutritional products was transferred to a next-generation system. This methodology is potentially suitable as a global reference method for the application, as all samples can be analyzed using a single-cell gas mode (helium mode) that provides effective removal of polyatomic interferences - significantly improving productivity.

A fast and sensitive method using hydride generation (HG) with ICP-MS has been developed for the separation and detection of toxic inorganic arsenic (iAs) in foodstuffs. The iAs measured values in 31 commercial rice products all fell below the current legislative maximum level of 150 µg/kg set by China. Comparing the results obtained by HG-ICP-MS and HPLC-ICP-MS showed comparable limits of detection were achieved.

Safe, low cost MP-AES analysis of total metal content of a plant-based reference material following microwave digestion is presented. Elements that are difficult to analyze by FAAS such as B and P were included, with all data acquired in a single run. Accurate determinations over a wide concentration range and with better detection limits and sample throughput compared to FAAS were obtained.