Researchers have conducted a preliminary study on the potential use of near-infrared (NIR) and Raman spectroscopy for predicting ice cream mix viscosity. The study highlights the promising performance of NIR spectroscopy and serves as a starting point for further investigations into in situ application of these analytical tools in the ice cream manufacturing process.
Researchers have developed a near-infrared fluorescent probe that allows for highly sensitive detection of butyrylcholinesterase activity and pesticide residue in food samples. The probe offers a ratiometric pattern and shows promise for applications in health evaluation, disease diagnosis, and environmental monitoring.
Webcasts
Webinar Date/Time: Tuesday, June 6th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST Tuesday, June 6th, 2023 at 2pm EDT | 11am PDT | 1pm BST | 5pm CEST Wednesday, June 7th, 2023 at 12pm JST | 11am CST | 1pm AEST
Researchers have developed a rapid and accurate method combining front-face excitation-emission matrix fluorescence spectroscopy and interpretable deep learning to identify the storage year of Ningxia wolfberry, offering a green solution to combat fraudulent practices in the market.
A new study explores the compositional changes of organic matter in torrefied olive mill pomace compost using infrared spectroscopy and chemometrics.
Terahertz time-domain spectroscopy was used to identify and analyze the low-frequency vibrational modes of three free anthraquinones, revealing the vibrational contributions of different atoms and groups.
Researchers have developed a method for the simultaneous determination of cadmium and lead in water samples using microwave-induced plasma optical emission spectrometry with multiwalled carbon nanotubes pre-concentration and a discrete sample introduction system.
New research presents a fast and sensitive method for the simultaneous determination of zinc and iron in vegetables and plant material using HR-CS GF-AAS.
Lead contamination in drinking water remains a public health concern, and a new RE-LIBS-LIF method can help detect trace amounts of lead in drinking water, which will have positive implications for human health.
The relationship between leaf nitrogen content (LNC) and hyperspectral remote sensing imagery (HYP) was determined to construct an estimation model of the LNC of drip-irrigated sugar beets, to enable real-time monitoring of sugar beet growth and nitrogen management in arid areas.
Webcasts
Webinar Date/Time: Tue, Apr 4, 2023 1:00 PM EDT
Although milk is considered among the most complete and nutrition-rich natural foods, the concentration of vitamins and minerals in milk can vary depending on a variety of circumstances. Stelios Couris of the University of Patras and the Foundation for Research and Technology-Hellas (Patras, Greece) has been studying the inorganic elemental composition of a variety of milk samples using LIBS and spoke to Spectroscopy about this research.
Webcast
Webinar Date/Time: Tuesday, February 28 and Wednesday, March 1, 2023 Morning Session: 9 am EST | 6 am PST | 3 pm CET | 2 pm GMT Afternoon Session: 2 pm EST | 11 am PST | 8 pm CET | 7 pm GMT
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.
Special Issues
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.
