
While this technology has been frequently deployed in recent years to evaluate fruit quality, relatively few studies have examined such parameters as variation, damage time, and damage degree.

While this technology has been frequently deployed in recent years to evaluate fruit quality, relatively few studies have examined such parameters as variation, damage time, and damage degree.

Researchers from the University of Szczecin and other Polish institutions have applied the power of machine learning, employing various models, to forecast optimal microbial strains for mitigating drought impacts on crops, marking a leap toward sustainable agriculture to ensure global food security.

Exploring the transformative capabilities of handheld Fourier transform infrared (FT-IR) spectrometers, Luis Rodriguez-Saona of The Ohio State University emphasizes their pivotal role in ensuring food integrity and safety across the entire supply chain.

Researchers at the University of Kentucky employ non-destructive hyperspectral imaging and machine learning to predict and manage the physicochemical quality attributes of apples during storage, addressing the impact of codling moth infestation and revolutionizing apple quality assurance.

Dmitry Kurouski of Texas A&M University speaks to Spectroscopy Editor Patrick Lavery about Raman spectroscopy's role in determining crop yield of key food items as the world population continues to increase.

Webinar Date/Time: Tue, Jan 23, 2024 11:00 AM EST

Webinar Date/Time: Wed, Dec 13, 2023 11:00 AM EST

Award recipient John McLean of Vanderbilt University said hybrid techniques do not exist purely as combinations of letters, slashes, and hyphens—they have been built on the shoulders of decades’ worth of analysis intended to refine and simplify workflow.

Webinar Date/Time: Thu, Nov 16, 2023 11:00 AM EST

On Tuesday October 10th from 1:30–3:10 pm, an oral session focusing on chemometrics in food and agriculture will take place. We preview this session here.

Webinar Date/Time: Tue, Oct 17, 2023 11:00 AM EDT

A group of researchers from Beijing Technology and Business University developed a couple extraction algorithms and classification methods that could contribute toward ensuring the quality of wheat flour.

Scientists used laser induced breakdown spectroscopy (LIBS) to analyze the safety of food.

Scientists compared a portable infrared attenuated total reflection spectrometer (ATR) to a conventional ATR Fourier transform infrared (ATR FT-IR) system.

Webinar Date/Time: Tue, Sep 12, 2023 11:00 AM EDT

Webinar Date/Time: Tuesday, July 25th, 2023 Morning session: 9:30am EDT|6:30am PST|3:30pm CET|2:30pm GMT Afternoon session: 2pm EDT|11am PST|8pm CET|7pm GMT Wednesday,July 26th, 2023 Morning session: 9:30am EDT|6:30am PST|3:30pm CET|2:30pm GMT Afternoon session: 2pm EDT|11am PST|8pm CET|7pm GMT

Scientists from multiple institutions have employed advanced techniques to investigate the pigmentation of Vitis vinifera Red Globe grapes. Their findings indicate that cyanidin-3-O-glucoside and peonidin-3-O-glucoside are the primary biomolecules responsible for the vibrant coloration of these grapes.

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.

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.