Fast detection of the tenderness of mulberry leaves by a portable near-infrared spectrometer with variable selection

Article Chemistry, Analytical

Online Inspection of Browning in Yali Pears Using Visible-Near Infrared Spectroscopy and Interpretable Spectrogram-Based CNN Modeling

Yong Hao et al.

Summary: This study conducted online discriminant analysis on healthy Yali pears and those with different degrees of browning using visible-near infrared (Vis-NIR) spectroscopy. The results showed that the prediction accuracy of the original spectrum combined with a 1D-CNN deep learning model reached 100% for the test sets of browned pears and healthy pears. Features extracted by the 1D-CNN method were converted into images by Gramian angular field (GAF) for PCA visual analysis, showing that deep learning had good performance in extracting features. In conclusion, Vis-NIR spectroscopy combined with the 1D-CNN discriminant model can realize online detection of browning in Yali pears.

BIOSENSORS-BASEL (2023)

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Review Chemistry, Analytical

Handheld Near-Infrared Spectroscopy: State-of-the-Art Instrumentation and Applications in Material Identification, Food Authentication, and Environmental Investigations

Hui Yan et al.

Summary: This review article summarizes the rapid development of miniaturized handheld near-infrared spectrometers in the past decade, providing an overview of the current instrument developments and exemplary applications in material and food control, as well as environmental investigations. It addresses the issue of exaggerated claims by some direct-to-consumer companies, which has raised unrealistic expectations and harmed the valuable technology of NIR spectroscopy. The article also highlights potential applications that can enable non-scientifically trained individuals to solve quality control and authentication problems in everyday life using this technology.

CHEMOSENSORS (2023)

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Article Food Science & Technology

Rapid and real-time detection of moisture in black tea during withering using micro-near-infrared spectroscopy

Shuai Shen et al.

Summary: This study developed a moisture prediction model based on Elman neural network (ENN) combined with principal component analysis (PCA) for rapid detection of moisture in withered leaves using miniaturized near-infrared spectroscopy (micro-NIRS) and a smartphone. Experimental results showed that the model has high prediction correlation coefficient and residual predictive deviation, providing a portable, accurate, fast, and non-destructive method for predicting the moisture content of withered leaves.

LWT-FOOD SCIENCE AND TECHNOLOGY (2022)

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Review Food Science & Technology

Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives

Krzysztof B. Bec et al.

Summary: The ongoing miniaturization of NIR spectrometers provides significant benefits in the field of food analysis. Various factors affect the performance of these devices in different analytical scenarios. Systematic evaluation studies are being conducted to assess the accuracy and reliability of miniaturized spectrometers based on different technologies. Advanced calibration methods and quantum-mechanical simulation improve the performance and information gathered from NIR spectra. A data-fusion framework enables intelligent design of future NIR analyses using miniaturized instruments in the complex matrix of food samples.

FOODS (2022)

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Review Chemistry, Multidisciplinary

Principles and Applications of Miniaturized Near-Infrared (NIR) Spectrometers

Krzysztof B. Bec et al.

Summary: In recent years, the technology of miniaturized near-infrared spectrometers has advanced significantly and had a revolutionary impact in various fields. These instruments employ diverse technological solutions, and continuous progress leads to the emergence of new devices in the market. The current focus in analytical NIR spectroscopy is on evaluating the devices and methods, as well as systematically characterizing their performance profiles.

CHEMISTRY-A EUROPEAN JOURNAL (2021)

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Article Instruments & Instrumentation

Theoretical Simulation of Near-Infrared Spectrum of Piperine: Insight into Band Origins and the Features of Regression Models

Justyna Grabska et al.

Summary: The study investigated the near-infrared spectrum of piperine using quantum mechanical calculations and compared the accuracy and computing time of two efficient approaches. The research assigned vibrations and revealed complexity in the piperine spectrum, with the most meaningful contribution from binary combination bands. The sensitivity of different spectrometers to specific piperine vibrations led to differences in predictive performance when analyzing piperine content, with a benchtop spectrometer showing higher selectivity.

APPLIED SPECTROSCOPY (2021)

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Article Chemistry, Analytical