AIMC Topic: Spectroscopy, Near-Infrared

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Advanced data-driven interpretable analysis for predicting resistant starch content in rice using NIR spectroscopy.

Food chemistry
Resistant starch (RS) is a vital dietary component with notable health benefits, but tradition quantification methods are labor-intensive, costly, and unsuitable for large-scale applications. This study introduced an innovative data-driven framework ...

Online detection of Q-marker concentrations in the Xuefu Zhuyu oral liquid extraction process using a multi-source cross-scale NIR attention fusion neural network.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Near-infrared (NIR) spectroscopy, a pivotal tool within process analytical technology (PAT), offers significant potential for real-time monitoring of quality marker (Q-Marker) concentrations in traditional Chinese medicine (TCM) extracts to ensure ba...

Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.

Science & justice : journal of the Forensic Science Society
Forensic casework and crime scene examination will often involve the identification and analysis of biological evidence found on a wide variety of surfaces. One type of biological evidence most commonly encountered at the crime scene is body fluids, ...

Spectroscopic techniques combined with chemometrics for rapid detection of food adulteration: Applications, perspectives, and challenges.

Food research international (Ottawa, Ont.)
Food adulteration is an important threat to food safety and can be difficult to detect. Some analytical methods are complex and difficult to meet the needs of large numbers of samples. In this study, we introduced the application of six spectroscopic...

Non-destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence.

Journal of the science of food and agriculture
BACKGROUND: Eggshell strength is crucial for ensuring high-quality eggs, reducing breakage during handling, and meeting consumer expectations for freshness and integrity. Conventional methods of eggshell strength measurement are often destructive, ti...

Improved performance of fNIRS-BCI by stacking of deep learning-derived frequency domain features.

PloS one
The functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) systems recognize patterns in brain signals and generate control commands, thereby enabling individuals with motor disabilities to regain autonomy. In this study han...

Recognition of beef aging time using a miniaturized near-infrared spectrometer in tandem with support vector machine.

Food chemistry
Consumers increasingly demand sustainable production practices and high-quality standards. Near-infrared (NIR) spectroscopy presents a non-invasive and efficient tool for addressing these concerns. This study aimed to evaluate vacuum-aged beef across...

Quantitative detection of serum biochemical indexes via UV-Vis-NIRS combined with deep neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
To achieve rapid, cost-efficient, convenient and accurate detection of five clinical serum biochemical indexes, namely glucose (GLU), triglycerides (TG), total cholesterol (TC), total protein (TP) and albumin (ALB), ultraviolet-visible-near infrared ...

Intermediate data fusion improves the accuracy of near-infrared spectroscopy and Raman spectroscopy for the detection of aflatoxin B1 in peanuts.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
This study developed a convolutional neural network (CNN) model based on feature-level data fusion for quantitatively detecting aflatoxin B1 (AFB1) in peanuts. Using a portable near-infrared (NIR) spectrometer and a Raman spectrometer, NIR and Raman ...

A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging.

Sensors (Basel, Switzerland)
The early detection of breast cancer, particularly in dense breast tissues, faces significant challenges with traditional imaging techniques such as mammography. This study utilizes a Near-infrared Scan (NIRscan) probe and an advanced convolutional n...