ArticleFoods (Basel, Switzerland)2020
Rapid Analysis of Milk Using Low-Cost Pocket-Size NIR Spectrometers and Multivariate Analysis.
Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
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Who cites it
18 citing papers in PubMed.
- XAI-Supported Electronic Tongue for Estimating Milk Composition and Adulteration Indicators.Biosensors · 2026Article
- New Developments and Future Challenges of Non-Destructive Near-Infrared Spectroscopy Sensors in the Cheese Industry.Sensors (Basel, Switzerland) · 2026Review
- Assessing Risks and Innovating Traceability in Campania's Illegal Mussel Sale: A One Health Perspective.Foods (Basel, Switzerland) · 2025Article
- An Inexpensive AI-Powered IoT Sensor for Continuous Farm-to-Factory Milk Quality Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Article
- The Role of Near-Infrared Spectroscopy in Food Quality Assurance: A Review of the Past Two Decades.Foods (Basel, Switzerland) · 2024Review
- Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster-Support Vector Machine (VC-SVM) Hybrid Models.Foods (Basel, Switzerland) · 2024Article
- Portable NIR spectroscopy: the route to green analytical chemistry.Frontiers in chemistry · 2023Review
- Instant quantification of sugars in milk tablets using near-infrared spectroscopy and chemometric tools.Scientific reports · 2022Article
- Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications.Foods (Basel, Switzerland) · 2022Article
- Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives.Foods (Basel, Switzerland) · 2022Review
- Predicting starch content in cassava fresh roots using near-infrared spectroscopy.Frontiers in plant science · 2022Article
- Handheld Devices for Food Authentication and Their Applications: A Review.Foods (Basel, Switzerland) · 2021Review
- Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments.Foods (Basel, Switzerland) · 2021Article
- Insect Protein Content Analysis in Handcrafted Fitness Bars by NIR Spectroscopy. Gaussian Process Regression and Data Fusion for Performance Enhancement of Miniaturized Cost-Effective Consumer-Grade Sensors.Molecules (Basel, Switzerland) · 2021Article
- Recent Advances in Portable and Handheld NIR Spectrometers and Applications in Milk, Cheese and Dairy Powders.Foods (Basel, Switzerland) · 2021Review
- Application of Spectrometric Technologies in the Monitoring and Control of Foods and Beverages.Foods (Basel, Switzerland) · 2021Article
- QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs.Sensors (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The miniaturisation of analytical devices, reduction of analytical data acquisition time, or the reduction of waste generation throughout the analytical process are important requirements of modern analytical chemistry, and in particular of green analytical chemistry. Green analytical chemistry has fostered the development of a new generation of miniaturized near-infrared spectroscopy (NIR) spectrometric systems. However, one of the drawbacks of these systems is the need for a compromise between the performance parameters (accuracy and sensitivity) and the aforementioned requirements of green analytical chemistry. In this paper, we evaluated the capabilities of two recently developed portable NIR instruments (SCiO and NeoSpectra) to achieve a rapid, simple and low-cost quantitative determination of commercial milk macronutrients. Commercial milk samples from Italy, Switzerland and Spain were chosen, covering the maximum range of variability in protein, carbohydrate and fat content, and multivariate calibration was used to correlate the recorded spectra with the macronutrient content of milk. Both SCiO and NeoSpectra can provide a fast and reliable analysis of fats in commercial milk, and they are able to correctly classify milk according to fat level. SCiO can also provide predictions of protein content and classification according to presence or absence of lactose.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.