ReviewSensors (Basel, Switzerland)2017
Smartphone-Based Food Diagnostic Technologies: A Review.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed.
- Meat Freshness Monitoring in the Modern Supply Chain: Analytical Advances, Smart Packaging, and Digital Integration.Food science & nutrition · 2026Review
- Portable Sensing Systems in Biological and Chemical Analyses: A Review of Sensor Technologies, Miniaturized Platforms, Data Processing, and Field Applications.Micromachines · 2026Review
- Advances in fluorescence-based point-of-care diagnostics: probes, nanostructures and integrated systems.Journal of materials chemistry. C · 2026Review
- Advances and strategies in biosensor-based diagnostics for parasitic infections: a comprehensive scoping review.Parasitology research · 2026Article
- Intelligent quantification of formaldehyde in aquatic product soaking solutions via a novel deep regression framework.Frontiers in nutrition · 2026Article
- Article
- Attention-enhanced residual autoencoder for NIR spectral feature extraction and classification of grain varieties.Scientific reports · 2025Article
- Microfluidic Sensors Integrated with Smartphones for Applications in Forensics, Agriculture, and Environmental Monitoring.Micromachines · 2025Review
- Toward a User-Accessible Spectroscopic Sensing Platform for Beverage Recognition Through K-Nearest Neighbors Algorithm.Sensors (Basel, Switzerland) · 2025Article
- A modular fluorescent camera unit for wound imaging.Communications biology · 2025Article
- Bio-nanoparticles sensor couple with smartphone digital image colorimetry and dispersive liquid-liquid microextraction for aflatoxin B1 detection.Scientific reports · 2025Article
- Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Spectraformer: deep learning model for grain spectral qualitative analysis based on transformer structure.RSC advances · 2024Article
- Optical fiber speckle spectrometer based on reversed-lens smartphone microscope.Scientific reports · 2023Article
- Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review.Foods (Basel, Switzerland) · 2023Review
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Luminescent Guests Encapsulated in Metal-Organic Frameworks for Portable Fluorescence Sensor and Visual Detection Applications: A Review.Biosensors · 2023Review
- Machine Learning-Based Analytical Systems: Food Forensics.ACS omega · 2022Review
- Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications.Foods (Basel, Switzerland) · 2022Article
- Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification.Sensors (Basel, Switzerland) · 2022Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities. These devices typically comprise multiple components such as detectors, sample processors, disposable chips, batteries and software, which are integrated with a commercial smartphone. One of the most important aspects of developing these systems is the integration of these components onto a compact and lightweight platform that requires minimal power. To date, researchers have demonstrated several promising approaches employing various sensing techniques and device configurations. We aim to provide a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses. We have also extended the analysis to the food scanning devices that are increasingly populating the Internet of Things (IoT) market, demonstrating how this field is indeed promising, as the research outputs are quickly capitalized on new start-up companies.
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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.