{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T19:07:00Z","timestamp":1789499220239,"version":"build-2803163510"},"reference-count":118,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007198","name":"Shanghai Academy of Agricultural Sciences","doi-asserted-by":"publisher","award":["NKYJ2026 (09)"],"award-info":[{"award-number":["NKYJ2026 (09)"]}],"id":[{"id":"10.13039\/501100007198","id-type":"DOI","asserted-by":"publisher"}]},{"award":["NKYJ2026 (09)"],"award-info":[{"award-number":["NKYJ2026 (09)"]}],"id":[{"id":"https:\/\/ror.org\/04ejmmq75","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Foods"],"abstract":"<jats:p>Food freshness is critical to ensuring food safety, minimizing food waste, and improving industrial efficiency. Traditional sensory evaluation and laboratory-based detection methods suffer from inherent limitations, including strong subjectivity, time-consuming procedures, and destructive sampling, which make it difficult to meet the requirements of modern supply chains for rapid, non-destructive, and real-time monitoring. This review comprehensively summarizes the mainstream research directions and recent advances in food freshness monitoring technologies across three complementary directions: (1) biomimetic or instrumental systems based on digital identification of food odors, tastes, and appearance characteristics, including electronic noses, electronic tongues, and machine vision technology; (2) biosensor-based technologies for ultrasensitive recognition of specific biomolecules (metabolites, proteins, and nucleic acids); (3) spectroscopic and imaging techniques for \u201cfingerprint\u201d capture and quantitative analysis of internal components. In addition, the preparation principles, instrumentation, and applications are stated in each section, along with critical performance aspects such as stability and anti-interference capability in complex matrices. We hope this review can provide a comprehensive understanding of sustainable and real-time food quality control for the advancement of food freshness assessment.<\/jats:p>","DOI":"10.3390\/foods15183263","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:23:53Z","timestamp":1789496633000},"page":"3263","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Advancing Analytical Technologies for Rapid Food Freshness Detection: A Comprehensive Review"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4615-1133","authenticated-orcid":false,"given":"Lin","family":"Cheng","sequence":"first","affiliation":[{"name":"Modern Industrial College of Traditional Chinese Medicine and Health, Lishui University, 1 Xueyuan Road, Lishui 323000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangyang","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Shao","sequence":"additional","affiliation":[{"name":"Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Song","sequence":"additional","affiliation":[{"name":"Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1111\/1750-3841.15046","article-title":"The role of smart packaging system in food supply chain","volume":"85","author":"Chen","year":"2020","journal-title":"J. Food Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.tifs.2021.01.006","article-title":"Total volatile basic nitrogen (TVB-N) and its role in meat spoilage: A review","volume":"109","author":"Bekhit","year":"2021","journal-title":"Trends Food Sci. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2070199","DOI":"10.1002\/adma.202070199","article-title":"Bio-Nanocomposite Coatings: Multifunctional Bio-Nanocomposite Coatings for Perishable Fruits","volume":"32","author":"Jung","year":"2020","journal-title":"Adv. Mater."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Kim, D.-Y., Park, S.-W., and Shin, H.-S. (2023). Fish Freshness Indicator for Sensing Fish Quality during Storage. Foods, 12.","DOI":"10.3390\/foods12091801"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"110858","DOI":"10.1016\/j.foodcont.2024.110858","article-title":"Non-destructive detection of freshness in crayfish (Procambarus clarkii) based on near-infrared spectroscopy combined with deep learning","volume":"168","author":"Han","year":"2025","journal-title":"Food Control"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"15423","DOI":"10.1021\/acs.analchem.2c03326","article-title":"Real-Time Fluorescence Screening Platform for Meat Freshness","volume":"94","author":"Ye","year":"2022","journal-title":"Anal. Chem."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hao, D., Zhang, C., Wang, R., Qiao, Q., Gao, L., Liu, J., and Lin, R. (2025). A Non-Destructive Deep Learning\u2013Based Method for Shrimp Freshness Assessment in Food Processing. Processes, 13.","DOI":"10.3390\/pr13092895"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e01836","DOI":"10.1002\/admt.202501836","article-title":"Bionic Electronic Nose Technology: Bridging Bioinspiration, Nanomaterials, and AI for Next-Generation Odor Sensing","volume":"11","author":"Jia","year":"2026","journal-title":"Adv. Mater. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Vanaraj, R., Bincy, I.P., Mayakrishnan, G., Kim, I.S., and Kim, S.-C. (2025). A Systematic Review of the Applications of Electronic Nose and Electronic Tongue in Food Quality Assessment and Safety. Chemosensors, 13.","DOI":"10.3390\/chemosensors13050161"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"100042","DOI":"10.1016\/j.plaphe.2025.100042","article-title":"Insights of freshness phenotype detection for postharvest fruit and vegetables","volume":"7","author":"Wang","year":"2025","journal-title":"Plant Phenomics"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"147768","DOI":"10.1016\/j.foodchem.2025.147768","article-title":"Smartphone-assisted paper biosensor based on MIL-100(Fe)@Hemin@CDs mimetic nanozyme for freshness monitoring of pork","volume":"502","author":"Pan","year":"2026","journal-title":"Food Chem."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yang, Y., and Liu, H. (2026). A Review of High-Throughput Optical Sensors for Food Detection Based on Machine Learning. Foods, 15.","DOI":"10.3390\/foods15010133"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.meatsci.2018.12.002","article-title":"Determining meat freshness using electrochemistry: Are we ready for the fast and furious?","volume":"150","author":"Johnson","year":"2019","journal-title":"Meat Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1021\/acs.jafc.5c12150","article-title":"Allosteric Aptamer CRISPR\/Cas Activation Enables Non-competitive ATP Detection and Meat Freshness Assessment","volume":"74","author":"Ye","year":"2025","journal-title":"J. Agric. Food Chem."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2740","DOI":"10.1021\/acsnano.5c16056","article-title":"Nanopore Identification of Biogenic Amines and Its Applications in Food Freshness Evaluation","volume":"20","author":"Xiao","year":"2026","journal-title":"ACS Nano"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1007\/s10812-026-02044-x","article-title":"Rapid Identification of the Freshness of Pork Based on Near-Infrared Spectroscopy and Backpropagation Neural Network Algorithm","volume":"92","author":"Chen","year":"2026","journal-title":"J. Appl. Spectrosc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"108860","DOI":"10.1016\/j.jfca.2026.108860","article-title":"Review of advances in hyper-spectral imaging-based non-destructive testing methods in food application","volume":"150","author":"Wu","year":"2026","journal-title":"J. Food Compos. Anal."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"45998","DOI":"10.31083\/JFSFQ45998","article-title":"Meat Freshness Evaluation Methods Based on Spectral Technology: From Traditional to Machine Learning-Enhanced Approaches: A Review","volume":"76","author":"Gao","year":"2025","journal-title":"J. Food Saf. Food Qual."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"107613","DOI":"10.1016\/j.jfca.2025.107613","article-title":"Application of fluorescence spectroscopy in meat analysis","volume":"143","author":"Liao","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105319","DOI":"10.1016\/j.tifs.2025.105319","article-title":"Artificial intelligence-assisted volatile and biogenic amines sensors in intelligent monitoring of food freshness-recent advances, challenges, and future prospects","volume":"165","author":"Zhang","year":"2025","journal-title":"Trends Food Sci. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Li, X., Liu, D., Pu, Y., and Zhong, Y. (2023). Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness. Foods, 12.","DOI":"10.3390\/foods12152976"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"104801","DOI":"10.1016\/j.tifs.2024.104801","article-title":"Lipid oxidation kinetics and antioxidant efficiency in foods using isothermal calorimetry","volume":"155","author":"Suhag","year":"2025","journal-title":"Trends Food Sci. Technol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"100852","DOI":"10.1016\/j.focha.2024.100852","article-title":"A review on food spoilage mechanisms, food borne diseases and commercial aspects of food preservation and processing","volume":"5","author":"Mafe","year":"2024","journal-title":"Food Chem. Adv."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.lwt.2017.08.052","article-title":"Evaluation of the freshness of fresh-cut green bell pepper (Capsicum annuum var. grossum) using electronic nose","volume":"87","author":"Chen","year":"2018","journal-title":"LWT"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wang, B., Dou, X., Liu, K., Wei, G., He, A., Wang, Y., Wang, C., Kong, W., and Zhang, X. (2024). Intelligent Evaluation and Dynamic Prediction of Oyster Freshness with Electronic Nose Based on the Distribution of Volatile Compounds Using GC\u2013MS Analysis. Foods, 13.","DOI":"10.3390\/foods13193110"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.1007\/s11694-025-03903-5","article-title":"Evaluate of apple spoilage through TPFI using self-developed electronic nose system","volume":"20","author":"Zhou","year":"2026","journal-title":"J. Food Meas. Charact."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"115930","DOI":"10.1016\/j.sna.2024.115930","article-title":"Electronic nose combines an effective deep learning method to identify the rice quality under different storage conditions and storage periods","volume":"379","author":"Tang","year":"2024","journal-title":"Sens. Actuators A Phys."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"103880","DOI":"10.1016\/j.fbio.2024.103880","article-title":"An effective method fusing electronic nose and fluorescence hyperspectral imaging for the detection of pork freshness","volume":"59","author":"Cheng","year":"2024","journal-title":"Food Biosci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"132651","DOI":"10.1016\/j.foodchem.2022.132651","article-title":"Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network","volume":"385","author":"Liu","year":"2022","journal-title":"Food Chem."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"117977","DOI":"10.1016\/j.bios.2025.117977","article-title":"Dynamic forecasting of beef freshness using multi-step time series analysis of electronic nose signals","volume":"290","author":"Li","year":"2025","journal-title":"Biosens. Bioelectron."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6027","DOI":"10.1109\/JSEN.2023.3241842","article-title":"A CNN-based E-nose using Time Series Features for Food Freshness Classification","volume":"23","author":"Ren","year":"2023","journal-title":"IEEE Sens. J."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Xiong, Y., Li, Y., Wang, C., Shi, H., Wang, S., Yong, C., Gong, Y., Zhang, W., and Zou, X. (2023). Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning. Agriculture, 13.","DOI":"10.3390\/agriculture13020496"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"108397","DOI":"10.1016\/j.jfca.2025.108397","article-title":"A prior knowledge boosted CNN-LSTM prediction model for oyster freshness evaluation based on an electronic nose","volume":"148","author":"Wei","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1111\/jfs.12180","article-title":"Quantitative Analysis of Fish Microbiological Quality Using Electronic Tongue Coupled with Nonlinear Pattern Recognition Algorithms: Fish Quality Evaluation by Electronic Tongue","volume":"35","author":"Han","year":"2015","journal-title":"J. Food Saf."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"532","DOI":"10.17221\/88\/2014-CJFS","article-title":"A Nondestructive Method for Fish Freshness Determination with Electronic Tongue Combined with Linear and Non-linear Multivariate Algorithms","volume":"32","author":"Han","year":"2014","journal-title":"Czech. J. Food Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1016\/j.foodchem.2010.11.054","article-title":"Monitoring of physical\u2013chemical and microbiological changes in fresh pork meat under cold storage by means of a potentiometric electronic tongue","volume":"126","author":"Gil","year":"2011","journal-title":"Food Chem."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"107559","DOI":"10.1016\/j.fbio.2025.107559","article-title":"Curcumin-infused gelatin\/serum-plasma biofilms enhance pork preservation: A multidimensional analysis of quality, freshness, and storage temperature effects","volume":"72","author":"Ibeogu","year":"2025","journal-title":"Food Biosci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"S2296","DOI":"10.1111\/1750-3841.13012","article-title":"Application of Sensory Evaluation, HS-SPME GC-MS, E-Nose, and E-Tongue for Quality Detection in Citrus Fruits","volume":"80","author":"Qiu","year":"2015","journal-title":"J. Food Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"103662","DOI":"10.1016\/j.fbio.2024.103662","article-title":"Development and characterization of edible packaging films based on pork gelatin integrated with serum plasma for pork packaging and preservation","volume":"58","author":"Ibeogu","year":"2024","journal-title":"Food Biosci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e70063","DOI":"10.1111\/1750-3841.70063","article-title":"Research on postharvest tomato freshness recognition method based on RGB-S and ResNet34","volume":"90","author":"Huang","year":"2025","journal-title":"J. Food Sci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"8838535","DOI":"10.1155\/2020\/8838535","article-title":"A Comprehensive Method for Assessing Meat Freshness Using Fusing Electronic Nose, Computer Vision, and Artificial Tactile Technologies","volume":"2020","author":"Weng","year":"2020","journal-title":"J. Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"148474","DOI":"10.1016\/j.cej.2023.148474","article-title":"Colorimetric microneedle sensor using deep learning algorithm for meat freshness monitoring","volume":"481","author":"Wang","year":"2024","journal-title":"Chem. Eng. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"149283","DOI":"10.1016\/j.cej.2024.149283","article-title":"Inspired by human olfactory system: Deep-learning-assisted portable chemo-responsive dye-based odor sensor array for the rapid sensing of shrimp and fish freshness","volume":"484","author":"Jiang","year":"2024","journal-title":"Chem. Eng. J."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"124057","DOI":"10.1016\/j.talanta.2022.124057","article-title":"Smartphone platform based on gelatin methacryloyl(GelMA)combined with deep learning models for real-time monitoring of food freshness","volume":"253","author":"Gong","year":"2023","journal-title":"Talanta"},{"key":"ref_45","first-page":"1463","article-title":"Electronic Tongue Applications in Food Engineering","volume":"8","author":"Kaya","year":"2020","journal-title":"Food Sci. Technol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.21273\/HORTSCI16136-21","article-title":"Nondestructive Detection of Internal Flavor in \u2018Shatian\u2019 Pomelo Fruit Based on Visible\/Near Infrared Spectroscopy","volume":"56","author":"Xu","year":"2021","journal-title":"HortScience"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tifs.2016.07.011","article-title":"Machine vision system for food grain quality evaluation: A review","volume":"56","author":"Vithu","year":"2016","journal-title":"Trends Food Sci. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"109731","DOI":"10.1016\/j.meatsci.2024.109731","article-title":"Porkolor: A deep learning framework for pork color classification","volume":"221","author":"Pang","year":"2025","journal-title":"Meat Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"e70535","DOI":"10.1111\/1750-3841.70535","article-title":"The Use of Deep Learning in Primary Agricultural Products Freshness Assessment: A Systematic Review","volume":"90","author":"Kang","year":"2025","journal-title":"J. Food Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"117793","DOI":"10.1016\/j.trac.2024.117793","article-title":"Recent advances in optical sensors and probes for the detection of freshness in food samples: A comprehensive review (2020\u20132023)","volume":"177","author":"Liu","year":"2024","journal-title":"TrAC Trends Anal. Chem."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"107995","DOI":"10.1016\/j.foodcont.2021.107995","article-title":"Phenylalanine-responsive fluorescent biosensor based on graphene oxide-chitosan nanocomposites catalytic film for non-destructive fish freshness grading","volume":"125","author":"Fazial","year":"2021","journal-title":"Food Control"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"133489","DOI":"10.1016\/j.foodchem.2022.133489","article-title":"Fast visual monitoring of the freshness of beef using a smart fluorescent sensor","volume":"394","author":"Zeng","year":"2022","journal-title":"Food Chem."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"116746","DOI":"10.1016\/j.bios.2024.116746","article-title":"A novel fluorescence platform for portable and visual monitoring of meat freshness","volume":"267","author":"Liu","year":"2025","journal-title":"Biosens. Bioelectron."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"131089","DOI":"10.1016\/j.ijbiomac.2024.131089","article-title":"Eggshell membrane as a novel and green platform for the preparation of highly efficient and reversible curcumin-based colorimetric sensor for the monitoring of chicken freshness","volume":"266","author":"Iqbal","year":"2024","journal-title":"Int. J. Biol. Macromol."},{"key":"ref_55","first-page":"101125","article-title":"Green, sustainable, and eco-friendly smart halochromic sensor derived from eggshell membrane-based PVA\/curcumin nanofibers for real-time monitoring of chicken freshness","volume":"31","author":"Iqbal","year":"2025","journal-title":"Mater. Today Sustain."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"111151","DOI":"10.1016\/j.foodhyd.2025.111151","article-title":"Preparation and characterization of highly stable pH-sensitive multifunctional films based on co-pigment-anthocyanin conjugate system for pork monitoring and preservation","volume":"164","author":"Song","year":"2025","journal-title":"Food Hydrocoll."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.snb.2017.07.015","article-title":"Piezoelectric sensor for ethylene based on silver(I)\/polymer composite","volume":"254","author":"Tolentino","year":"2018","journal-title":"Sens. Actuators B Chem."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/S0925-4005(01)00955-8","article-title":"Assay of fish freshness using trimethylamine vapor probe based on a sensitive membrane on piezoelectric quartz crystal","volume":"81","author":"Zhao","year":"2002","journal-title":"Sens. Actuators B Chem."},{"key":"ref_59","first-page":"12","article-title":"Rapid and nondestructive assessment of freshness of potatoes using a piezo based sensor","volume":"1","author":"Banerjee","year":"2020","journal-title":"Int. J. Chem. Environ. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"3827","DOI":"10.1007\/s11694-023-01917-5","article-title":"Electrochemical biosensor for monitoring fish spoilage based on nanocellulose as enzyme immobilization matrix","volume":"17","author":"Das","year":"2023","journal-title":"J. Food Meas. Charact."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.1007\/s12161-019-01513-8","article-title":"Electrochemical Biosensing of Chilled Seafood Freshness by Xanthine Oxidase Immobilized on Copper-Based Metal\u2013Organic Framework Nanofiber Film","volume":"12","author":"Wang","year":"2019","journal-title":"Food Anal. Methods"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"10909","DOI":"10.1002\/adfm.202510909","article-title":"Streamlined Synthesis of Ga-Cu Dual Single-Atom Nanozymes for Advanced Electrochemical Sensing Applications","volume":"35","author":"Song","year":"2025","journal-title":"Adv. Funct. Mater."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"114673","DOI":"10.1016\/j.microc.2025.114673","article-title":"Unique 2D\/2D heterojunctions for assessing freshness and quality of fish products","volume":"216","author":"Li","year":"2025","journal-title":"Microchem. J."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"151646","DOI":"10.1016\/j.cej.2024.151646","article-title":"PTA\/CeO2@Pt-based electrochemical sensors to detect xanthine and uric acid, and evaluate fish freshness","volume":"490","author":"Yu","year":"2024","journal-title":"Chem. Eng. J."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1021\/acssensors.6b00829","article-title":"One-Minute Fish Freshness Evaluation by Testing the Volatile Amine Gas with an Ultrasensitive Porous-Electrode-Capped Organic Gas Sensor System","volume":"2","author":"Chang","year":"2017","journal-title":"ACS Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"101064","DOI":"10.1016\/j.crfs.2025.101064","article-title":"Inkjet-printed colorimetric indicators from the peels of red pitaya and Kyoho grape for the detection of food spoilage gases","volume":"10","author":"Gong","year":"2025","journal-title":"Curr. Res. Food Sci."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Suhag, D. (2025). Electrochemical Biosensors: Principles and Mechanisms. Biomimetic Sensor Technologies. Biomedical Materials for Multi-Functional Applications, Springer.","DOI":"10.1007\/978-981-95-1545-5_4"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.drudis.2020.10.021","article-title":"Electrochemical biosensors: A nexus for precision medicine","volume":"26","author":"Pollard","year":"2021","journal-title":"Drug Discov. Today"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Sonowal, K., Borthakur, P.P., and Pathak, K. (2025). Advances in Enzyme-Based Biosensors: Emerging Trends and Applications. Eng. Proc., 106.","DOI":"10.3390\/engproc2025106005"},{"key":"ref_70","unstructured":"Insha, K., Saadiya, N., Darakshan, M., Hilal, A., and Dar, B. (2024). Green Chemistry in Food Analysis Chapter One\u2014Traditional Analytical Methods in Food Industry: Current Challenges and Issues in Food Analysis, Elsevier."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"126007","DOI":"10.1016\/j.talanta.2024.126007","article-title":"Green manufacturing of a hypoxanthine enzyme sensor for fish freshness based on modified nitrocellulose surface with chito-oligosaccharide","volume":"274","author":"Wang","year":"2024","journal-title":"Talanta"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"105855","DOI":"10.1016\/j.microc.2020.105855","article-title":"Facile and rapid one-step mass production of flexible 3D porous graphene nanozyme electrode via direct laser-writing for intelligent evaluation of fish freshness","volume":"162","author":"Zhu","year":"2021","journal-title":"Microchem. J."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"127324","DOI":"10.1016\/j.snb.2019.127324","article-title":"Quercetin@ZIF-90 as a novel antioxidant for label-free colorimetric ATP sensing at neutral pH","volume":"304","author":"Xu","year":"2020","journal-title":"Sens. Actuators B Chem."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"145112","DOI":"10.1016\/j.foodchem.2025.145112","article-title":"An intelligent colorimetric paper-based hypoxanthine biosensor enabled by smartphone and dual-enzyme system for efficient shrimp freshness monitoring","volume":"491","author":"Dong","year":"2025","journal-title":"Food Chem."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"143917","DOI":"10.1016\/j.foodchem.2025.143917","article-title":"Cyclodextrin reduced Fe(III) nanozyme-based colorimetric and photothermal dual-mode assay for early monitoring meat freshness by sensitive detection of hypoxanthine","volume":"480","author":"Sun","year":"2025","journal-title":"Food Chem."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"108332","DOI":"10.1016\/j.jfca.2025.108332","article-title":"Multicolorimetric detection of histamine via nanozyme-mediated gold nanorod etching for food freshness monitoring","volume":"148","author":"Gan","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1016\/j.snb.2016.11.141","article-title":"Modified carbon black as label in a colorimetric on-chip immunoassay for histamine","volume":"246","author":"Mattsson","year":"2017","journal-title":"Sens. Actuators B Chem."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1021\/acssensors.2c00085","article-title":"Rapid and Wash-Free Time-Gated FRET Histamine Assays Using Antibodies and Aptamers","volume":"7","author":"Fu","year":"2022","journal-title":"ACS Sens."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Mattsson, L., Doppler, S., and Preininger, C. (2017). Challenges in Developing a Biochip for Intact Histamine Using Commercial Antibodies. Chemosensors, 5.","DOI":"10.3390\/chemosensors5040033"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"106730","DOI":"10.1016\/j.mimet.2023.106730","article-title":"Rapid detection of lactic acid bacteria by lateral flow immunochromatographic assay","volume":"209","author":"Tominaga","year":"2023","journal-title":"J. Microbiol. Methods"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"107176","DOI":"10.1016\/j.jfca.2024.107176","article-title":"Engineering of a DNAzyme-based aptasensor for highly efficient ATP detection and oyster freshness evaluation","volume":"139","author":"Dai","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"341048","DOI":"10.1016\/j.aca.2023.341048","article-title":"Construction of a simple dual-mode ATP-sensing system for reliable fish freshness evaluation","volume":"1252","author":"Si","year":"2023","journal-title":"Anal. Chim. Acta"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Wang, X., Yang, F., Deng, C., Zhang, Y., Yang, X., Chen, X., Huang, Y., Ye, H., Zhong, J., and Wang, Z. (2022). A Dual-Mode Method Based on Aptamer Recognition and Time-Resolved Fluorescence Resonance Energy Transfer for Histamine Detection in Fish. Molecules, 27.","DOI":"10.3390\/molecules27248711"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"137536","DOI":"10.1016\/j.jhazmat.2025.137536","article-title":"An integrated colorimetric biosensing platform containing microneedle patches and aptasensor for histamine monitoring in seafood","volume":"489","author":"Wang","year":"2025","journal-title":"J. Hazard. Mater."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"5080","DOI":"10.1021\/acsami.1c22767","article-title":"Enzyme-Free Autocatalysis-Driven Feedback DNA Circuits for Amplified Aptasensing of Living Cells","volume":"14","author":"Gao","year":"2022","journal-title":"ACS Appl. Mater. Interfaces"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"11706","DOI":"10.1021\/acs.jafc.4c02227","article-title":"Ammonia-Responsive Colorimetric Film of Phytochemical Formulation (Alizarin) Grafted onto ZIF-8 Carrier with Poly(vinyl alcohol) and Sodium Alginate for Beef Freshness Monitoring","volume":"72","author":"Zhang","year":"2024","journal-title":"J. Agric. Food Chem."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"104241","DOI":"10.1016\/j.ifset.2025.104241","article-title":"Development of a cofactor-dependent enzymatic ligation-triggered rolling circle amplification-assisted CRISPR\u2013Cas12a strategy for ATP detection via a personal glucometer in meat freshness evaluation","volume":"106","author":"He","year":"2025","journal-title":"Innov. Food Sci. Emerg. Technol."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Wang, B., Li, Y., Liu, K., Wei, G., He, A., Kong, W., and Zhang, X. (2024). Intelligent Evaluation and Dynamic Prediction of Oysters Freshness with Electronic Nose Non-Destructive Monitoring and Machine Learning. Biosensors, 14.","DOI":"10.3390\/bios14100502"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"12035","DOI":"10.1021\/acs.chemrev.0c01140","article-title":"Aptamer-Based Detection of Circulating Targets for Precision Medicine","volume":"121","author":"Wu","year":"2021","journal-title":"Chem. Rev."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"108801","DOI":"10.1016\/j.meatsci.2022.108801","article-title":"Improving TVB-N prediction in pork using portable spectroscopy with just-in-time learning model updating method","volume":"188","author":"Zhang","year":"2022","journal-title":"Meat Sci."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"106144","DOI":"10.1016\/j.jfca.2024.106144","article-title":"A method for freshness detection of pork using two-dimensional correlation spectroscopy images combined with dual-branch deep learning","volume":"129","author":"Sun","year":"2024","journal-title":"J. Food Compos. Anal."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"107199","DOI":"10.1016\/j.jfca.2025.107199","article-title":"Rapid non-destructive detection of pork freshness using visible-near infrared spectroscopy based on convolutional neural network hybrid models","volume":"140","author":"Zhao","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"116561","DOI":"10.1016\/j.foodres.2025.116561","article-title":"Fusion of near-infrared and Raman spectroscopy with machine learning strategies: Non-destructive rapid assessment of freshness and TVB-N value prediction in Pacific white shrimp (Litopenaeus vannamei)","volume":"214","author":"Tian","year":"2025","journal-title":"Food Res. Int."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"146354","DOI":"10.1016\/j.foodchem.2025.146354","article-title":"Nondestructive detection of biogenic amines in muscle of Chinese mitten crab (Eriocheir sinensis): A basis for quality assessment using infrared spectroscopy and deep learning","volume":"495","author":"Han","year":"2025","journal-title":"Food Chem."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"146725","DOI":"10.1016\/j.foodchem.2025.146725","article-title":"A multi-task deep learning model based on transformer for simultaneously evaluating the TVB-N and TVC contents of chicken breasts using two different hyperspectral imaging","volume":"496","author":"Li","year":"2025","journal-title":"Food Chem."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"105216","DOI":"10.1016\/j.infrared.2024.105216","article-title":"Leafy vegetable freshness identification using hyperspectral imaging with deep learning approaches","volume":"138","author":"He","year":"2024","journal-title":"Infrared Phys. Technol."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1016\/j.foodchem.2015.10.051","article-title":"Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging","volume":"196","author":"Kamruzzaman","year":"2016","journal-title":"Food Chem."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"107303","DOI":"10.1016\/j.jfca.2025.107303","article-title":"Quantitative detection of beef freshness characterized by storage days based on hyperspectral imaging technology combined with physicochemical indexes","volume":"140","author":"Li","year":"2025","journal-title":"J. Food Compos. Anal."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"109892","DOI":"10.1016\/j.meatsci.2025.109892","article-title":"Rapid determination of lamb meat freshness using the hyperspectral imaging combined with symmetric stacking ensemble algorithm","volume":"228","author":"Zhang","year":"2025","journal-title":"Meat Sci."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"108948","DOI":"10.1016\/j.microc.2023.108948","article-title":"Rapid classification of the freshness grades of sea bass (Lateolabrax japonicus) fillets using a portable Raman spectrometer with machine learning method","volume":"192","author":"Wang","year":"2023","journal-title":"Microchem. J."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"145649","DOI":"10.1016\/j.foodchem.2025.145649","article-title":"Deep learning algorithm-assisted non-destructive detection of TBARS values of salmon flesh using multi-modal molecular spectra fusion","volume":"492","author":"Guo","year":"2025","journal-title":"Food Chem."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"144841","DOI":"10.1016\/j.foodchem.2025.144841","article-title":"Unveiling anthocyanins structural basis with multiplexed colorimetric and SERS responses for smart monitoring of seafood freshness","volume":"488","author":"Liu","year":"2025","journal-title":"Food Chem."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"105175","DOI":"10.1016\/j.jfca.2023.105175","article-title":"Non-destructive detection of frozen pork freshness based on portable fluorescence spectroscopy","volume":"118","author":"Zhuang","year":"2023","journal-title":"J. Food Compos Anal."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"2574","DOI":"10.1002\/jsfa.13055","article-title":"Non-destructive prediction of TVB-N using color-texture features of UV-induced fluorescence image for freeze\u2013thaw treated frozen-whole-round tilapia","volume":"104","author":"Wang","year":"2024","journal-title":"J. Sci. Food Agric."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"4717","DOI":"10.1007\/s10895-024-03854-y","article-title":"Indole Schiff Base Complex: Synthesis and Optical Binding Investigation with Biogenic Amines","volume":"35","author":"Sahudin","year":"2025","journal-title":"J. Fluoresc."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"110643","DOI":"10.1016\/j.jfoodeng.2021.110643","article-title":"On-line monitoring of egg freshness using a portable NIR spectrometer in tandem with machine learning","volume":"306","author":"Barbin","year":"2021","journal-title":"J. Food Eng."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"114564","DOI":"10.1016\/j.foodres.2024.114564","article-title":"Data fusion of near-infrared and Raman spectroscopy: An innovative tool for non-destructive prediction of the TVB-N content of salmon samples","volume":"189","author":"Guo","year":"2024","journal-title":"Food Res. Int."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"2501808","DOI":"10.1002\/smll.202501808","article-title":"SERS Sensor Integrated in Stretchable and Antimicrobial Wrapper for Food Quality Monitoring and Preservation","volume":"21","author":"Ha","year":"2025","journal-title":"Small"},{"key":"ref_109","first-page":"792","article-title":"Freshness Evaluation of Beef using MOS Based E-Nose","volume":"Volume 2023","author":"Binson","year":"2023","journal-title":"Proceedings of the 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 5\u20137 January 2023"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"116313","DOI":"10.1016\/j.foodres.2025.116313","article-title":"E-nose based control charts for fish freshness evaluation","volume":"209","author":"Buratti","year":"2025","journal-title":"Food Res. Int."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.snb.2005.05.003","article-title":"An electronic tongue in the dairy industry","volume":"111\u2013112","author":"Winquist","year":"2005","journal-title":"Sens. Actuators B Chem."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1111\/1541-4337.13095","article-title":"Metal\u2013oxide\u2013semiconductor resistive gas sensors for fish freshness detection","volume":"22","author":"Wu","year":"2022","journal-title":"Compr. Rev. Food Sci. Food Saf."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"100135","DOI":"10.1016\/j.asems.2025.100135","article-title":"Aptamer-based biosensors for biogenic amines detection","volume":"4","author":"Yang","year":"2025","journal-title":"Adv. Sens. Energy Mater."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"122172","DOI":"10.1016\/j.eswa.2023.122172","article-title":"Current advances in imaging spectroscopy and its state-of-the-art applications","volume":"238","author":"Anam","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Kaushal, S., Nayi, P., Rahadian, D., and Chen, H.-H. (2022). Applications of Electronic Nose Coupled with Statistical and Intelligent Pattern Recognition Techniques for Monitoring Tea Quality: A Review. Agriculture, 12.","DOI":"10.3390\/agriculture12091359"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"101364","DOI":"10.1016\/j.fochx.2024.101364","article-title":"Research progress of chilled meat freshness detection based on nanozyme sensing systems","volume":"22","author":"Song","year":"2024","journal-title":"Food Chem. X"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"111247","DOI":"10.1016\/j.foodcont.2025.111247","article-title":"Recent advancements in chemometrics based non-destructive analytical techniques for rapid detection of adulterants in milk and dairy products\u2014A review","volume":"174","author":"Xu","year":"2025","journal-title":"Food Control"},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"5693","DOI":"10.1039\/D5AY00647C","article-title":"Advancing food safety and quality assessment: A comprehensive review of non-destructive analytical technologies","volume":"17","author":"Feng","year":"2025","journal-title":"Anal. 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