{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T16:16:23Z","timestamp":1789488983194,"version":"build-2803163510"},"reference-count":33,"publisher":"American Chemical Society (ACS)","issue":"36","license":[{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/501100010256","name":"Guangzhou Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["2023A04J1711"],"award-info":[{"award-number":["2023A04J1711"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62075137"],"award-info":[{"award-number":["62075137"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62275164"],"award-info":[{"award-number":["62275164"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62305074"],"award-info":[{"award-number":["62305074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011708"],"award-info":[{"award-number":["2023A1515011708"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515140161"],"award-info":[{"award-number":["2023A1515140161"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014601","name":"Dongguan University of Technology","doi-asserted-by":"publisher","award":["221110080"],"award-info":[{"award-number":["221110080"]}],"id":[{"id":"10.13039\/501100014601","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Dongguan Science and Technology of Social Development Program","award":["20231800936312"],"award-info":[{"award-number":["20231800936312"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Conventional surface plasmon resonance imaging (SPRi) relies on relative resonance-shift measurements and laborious multipoint calibration, rendering it incompatible with disposable-chip and point-of-care scenarios. Here, we report a Hadamard-encoded spectral compressive reconstruction (HSCR) platform coupled with a lightweight one-dimensional convolutional neural network (1D-SPRNet). By reframing chip-scale spatial nonuniformity as an in situ data-augmentation mechanism, the system generates \u223c20,000 pixel-wise training spectra from a single measurement cycle and converts six compressed CMOS frames into quantitative refractive-index changes (\u0394RIU) using only six multiplexed LED measurements. By outputting physical refractive-index units rather than arbitrary resonance shifts, the system eliminates the need for exhaustive chip-specific calibration: a minimal two-point Langmuir fit suffices for quantitative immunodetection. We demonstrate high-fidelity spectral recovery (Pearson correlation &amp;gt;0.999) and cross-chip generalization using NaCl refractive-index standards. In a rabbit IgG\/goat antirabbit IgG model, the pretrained 1D-SPRNet achieves linear regression R2 = 0.996 in phosphate-buffered saline and R2 = 0.987 in 10-fold diluted human serum, with relative errors within \u00b17% in phosphate-buffered saline and recoveries ranging from 88.7% to 101.1% in 10-fold diluted human serum, along with negligible nonspecific adsorption. This integration of compressive spectral encoding with end-to-end deep regression enables high-throughput, real-time, minimal-calibration multiplexed biosensing.<\/jats:p>","DOI":"10.1021\/acs.analchem.6c03997","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T12:00:18Z","timestamp":1788350418000},"page":"26957-26968","source":"Crossref","is-referenced-by-count":0,"title":["Two-Point Calibration\nSurface Plasmon Resonance Immunoassay\nEnabled by Hadamard-Encoded Spectral Reconstruction and Deep Learning"],"prefix":"10.1021","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5559-2977","authenticated-orcid":true,"given":"Youjun","family":"Zeng","sequence":"first","affiliation":[{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]},{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]},{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenglong","family":"Guo","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]},{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Chen","sequence":"additional","affiliation":[{"name":"Dongguan University of Technology , , ,","place":["Dongguan, China, 523808"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fusheng","family":"Du","sequence":"additional","affiliation":[{"name":"CNRS UMR 7076, University of Technology of Troyes , , ,","place":["Troyes, France, 10004"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leiming","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuwen","family":"Zeng","sequence":"additional","affiliation":[{"name":"CNRS UMR 7076, University of Technology of Troyes , , ,","place":["Troyes, France, 10004"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7472-4368","authenticated-orcid":true,"given":"Yufeng","family":"Yuan","sequence":"additional","affiliation":[{"name":"Dongguan University of Technology , , ,","place":["Dongguan, China, 523808"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,8,29]]},"reference":[{"key":"2026091511065417500_cit1","doi-asserted-by":"publisher","first-page":"113767","DOI":"10.1016\/j.bios.2021.113767","article-title":"Advances in surface\nplasmon resonance\u2013based biosensor technologies for cancer biomarker\ndetection","volume":"197","author":"Azzouz","year":"2022","journal-title":"Biosens. Bioelectron."},{"key":"2026091511065417500_cit2","doi-asserted-by":"publisher","first-page":"113802","DOI":"10.1016\/j.jpba.2020.113802","article-title":"Potential\nof surface plasmon resonance\nbiosensors in cancer detection","volume":"194","author":"Falkowski","year":"2021","journal-title":"J. Pharm. Biomed.\nAnal."},{"key":"2026091511065417500_cit3","doi-asserted-by":"publisher","first-page":"111449","DOI":"10.1016\/j.bios.2019.111449","article-title":"Surface plasmon\nresonance (SPR) biosensors for food allergen detection\nin food matrices","volume":"142","author":"Zhou","year":"2019","journal-title":"Biosens. Bioelectron."},{"issue":"1","key":"2026091511065417500_cit4","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1146\/annurev-anchem-061318-115106","article-title":"Advances in Surface\nPlasmon Resonance Imaging and Microscopy and Their Biological Applications","volume":"12","author":"Bockova\u0301","year":"2019","journal-title":"Annu. Rev. Anal. Chem."},{"issue":"5","key":"2026091511065417500_cit5","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1039\/C9AN01998G","article-title":"Optical biosensors:\nan exhaustive and comprehensive review","volume":"145","author":"Chen","year":"2020","journal-title":"Analyst"},{"issue":"31","key":"2026091511065417500_cit6","doi-asserted-by":"publisher","first-page":"17285","DOI":"10.1021\/acs.analchem.5c03900","article-title":"Dual-Wavelength\nSurface Plasmon Resonance Microscopy Combined with\nLaser-Induced Bubble-Cell Perforation: A Novel Single-Cell Manipulation\nand Real-Time Monitoring Platform","volume":"97","author":"Zeng","year":"2025","journal-title":"Anal. Chem."},{"issue":"1","key":"2026091511065417500_cit7","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1038\/s41467-025-56390-z","article-title":"In-situ profiling of\nglycosylation on single cells with surface plasmon resonance imaging","volume":"16","author":"Liu","year":"2025","journal-title":"Nat. Commun."},{"issue":"1","key":"2026091511065417500_cit8","doi-asserted-by":"publisher","first-page":"6475","DOI":"10.1038\/s41467-022-34196-7","article-title":"Flexible hyperspectral\nsurface plasmon resonance microscopy","volume":"13","author":"Liu","year":"2022","journal-title":"Nat. Commun."},{"issue":"5","key":"2026091511065417500_cit9","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1515\/nanoph-2017-0022","article-title":"Recent advances in surface plasmon resonance\nimaging: detection speed,\nsensitivity, and portability","volume":"6","author":"Zeng","year":"2017","journal-title":"Nanophotonics"},{"key":"2026091511065417500_cit10","doi-asserted-by":"publisher","first-page":"125440","DOI":"10.1016\/j.talanta.2023.125440","article-title":"Customizable\nminiaturized SPR instrument","volume":"269","author":"Zhang","year":"2024","journal-title":"Talanta"},{"issue":"4","key":"2026091511065417500_cit11","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1364\/OL.481232","article-title":"Spectrometer-based\nwavelength interrogation SPR imaging via Hadamard transform","volume":"48","author":"Kim","year":"2023","journal-title":"Opt. Lett."},{"issue":"12","key":"2026091511065417500_cit12","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.3390\/molecules29122811","article-title":"Wavelength Division Multiplexing-Based\nHigh-Sensitivity Surface Plasmon Resonance Imaging Biosensor for High-Throughput\nReal-Time Molecular Interaction Analysis","volume":"29","author":"Niu","year":"2024","journal-title":"Molecules"},{"key":"2026091511065417500_cit13","doi-asserted-by":"publisher","first-page":"138826","DOI":"10.1016\/j.snb.2025.138826","article-title":"CRISPR-mediated\n3D nanostructured surface plasmon resonance imaging biosensor for\nhighly sensitive microRNA detection","volume":"447","author":"Wang","year":"2026","journal-title":"Sens. Actuators,\nB"},{"key":"2026091511065417500_cit14","doi-asserted-by":"publisher","first-page":"111021","DOI":"10.1016\/j.optlastec.2024.111021","article-title":"Optimizing surface plasmon resonance\nspectral imaging through AOTF-calibrated\nlight sources and image feedback","volume":"176","author":"Wang","year":"2024","journal-title":"Opt. Laser\nTechnol."},{"issue":"21","key":"2026091511065417500_cit15","doi-asserted-by":"publisher","first-page":"8791","DOI":"10.1021\/acs.analchem.4c01234","article-title":"Advancing MicroRNA Detection:\nEnhanced Biotin\u2013Streptavidin\nDual-Mode Phase Imaging Surface Plasmon Resonance Aptasensor","volume":"96","author":"Liu","year":"2024","journal-title":"Anal. Chem."},{"key":"2026091511065417500_cit16","doi-asserted-by":"publisher","first-page":"124405","DOI":"10.1016\/j.talanta.2023.124405","article-title":"Wavelength sequential selection technique for high-throughput\nmulti-channel phase interrogation surface plasmon resonance imaging\nsensing","volume":"258","author":"Sang","year":"2023","journal-title":"Talanta"},{"issue":"14","key":"2026091511065417500_cit17","doi-asserted-by":"publisher","first-page":"20624","DOI":"10.1364\/OE.396656","article-title":"High-throughput imaging\nsurface plasmon resonance biosensing based\non ultrafast two-point spectral-dip tracking scheme","volume":"28","author":"Zeng","year":"2020","journal-title":"Opt. Express"},{"issue":"2","key":"2026091511065417500_cit18","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1021\/acs.analchem.0c03347","article-title":"Ultrafast Surface Plasmon\nResonance Imaging Sensor via the High-Precision\nFour-Parameter-Based Spectral Curve Readjusting Method","volume":"93","author":"Wang","year":"2021","journal-title":"Anal. Chem."},{"issue":"4","key":"2026091511065417500_cit19","doi-asserted-by":"publisher","first-page":"043702","DOI":"10.1063\/5.0313117","article-title":"A low-cost,\nhigh-sensitivity\nWSPRi system using a multi-LED array and smoothness-constrained reconstruction\nalgorithm","volume":"128","author":"Zeng","year":"2026","journal-title":"Appl. Phys. Lett."},{"key":"2026091511065417500_cit20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2025.3556223","article-title":"Intelligent Surface\nPlasmon Resonance Sensor for Refractive Index Substance Identification\nWith Convolutional Neural Network Image-Based Model","volume":"74","author":"Oliveira","year":"2025","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"4","key":"2026091511065417500_cit21","doi-asserted-by":"publisher","first-page":"4517","DOI":"10.1109\/JSEN.2020.3035441","article-title":"Smart Noise Reduction\nin SPR Sensors\nResponse Using Multiple-ANN Design","volume":"21","author":"Batista","year":"2021","journal-title":"IEEE Sens.\nJ."},{"issue":"14","key":"2026091511065417500_cit22","doi-asserted-by":"publisher","first-page":"6486","DOI":"10.3390\/s23146486","article-title":"Deep Learning for\nOptical Sensor Applications: A Review","volume":"23","author":"Al-Ashwal","year":"2023","journal-title":"Sensors"},{"issue":"29","key":"2026091511065417500_cit23","doi-asserted-by":"publisher","first-page":"10427","DOI":"10.1021\/acs.analchem.2c01620","article-title":"Easy and\nRapid Approach to Obtaining the Binding Affinity of Biomolecular Interactions\nBased on the Deep Learning Boost","volume":"94","author":"Chang","year":"2022","journal-title":"Anal. Chem."},{"issue":"6","key":"2026091511065417500_cit24","doi-asserted-by":"publisher","first-page":"3599","DOI":"10.1039\/D5CS01522G","article-title":"Artificial\nintelligence\nand machine learning for plasmonic and surface-enhanced sensing","volume":"55","author":"Geddis","year":"2026","journal-title":"Chem. Soc. Rev."},{"issue":"20","key":"2026091511065417500_cit25","doi-asserted-by":"publisher","first-page":"31418","DOI":"10.1364\/OE.433052","article-title":"Phase interrogation surface plasmon resonance hyperspectral imaging\nsensor for multi-channel high-throughput detection","volume":"29","author":"Miyan","year":"2021","journal-title":"Opt. Express"},{"issue":"3","key":"2026091511065417500_cit26","doi-asserted-by":"publisher","first-page":"3442","DOI":"10.1364\/OE.382242","article-title":"Phase interrogation\nSPR sensing based on white light polarized interference for wide dynamic\ndetection range","volume":"28","author":"Zeng","year":"2020","journal-title":"Opt. Express"},{"issue":"3","key":"2026091511065417500_cit27","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1007\/s11468-022-01604-z","article-title":"Combination\nof Digital Image Processing and Statistical Data Segmentation to Enhance\nSPR and SPRi Sensor Responses","volume":"17","author":"de Aguiar","year":"2022","journal-title":"Plasmonics"},{"issue":"9","key":"2026091511065417500_cit28","doi-asserted-by":"publisher","first-page":"2200886","DOI":"10.1002\/adts.202200886","article-title":"Computational\nModeling for Intelligent Surface Plasmon Resonance\nSensor Design and Experimental Schemes for Real-Time Plasmonic Biosensing:\nA Review","volume":"6","author":"Das","year":"2023","journal-title":"Adv. Theory Simul."},{"key":"2026091511065417500_cit29","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1038\/s41587-025-02814-6","article-title":"Deep-learning-based\nvirtual screening of antibacterial compounds","volume":"44","author":"Scalia","year":"2026","journal-title":"Nat. Biotechnol."},{"issue":"1","key":"2026091511065417500_cit30","doi-asserted-by":"publisher","first-page":"7761","DOI":"10.1038\/s41467-024-52061-7","article-title":"An artificial intelligence accelerated virtual\nscreening platform for drug discovery","volume":"15","author":"Zhou","year":"2024","journal-title":"Nat.\nCommun."},{"issue":"16","key":"2026091511065417500_cit31","doi-asserted-by":"publisher","first-page":"163701","DOI":"10.1063\/5.0236924","article-title":"Rapid wavelength interval selection technology\nfor\nmulti-channel intensity-interrogation surface plasmon resonance imaging\nsensing","volume":"125","author":"Liu","year":"2024","journal-title":"Appl. Phys. Lett."},{"issue":"2","key":"2026091511065417500_cit32","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1021\/cr068107d","article-title":"Surface Plasmon\nResonance Sensors for Detection of Chemical and Biological Species","volume":"108","author":"Homola","year":"2008","journal-title":"Chem. Rev."},{"issue":"35","key":"2026091511065417500_cit33","doi-asserted-by":"publisher","first-page":"10596","DOI":"10.1021\/ja020393x","article-title":"A Nanoscale Optical\nBiosensor: Sensitivity and Selectivity\nof an Approach Based on the Localized Surface Plasmon Resonance Spectroscopy\nof Triangular Silver Nanoparticles","volume":"124","author":"Haes","year":"2002","journal-title":"J. Am. Chem.\nSoc."}],"container-title":["Analytical Chemistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.analchem.6c03997","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/ancham\/article-pdf\/98\/36\/26957\/67730840\/acs.analchem.6c03997.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/ancham\/article-pdf\/98\/36\/26957\/67730840\/acs.analchem.6c03997.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T15:52:30Z","timestamp":1789487550000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/ancham\/article\/98\/36\/26957\/5360752\/Two-Point-Calibration-Surface-Plasmon-Resonance"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,29]]},"references-count":33,"journal-issue":{"issue":"36","published-online":{"date-parts":[[2026,8,29]]},"published-print":{"date-parts":[[2026,9,15]]}},"URL":"https:\/\/doi.org\/10.1021\/acs.analchem.6c03997","relation":{},"ISSN":["0003-2700","1520-6882"],"issn-type":[{"value":"0003-2700","type":"print"},{"value":"1520-6882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,29]]}}}