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M.D. Keller, et al., “Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation,” Journal of Biomedical Optics 16(7), 077006 (2011).


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Qin, et al., “Investigation of Raman chemical imaging for detection of lycopene changes in tomatoes during postharvest ripening,” Journal of Food Engineering, 107, 277 (2011).


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Qin, et al., “High-throughput Raman chemical imaging for evaluating food safety and quality”, Proc. SPIE 9108, Sensing for Agriculture and Food Quality and Safety VI, 91080F (2014).


Qin, et al., “A Laser Line Hyperspectral System for high throughput Raman chemical imaging,” Applied Spectroscopy, 68, 692 (2014).


Dhakal, et al., “Prototype instrument development for non-destructive detection of pesticide residue in apple surface using Raman technology,” Journal of Food Engineering, 123, 94 (2014).


K. Weidemaier, et al., “Real-time pathogen monitoring during enrichment: a novel nanotechnology-based approach to food safety testing,” International Journal of Food Microbiology, 198, 19 (2015).


Qin, et al., “Screening of adulterants in powdered foods and ingredients using line-scan Raman chemical imaging”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880F (2015).


Chao, et al., “Depth of penetration of a 785nm wavelength laser in food powders”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880U (2015).


Dhakal, et al., “Raman-spectroscopy-based chemical contaminant detection in milk powder”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880E (2015).


Zhao, et al., “Rapid detection of benzoyl peroxide in wheat flour by using Raman scattering spectroscopy”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880S (2015).


Qin, et al., “Line-scan spatially offset Raman spectroscopy for inspecting subsurface food safety and quality”, Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640C (2016).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of the long chain polyunsaturated fatty acids docosapentaenoic (DPA, 22:5n-6) and docosahexaenoic (DHA; 22:6n-3) from −100 to 20° C”, Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640E (2016).


Qin, et al., “A line-scan hyperspectral Raman system for spatially offset Raman spectroscopy,” Jl. of Raman Spectroscopy, 47, 437 (2016).


Dhakal, et al., “Raman spectroscopy method for subsurface detection of food powders through plastic layers”, Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021706 (2017).


Qin, et al., “Detecting benzoyl peroxide in wheat flour by line-scan macro-scale Raman chemical imaging”, Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021707 (2017).


Qin, et al., “Line-scan Raman imaging and spectroscopy platform for surface and subsurface evaluation of food safety and quality,” Journal of Food Engineering, 198, 17 (2017).


Wang, et al., “Raman hyperspectral image analysis of benzoyl peroxide additive,” Journal of Molecular Structure, 1138, 6 (2017).


Wang, X. et al., ”Quantitative analysis of BPO additive in flour via Raman hyperspectral imaging technology. Eur Food Res Technol 243, 2265–2273 (2017).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy and differential scanning calorimetry of N-3DPA and DHA from −100 to 10°C,” Chemistry and Physics of Lipids, 204, 94 (2017).


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X. Wang, et al., “Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system,” Spectroscopy Letters, 50:7, 364, (2017).


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Karami, et al., “Microplastic and mesoplastic contamination in canned sardines and sprats,” Science of The Total Environment, 612, 1380 (2018).


J.-Y. Lee, et al., “Quantitative analysis of lard in animal fat mixture using visible Raman spectroscopy,” Food Chemistry, 254, 109 (2018).


Liu, et al., “Packaged food detection method based on the generalized Gaussian model for line-scan Raman scattering images,” Journal of Food Engineering, 258, 9 (2019).


B. Slootmaekers, et al., “Microplastic contamination in gudgeons (Gobio gobio) from Flemish rivers (Belgium),” Environmental Pollution, 244, 675 (2019).


G. Malafaia, et al., “Developmental toxicity in zebrafish exposed to polyethylene microplastics under static and semi-static aquatic systems,” Science of The Total Environment, 700, 134867 (2020).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of polyunsaturated fish lipids provides detailed vibrational analysis and rapid, nondestructive graphical product authentication”, Proc. SPIE 11421, Sensing for Agriculture and Food Quality and Safety XII, 1142106 (2020).


Karbalaei, et al., “Analysis and inorganic composition of microplastics in commercial Malaysian fish meals,” Marine Pollution Bulletin, 150, 110687 (2020).


Gomes, et al., “Trophic transfer of carbon nanofibers among eisenia fetida, danio rerio and oreochromis niloticus and their toxicity at upper trophic level,” Chemosphere, 263, 127657 (2021).


P. Justiniano de Oliveira, et al., “Behavioral and biochemical consequences of Danio rerio larvae exposure to polylactic acid bioplastic,” Journal of Hazardous Materials, 404 Part A, 124152 (2021).


A.T. Batista Guimarães, et al., “Toxic effects of naturally-aged microplastics on zebrafish juveniles: A more realistic approach to plastic pollution in freshwater ecosystems,” Journal of Hazardous Materials, 407, 124833 (2021).


A.T.B. Guimarães, et al., “Toxicity of polystyrene nanoplastics in Ctenopharyngodon idella juveniles: A genotoxic, mutagenic and cytotoxic perspective,” Science of The Total Environment, 752, 141937 (2021).


A.T.B. Guimarães, et al., “Nanopolystyrene particles at environmentally relevant concentrations causes behavioral and biochemical changes in juvenile grass carp (Ctenopharyngodon idella),” Journal of Hazardous Materials, 403, 123864 (2021).


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Z. Liu, et al., “Nondestructive freshness evaluation of intact prawns (Fenneropenaeus chinensis) using line-scan spatially offset Raman spectroscopy,” Food Control, 126, 108054 (2021).


Z. Liu, et al., “Detection of adulterated sugar with plastic packaging based on spatially offset Raman imaging,” J Sci Food Agric, 101, 6281 (2021).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of 1-stearoyl- 2-docosahexaenoyl, 1-stearoyl- 2-arachidonoyl, and 1,2-stearoyl phosphocholines,” Chemistry and Physics of Lipids, 239, 105116 (2021).


X. Li, et al., “Line-scan Raman scattering image and multivariate analysis for rapid and noninvasive detection of restructured beef,” Appl. Opt. 60, 6357 (2021).


Y. Long, et al., “Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics,” Food Chemistry, 372, 131246 (2022).

Kim, et al., “Accurate determination of polyethylene pellet density using transmission Raman spectroscopy,” Jl. of Raman Spectroscopy, 42, 1967 (2011).


Liu, et al., “Fiber-optic Raman probe based on single-crystal sapphire fiber”, Proc. SPIE 8374, Next-Generation Spectroscopic Technologies V, 83740P (2012).


W.F. Schmidt, et al., “Continuous gradient temperature Raman Spectroscopy identifies flexible sites in proline and alanine peptides,” Vibrational Spectroscopy, 80, 59 (2015).


Chen, et al., “Diurnal Variability in Chlorophyll-a, Carotenoids, CDOM and SO42−Intensity of Offshore Seawater Detected by an Underwater Fluorescence-Raman Spectral System,” Sensors,16, 1082 (2016).


C.L. Broadhurst, et al., “Continuous Gradient Temperature Raman Spectroscopy of Oleic and Linoleic Acids from −100 to 50 °C,” Lipids, 51, 1289 (2016).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of unsaturated fatty acids: applications for fish and meat lipids and rendered meat source identification”, Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 1066504 (2018).


Yan, et al., “Quantitative Analysis of Organic Liquid Three-Component Systems: Near-Infrared Transmission versus Raman Spectroscopy, Partial Least Squares versus Classical Least Squares Regression Evaluation and Volume versus Weight Percent Concentration Units. Molecules,”24, 3564 (2019).


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A.P. Skinner, et al. “Dense carbon nanotube array-ionic electroactive polymer composite actuators”, Proc. SPIE 11587, Electroactive Polymer Actuators and Devices (EAPAD) XXIII, 115871F (22 March 2021).


Guo, et al., “Spatial scattering Raman spectral characteristics of clenbuterol”, Proc. SPIE 11754, Sensing for Agriculture and Food Quality and Safety XIII, 117540O (2021).

Naji, et al., “A novel method of using hollow-core photonic crystal fiber as a Raman biosensor”, Proc. SPIE 6865, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V, 68650E (2008).


V.S. Tiwari, et al., “Detection of amino acid neurotransmitters by surface enhanced Raman scattering and hollow core photonic crystal fiber”, Proc. SPIE 8233, Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications IV, 82330Q (2012).


B.D. Beier, et al., “Raman microspectroscopy for species identification and mapping within bacterial biofilms,” AMB Expr 2, 35 (2012).


Ron, et al., “A tissue mimicking phantom model for applications combining light and ultrasound”, Proc. SPIE 8583, Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue V, 858307 (2013).


Khmaladze, et al., “Raman fiberoptic probe for monitoring human tissue engineered oral mucosa constructs”, Proc. SPIE 8579, Optical Interactions with Tissue and Cells XXIV, 85790L (2013).


R.L. Agapov, et al., “Lithography-free approach to highly efficient, scalable SERS substrates based on disordered clusters of disc-on-pillar structures,” Nanotechnology, 24(50), 505302 (2013).


Z. Wang, et al., “Use of a mechanical iris-based fiber optic probe for spatially offset Raman spectroscopy,” Opt. Lett. 39, 3790 (2014).


K.K. Chow, et al., “A Raman cell based on hollow core photonic crystal fiber for human breath analysis,” Medical Physics, 41, 092701 (2014).


I.P. Santos, et al., “Implementation of a novel low-noise InGaAs detector enabling rapid near-infrared multichannel Raman spectroscopy of pigmented biological samples,” Jl. of Raman Spectroscopy, 46, 652 (2015).


Petterson, et al., “Characterization of a fibre optic Raman probe within a hypodermic needle,” Anal Bioanal Chem 407, 8311 (2015).


M. Tivnan, et al., “High Frequency Sampling of TTL Pulses on a Raspberry Pi for Diffuse Correlation Spectroscopy Applications,” Sensors15, 19709 (2015).


C. Hanson and E. Vargis, “Alternative cDEP Design to Facilitate Cell Isolation for Identification by Raman Spectroscopy,” Sensors, 17, 327 (2017).


E.S. Shibu, et al., “Small Gold Nanorods with Tunable Absorption for Photothermal Microscopy in Cells”,  Advanced Science, 4, 1600280 (2017).


Sharma and A. S. Moody, “Detection of neurotransmitters through the skull by surface-enhanced spatially-offset Raman spectroscopy,” in Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS), OSA Technical Digest (Optical Society of America, 2017), paper SeTu2E.5.


Schleusener, et al., “Depth-dependent autofluorescence photobleaching using 325, 473, 633, and 785 nm of porcine ear skin ex vivo,” Journal of Biomedical Optics 22(9), 091503 (2017).


Ghita, et al., “High sensitivity non-invasive detection of calcifications deep inside biological tissue using transmission Raman spectroscopy,” Jl. Biophotonics, 11, e201600260 (2018).


Zeng and Z.D. Schultz, “Local heating effect study by photothermal imaging”, Proc. SPIE 10726, Nanoimaging and Nanospectroscopy VI, 107260H (2018).


A.Ghita, et al. “Sensitivity of Transmission Raman Spectroscopy Signals to Temperature of Biological Tissues,” Sci Rep 8, 8379 (2018).


Hanson, et al., “Simultaneous isolation and label-free identification of bacteria using contactless dielectrophoresis and Raman spectroscopy,” Electrophoresis, 40, 1446 (2019).


S.H. Hilton, et al., “Phenotypically distinguishing ESBL-producing pathogens using paper-based surface enhanced Raman sensors,” Analytica Chimica Acta, 1127, 207 (2020).


H. Nozue, et al. Growth-phase dependent morphological alteration in higher plant thylakoid is accompanied by changes in both photodamage and repair rates,” Physiologia Plantarum, 172, 1983 (2021). 


S. Zhang, et al., “Design and performance of a dark-field probe with confocal Raman spectroscopy for ophthalmic applications,” J. Raman Spectroscopy, 52, 1371 (2021).


B. Gardner, et al., “Self-absorption corrected non-invasive transmission Raman spectroscopy (of biological tissue),” Analyst, 146, 1260 (2021).


S. Zhang, et al. Raman spectroscopic detection of interleukin-10 and angiotensin converting enzyme. J. Eur. Opt. Soc.-Rapid Publ. 17, 7 (2021).


G.M. Sarabia, et al., “Non-destructive Raman spectroscopic determination of freshwater mollusk composition, growth, and damage repair,” Analyst, 146, 6288 (2021).


J.H. Choi, et al. “Combination of Porous Silk Fibroin Substrate and Gold Nanocracks as a Novel SERS Platform for a High-Sensitivity Biosensor,” Biosensors, 11, 441 (2021).


C. Leroy, et al., ”From operando Raman mechanochemistry to “NMR crystallography”: understanding the structures and interconversion of Zn-terephthalate networks using selective 17O-labelling,” ChemRxiv. Cambridge: Cambridge Open Engage; (2021).

S.T. McCain, et al., “Multi-excitation Raman spectroscopy technique for fluorescence rejection,” Opt. Express, 16, 10975 (2008).


Z.J. Smith and A.J. Berger, “Validation of an integrated Raman- and angular-scattering microscopy system on heterogeneous bead mixtures and single human immune cells,” Appl. Opt. 48, D109 (2009).


Bi, J et al., “Raman spectroscopy for of bone quality in MMP-2 knockout mice”, Proc. SPIE 7166, Optics in Bone Biology and Diagnostics, 71660B (2009).


A.H. Chau, et al., “Fingerprint and high-wavenumber Raman spectroscopy in a human-swine coronary xenograft in vivo,” Journal of Biomedical Optics 13(4), 040501 (2008).


F.W.L. Esmonde-White, et al., “Exposed and transcutaneous measurement of musculoskeletal tissues using fiber optic coupled Raman spectroscopy,” Proceedings SPIE, 7548, Photonic Therapeutics and Diagnostics VI; 75484D (2010). 


Khetani, et al., “Monitoring of heparin concentration in serum by Raman spectroscopy within hollow core photonic crystal fiber,” Optics Express, 19, 15245 (2011).


Khetani, et al., “Monitoring of adenosine within hollow core photonic crystal fiber by surface enhanced Raman scattering (SERS),” 2011 11th IEEE International Conference on Nanotechnology, 973 (2011).


Bi, et al., “Raman and mechanical properties correlate at whole bone- and tissue-levels in a genetic mouse model,” Journal of Biomechanics, 44, 297 (2011).


J.S. Nyman, et al., “Differential effects between the loss of MMP-2 and MMP-9 on structural and tissue-level properties of bone,” Journal of Bone and Mineral Research, 26, 1252 (2011).


Shim, et al., “An investigation of the effect of in vivo interferences on Raman glucose measurements”, Proc. SPIE 7906, Optical Diagnostics and Sensing XI: Toward Point-of-Care Diagnostics; and Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue III, 79060Z (2011).


P.I. Okagbare, et al., “Transcutaneous Raman spectroscopy for assessing progress of bone-graft incorporation in bone reconstruction and repair”, Proc. SPIE 7883, Photonic Therapeutics and Diagnostics VII, 78834I (2011).


Bi, et al., “Assessment of Breast Cancer Induced Bone Quality Changes Using Raman Spectroscopy,” in Biomedical Optics and 3-D Imaging, OSA Technical Digest (Optical Society of America, 2012), paper JM3A.43.


A.J. Makowski, et al., “In vivo analysis of laser preconditioning in incisional wound healing of wild-type and HSP70 knockout mice with Raman spectroscopy,” Lasers in Surgery and Medicine, 44, 233 (2012).


P.I. Okagbare and M.D. Morris, “Polymer-capped fiber-optic Raman probe for in-vivo non-invasive Raman tomography and spectroscopy”, Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82076J (2012).


M. Almond, et al., “Preclinical evaluation of a Raman spectroscopic probe for endoscopic classification of oesophageal pathologies”, Proc. SPIE 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry, 82190L (2012).


A.J. Makowski, et al., “Polarization control of Raman spectroscopy optimizes the assessment of bone tissue,” Journal of Biomedical Optics 18(5), 055005 (24 May 2013).


A.J. Makowski, et al., “Polarization in Raman spectroscopy helps explain bone brittleness in genetic mouse models,” Journal of Biomedical Optics 19(11), 117008 (2014).


M. Nitzan, et al., “Calibration-Free Pulse Oximetry Based on Two Wavelengths in the Infrared — A Preliminary Study,” Sensors, 14, 7420 (2014).


C.M. O’Brien, et al.,”Characterization of human cervical remodeling throughout pregnancy using in vivo Raman spectroscopy”, Proc. SPIE 9303, Photonic Therapeutics and Diagnostics XI, 93032F (2015).


Desroches, et al., “Characterization of a Raman spectroscopy probe system for intraoperative brain tissue classification,” Biomed. Opt. Express 6, 2380-2397 (2015).


B. Gardner, et al., “Non-invasive chemically specific measurement of subsurface temperature in biological tissues using surface-enhanced spatially offset Raman spectroscopy,” Faraday Discuss., 187, 329 (2016).


K. St-Arnaud, et al., “Wide-field spontaneous Raman spectroscopy imaging system for biological tissue interrogation,” Opt. Lett. 41, 4692 (2016).


Creecy, A., et al. “Changes in the Fracture Resistance of Bone with the Progression of Type 2 Diabetes in the ZDSD Rat,” Calcif Tissue Int, 99, 289 (2016).


S. Kim, et al, “Influence of water content on Raman spectroscopy characterization of skin sample,” Biomed. Opt. Express 8, 1130 (2017). 


C.M. O’Brien, et al. “In vivo Raman spectral analysis of impaired cervical remodeling in a mouse model of delayed parturition,” Sci Rep 7, 6835 (2017).


Desroches, et al., “Raman spectroscopy in microsurgery: impact of operating microscope illumination sources on data quality and tissue classification,” Analyst, 142, 1185 (2017).


H. Ding, et al., “Effect of physiological factors on the biochemical properties of colon tissue – an in vivo Raman spectroscopy study,” Jl. of Raman Spectroscopy, 48, 902 (2017).


A.S. Moody, et al., “Surface Enhanced Spatially Offset Raman Spectroscopy Detection of Neurochemicals Through the Skull”, Anal. Chem. 89(11), 5688–5692 (2017)


S. Shibu, et al., “Small gold nanorods with tunable absorption for photothermal microscopy in cells,” Advanced Science, 4, 1600280 (2017).


Makowski, A., et al., “Applying Full Spectrum Analysis to a Raman Spectroscopic Assessment of Fracture Toughness of Human Cortical Bone,” Applied Spectroscopy, 71(10), 2385-2394, (2017)


S.M. Lundsgaard-Nielsen, et al., “Critical-depth Raman spectroscopy enables home-use non-invasive glucose monitoring,” PLoS ONE 13(5), e0197134 (2018).


Jiang, et al., ”Surface-Enhanced Raman Nanoprobes with Embedded Standards for Quantitative Cholesterol Detection,” Small Methods,2, 1800182 (2018).


Unal, et al.“Assessing matrix quality by Raman spectroscopy helps predict fracture toughness of human cortical bone,” Sci Rep9, 7195 (2019).


O.A. Okoh, et al., ”Synthesis and photophysical properties of meso-aminophenyl-substituted heptamethine dyes as potential leads to new contrast agents,” Coloration Technology, 135, 305 (2019).


Pinto, et al., “Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures,” Journal of Biomedical Optics 24(2), 025001 (2019).


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