Diagnosing COVID-19 in human serum using Raman spectroscopy.

This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.

Temperature-Induced Chemical Changes in Lubricant Automotive Oils Evaluated Using Raman Spectroscopy.

Automotive engine lubricating oils are not only intended to reduce friction between parts, but also act on the cooling of motor components and protection of metals against corrosion. To improve its properties and efficiency, additives are added to the base oil for different goals. However, over time of use, external factors modify its properties, such as the engine operating temperature, the frictional force between parts, the mixture of this oil with fuel before burning and with combustion products, causing loss of their efficiency. This work aimed to evaluate, with Raman spectroscopy technique, the temperature-induced changes related to degradation of mineral, semi-synthetic and synthetic automotive lubricating oils. Samples being subject to periodic heating cycle were kept to average temperature of 133 ℃, considering 8 h per day, for six days, until complete 48 h of heating. By analyzing the Raman spectra, it was possible to identify common peaks between the three types of oils and changes caused by heating cycles. Principal components analysis showed that the synthetic oil degraded in less extent than the semi-synthetic one, and this one degraded less than the mineral oil. Spectral models to predict the heating time based on the spectral variations identified using principal components analysis and the regression done using partial least squares, using the heating time as independent variable and the spectral features as dependent variables, was able to predict the heating time for each of oil types with high correlation and prediction error (r > 0.97 and error <4.0 h) for both principal components analysis and partial least squares regression models. Raman technique was able to identify chemical changes resulting from the heating of lubricant oils and to correlate these changes with the heating time, thus becoming a technique of interest for the preventive maintenance area.

Could the bone mineral density (T-score) be correlated with the Raman spectral features of keratin from women's nails and be used to predict osteoporosis?

Osteoporosis is a disease with great importance in current public health due to the associated risk of fracture; therefore, a rapid and accurate diagnosis becomes increasingly important. Recent literature has described a possible relationship between the changes in the organic phase of bone and the changes in nail keratin measured through Raman spectroscopy, aiming at the development of a standard for measuring bone quality and fracture risk both rapid and accurately. This work evaluated the correlation between the bone mineral density (BMD) scores of women with and without osteoporotic disease with the changes in the Raman spectra of the nail keratin, by assessing the intensity of the peak at 510 cm(-1) (S-S bridge) and the scores of principal component analysis (PCA), correlated with the values of BMD measured at the lumbar and hip. Raman spectra of ex vivo fingernails of 213 women were obtained by means of a dispersive Raman spectrometer (830 nm, 300 mW, in the spectral range between 400 and 1,800 cm(-1)). Peak intensities at ∼510 cm(-1) (assigned to the keratin S-S bridge) were measured, and the scores of first principal component loading vectors were calculated. Results showed no differences in the mean Raman spectra of nails of groups with and without osteoporosis. No correlation was found between the BMD scores and both the intensities of the 510 cm(-1) peak and the scores of the first four principal component vectors. Results suggest that BMD and fracture risk could not be assessed by the nail keratin features.

Identification of different forms of cocaine and substances used in adulteration using near-infrared Raman spectroscopy and infrared absorption spectroscopy.

Identification of cocaine and subsequent quantification immediately after seizure are problems for the police in developing countries such as Brazil. This work proposes a comparison between the Raman and FT-IR techniques as methods to identify cocaine, the adulterants used to increase volume, and possible degradation products in samples seized by the police. Near-infrared Raman spectra (785 nm excitation, 10 sec exposure time) and FT-IR-ATR spectra were obtained from different samples of street cocaine and some substances commonly used as adulterants. Freebase powder, hydrochloride powder, and crack rock can be distinguished by both Raman and FT-IR spectroscopies, revealing differences in their chemical structure. Most of the samples showed characteristic peaks of degradation products such as benzoylecgonine and benzoic acid, and some presented evidence of adulteration with aluminum sulfate and sodium carbonate. Raman spectroscopy is better than FT-IR for identifying benzoic acid and inorganic adulterants in cocaine.

Discrimination of prostate carcinoma from benign prostate tissue fragments in vitro by estimating the gross biochemical alterations through Raman spectroscopy.

Raman spectroscopy has been proposed for detecting biochemical alterations in prostate cancer (PrCa) compared to benign prostate tissue in in vitro fragments from surgery for diagnostic purposes. Freezer-stored fragments of human prostate tissues were unfrozen and submitted to Raman spectroscopy with a dispersive spectrometer (830-nm and 200-mW laser parameters, 30-s exposure time). Fragments were fixed and submitted to histopathology to grade PrCa according to Gleason score. A total of 160 spectra were taken from 32 samples (16 benign tissues and 16 PrCa tissues). The relative concentrations of selected biochemicals were estimated using a least-squares fitting model applied to the spectra of pure compounds and the tissue spectrum. A discrimination model was developed employing the most statistically relevant compounds with capability of separating PrCa from benign tissues. The fitting model revealed that actin, hemoglobin, elastin, phosphatidylcholine, and water are the most important biochemicals to discriminate prostate depending on the Gleason score. A discrimination based on Euclidean distance using the relative concentrations of phosphatidylcholine and water showed the higher accuracy of 74 % to discriminate PrCa from benign tissue. Raman spectroscopy is an analytical technique with possibility for identifying biochemical constitution of prostate and could be used for diagnostic purposes.

Discriminating model for diagnosis of basal cell carcinoma and melanoma in vitro based on the Raman spectra of selected biochemicals.

Raman spectroscopy has been employed to identify differences in the biochemical constitution of malignant [basal cell carcinoma (BCC) and melanoma (MEL)] cells compared to normal skin tissues, with the goal of skin cancer diagnosis. We collected Raman spectra from compounds such as proteins, lipids, and nucleic acids, which are expected to be represented in human skin spectra, and developed a linear least-squares fitting model to estimate the contributions of these compounds to the tissue spectra. We used a set of 145 spectra from biopsy fragments of normal (30 spectra), BCC (96 spectra), and MEL (19 spectra) skin tissues, collected using a near-infrared Raman spectrometer (830 nm, 50 to 200 mW, and 20 s exposure time) coupled to a Raman probe. We applied the best-fitting model to the spectra of biochemicals and tissues, hypothesizing that the relative spectral contribution of each compound to the tissue Raman spectrum changes according to the disease. We verified that actin, collagen, elastin, and triolein were the most important biochemicals representing the spectral features of skin tissues. A classification model applied to the relative contribution of collagen III, elastin, and melanin using Euclidean distance as a discriminator could differentiate normal from BCC and MEL.

Discrimination of basal cell carcinoma and melanoma from normal skin biopsies in vitro through Raman spectroscopy and principal component analysis.

OBJECTIVE: Raman spectroscopy has been employed to discriminate between malignant (basal cell carcinoma [BCC] and melanoma [MEL]) and normal (N) skin tissues in vitro, aimed at developing a method for cancer diagnosis. BACKGROUND DATA: Raman spectroscopy is an analytical tool that could be used to diagnose skin cancer rapidly and noninvasively. METHODS: Skin biopsy fragments of ≈ 2 mm(2) from excisional surgeries were scanned through a Raman spectrometer (830 nm excitation wavelength, 50 to 200 mW of power, and 20 sec exposure time) coupled to a fiber optic Raman probe. Principal component analysis (PCA) and Euclidean distance were employed to develop a discrimination model to classify samples according to histopathology. In this model, we used a set of 145 spectra from N (30 spectra), BCC (96 spectra), and MEL (19 spectra) skin tissues. RESULTS: We demonstrated that principal components (PCs) 1 to 4 accounted for 95.4% of all spectral variation. These PCs have been spectrally correlated to the biochemicals present in tissues, such as proteins, lipids, and melanin. The scores of PC2 and PC3 revealed statistically significant differences among N, BCC, and MEL (ANOVA, p<0.05) and were used in the discrimination model. A total of 28 out of 30 spectra were correctly diagnosed as N, 93 out of 96 as BCC, and 13 out of 19 as MEL, with an overall accuracy of 92.4%. CONCLUSIONS: This discrimination model based on PCA and Euclidean distance could differentiate N from malignant (BCC and MEL) with high sensitivity and specificity.

Differential diagnosis between experimental endophthalmitis and uveitis in vitreous with Raman spectroscopy and principal components analysis.

Raman spectroscopy has been used for the diagnosis of various eye diseases. A diagnostic tool based on Raman spectroscopy has been developed to discriminate endophthalmitis from uveitis in vitreous tissues of rabbits' eyes in vitro. Twenty-two New Zealand rabbits suffering from endophthalmitis induced by Staphylococcus aureus (n=10), non-infectious uveitis induced by lipopolysaccharide from Escherichia coli (LPS) (n=10 animals) and control (n=2) were included in the study. After eye inoculation, vitreous tissues were dissected and a fragment was submitted to dispersive Raman spectroscopy using near-infrared laser excitation (830 nm, 100 mW) and spectrograph/CCD camera for detection of Raman signal with integration time of 50 s. A routine was developed to classify the spectra of endophthalmitis and uveitis using principal components analysis (PCA) and Mahalanobis distance. The mean Raman spectra of tissues with uveitis and endophthalmitis showed several bands in the region of 800-1800 cm(-1), which have been attributed to nucleic acids, amino acids and proteins from inflamed tissue and proliferating bacteria. The bands at 1004, 1258, 1339, 1451 and 1635 cm(-1) showed statistically significant differences between both diseases. It was observed that principal components PC1, PC3 and PC4 showed statistically significant differences for the two tissue types, indicating that these PCs can be used to discriminate between the two groups. The diagnostic model showed 94% sensitivity, 95% specificity and 95% accuracy using PC3×PC4. The Raman spectroscopy technique has been shown to be useful in differentiating uveitis and endophthalmitis in vitreous tissues in vitro, and these results may be clinically relevant for differentiating vitreous tissues to optimise the diagnosis of inflammatory and infectious vitreoretinal diseases.

Fluorescence spectroscopy for diagnostic differentiation in uteri's cervix biopsies with cervical/vaginal atypical cytology.

This work aims the diagnostic differentiation of chronic inflammation (CC), low-grade Intraepithelial squamous lesions (LGSIL) and high-grade intraepithelial squamous lesions (HGSIL) in biopsies of cervix of uterus from patients with atypias (ASC-US and ASC-H) and lesions (LGSIL and HGSIL), traced in the cervical/vaginal cytology by using Laser-Induced Fluorescence Spectroscopy (LIFS), with 488 nm excitation wavelength. Ninety seven biopsies from 32 patients with atypical cervical/vaginal cytology were collected. The biopsies were guided by colposcopy and taken at the squamous-columnar junction. Fluorescence emission spectra of each biopsy were collected by means of an optical fiber cable coupled to an argon laser at 488 nm as excitation source and addressed to a spectrograph and CCD camera/controller. Spectra were separated into three groups, CC, LGSIL and HGSIL, based on the cytopathology. It was detected similar mean spectra profiles for CC and LGSIL, and differences for HGSIL. An algorithm was developed for tissue classification based on the intensity of the multiplication of each spectrum by the mean spectrum of each group, searching for a discriminator that would address this spectral difference. The sensitivity and specificity of HGSIL identification, compared to CC and LGSIL was 89% and 100%, respectively. The LIFS using excitation wavelength of 488 nm could be used to differentiate HGSIL lesions from LGSIL and CC inflammation, and could help a precocious and less invasive diagnosis of cervix lesions.

Laser-induced fluorescence at 488 nm excitation for detecting benign and malignant lesions in stomach mucosa.

This work aims the detection of the histopathologic alterations of in vitro human gastric mucosa using spectral informations from laser-induced fluorescence spectroscopy (LIFS) technique with excitation at 488 nm (argon laser). A total of 108 biopsies with endoscopic diagnosis of gastritis and gastric cancer were obtained at the antral gastric region, from 35 patients with dyspeptic digestive complaints. The biopsies were collected during the endoscopic examination. On each biopsy fragment the autofluorescence spectrum was collected in two random points, through a fiber-optic catheter coupled to the excitation laser. The fluorescence emission spectra collected by the fibers were directed to the spectrograph and detected by the CCD camera. The spectra were then separated in groups (N, normal; LI, light inflammation; MI, moderated inflammation; CA, adenocarcinoma), based on the histopathology. The ratio between the emission wavelengths 550 and 600 nm was used as a diagnostic parameter. Analysis of fluorescence spectra was able to identify the normal tissue from adenocarcinoma lesions with 100% of sensibility and specificity. The ratio intensities between inflammation (light and moderated), although presented significantly statistical differences when compared to the normal mucosa, do not furnish enough sensibility and specificity for use as an identification method due to high variations. LIFS, with excitation of 488 nm, could be used in the differentiation of normal tissue and neoplasic lesions, assisting a less invasive diagnosis.

Identification of calcifications in cardiac valves by near infrared Raman spectroscopy.

OBJECTIVE: The objective of this work was to detect calcification in cardiac valves using near infrared Raman spectroscopy (NIRS). A Ti:sapphire laser pumped by an argon-ion laser operating at a wavelength of 830 nm was used for excitation of the valve samples, and Raman emission was detected by an optical spectrometer with a liquid nitrogen-cooled CCD detector. BACKGROUND: Cardiac valves are subjected to highly repetitive mechanical stresses, due to their over 40 million cardiac cycles per year. These structures may suffer cumulative lesions, complicated by the deposition of calcium phosphate, which can lead to clinically significant diseases. NIRS can provide important information about biological tissue composition and has been used for diagnosis of some types of human pathology. METHODS: Samples of normal and pathologic tissues 5 mm in size were analyzed. RESULTS: It was observed that the Raman spectrum of calcified cardiac valves presented different behavior when compared with normal valves. Differences were observed at the intensity of 960, 1,260, 1,452, and 1,660 cm(1) peaks. CONCLUSIONS: These results suggest that this technique could be used to detect calcium phosphate mineral deposition in cardiac valves.

Comparison between wound healing in induced diabetic and nondiabetic rats after low-level laser therapy.

OBJECTIVE: The aim of this work was to compare the effect of low-level laser therapy (LLLT) on the wound healing process in nondiabetic and diabetic rats. BACKGROUND DATA: Among the clinical symptoms caused by diabetes mellitus, a delay in wound healing is a potential risk for patients. It is suggested that LLLT can improve wound healing. METHODS: The tissue used for this study was extracted from animals suffering from diabetes, which was induced by Streptozotocin, and from nondiabetic rats. Animals were assembled into two groups of 25 rats each (treated and control) and further subdivided into two groups: diabetic (n = 15) and nondiabetic (n = 10). A full-thickness skin wound was made on the dorsum area, with a round 8-mm holepunch. The treated group was irradiated by a HeNe laser at 632.8 nm, with the following parameters: 15 mW, exposition time of 17 sec, 0.025 cm2 irradiated area, and energy density of 10 J/cm2. Square full-thickness skin samples (18 mm each side, including both injured and noninjured tissues) were obtained at 4, 7, and 15 days after surgery and analyzed by qualitative and quantitative histological methods. RESULTS: Quantitative histopathological analysis confirmed the results of the qualitative analysis through histological microscope slides. When comparing tissue components (inflammatory cells, vessels and fibroblast/area), we found that treated animals had a less intense inflammatory process than controls. CONCLUSION: Results obtained by both qualitative and quantitative analyses suggested that irradiation of rats with HeNe (632.8 nm), at the tested dose, promoted efficient wound healing in both nondiabetic and diabetic rats as, compared to the control group.

XeCl excimer laser ablation of rabbit tibia bone: morphology of the irradiated site and self-limiting effect.

OBJECTIVE: The purpose of this work is to investigate the morphological changes of the rabbit tibia bone submitted to osteotomy with XeCl excimer laser. BACKGROUND DATA: Laser ablation of tissue is a relevant clinical application of high-power lasers. Due to the variety of laser wavelengths and properties of biological targets, the subject has not yet been completely explored. METHODS: In this study, four tibias were irradiated with six different durations. The applied energy density was 6.7 J/cm(2) per pulse at a 4-Hz repetition rate. RESULTS: The 24 samples had similar and well-defined craters that were free of carbonization. The ablation rates per pulse, at 60-120 seconds, were 3.8 and 1.9 microm at the compact bone and the marrow tissue, respectively. The ablation process ceased after 120 sec, with a 1.6-mm crater depth. CONCLUSIONS: In the present study, the laser used showed a self-limiting characteristic, which is a phenomenon that can be of great value in preserving important structures close to the working area, giving a margin of safety to the surgeon, in case of over-irradiation. This self-limiting effect is attributed to liquid filling the cavity by the bleeding and irrigation process.

[Detection of induced neoplastic lesions in the oral mucosa of hamsters using fluorescence spectroscopy]. / Detecção de lesões neoplásicas induzidas em mucosa oral de hamster utilizando espectroscopia de fluorescência.

OBJECTIVE: This work analyzes use of the Laser Induced Fluorescence Spectroscopy technique for characterization of normal and neoplastic tissue in the oral mucosa of hamsters, with potential to diagnose neoplastic tissue in vivo. METHODS: Carcinogen DMBA was applied to the right cheek of 31 hamsters weighing 150 +/- 10g, three times per week during 12 weeks. One animal was kept as a control (without application of the drug). At the end of this period, the animals were submitted to fluorescence spectroscopy excited by an argon laser (488nm) connected to an optical fiber cable. Tissue autofluorescence was analyzed by a spectrograph and a CCD camera with 1024X256 pixels covering the spectral range of 550nm to 700nm. Fluorescence emission spectra were collected in the induced region and normal counter side cheek of all the animals and also in the control animal. After spectroscopy, biopsy was carried out for histopathological analysis. Two diagnosis algorithms, one based on the ratio of spectral regions and another based on Principal Components Analysis (PCA) were implemented. RESULTS: Spectral analysis had demonstrated existence of an intense peak in the region of 630nm in neoplastic tissues (attributed to protoporphyrin IX) when compared to the normal tissue. The algorithm based on the ratio of two spectral regions had 100% of sensitivity and specificity. The algorithm based on the PCA had 94% and 100% of specificity and sensitivity, respectively. CONCLUSIONS: This work indicates that tissue autofluorescence may be used as a non-invasive technique for diagnosis of the neoplastic oral mucosa.

Detecção de lesões neoplásicas induzidas em mucosa oral de hamster utilizando espectroscopia de fluorescência / Detection of induced neoplastic lesions in the oral mucosa of hamsters using fluorescence spectroscopy

OBJETIVO: Este trabalho teve por objetivo a utilização da técnica de espectroscopia de fluorescência induzida por laser para a caracterização de tecido normal e neoplásico em mucosa jugal de hamster, visando diagnosticar tecidos neoplásicos in vivo. MÉTODOS: O carcinógeno DMBA foi aplicado na bochecha direita de 31 hamsters com 150 ± 10g, três vezes por semana durante 12 semanas. Um animal foi mantido como controle (sem aplicação da droga). Após este período, os animais foram submetidos à espectroscopia de fluorescência induzida por laser de argônio (488nm), acoplado a um cabo de fibras ópticas. A autofluorescência do tecido foi guiada pelo cabo de fibras e analisada por um espectrógrafo e uma câmera CCD 1024X256 pixels, cobrindo a faixa espectral de 550nm a 700nm. Os espectros foram coletados na área da lesão induzida e na bochecha contralateral (normal) de todos os animais, além do animal de controle. Subseqüente à espectroscopia, foi realizada a biópsia da lesão para a análise histopatológica. Dois algoritmos de diagnóstico dos espectros de tecido neoplásico, baseados na razão entre regiões espectrais e na técnica de análise das componentes principais (PCA) foram implementados. RESULTADOS: Foi demonstrada a existência de um pico intenso na região de 630nm nos tecidos neoplásicos (atribuído à protoporfirina IX), quando comparados com o tecido normal. O algoritmo baseado na razão entre regiões espectrais obteve 100 por cento de sensibilidade e especificidade. O algoritmo baseado na PCA obteve 94 por cento e 100 por cento de sensibilidade e especificidade, respectivamente. CONCLUSÕES: Este trabalho indica que a autofluorescência de tecidos da mucosa oral poderá ser utilizada como uma técnica não-invasiva de diagnóstico, com alta sensibilidade e especificidade.

Avaliação do ácido láctico intramuscular através da espectroscopia Raman: novas perspectivas em medicina do esporte / Intramuscular lactic acid assessment through Raman spectrography: new perspectives in sports medicine

O uso da espectroscopia Raman no infravermelho pode vir a constituir uma nova técnica para avaliação física, permitindo medidas da concentração de ácido láctico em sangue e em músculo esquelético, por um método não invasivo. A espectroscopia Raman é uma técnica que oferece grande riqueza de detalhes provida pela vibração de moléculas em diferentes níveis de energia. Em estudos prévios, foram obtidos espectros Raman de ácido láctico em plasma humano e em sangue de rato, onde os picos característicos foram observados claramente na matriz biológica. No presente estudo a espectroscopia Raman foi usada para a identificação de ácido láctico em músculo tibial de rato. Foi usado um laser de Ti:safira sintonizado em 830nm, um espectrômetro Kaiser f/l.8 e um detector de CCD refrigerado. O espectro Raman do ácido láctico apresenta oito picos bem distintos, entre 700 e 1.500cm-1, correspondendo aos diferentes modos de vibração da molécula do ácido láctico. O pico principal em 830cm-1 foi usado para caracterizar a presença do ácido láctico no músculo tibial de rato. Foram analisados espectros Raman de músculos tibiais in vivo e in vitro. Além disso, também foi monitorada a difusão do ácido láctico através do músculo, in vitro. Pode-se concluir, a partir dos resultados obtidos, que a espectroscopia Raman no infravermelho próximo apresenta grande potencial para, no futuro, com o aperfeiçoamento da técnica, ser utilizada em avaliações físicas com o intuito de permitir medições das concentrações de ácido láctico no músculo esquelético, através de metodologia não invasiva.

Ultrastructural effects of two phthalocyanines in CHO-K1 and HeLa cells after laser irradiation.

The effects of Photodynamic Therapy using 2nd generation photosensitizers have been widely investigated aiming clinical application treatment of solid neoplasms. In this work, ultrastructure changes caused by the action of two 2nd generation photosensitizers and laser irradiation on CHO-K1 and HeLa (neoplastic) cells were analyzed by transmission electron microscopy. Aluminum phthalocyanine chloride, aluminum phthalocyanine tetrasulfonate chloride and radiation from a semiconductor laser at a fluency of 0.5 J/cm2 (Power=26 mW; lambda=.670 nm) were used. The results showed induction of apoptosis. Such alterations where observed in HeLa but not in CHO-K1 cells after Aluminum phthalocyanine tetrasulfonate chloride (AlPcS4, photodynamic treatment. The Aluminum phthalocyanine chloride (AlPc) photodynamic treatment induced necrosis on the neoplastic cell line, and cytoplasm and nuclear alterations on the normal cell line.

Ultrastructural effects of two phthalocyanines in CHO-K1 and HeLa cells after laser irradiation.

The effects of Photodynamic Therapy using 2nd generation photosensitizers have been widely investigated aiming clinical application treatment of solid neoplasms. In this work, ultrastructure changes caused by the action of two 2nd generation photosensitizers and laser irradiation on CHO-K1 and HeLa (neoplastic) cells were analyzed by transmission electron microscopy. Aluminum phthalocyanine chloride, aluminum phthalocyanine tetrasulfonate chloride and radiation from a semiconductor laser at a fluency of 0.5 J/cm2 (Power=26 mW; lambda=.670 nm) were used. The results showed induction of apoptosis. Such alterations where observed in HeLa but not in CHO-K1 cells after Aluminum phthalocyanine tetrasulfonate chloride (AlPcS4, photodynamic treatment. The Aluminum phthalocyanine chloride (AlPc) photodynamic treatment induced necrosis on the neoplastic cell line, and cytoplasm and nuclear alterations on the normal cell line.

Filtragem de sinais Raman de tecidos biológicos para reduçäo de ruído e background / Filter of Raman signals of biological tissue for background and noise reduction

A redução do tempo de aquisição do sinal e processamento de espectros Raman obtidos à partir de tecidos biológicos é um passo importante para se tornar os sistemas laboratoriais uma ferramenta clínica. Neste trabalho é apresentado a extração de fluorescência e ruído de um espectro Raman de uma coronária humana.

Sensor de Pressäo a fibra óptica de média birrefringência / Pressure sensor and medium birefringence optical fiber

Neste trabalho são apresentados e discutidos os resultados experimentais de um sistema para medida e peso para aplicações ergométricas, utilizando fibra óptica de média birrefrigência. O sensor de 10cm de comprimento contém uma fibra óptica monomodo com comprimento de onda de corte de 1,24 mum, operando com um laser semicondutor emitindo em 1,3 mum. Os resultados experimentais mostram que o sistema responde sem redundância na faixa de 0 a 130 Kg, com sensibiidade de aferir variações de dezenas de gramas.

- ln this work the experimental results for a weighing sensor for ergometric applications using medium birefringence optical fíber are presented. The sensor is 1 Ocm long and it has a singlemode optical fiber inside, with 1.24 cutoff wavelength, and a semiconductor laser emitting at 1.3 pm. The experimental results show that the system works without redundancy from O to 130 kg, with a sensibility good enough to detect variations of order of O.O 1 Kg.