Potential Of Near-infrared Spectroscopy Research Articles

Near infrared spectroscopy-based method for separation of sound and insect-damaged seeds of Albizia schimperiana, a multipurpose legume

The potential of near infrared spectroscopy as a rapid method to separate sound and insect-damaged seeds of Albizia schimperiana Oliv is demonstrated. Near infrared reflectance spectra were collected on single seeds of each fraction soaked in water for one, three, six, nine and twelve hours. To separate sound and insect-damaged seeds, multivariate classification models were developed with partial least squares (PLS) regression using the digitized spectra as a regressor and a y-vector of artificial values (1 for sound and -1 for damaged seeds) as regressand. The result showed a 100% classification rate of sound and damaged seeds in test sets after 6, 9 and 12 hours of imbibition based on Hill spectrum models. A similar classification result was achieved based on selected absorption hands. PLS weights indicated that the origin of spectral differences between sound and damaged seeds is attributed to difference in relative water content. The result predicate the prospect of developing rapid filter-based sorting equipment that can easily be automated.

Acid detergent fiber analysis in oilseed Brassicas by near-infrared spectroscopy.

The potential of near infrared spectroscopy (NIRS) for determining the acid detergent fiber (ADF) in the seed of oilseed Brassica (fam. Brassicaceae) was assessed. One hundred and fifty accessions belonging to the species Indian mustard (Brassica juncea L. Czern.& Coss.), Ethiopian mustard (B. carinata A. Braun) and rapeseed (B. napus L.) were scanned by NIRS as intact and ground seed, and their ADF values were regressed against different spectra transformations by modified partial least squares regression. The coefficients of determination in the external validation (r(2)) for intact and ground seed were 0.83 and 0.85, respectively. The standard deviation to standard error of prediction ratio and range to standard error of prediction ratio were 2.40 and 10.75 for intact seed and 2.62 and 11.76 for ground seed. No significant differences in the prediction were found for both sample presentations. Effects of the C-H and O-H groups of lipids and water, respectively, as well as protein and chlorophyll, were most important in modeling these equations.

Are VEP correlated fast optical signals detectable in the human adult by non-invasive nearinfrared spectroscopy (NIRS)?

The potential of near infrared spectroscopy (NIRS) to detect vascular changes in cerebral cortical tissue elicited by functional stimulation has been established (1). The vascular response is considered the result of neuronal activity in the investigated area and forms the basis of imaging techniques such as BOLD-contrast fMRI and PET. In the animal optical methods have been shown to detect optical changes in the illuminated tissue which exactly follow the time course of electrical potential changes, thus optical techniques can potentially assess both the 'fast' neuronal and the 'slow' vascular response. Lately a group of investigators has reported data showing that the 'fast optical signal' is detectable in the adult human in response to a visual stimulus ("optical VEP" termed EROS, i.e. event related optical signal). We failed to reproduce these results, with an almost identical instrumentation and experimental protocol. The negative result is reported in this paper. To check the expected magnitude of such changes we performed a simulation based on data reported in the animal and a human head model of optical properties. The result indicates that changes in optical properties to be expected in a non-invasive approach in the human adult are about three orders of magnitude smaller than those reported previously by the group of Gratton and co-workers (2). Also they are so small that they are below the noise level of the presently available NIRS monitors.

Discrimination of viable and empty seeds of Pinus patula Schiede & Deppe with near-infrared spectroscopy

Sustainable forest production demands a continuous supply of high quality seeds for the production of seedlings in the nursery or for direct sowing. Here, we demonstrated the potential of near infrared spectroscopy as a rapid technique to discriminate viable and empty seeds of Pinus patula Schiede & Deppe. Near infrared spectra were collected from single seeds in transmittance and reflectance modes. To discriminate viable and empty seeds, multivariate classification models were developed with partial least squares (PLS) regression using the digitized spectra as a regressor and a y-vector of artificial values (1 for viable and −1 for empty seeds) as a regressand. Viable and empty seeds were perfectly distinguished by PLS models computed on full and selected transmittance spectroscopy data, while those derived from ‘full’ NIR reflectance spectra recognized 96 % of viable and 88 % of empty seeds. Analyses made on selected NIR reflectance spectra improved the classification rate of empty seeds to 100%. Difference spectra and PLS weights indicated that the origin of spectral differences between viable and empty seeds was attributed to differences in fatty acids and proteins that were totally absent in empty seeds. The result shows the prospect of developing rapid filter-based sorting equipment that can easily be automated.

POTENTIAL OF NEAR INFRARED SPECTROSCOPY FOR NONDESTRUCTIVE ESTIMATION OF 0BRIX IN STRAWBERRIES

POTENTIAL OF NEAR INFRARED SPECTROSCOPY FOR NONDESTRUCTIVE ESTIMATION OF 0BRIX IN STRAWBERRIES

Near infrared spectroscopic assessment of hemodynamic changes in the early post-burn period

Near infrared reflectance spectroscopy and imaging was used to assess non-invasively the hemodynamic changes that occur in the early post-burn period in cutaneous burn injuries of varying depth. An acute porcine model was used to demonstrate the potential of near infrared spectroscopy and imaging to accurately determine the change in tissue oxygenation, blood volume and tissue water content following a thermal injury. Near infrared spectroscopy was used to monitor tissue at discrete locations, while spectroscopic imaging was able to survey large areas of tissue. Both methods were rapid and non-invasive. Tissue hemoglobin oxygen saturation, total hemoglobin and tissue water content were all affected by thermal injury and changed significantly over a 3 h post-burn monitoring period. Burns that ranged in severity between superficial and full thickness displayed a significantly different hemodynamic response. When the early post-burn profiles (1–3 h) of tissue hemoglobin oxygen saturation, total hemoglobin and tissue water content were considered jointly, injuries leading to superficial, intermediate partial thickness, deep partial thickness and full thickness burns could all be differentiated at high statistical significance. These results suggest that non-invasive hemodynamic monitoring in the early post-burn period using near infrared spectroscopy may be of value in the early assessment of burn injury.

Somatic cell count determination in cow's milk by near-infrared spectroscopy: a new diagnostic tool.

The potential of near-infrared spectroscopy (NIR) in the region from 1,100 to 2,500 nm to measure somatic cell count (SCC) content of cow's milk was investigated. A total of 196 milk samples from seven Holstein cows were collected for 28, consecutive days, starting from 7th d after calving, and analyzed for fat, protein, lactose, and SCC. Three of the cows were healthy, and the remainder had periods of mastitis during the experiment. Near-infrared transflectance milk spectra were obtained using an InfraAlyzer 500 spectrophotometer. The calibration for logSCC was performed using partial least square (PLS) regression and different spectral data pretreatment. The best accuracy of determination was found for an equation that was obtained using smoothed absorbance data and 10 PLS factors. The standard error of calibration was 0.361, the calibration coefficient of multiple correlation was 0.868, the standard error of prediction for independent validation set of samples was 0.382, the correlation coefficient was 0.854, and the coefficient of variation was 7.63%. The accuracy of logSCC determination by NIR spectroscopy would allow health screening of cows and differentiation between healthy and mastitic milk samples. It has been found that SCC determination by NIR milk spectra is based on the related changes in milk composition. The most significant factors that simultaneously influenced milk spectra with the elevation of SCC were alteration of milk proteins and changes in ionic concentration of milk.

Near infrared spectroscopy for biomonitoring: cow milk composition measurement in a spectral region from 1,100 to 2,400 nanometers.

The potential of near infrared spectroscopy (NIRS; 1,100 to 2,400 nm) to measure fat, total protein, and lactose content of nonhomogenized milk during milking and the influence of individual characteristics of each cow's milk on the accuracy of determination were studied. Milk fractions were taken during milking, twice per month, for 6 mo. Samples were taken every 2nd and 4th wk at the morning and the evening milkings. Teatcups were removed at each 3 L of milk yield as determined with a fractional sampling milk meter. A total of 260 milk samples were collected and analyzed with an NIRSystem 6500 spectrophotometer with 1-mm sample thickness. Partial least squares (PLS) regression was used to develop calibration models for the examined milk components. The comparison with the reference method was based on standard error of cross validation (SECV). The obtained SECV varied from .107 to .138% for fat content, from .092 to .125% for total protein, and from .066 to .096% for lactose content, and the accuracy of the reference method (AOAC, 1990, method No 972.16) was .05% for all measured milk components. The obtained models had lower SECV when an individual cow's spectral data were used for calibration. The reduction of SECV for each cow's individual calibration, when compared with SECV for the set of all samples, differed with the different constituents. For fat content determination, the reduction reached 22.46%, for protein 26.40%, and for lactose 31.25%. This phenomena was investigated and explained by principle component analysis (PCA) and by comparing loading of PLS factors that account for the most spectral variations for each cow and the measured milk components, respectively. The results of this study indicated that NIRS (1,100 to 2,500 nm, 1-mm sample thickness) was satisfactory for nonhomogenized milk compositional analysis of milk fractions taken in the process of milking.

Near-Infrared Spectroscopic Assessment of Tissue Hydration Following Surgery

Near-infrared reflectance spectroscopy and imaging were used to assess tissue hydration following elevation of reverse McFarlane dorsal rat skin flaps (N = 6). A quantitative measure of tissue water content was derived using the integrated intensities of the strong absorption bands of water centered at 970 and 1450 nm. Near-infrared spectroscopy monitored tissue hydration at discrete locations, while imaging provided hydration maps of cutaneous tissues. Both methods were rapid and noninvasive. The near-infrared results were compared to laser Doppler flux measurements. Significant changes in tissue hydration were observed upon surgical elevation with substantial regional variation along the skin flap. These results indicate the potential of near-infrared spectroscopy and imaging to monitor tissue hydration changes in the skin following surgery.

Continuous measurement of cerebral oxygenation by NIRS during induction of anaesthesia.

Continuous intraoperative monitoring of cerebral oxygenation is not routine because existing techniques are either invasive, require a prolonged period of equilibration or involve the use of ionizing radiation. The potential of near infrared spectroscopy (NIRS) as a non invasive tissue oxygenation monitor was first outlined by Jobsis (Jobsis, 1977). NIRS enables the continuous measurement of oxyhaemoglobin (HbO2) and deoxyhaemoglobin (Hb). To date most of the studies that have used NIRS during anaesthesia have considered either the effects on cerebral dynamics of extreme manoeuvres, such as clamping of a carotid artery and induction of ventricular fibrillation (Kirkpatrick et al., 1995; Mason et al., 1994; Williams et al., 1995; Levy et al., 1995), or have been confined to measuring cerebral blood flow (CBF) or cerebral blood volume (CBV) (Owen-Reece et al., 1994; Owen-Reece et al., 1996).

Prediction of sensory characteristics of beef by near-infrared spectroscopy

Sensory hardness, tenderness and juiciness of M. Longissimus dorsi muscles from 10 beef carcasses at three ageing stages were predicted by near-infrared (NIR) spectroscopic analysis in the reflection (NIRR) and transmission modes (NIRT) during 14 days ageing at 2°C. Predicting the sensory variables hardness and tenderness from NIRR measurements using principal component regression (PCR), yielded correlation coefficients in the range 0·80–0·90. The root mean square errors of prediction for the predictions of hardness and tenderness were in the range 0·5–0·7, given in sensory assessment units. Juiciness was not well predicted. Prediction of sensory variables from NIRT measurements did not give satisfactory results. Including samples from all carcasses, cows and young bulls in the models resulted in good predictions from NIRR measurements of frozen and thawed samples. However, the best prediction results were generally obtained from separate calibrations of the samples from the bulls. The potential of NIR spectroscopy in the prediction of sensory variables in whole meat needs to be further investigated on a larger number of samples with different breeds, animals and process treatments included.

The investigation of osteoradionecrosis of the mandible by near infrared spectroscopy

The results of near infrared spectroscopy in eight patients with osteoradionecrosis of the mandible are presented. These suggest that sites of osteoradionecrosis may be marked by decreased amounts of deoxygenated haemoglobin. The advantages and potential of near infrared spectroscopy are discussed but the technique requires further refinement.