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The role of point-of-care (POC) diagnostics is important in public health. With the support of smartphones, POC diagnostic technologies can be greatly improved. This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions. As a tool, the smartphone is regarded as part of a compact, portable, and low-cost system for real-time POC, even in areas with few resources. By combining near-infrared (NIR) imaging, measurement, and spectroscopy techniques, pathogens can be detected with high sensitivity. The whole process is rapid, accurate, and low-cost, and will set the future trend for POC diagnostics. In this review, the development of smartphone-based NIR fluorescent imaging technology was described, and the quality and potential of POC applications were discussed.
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Objective@#To systematically evaluate the diagnostic value of optical imaging combined with indocyanine green (ICG)-guided sentinel lymph node (SLN) biopsy in gastric cancer, and to identify potential factors that would influence diagnostic accuracy.@*Methods@#Study was carried out by searching the electronic database of PubMed, Embase, Medline, Web of Science, and the Cochrane Library with keywords as "gastric/stomach" and "cancer/carcinoma/tumor/tumour/adenocarcinoma/neoplasm" and "sentinel lymph node" and "near-infrared/NIR or fluorescent imaging" and "indocyanine green/ICG" . Literature inclusion criteria: (1) gastric cancer clinical stage was cT0-3; (2) clinical stage determined by at least 2 kinds of imaging modalities; (3) optical imaging (near-infrared or fluorescence imaging) combined with ICG-guided SLN biopsy; (4) prospective study to predict lymph node metastasis; (5) intraoperative or postoperative pathology for all lymph nodes removed; (6) patients number in the literature >10 cases. Exclusion criteria: (1) patients with a history of ICG allergy or chemoradiotherapy; (2) previous history of endoscopic mucosal resection or endoscopic submucosal dissection; (3) patients with a variety of gastrointestinal tumor; (4) case reports, conference abstracts, clinical guidelines, editorials, reviews, meta-analysis and correspondence letters; (5) in vitro or animal experiments; (6) insufficient diagnostic efficacy data. The meta-analysis was performed in the Stata12.0 software using the "bivariate mixed-effects model" combined with the "midas" command to pool the data. Information such as true positive value, false positive value, false negative value, and true negative value of each included articles were extracted. The literature quality assessment map was drawn to describe the overall quality of the articles; the heterogeneity analysis was performed with the forest map, with P<0.01 considered as statistical significance; the funnel plot was used to describe publication bias, with P<0.1 considered as statistically significant. Area under curve (AUC) of summary receiver operator characteristic (SROC) was used to describe the diagnostic accuracy and the AUC closer to 1 indicated higher diagnostic accuracy. If there was heterogeneity (I2>50%) among studies, regression analysis and subgroup analysis were performed. P<0.05 was considered as statistically significant.@*Results@#A total of 15 studies (1020 patients) were included. The optical imaging contained near-infrared (NIR) and fluorescent imaging (FI). The diagnostic value of optical imaging combined with ICG-guided SLN biopsy in gastric cancer was as follows: the pooled sensitivity (Sen) was 0.95 (95% CI: 0.82 to 0.99), specificity (Spe) was 1.00 (95% CI: 0.92 to 1.00), positive likelihood ratio (PLR) was 30.39 (95% CI: 9.14 to 101.06), negative likelihood ratio (NLR) was 0.05 (95% CI:0.01 to 0.20), diagnostic odds ratio (DOR) was 225.54 (95% CI: 88.81 to 572.77), AUC was 1.00 (95% CI: 0.99 to 1.00), threshold value was sensitivity=0.95 (95% CI: 0.82 to 0.99) and specificity=1.00 (95% CI: 0.92 to 1.00). Deeks method revealed DOR funnel plot of SLN biopsy was not asymmetrical obviously with significant difference (P=0.01), which indicated remarkable publishing bias. Meta-subgroup analysis showed that compared to FI, NIR imaging had higher sensitivity (0.98 vs. 0.73); compared to 0 minutes, optical imaging performed 20 minutes after ICG injection had higher sensitivity (0.98 vs. 0.70); compared to mean detected number of SLN of 4, mean detected number≥4 had higher sensitivity (0.96 vs. 0.68); compared to HE stain, immunohistochemistry + HE had higher sensitivity (0.99 vs. 0.84); compared to subserous injection of ICG, submucosa injection of ICG had higher sensitivity (0.98 vs. 0.40); compared to injection of 5 g/L ICG, 0.5 g/L and 0.05 g/L had higher sensitivity (0.98 vs. 0.83); compared to cT2-3 tumor, early stage (cT1) tumor had higher sensitivity (0.96 vs. 0.72); compared to ≤ enrolled 26 cases in the study, > 26 cases had higher sensitivity (0.96 vs. 0.65); compared to papers before 2010, papers after 2010 had higher sensitivity (0.97 vs. 0.81); whose differences were all significant. Sensitivity differences between mean tumor diameter of ≤30 cm and >30 cm, open surgery and laparoscopic surgery, lymph node regional dissection and retrieved dissection were not significant (all P>0.05).@*Conclusions@#Optical imaging combined with ICG-guided SLN biopsy is clinically feasible, and especially suitable for early gastric cancer. However, the ICG being used in current studies may be overdosed. Higher sensitivity may be achieved from NIR imaging when compared with FI method.
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The quantity of biomass, glucose concentration and ethanol concentration are important parameters in ethanol fermentation. Traditional methods are usually based on samples for off-line measurement, which not only requires multiple instruments for test and analysis but also consumes notable time and effort, and therefore is inconvenient for real-time process control and optimization. In this study, an in-situ detection method based on the near-infrared (NIR) spectroscopy is proposed for measuring the above process parameters in real time. The in-situ measurement is carried out by using an immersion type NIR spectroscopy. A multi-output prediction model for simultaneously estimating the quantity of glucose, biomass and ethanol is established based on a multi-output least-squares support vector regression algorithm. The experimental results show that the proposed method can precisely measure the quantity of glucose, biomass and ethanol during the ethanol fermentation process. Compared to the existing partial-least-squares method for modeling and prediction of individual components, the proposed method could evidently improve the measurement accuracy and reliability.
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Ethanol , Fermentation , Least-Squares Analysis , Reproducibility of Results , Spectroscopy, Near-InfraredABSTRACT
Objective To develop a rapid method for the detection of toxic adulterant (diethylene glycol) in pharmaceuti-cal excipient (glycerol) .Method The detection sensitivity of Raman/near infrared (NIR) spectroscopy combined with moving window correlation coefficient (MWCC) method was evaluated .Results The detection sensitivity of Raman spectroscopy was superior to that of NIR spectroscopy and with the assistance of MWCC method ;the sensitivity had been further improved . Conclusion Raman spectroscopy has the potential to become the effective method in the on-site detection of toxic adulterant in pharmaceutical excipient .
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BACKGROUND: Near-infrared light (NIR, 0.8-1.5 micrometer light) has been used in therapeutic devices for various injuries such as infected, ischemic and hypoxic wound. NIR-emitting technology has been developed recently in Korea. We hypothesized that NIR may have an anti-inflammatory effect and investigated the effect of NIR-irradiated media on cell culture. METHODS: Three kinds of cell lines, CAPE (vascular endothelial cell), NIH3T3 (fibroblast), and RD (smooth muscle cell) cells were cultured for 4 days in 10% FBS-containing media (1x10(4) cells/well), which were irradiated or not irradiated (control) by Eco-NFIR Drive (Model #0210, Ecowavetech, Korea). The cells were stimulated by 10 mcg/mL of bacterial lipopolysaccharide (LPS) or sodium nitroprusside (SNP). Cellular proliferation was measured by methylthiazol tetrazolium assay. Expression of interleukin (IL)-1 beta and nitric oxide was measured by ELISA. Expression of cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) was measured by immunofluorescence staining. RESULTS: NIR-irradiated medium was favorable for CAPE cell proliferation (N=8, P=0.000). IL-1 beta secretion from LPS-stimulated NIH3T3 cells incubated in the NIR medium was below that of control medium (N=4, P=0.026). Nitrate production seemed to be low in NIR-irradiated medium although statistically insignificant (N=4, P=0.076). Expression of iNOS of the LPS-stimulated cells was decreased in NIR medium, however, Cox-2 expression was not different between the two media. CONCLUSIONS: NIR-irradiated medium supported vascular endothelial cell proliferation and showed an anti-inflammatory effect on fibroblast culture. These results can be used as basic data for future research on the clinical application of NIR.
Subject(s)
Animals , Cattle , Humans , Mice , Anti-Inflammatory Agents/chemistry , Cell Line , Culture Media , Cyclooxygenase 2/metabolism , Infrared Rays , Interleukin-1beta/metabolism , Lipopolysaccharides/pharmacology , Nitric Oxide/metabolism , Nitric Oxide Synthase Type II/metabolismABSTRACT
Objective To set up a new method for fast determining and identifying Xintong Oral Liquid by acousto-optic tunable filter-near infrared(AOTF-NIR)spectroscopy.Methods Identifying method by NIR spectroscopy combined with principal component analysis(PCA),and determining model of qualitative and quantitative analyses based on PLS1 algorithm.Results The XT-C identifying model could be used to identify Xintong Oral Liquid,the determining model of qualitative and quantitative analyses with better accuracy,RMSEP of the models for puerarin was 0.137 1,the determination coefficients was R2=0.984 5.The correlation coefficient of the true value and predication value from validation was r2=0.996 4.The average recovery of the predication set was 101.9%.RSD for precision was 1.98%,RSD for stability was 1.57%.Conclusion The method is a quick and simple assay technique with low cost,which is able to be used in the qualitative and quantitive analyses on Xintong Oral Liquid.
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Objective Near-infrared (NIR) spectroscopy was used as a fast analytical technique in the ethanol reflux-extraction process of red ginseng. Methods The NIR spectra of the extracting solution of red ginseng were obtained and the reference measurements of the active constituent in the extracting solution were performed by the colorimetric method. Firstly, the interference information in the spectra was detected by orthogonal signal correction (OSC) method. Then a calibration model between NIR spectra and reference measurements was established by partial least square regression. Results The results showed that the predictive accuracy of NIR calibration model used for the determination of ginsenoside in ethanol extracting process of red ginseng was good. Conclusion NIR Spectroscopy could be applied to the fast analysis for ethanol extracting processes of red ginseng.
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Objective Near-infrared (NIR) reflectance spectroscopy was used to develop a fast quality assessment method by simultaneous material identification and moisture quantification of Radix Ginseng Rubra (RGR). Methods The sample was identified by the comparison of its spectrum with a standard NIR spectral library. Similarity measurement was used as the discriminating parameter. The moisture content of sample was quantified by a partial least square (PLS) calibration model, correlative spectrum calculation was used for wavelength selection and multiplicative signal correction (MSC) was applied for pretreatment in the calibration model. Primary reference data were obtained using the traditional loss on drying (LOD) method. Results The NIR library can distinguish RGR from the counterfeit successfully. The optimized eight-factor PLS calibration model of NIR spectra has a high correlation coefficient (R=(0.999 7).) Conclusion The proposed method is rapid, accurate and can be used routinely in the traditional Chinese materia medica manufacturers for quality control of raw materials.