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Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging tool that reflects the activity and function of brain neurons by monitoring changes in brain oxygen metabolism based on the neurovascular coupling mechanism. It is non-invasive and convenient, especially suitable for monitoring neonatal brain function. This article provides a comprehensive review of research related to the developmental patterns of brain networks concerning language, music, and emotions in neonates using fNIRS. It also covers brain network imaging in neonatal care, resting-state brain network connectivity patterns, and characteristics of brain functional imaging in disease states of neonates using fNIRS.
Sujets)
Nouveau-né , Humains , Spectroscopie proche infrarouge , Encéphale/imagerie diagnostique , Émotions , Langage , TechnologieRésumé
@#Objective To evaluate the stability of polyribosylribitol phosphate(PRP),the basic structure of capsular polysaccharide of Haemophilus influenzae type b(Hib),in the preparation of Hib conjugate vaccine.Methods The structures of the prepared Hib polysaccharides,polysaccharide derivatives and protein-conjugated polysaccharides were analyzed by nuclear magnetic resonance spectroscopy(NMR).Results The detection results of the prepared Hib polysaccharides,polysaccharide derivatives and protein-conjugated polysaccharides all met the requirements of relevant standards of Chinese Pharmacopoeia(VolumeⅢ,2020 edition),and the NMR spectra showed no significant change.Conclusion The basic structure PRP of the main carbohydrate antigen of Hib conjugate vaccine had no change during the vaccine manufacturing.
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Objective Evaluation of the efficacy of high-frequency repetitive transcranial magnetic stimulation for chronic disturbance of consciousness after severe craniocerebral injury based on magnetic resonance spectroscopy.Methods The clinical data of 106 patients with chronic disturbance of consciousness after severe craniocerebral injury from January 2018 to December 2022 were retrospectively analyzed,and they were divided into control group(conventional rehabilitation treatment)and observation group(high frequency repetitive transcranial magnetic stimulation treatment)by propensity score matching method(1∶1),with 53 cases in each group.Both groups were examined by magnetic resonance spectroscopy(MRS)before and after treatment.The brain metabolic indexes[N-acetyl aspartate(NAA)/creatine(Cr)value,choline complex(Cho)/Cr value],Glasgow coma scale(GCS)score,electroencephalogram(EEG)grading,coma recovery scale(CRS-R)score,brainstem auditory evoked potential(BAEP)grading,upper limb sensory evoked potential(SSEP)grading and Cerebral blood flow perfusion index[cerebral blood volume(CBV),mean transit time(MTT),cerebral blood flow(CBF)]were compared between the two groups.Results After treatment,the NAA/Cr values of the thalamus and brainstem in the two groups increased,while the Cho/Cr values decreased,and the levels of brain metabolic indexes in the observation group were signifi-cantly better than those in the control group(P<0.05).The two groups'GCS score and CRS-R score increased,and the improvement of the observation group was better than that of the control group(P<0.05).The BAEP grading,EEG grading,and SSEP grading of the two groups improved,and those of the observation group were better than the control group(P<0.05).The CBF and CBV of the two groups increased,and MTT decreased,and the level of cere-bral blood perfusion index in the observation group was better than that in the control group(P<0.05).Conclusion High frequency repetitive transcranial magnetic stimulation has a significant effect on the recovery of patients with chronic consciousness disorders after severe craniocerebral injury.The mechanism may be related to improving the blood flow velocity of brain tissue and metabolism in the brain.
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AIM: To investigate the effects of hypobaric hypoxia in plateau on tear indexes and related anatomical structures in rabbits.METHODS: A total of 18 healthy New Zealand rabbits were selected and randomly divided into plateau group and control group, with 9 rabbits(18 eyes)in each group. The plateau group was housed in the Simulated Climate Cabin for Special Environment of Northwest of China, simulating hypobaric hypoxia at an altitude of 6 000 m. The control group was housed in a clean animal room with atmospheric pressure and oxygen. Changes in the tear meniscus height and non-invasive tear break-up time were detected by using RHCT-1 corneal topographer dry eye comprehensive analysis system, changes in tear secretion was measured by Schirmer Ⅰ test, before intervention and on the 3, 7 d, 2 and 4 wk. Meanwhile, the changes in tear composition before and after intervention in the plateau environment were analyzed using Raman Spectroscopy. The histopathological changes of the lower lid conjunctiva, cornea, lacrimal gland, and Hardarian gland were observed by hematoxylin-eosin(HE)staining after 4 wk of intervention, and the expression of mucin 5AC(MUC5AC)in conjunctiva was detected by immunohistochemistry.RESULTS: Compared with the control group, Schirmer Ⅰ test, tear meniscus height, first and average non-invasive tear break-up time in the plateau group decreased significantly since 3 d, and the difference was significant with the extension of observation time(P<0.05). The above indexes increased from 2 wk. After 4 wk of intervention, the protein and lipid content of the tear composition of rabbits in the plateau group increased, and the nucleic acid content decreased compared with the pre-intervention period. Compared with the control group, rabbits in the plateau group showed thickening of corneal stromal edema, an increase in the number of conjunctival cup cells, increase in the level of expression of MUC5AC, an increase in the level of expression of MUC5AC, an atrophy and flattening of cytoplasm in lacrimal epithelial cells, an enlargement of glandular lumen, and no obvious destructive changes in the Hardarian glands.CONCLUSION: Acute plateau environment can destroy the homeostasis of rabbit ocular surface, so that the tear secretion and the tear film stability decreases, but within a certain period of time, rabbits undergo compensation with the habituation to the hypobaric hypoxia environment, which can increase the tear secretion to a certain extent and restore the tear film stability.
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Objective@#The study aims to explore the neural mechanism of cognitive differences in college students with posttraumatic stress disorder under verbal fluency task based on functional near infrared spectroscopy (fNIRS), so as to provide neuroimaging support for the evaluation, diagnosis and treatment of posttraumatic stress disorder(PTSD).@*Methods@#Posttaumatic Stress Disorder Checklist Combat(PCL-C) was used to screen the subjects, including 21 students in PTSD group (PCL-C≥38) and 30 students in control group from September to Novenber in 2020. A 53 channel near infrared spectroscopy device was used to collect cerebral blood oxygen signals under the verbal fluency task, and correlation analysis, Mann Whitney U test and independent sample t test were performed on the results.@*Results@#The difference in the total average score of PCL-C Scale between PTSD group and the control group(46.38±6.96，25.57±6.09) was statistically significant ( t=11.33, P <0.05). Correlation analysis showed that Avg-HbO in left dorsolateral prefrontal lobe was negatively correlated with PCL-C Score ( r=-0.37, P <0.05). Mann Whitney U test showed that in the left dorsolateral prefrontal lobe (Ch6), the Avg-HbO change in PTSD group [0.19(-0.09, 0.86)mmol/(L〖KG*7〗·mm)] was significantly lower than the control group [0.79( 0.37 , 1.47)mmol/(L ·mm)] ( Z=2.16, P <0.05), which was statistically significant.@*Conclusions@#The degree of PTSD was negatively correlated with the index of oxygenated hemoglobin in the left dorsolateral prefrontal lobe, and the oxygenated hemoglobin content in the PTSD group was lower than that in the normal group. In the future, fNIRS may be used to collect blood oxygen signals from the left dorsolateral prefrontal lobe in cognitive tasks to provide imaging evidence for the identification of PTSD.
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Objective:To evaluate the diagnostic value of intestinal regional oxygen saturation（rSO 2）and fecal calprotectin in the occurrence and severity of necrotizing enterocolitis（NEC）in premature infants. Methods:A prospective observational study was conducted among premature infants admitted to Quanzhou Children's Hospital from October 2019 to December 2022. Intestinal rSO 2 was monitored within two hours of diagnosis of NEC，and fecal calprotectin was measured. Results:A total of 60 patients were included, including 30 cases with NEC and 30 cases without NEC, 14 cases of medical NEC, 16 cases of surgical NEC, and eight infants died due to NEC. Infants with NEC had lower intestinal rSO 2 [49（30，60）% vs. 66（60，69）%] and higher calprotectin levels [479（297，886）μg/g vs. 203（113，275）μg/g] than those in infants without NEC ( P<0.01). The levels of intestinal rSO 2 were lower in surgical NEC than those in medical NEC，and were lower in the death group than that in the survival group ( P<0.01)，but no similar difference was found in the levels of calprotectin. ROC curve analysis showed that intestinal rSO 2 combined with calprotectin had a sensitivity of 73%，a specificity of 100%，and the largest area under curve of 0.91 in the diagnosis of NEC. Intestinal rSO 2 had an optimal cut-off value of 31% in predicting death in infants with NEC，with a sensitivity of 100%，a specificity of 95%，and an area under curve of 0.99. Conclusion:Intestinal rSO 2 and fecal calprotectin can effectively identify the presence of NEC，and their combined detection can improve the diagnostic efficiency. Intestinal rSO 2 is a good predictor of the severity of NEC，but not fecal calprotectin.
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Emotional task is one of the main methods to study the attention bias and emotional function of affective disorder.Functional near-infrared spectroscopy(fNIRS)studies based on emotional tasks in patients with affective disorders have shown that facial emotion recognition task,the emotional stroop effect,and the emotion induction task combined with fNIRS technology have clinical value in the diagnosis and treatment of affective disorders.The defects of attention function and emotional processing in patients with affective disorders are related to abnormal activation of the left prefrontal cortex,especially the differences in brain activation patterns are related to depressive symptoms in patients with depressive disorders.The future direction of using fNIRS to study emotional tasks is to combine a variety of neuroimaging methods to conduct large-sample longitudinal cohort studies to obtain more objective bases for diagnosis and treatment,and to compare the differences in activation areas of different emotional stimulation materials.
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Currently,electroencephalogram(EEG),functional near-infrared spectroscopy(fNIRS),and functional magnetic resonance imaging have been widely studied and applied to neuropsychiatric disorders.In recent years,the devices which can realize the simultaneous acquisition of EEG and fNIRS has been developed and gradually applied in the studies on neuropsychiatric disorders.The review provides an introduction of the techniques of synchronized detection and data analysis for EEG-fNIRS,summarizes the analysis methods and new findings of the recent studies of stroke,epilepsy,and other neuropsychiatric disorders using EEG-fNIRS,and also discusses the future research directions.
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In recent years, post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) have gradually attracted the attention of scholars as common stroke-related non-motor symptoms. As an emerging non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has been widely used in the study of neurological diseases, which can evaluate the functional status and recovery of these patients by monitoring changes in cerebral blood circulation and oxygenation signals; fNIRS is now being increasingly used in PSD and PSCI studies. This review mainly focuses on the research progress of fNIRS in identifying PSD and PSCI, exploring their neural mechanisms, and evaluating treatment effects, as well as advantages, disadvantages and future development prospects of fNIRS in clinical application, so as to provide some references for research on rehabilitation of affective disorders and cognitive disorders in stroke patients.
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ObjectiveTo explore the cerebral cortex activation in different swallowing periods using functional near-infrared spectroscopy (fNIRS). MethodsFrom October to December 2023, a total of 18 healthy adults were recruited to perform four tasks of visual stimulation, chewing, tongue tip sliding and repeated swallowing during fNIRS acquisition, to calculate the cortical activation β values covering a total of 41 channels in frontal, parietal and occipital lobes. ResultsDuring the preoral period, the bilateral pre-motor and supplementary motor cortex (PSMC), bilateral inferior prefrontal gyrus, right visual association cortex (AVC), and left primary motor cortex (PMC) were significantly activated (P < 0.05). During oral preparation, the right pars triangularis (PTG), right frontal polar area (FPA), right dorsolateral prefrontal cortex (DPC), left primary somatosensory cortex (PSC), left PSMC and left PMC were significantly activated (P < 0.05). During the transition between oral and pharyngeal phases, bilateral PSMC and bilateral PMC were significantly activated (P < 0.05). Bilateral PSC, bilateral PTG, bilateral FPA, bilateral orbitofrontal area, bilateral PSMC, bilateral DPC and bilateral PMC were significantly activated during two consecutive periods of oral and pharyngeal phases (P < 0.05). ConclusionThe swallowing movement requires the coordination of the frontal, parietal and occipital cortex. The main activated brain areas are different in different swallowing stages, and the PSMC and PMC are involved in most swallowing stages.
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ObjectiveIn recent years, with the intensification of environmental issues and the depletion of ozone layer, incidence of skin tumors has also significantly increased, becoming one of the major threats to people’s lives and health. However, due to factors such as high concealment in the early stage of skin tumors, unclear symptoms, and large human skin area, most cases are detected in the middle to late stage. Early detection plays a crucial role in postoperative survival of skin tumors, which can significantly improve the treatment and survival rates of patients. We proposed a rapid non-invasive electrical impedance detection method for early screening of skin tumors based on bioimpedance spectroscopy (BIS) technology. MethodsFirstly, we have established a complete skin stratification model, including stratum corneum, epidermis, dermis, and subcutaneous tissue. And the numerical analysis method was used to investigate the effect of dehydrated and dry skin stratum corneum on contact impedance in BIS measurement. Secondly, differentiation effect of different diameter skin tumor tissues was studied using a skin model after removing the stratum corneum. Then, in order to demonstrate that BIS technology can be used for detecting the microinvasion stage of skin tumors, we conducted a simulation study on the differentiation effect of skin tumors under different infiltration depths. Finally, in order to verify that the designed BIS detection system can distinguish between tumor microinvasion periods, we conducted tumor invasion experiments using hydrogel treated pig skin tissue. ResultsThe simulation results show that a dry and high impedance stratum corneum will bring about huge contact impedance, which will lead to larger measurement errors and affect the accuracy of measurement results. We extracted the core evaluation parameter of relaxed imaginary impedance (Zimag-relax) from the simulation results of the skin tumor model. When the tumor radius (Rtumor) and invasion depth (h)>1.5 mm, the designed BIS detection system can distinguish between tumor tissue and normal tissue. At the same time, in order to evaluate the degree of canceration in skin tissue, the degree of tissue lesion (εworse) is defined by the relaxed imaginary impedance (Zimag-relax) of normal and tumor tissue (εworse is the percentage change in virtual impedance of tumor tissue relative to that of normal tissue), and we fitted a Depth-Zimag-relax curve using relaxation imaginary impedance data at different infiltration depths, which can be applied to quickly determine the infiltration depth of skin tumors after being supplemented with a large amount of clinical data in the future. The experimental results proved that when εworse=0.492 0, BIS could identify microinvasive tumor tissue, and the fitting curve correction coefficient of determination was 0.946 8, with good fitting effect. The simulation using pig skin tissue correlated the results of real human skin simulation with the experimental results of pig skin tissue, proving the reliability of this study, and laying the foundation for further clinical research in the future. ConclusionOur proposed BIS method has the advantages of fast, real-time, and non-invasive detection, as well as high sensitivity to skin tumors, which can be identified during the stage of tumor microinvasion.
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ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.
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OBJECTIVE To establish a quantitative analysis model for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos based on near-infrared spectroscopy （NIRS）， providing a new idea for the rapid quality evaluation of Farfarae Flos and its preparations. METHODS Referring to the 2020 edition of the Chinese Pharmacopoeia， the contents of the main quality control indexes tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos from 19 producing areas were determined by HPLC， drying method， hot dip method and ash assay， respectively. The NIRS data information of the medicinal herbs of Farfarae Flos was collected， and then NIRS combined with the partial least squares method was used to establish the individual quantitative analysis models of the above quality control indexes in the samples， and the predictive model of the NIRS content was obtained after sample validation with validation set. RESULTS The range for the contents of tussilagone， moisture， ethanol-soluble extract and total ash in 130 batches of Farfarae Flos were 0.051 4%-0.103 5%， 7.75%-10.93%， 20.17%-31.12%， and 7.68%-12.10%， respectively. The internal cross-validation coefficients of determination （R2） of the established models for the quantitative analysis of tussilagone， moisture， ethanol-soluble extract and total ash in Farfarae Flos were 0.985 8， 0.968 4， 0.973 4， 0.988 0， respectively； the root mean square errors of calibration （RMSEC） were 0.001 54， 0.187， 0.478， 0.127， respectively； the root mean square errors of prediction （RMSEP） were 0.001 81， 0.212， 0.543， 0.149， respectively； RMSEP/RMSEC were 1.175 3， 1.133 7， 1.136 0 and 1.173 2， respectively， which were all within a reasonable range （1＜RMSEP/RMSEC≤1.2）. The mean absolute errors between the true and model-predicted values of the above four quality control indexes in the validation set of samples were －0.000 36， 0.061 43， 0.144 00， and 0.010 43， respectively，and the mean predicted recoveries were 99.65%， 100.72%，100.66%， and 100.15%， respectively. CONCLUSIONS The established NIRS quantitative analysis model has high stability and reliable results， which can be used for the rapid batch prediction of the content of relevant quality control indexes in Farfarae Flos.
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Objective:To explore the effects of dual task training assisted by a lower limb rehabilitation robot on lower extremity mobility and the walking ability of stroke survivors.Methods:Sixty-one stroke survivors were randomly divided into a control group and an experimental group with 30 in the control group and 31 in the experimental group. In addition to routine exercise training and physical therapy, both groups were given cognitive-motor dual task training 5 times a week for 3 weeks. But only in the experimental group was the dual task training assisted by a lower limb rehabilitation robot. Both groups′ lower limb motor function, walking ability, cognition, balance and ability in the activities of daily living were evaluated before and after the experiment using the Fugl-Meyer lower extremity assessment (FMA-LE), functional ambulation categories (FAC), the digital span test (DST), the Berg Balance Scale (BBS) and the Modified Barthel Index (MBI). Additionally, 6 survivors of a right hemisphere stroke from the experimental group received cognitive-motor dual task training both with and without the robotic assistance alternately. Near-infrared functional brain imaging was applied before and after the intervention, and the functional network connectivity of the resting brains was analyzed.Results:After the intervention the average FMA-LE, FAC, BBS and MBI scores had improved in both groups, with the improvement in the experimental group significantly better than in the control group on average. In terms of cognition there was no significant difference in the DST forward and backward assessment results between the two groups. The analysis of brain network functional connectivity showed that the intensity of functional connectivity between the left prefrontal cortex (PFC) and the left premotor cortex and supplementary motor cortex (PMC/SMA) increased significantly more, on average, after training assisted by the robot.Conclusion:Dual task training with the assistance of a lower limb rehabilitation robot can effectively improve the lower limb motor function, walking, balance and ability in the activities of daily living of stroke survivors. Enhanced functional connection of the PFC and the PMC/SMA in the healthy hemisphere induced by the robot may be the cause.
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Objective:To explore any effect of repeated transcranial magnetic stimulation (rTMS) on the upper limb motor function and cerebral cortex activation of stroke survivors.Methods:Sixty stroke survivors were randomly divided into an intervention group and a control group, each of 30. In addition to routine rehabilitation training (including drug therapy, comprehensive hemiplegic limb training and physical factor therapy), the intervention group received 15 minutes of rTMS daily, five days a week for 4 weeks while the control group was given false rTMS. Upper limb motor function was evaluated before and after the treatment using the Fugl Meyer upper limb motor function rating scale (FMA-UE). Functional near-infrared spectroscopy was used to detect and compare the activation (β values) of the prefrontal cortex, the motor cortex and the primary somatosensory cortex in the 2 groups. The correlation between the FMA-UE scores and the β values was quantified.Results:①There was no significant difference in the average FMA-UE scores between the two groups before the treatment. Afterward, though both groups′ average scores had increased significantly, there was significantly greater improvement in the treatment group. ②There was also no significant difference in average β value between the two groups before the experiment, but afterward the average βs of channels 27 and 13 in the intervention group were significantly higher than in the control group. Moreover, in patients with lesion in the left brain, the β-values of CH27 and CH13 were also significantly higher than the control group ( P<0.05). ③The FMA-UE scores of the intervention group were moderately correlated with the CH27 and CH13 β values, but those of the control group were only weakly correlated with the β values of CH27. Conclusion:Transcranial magnetic stimulation activates a lesioned left brain region, improving upper limb motor function. The improvement is correlated with the activation of the left prefrontal cortex and the left primary somatosensory cortex.
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Objective:To investigate the serum metabolites and their metabolic characteristics of patients with optic neuritis.Methods:Case-control study. From January 2021 to January 2022, 9 serum specimens of diagnosed patients with optic neuritis were collected in Department of Neurology from Beijing Tongren Hospital and 9 healthy subjects as the control. Among them, there were 5 females and 4 males in the optic neuritis group, aged (35.8±12.9) years; there were 5 females and 4 males in the healthy control group, aged (32.6±8.6) years. Liquid chromatography-mass spectrometry was used to detect metabolites in serum of healthy control and patients with optic neuritis. The principal component analysis (PCA) and orthogonal partial least-squares discriminination analysis (OPLS-DA) were used to analyze the differential metabolites . The variable importance projection value of OPLS-DA model and the P value of t-test was applied to find the different metabolites. Results:Thirty-seven metabolites were finally identified from serum samples. Four metabolites with variable important in projection (VIP) values larger than 1 and P values less than 0.05 were teased out, three metabolites, LysoPC (P-16∶0), LysoPC (16∶0), LysoPC (P-18∶0) belonge to phospholipid and one metabolite was L-Threonine, they were all down-regulated. The area under curve were 0.951, 0.889, 0.963 and 0.944, respectively. Conclusion:Based on metabonomic analysis, some metabolites in serum have changed, which can provide basis for biomarkers screening of optic neuritis.
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Aims@#The natural coexistence of high humidity and warm temperatures in Malaysia and Nigeria and poor storage facilities used by most poultry feed vendors provide suitable conditions for the proliferation of aflatoxigenic fungi and aflatoxigenesis. This study aims to characterise and evaluate the toxigenicity of Aspergillus section Flavi (ASF) from Malaysian and Nigerian poultry feeds. @*Methodology and results@#This study utilised standard mycological techniques to determine the bioburden and distribution of mycoflora in 132 and 144 Malaysian and Nigerian poultry feeds, respectively. The ASF isolated from the samples were tested for aflatoxigenicity by thin-layer chromatography (TLC) and then characterised by multivariate using attenuated total reflectance fourier transformed infrared spectroscopy (ATR-FTIR). A total of 128 and 75 mould fungal isolates belonging to 12 and 11 species were obtained from the Malaysian and Nigerian samples with a bioburden ranging from 2.0 to 6.97 log CFU/g and the highest overall mean count of 5.66 ± 4.51 log CFU/g and 5.6 ± 4.76 log CFU/g, respectively. Aspergillus fumigatus, Aspergillus felis, Aspergillus flavus/parasiticus and Fusarium graminearum were predominant in poultry feeds from both countries. Overall, 16 ASF were isolated (Malaysia = 7, Nigeria = 9), of which only three produce aflatoxins. The multivariate cluster analysis of ATR-FTIR spectra showed 97.78% similarity between the toxigenic and atoxigenic ASF with primary differences at 600 to 800 cm-1 and 2927 to 4000 cm-1 only.@*Conclusion, significance and impact of study@#The bioburden of fungal flora in the samples was higher than the ICMSF's acceptable range of 2.0 to 5.0 log CFU/g, indicating that they could be hazardous to poultry and necessitate stricter control measures. Irrespective of the country/source of samples, the ATR-FTIR has discriminated the toxigenic from atoxigenic ASF, implying its promising prospects for rapid identification of toxigenic ASF.
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ObjectiveTo explore the evolution principles of symptoms including deficiency， phlegm and blood stasis， and of the functional near-infrared spectroscopy （fNIRS） cerebral hemodynamic characteristics at various stages in patients of Alzheimer's disease. MethodsA total of 497 patients with complaint of memory loss were included， and were divided into subjective cognitive decline （SCD） group （198 participants）， mild cognitive impairment （MCI） group （228 participants） and dementia （AD） group （71 participants）. Neuropsychological evaluation， traditional Chinese medicine （TCM） syndrome investigation， and fNIRS data collection of prefrontal cortex were performed in each group. Descriptive statistics were used to analyze the distribution of TCM syndromes and the difference of TCM syndrome scores in each group； logistic regression was used to analyze the influence of TCM syndromes on the incidence of the patients； association rules were used to analyze the TCM syndromes of the patients； the hemodynamic characteristics of fNIRS in the prefrontal cortex of each group were compared. ResultsKidney essence deficiency syndrome was the dominant syndrome in all stages of AD. There were statistically significant differences in the distribution frequency of kidney essence deficiency， phlegm turbidity obstructing orifices， blood stasis obstructing collaterals， qi and blood deficiency， heat toxin in the interior， and fu-organ stagnation and turbidity retention syndromes among the three groups （P＜0.01）， and the scores of kidney essence deficiency syndrome among the three groups were statistically significant （P＜0.01）. Logistic regression analysis showed that kidney essence deficiency， and qi and blood deficiency syndromes were the main risk factors for the SCD group （P＜0.05）， phlegm turbidity obstructing orifices syndrome was the main risk factor for the MCI group （P＜0.05）， and heat toxin in the interior， and fu-organ stagnation and turbidity retention syndromes were the main risk factors for the AD group （P＜0.05）. The association rule analysis showed that the combination of kidney essence deficiency plus phlegm turbidity obstructing orifices had the highest support （33.33%） in the SCD group， and the combination of kidney essence deficiency plus blood stasis obstructing collaterals had the highest support （32.90% and 52.13%） in both the MCI and AD group. The prefrontal fNIRS results showed that the mean ∆HbO2 concentration in the left dorsolateral prefrontal cortex （LDLPFC） decreased sequentially among the three groups （P＜0.05）， and the mean ∆HbO2 concentration in the LDLPFC was negatively correlated with the MoCA score among the three groups （r = -0.142， P＜0.05）. Further analysis showed that the mean ∆HbO2 concentration in the LDLPFC of patients with kidney essence deficiency syndrome were statistically significant differences among the three groups （P＜0.05）. ConclusionKidney deficiency is the basis of the pathogenesis of AD， and the key brain area damaged is the LDLPFC. Turbid pathogens such as phlegm and blood stasis are the pathological factors that aggravate the disease， and the syndromes of AD show the evolution law of deficiency and excess as “kidney deficiency→phlegm turbidity→blood stasis→turbid toxin”. The changes in prefrontal hemodynamics based on fNIRS are consistent with the changes in the characteristics of symptoms， which can be used to assess the degree of cognitive impairment in AD patients.
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ObjectiveTo construct a quantitative prediction model of three indicators（moisture absorption rate， film thickness and coating weight gain） during the coating process of Vitamin C Yinqiao tablets（VCYT） by near-infrared spectroscopy（NIRS）， and to realize the endpoint judgment. MethodReal-time NIRS data of 4 batches of VCYT during the coating process were collected by diffuse reflection method. The coating method employed was the rolling coating method， and the samples were obtained at the spray stage from the coater's sampling port every 10 minutes， and 57 batches of samples（about 1 800 tablets） were collected at various coating times， the tablets were embedded in molten paraffin， cut longitudinally， and observed by stereomicroscope. The film thickness， with a target value of 38 μm， was then measured using Motic Images Advanced 3.2 software. Furthermore， the mositure absorption rate of samples， aiming for a target value of 3%， was determined in accordance with guiding principles for drug hygroscopicity testing in the 2020 edition of Chinese Pharmacopoeia， and 3 samples were randomly selected from each batch（10 tablets per batch）， and the coating weight gain was calculated（target value of 4%）. Partial least squares regression（PLSR） was used to construct a quantitative model of the 3 coating indicators， and the predicted values of the coating indicators were smoothed using the moving average method and used to determine the coating endpoints. ResultThe prediction determination coefficients（Rp2） for moisture absorption rate， film thickness and coating weight gain were 0.933 4， 0.932 6 and 0.965 9， the root mean square errors of prediction（RMSEP） were 0.163 5%， 1.870 9 μm and 0.240 3%， the relative percent deviations（RPD） were 3.711 0， 2.760 7 and 5.415 8， respectively. The results of the external validation set demonstrated that the real-time predicted values obtained by the models exhibited the same trend as the measured values， and the coating endpoint could be accurately predicted（with a prediction error of less than 7.32 min and a relative error of less than 5.63%）. ConclusionThe established NIRS model exhibits excellent predictive performance and can be used for quality control of VCYT during the coating process.