Incorporating Lycium barbarum residue in diet boosts survival, growth, and liver health in juvenile grass carp (Ctenopharyngodon idellus).

This research elucidates the potential of Lycium barbarum residue (LBR), a by-product rich in bioactive substances, as a dietary supplement in aquaculture, especially for herbivorous fish like grass carp. In a detailed 120-day feeding trial, the impacts of varying LBR levels on juvenile grass carp were assessed, focusing on growth performance, survival rate, biochemical markers, and liver health. The study identified a 6% inclusion rate of LBR as optimal for enhancing survival and growth while mitigating hepatic lipid accumulation. Composition analysis of this diet revealed high concentrations of polysaccharides and flavonoids. Notably, the intake of LBR was found to enhance the antioxidant and immune-related enzymatic activities in the liver. Furthermore, it contributed to a reduction in hepatic fat deposition by decreasing the levels of triglycerides (TG) and total cholesterol (T-CHO) both in the liver and serum. Transcriptomic analysis of the liver highlighted LBR's substantial influence on lipid metabolism pathways, including the PPAR signaling pathway, primary bile acid biosynthesis, cholesterol metabolism, bile secretion, fat digestion and absorption, fatty acid degradation and fatty acid biosynthesis. Further, the expression level of genes pinpointed significant downregulation of fasn and dgat2, alongside upregulation of genes like pparda, cpt1b, cpt1ab and abca1b, in response to LBR supplementation. Overall, the findings present LBR as a promising enhancer of growth and survival in grass carp, with significant benefits in promoting fat metabolism and liver health, offering valuable insights for aquacultural nutrition strategies.

MicroRNA-30e-3p regulates the inflammatory response by targeting the gimap8 gene in Ctenopharyngodon idella kidney (CIK) cells.

Recent studies have increasingly linked miRNAs with the modulation of inflammatory responses and immunosuppressive activities. This investigation reveals that mir-30e-3p selectively binds to and modulates gimap8, as demonstrated by luciferase reporter assays and qPCR analyses. Upon LPS stimulation of CIK cells, mir-30e-3p expression was notably elevated, inversely correlating with a decrease in gimap8 mRNA levels. Overexpression of mir-30e-3p attenuated the mRNA levels of pro-inflammatory cytokines beyond the effect of LPS alone, suggesting a regulatory role of mir-30e-3p in inflammation mediated by the gimap8 gene. These insights contribute to our understanding of the complex mechanisms governing inflammatory and immune responses.

miR-23a regulates the disease resistance of grass carp (Ctenopharyngodon idella) by targeting autophagy-related genes, ATG3 and ATG12.

miRNAs play a key role in the autophagy process. In recent years, the emerging role of autophagy in regulating immune response has attracted increasing attention. Since then, specific miRNAs have also been found to play an immune function indirectly by modulating autophagy as well. This study proved that miR-23a could downregulate grass carp autophagy simultaneously by targeting ATG3 and ATG12. Besides, both ATG3 and ATG12 mRNA levels were increased in kidney and intestine after being infected by Aeromonas hydrophila; yet almost at the same time, miR-23a was decreased. Besides, we illustrated that grass carp miR-23a could affect antimicrobial capacity, proliferation, migration, and antiapoptotic abilities of CIK cells. These results indicate that miR-23a was related to grass carp autophagy and plays an important role in antimicrobial immunity through targeting ATG3 and ATG12, which provides important information on autophagy-related miRNAs about the defense and immune mechanisms against pathogens in teleost.

Identification of multifunctionality of grass carp (Ctenopharyngodon idella) TBK1 during bacterial infection.

TBK1 is an atypical IκB kinase family member with a set of functions. It is involved in congenital immunization and autophagy in mammals. In this study, we reported that grass carp TBK1 gene expression could be upregulated by bacterial infection. Overexpression of TBK1 could decrease the number of adhesive bacteria in CIK cells. TBK1 could promote cellular migration, proliferation, vitality, and anti-apoptosis ability. Furthermore, the expression of TBK1 could activate the NF-κB signaling pathway by inducing inflammatory cytokines. In addition, we found that the grass carp TBK1 could cause the autophagy level of CIK cells within the decreasing level of p62 protein. Our finding indicated that TBK1 participated in grass carp innate immune progress and autophagy. This study provides evidence of the positive regulation of TBK1 in teleost innate immunity with its multiple functions. It thus may provide important information about the defense and immune mechanisms used by teleost against pathogens.

miR-22a targets p62/SQSTM1 to negatively affect autophagy and disease resistance of grass carp (Ctenopharyngodon idella).

MicroRNAs (miRNAs) are integral to many biological functions, including autophagy, a process recently proven to be closely linked to innate immunity. In this study, we present findings on miR-22a, a teleost homolog of mammalian miR-22, illustrating its capacity to target the autophagy adaptor p62, subsequently inducing downregulation at both mRNA and protein levels. Utilizing Western blot analyses, we demonstrated that miR-22a inhibits the autophagy flux of CIK cells, correlated with an elevated presence of LC3 II. Additionally, the overexpression of miR-22a resulted in the suppression of NF-κB signaling, leading to reduced cellar antimicrobial abilities and increased apoptosis. These findings provide novel insights into the role of miR-22a as an autophagy-related miRNA and its immune mechanisms against pathogens via p62 in teleost, enriching our understanding of the interplay between autophagy and innate immunity.

Two macamide extracts relieve physical fatigue by attenuating muscle damage in mice.

BACKGROUND: Macamides, the main active components contained in maca, have attracted increasing attention due to their various bioactivities. In this study, crude macamide extract (CME) and purified macamide extract (PME) were prepared by enzyme-assisted extraction and macroporous resin separation, and the anti-fatigue effects of CME and PME were evaluated in a forced swimming model. RESULTS: The composition analysis results revealed that both CME and PME mainly contain eight kinds of macamide. Based on the results of a weight-loaded forced swimming test, compared with a control group, CME and and PME groups could prolong exhaustive swimming time, increase levels of liver glycogen (LG) and muscle glycogen (MG), accelerate fatty acid oxidation in serum to provide energy, eliminate the accumulation of blood lactic acid (BLA) and blood urea nitrogen (BUN), and decrease the serum biomarkers for muscle damage, such as lactate dehydrogenase (LDH) and creatine kinase (CK). Histological analysis also indicated that CME and PME attenuated damage to skeletal muscle and the myocardium in mice during exercise. CONCLUSION: Two macamide extracts have a beneficial effect on relieving physical fatigue by attenuating the damage of skeletal muscle and myocardium during exercise, and a better effect was observed in the PME group. © 2018 Society of Chemical Industry.

Total Syntheses of Sarcandrolide†J and Shizukaol†D: Lindenane Sesquiterpenoid [4+2] Dimers.

The syntheses of members of a family of lindenane sesquiterpenoid [4+2] dimers led to the total syntheses of sarcandrolide J and shizukaol D. Inspired by a modified biosynthetic pathway, a cascade featuring furan formation/alkene isomerization/Diels-Alder cycloaddition was devised to construct the congested polycyclic architecture of the target molecules with the correct stereochemistry. This study presents a pioneering synthetic entry to this family of natural products and paves the way for fully exploring their biological functions.

Asymmetric total synthesis of onoseriolide, bolivianine, and isobolivianine.

In this article, we describe our efforts on the total synthesis of bolivianine (1) and isobolivianine (2), involving the synthesis of onoseriolide (3). The first generation synthesis of bolivianine was completed in 21 steps by following a chiral resolution strategy. Based on the potential biogenetic relationship between bolivianine (1), onoseriolide (3), and ß-(E)-ocimene (8), the second generation synthesis of bolivianine was biomimetically achieved from commercially available (+)-verbenone in 14 steps. The improved total synthesis features an unprecedented palladium-catalyzed intramolecular cyclopropanation through an allylic metal carbene, for the construction of the ABC tricyclic system, and a Diels-Alder/intramolecular hetero-Diels-Alder (DA/IMHDA) cascade for installation of the EFG tricyclic skeleton with the correct stereochemistry. Transformation from bolivianine to isobolivianine was facilitated in the presence of acid. The biosynthetic mechanism and the excellent regio- and endo selectivities in the cascade are well supported by theoretical chemistry based on the DFT calculations.

Prevalence of chronic kidney disease and its association with metabolic diseases: a cross-sectional survey in Zhejiang province, Eastern China.

BACKGROUND: The prevalence of chronic kidney disease (CKD) and metabolic diseases has increased at different rates in different regions in China. The aim of our study was to estimate the prevalence of CKD and to analyze associated risk factors of CKD in Zhejiang province, Eastern China. METHODS: A cross-sectional survey of 11,013 adults was conducted from September 2009 to June 2012 in Zhejiang Province, located in Eastern China. CKD was defined as having an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or the presence of albuminuria. Medical history, physical examination and laboratory data were used to diagnose metabolic diseases. Age- and sex-standardized prevalence was calculated using the data on the population distribution in China in 2010. We examined risk factors associated with decreased renal function and albuminuria using multivariate logistic regression. RESULTS: A total of 10,384 adults (94.3%) completed the screening. The standardized prevalence of reduced renal function (eGFR < 60 mL/min/1.73 m2) was 1.83% (95% CI 1.52-2.13) and that of albuminuria was 8.65% (95% CI 7.98-9.31). The overall prevalence of CKD was 9.88% (95% CI 9.18-10.59). The prevalence of reduced renal function was greater in the eastern rural areas in Zhejiang province. Multivariate logistic regression revealed that metabolic diseases such as diabetes, obesity, hypertension, and hyperuricemia were independent risk factors of CKD. Patients with metabolic diseases had a significantly (P < 0.001) higher prevalence of CKD than those without such diseases. CONCLUSIONS: CKD has become a severe public health problem in Zhejiang Province, and metabolic diseases may increase the risk of CKD in Zhejiang population.

Simultaneous Rapid Detection of Multiple Physicochemical Properties of Jet Fuel Using Near-Infrared Spectroscopy.

Jet fuel is the primary fuel used in the aviation industry, and its quality has a direct impact on the safety and operational efficiency of aircraft. The accurate quantitative detection and analysis of various physicochemical property indicators are important for improving and ensuring the quality of jet fuel in the domestic market. This study used near-infrared (NIR) spectroscopy to establish a suitable model for the simultaneous and rapid detection of multiple physicochemical properties in jet fuel. Using more than 40 different sources of jet fuel, a rapid detection model was established by optimizing the spectral processing methods. The measurement models were separately built using the partial least-squares (PLS) and orthogonal PLS algorithms, and the model parameters were optimized. The results show that after the Savitzky-Golay second derivative preprocessing, the PLS model built using the feature spectra selected by the uninformative variable elimination wavelength algorithm achieved the best measurement performance. Compared with the PLS model without preprocessing, the range of the resulting accuracy improvement was at least 15.01%. Under the optimal model parameters, the calibration set regression coefficient (Rc2) of the 11 jet fuel property index models ranged from 0.9102 to 0.9763, with the root-mean-square error of calibration values up to 0.8468 °C (for flash points). The regression coefficient (Rp2) of the validation set ranged from 0.8239 to 0.9557, with the root-mean-square error of prediction values up to 1.1354 °C (for flash points). The ratios of prediction to deviation (RPD) values were all in the range of 1.9-3.0, indicating high accuracy and reliability of the model. The rapid NIR analysis method established in this study enables the simultaneous and rapid detection of multiple physicochemical properties of jet fuel, thereby providing effective technical support for ensuring the quality of jet fuel in the market.

Accurate identification of methanol and ethanol gasoline types and rapid detection of the alcohol content using effective chemical information.

Methanol and ethanol gasoline are two emerging clean energy sources with different characteristics. To achieve the qualitative identification and quantitative analysis of the alcohols present in methanol and ethanol gasoline, effective chemical information (ECI) models based on the characteristic spectral bands of the near-infrared (NIR) spectra of the methanol and ethanol molecules were developed using the partial least squares discriminant analysis (PLS-DA) and partial least squares (PLS) algorithms. The ECI model was further compared with models built from the full wavenumber (Full) spectra, variable importance in projection (VIP) spectra, and Monte Carlo uninformative variable elimination (MC-UVE) spectra to determine the predictive performance of ECI model. Among the various qualitative identification models, it was found that the ECI-PLS-DA model, which is built using the differences in molecular chemical information between methanol and ethanol, exhibited sensitivity, specificity and accuracy values of 100%. The ECI-PLS-DA model accurately identified methanol gasoline and ethanol gasoline with different contents. In the quantitative analysis model for methanol gasoline, the methanol gasoline and ethanol gasoline ECI-PLS models exhibited the smallest root mean squared error of predictions (RMSEP) of 0.18 and 0.21% (v/v), respectively, compared to the other models. Meanwhile, the F-test and T-test results revealed that the NIR method employing the ECI-PLS model showed no significant difference compared to the standard method. Compared with other spectral models examined herein, the ECI model demonstrated the highest recognition success and determination accuracy. This study therefore established a highly accurate and rapid determination model for the qualitative identification and quantitative analysis based on chemical structures. It is expected that this model could be extended to the NIR analysis of other physicochemical properties of fuel.

Impact of cadmium and diclofenac exposure on biochemical responses, transcriptome, gut microflora, and growth performance in grass carp (Ctenopharyngodonidella).

In recent years, the concentrations of cadmium (Cd) and diclofenac (DCF) in water have frequently exceeded the standard; however, the toxic effects of these two pollutants on grass carp under single and combined exposure are unknown. In this study, the concentrations of pollutants in different tissues were detected, and the toxicities of the two pollutants to grass carp under different exposure conditions were compared based on growth traits, biochemical responses, gut microbiome, and transcriptomes. Based on these findings, the brain showed the lowest levels of Cd and DCF accumulation. Oxidative stress and pathological damage were observed in the brain and intestines. Changes in the structure and abundance of the gut microflora affect the synthesis of neurotransmitters, such as GABA and steroids. Differentially expressed genes in the brain were enriched in circadian rhythm functions. The expression of PER, CLOCK,1L-1ß, 1L-17, and other genes are related to the abundance of Akkermansia, which indicates that the disorder of gut microflora will affect the normal circadian rhythm of the brain. All indices in the recovery group showed an increasing trend. Overall, the toxicity of Cd and DCF showed antagonism, and a single exposure had a stronger effect on gut microorganisms and circadian rhythm, which provided a scientific basis for exploring the comprehensive effects of different pollutants.

Bioinspired total synthesis of bolivianine: a Diels-Alder/intramolecular hetero-Diels-Alder cascade approach.

We report the first total synthesis of bolivanine in a 14-step pathway involving the synthesis of onoseriolide. Our synthesis features a palladium-catalyzed intramolecular cyclopropanation involving an allylic metal carbene and a Diels-Alder/intramolecular hetero-Diels-Alder cascade, allowing the single-step assembly of a tricyclic system with proper configuration. The synthetic efforts validate our modified biogenetic hypothesis and allow us to confirm the absolute configuration of bolivianine.

[The preliminary research on the gap junction mechanisms for synergistic effects of liuwei di-huang pill containing serum on suicide gene therapy of melanoma].

OBJECTIVE: To study the gap junction mechanisms for synergistic effects of liuwei di-huang pill (LDP) containing serum on HSV-tk/GCV suicide gene therapy of mouse malignant melanoma B16 cells. METHODS: The LDP containing serum (2.5% LDP serum group, 5.0% LDP serum group, and 10.0% LDP serum group) and the control serum group were set up. The effects of LDP on mRNA expressions of Cx26 and Cx43 in mouse malignant melanoma B16 cells were detected by RT-PCR assay. The effects of LDP on protein expressions of Cx26 and Cx43 in B16 cells were detected using Western blot and indirect immunofluorescence assay. The interference efficiencies of Cx26-309, Cx26-337, Cx26-367, Cx26-2098 SiRNA on Cx26 gene in B16 cells were detected using RT-RCR technique. Cx26-2098 SiRNA, due to the optimal interference efficiency, was chosen to interfere Cx26 gene, and the bystander effect of LDP + HSV-tk/GCV was observed. The effects of the gap junctional intercellular communication (GJIC) inhibitor glycyrrhetinic acid on the killing of LDP + HSV-tk/GCV system to B16 cells were detected by MTT assay. In this experiment, the control serum group, 2.5% LDP serum group, 5. 0% LDP serum group, 10.0% LDP serum group, the control serum combined GCV group, 2.5% LDP serum combined GCV group, 5.0% LDP serum combined GCV group, 10.0% LDP serum combined GCV group, 2.5% LDP serum combined GCV + glycyrrhetinic acid group, 5.0% LDP serum combined GCV + glycyrrhetinic acid group, 10.0% LDP serum combined GCV + glycyrrhetinic acid group were set up. The final concentration of GCV was 20 micromol/L. The final concentration of glycyrrhetinic acid was 50 micromol/L. RESULTS: LDP containing serum could increase the protein and mRNA expressions of Cx43 in B16 cell in a dose-dependent manner. It had bi-directional regulation on the Cx26 protein and mRNA expressions. The low dose LDP had inhibition while high dose LDP could up-regulate its expression. After SiRNA interfered Cx26 gene, there was no obvious change in the bystander effect of LDP combined suicide gene therapy between before and after interference. There was significant reduction in the inhibition rate between before (48.75%, 59.39%, and 69.28%) and after blockage (29.14%, 38.71%, and 58.13%) of glycyrrhetinic acid in the 2. 5%, 5.0%, 10.0% LDP serum combined GCV groups (P <0.01). CONCLUSION: The synergistic effects of LDP containing serum on HSV-tk/GCV suicide gene therapy in mouse malignant melanoma B16 cells were correlated with the gap junction mechanisms, which might be achieved through increasing the expressions of Cx26 and Cx43.

Comparative efficacy, acceptability, and tolerability of adjunctive anti-inflammatory agents on bipolar disorder: A systemic review and network meta-analysis.

OBJECTIVES: We performed a network meta-analysis (NMA) with up-to-date evidence to compare different anti-inflammatory agents to improve the treatment of bipolar disorder (BD) patients. METHODS: Four databases (i.e., the Cochrane Library, Web of Science, PubMed, and Embase) were searched for randomized controlled trials (RCTs) published between 1995 and 2022 on the use of anti-inflammatory agents in the treatment of BD. A systematic review and NMA were conducted. RESULTS: Adjunctive N-acetylcysteine (NAC) was superior to placebo for the treatment of BD according to the endpoint scale score (SMD -0.65, 95% confidence interval (CI): - 0.99 to - 0.31), response rate (odds ratio (OR) 3.42, 95% CI: 1.23-9.52), remission rate (OR 4.94, 95% CI: 1.03-41.38) and surface under the cumulative ranking curve (SUCRA) value of the endpoint scale score (0.84). Adjunctive nonsteroidal anti-inflammatory drugs (NSAIDs) were more favorable than placebo based on the remission rate (OR 3.93, 95% CI: 1.15-13.43) and were significantly more acceptable than other treatments (OR 0.60, 95% CI: 0.36-0.99). Adjunctive coenzyme Q10 (CoQ10) was superior to other agents in terms of the response rate (OR 18.85, 95% CI: 2.63-135.00), with a SUCRA value for the response rate of 0.90 and that for the remission rate of 0.71. CONCLUSION: Adjunctive NAC is recommended for the treatment of BD. Adjunctive NSAIDs and CoQ10 are still seen as effective, but more high-quality clinical studies are needed to verify their efficacy. Other anti-inflammatory agents may not be recommended for clinical use at present. All anti-inflammatory agents demonstrated a good safety profile. We call for further research on the combined treatment of BD with different anti-inflammatory agents to be included in future trials.

A Novel Swept-Back Fishnet-Embedded Microchannel Topology.

High in reliability, multi in function, and strong in tracking and detecting, active phased array antennas have been widely applied in radar systems. Heat dissipation is a major technological barrier preventing the realization of next-generation high-performance phased array antennas. As a result of the advancement of miniaturization and the integration of microelectronics technology, the study and development of embedded direct cooling or heat dissipation has significantly enhanced the heat dissipation effect. In this paper, a novel swept-back fishnet-embedded microchannel topology (SBFEMCT) is designed, and various microchannel models with different fishnet runner mesh density ratios and different fishnet runner layers are established to characterize the chip Tmax, runner Pmax, and Vmax and analyze the thermal effect of SBFEMCT under these two operating conditions. The Pmax is reduced to 72.37% and 57.12% of the original at mesh density ratios of 0.5, 0.25, and 0.125, respectively. The maximum temperature reduction figures are average with little change in maximum velocity and a small increase in maximum pressure drop across the number of fishnet runner layers from 0 to 4. This paper provides a study of the latest embedded thermal dissipation from the dimension of a single chip to provide a certain degree of new ideas and references for solving the thermal technology bottleneck of next-generation high-performance phased array antennas.

Predicting LncRNA-Disease Association Based on Generative Adversarial Network.

BACKGROUND: Increasing research reveals that long non-coding RNAs (lncRNAs) play an important role in various biological processes of human diseases. Nonetheless, only a handful of lncRNA-disease associations have been experimentally verified. The study of lncRNA-disease association prediction based on the computational model has provided a preliminary basis for biological experiments to a great degree so as to cut down the huge cost of wet lab experiments. OBJECTIVE: This study aims to learn the real distribution of lncRNA-disease association from a limited number of known lncRNA-disease association data. This paper proposes a new lncRNA-disease association prediction model called LDA-GAN based on a Generative Adversarial Network (GAN). METHODS: Aiming at the problems of slow convergence rate, training instabilities, and unavailability of discrete data in traditional GAN, LDA-GAN utilizes the Gumbel-softmax technology to construct a differentiable process for simulating discrete sampling. Meanwhile, the generator and the discriminator of LDA-GAN are integrated to establish the overall optimization goal based on the pairwise loss function. RESULTS: Experiments on standard datasets demonstrate that LDA-GAN achieves not only high stability and high efficiency in the process of confrontation learning but also gives full play to the semisupervised learning advantage of generative adversarial learning framework for unlabeled data, which further improves the prediction accuracy of lncRNA-disease association. Besides, case studies show that LDA-GAN can accurately generate potential diseases for several lncRNAs. CONCLUSION: We introduce a generative adversarial model to identify lncRNA-disease associations.

Effects of the selective serotonin reuptake inhibitor fluoxetine on glucose metabolism: A systematic review.

OBJECTIVES: The metabolic effects of antidepressants should be considered when prescribing antidepressants due to the increasing risk of diabetes, obesity and cardiovascular disease. This study aims to explore the effects of fluoxetine on glucose and lipid metabolism in human body. METHODS: Studies of the effects of fluoxetine on glucose and lipid metabolism were collected from the PubMed, MEDLINE and Embase databases without limiting the research design. The retrieval spanned between inception and January 2021. The main outcome measures were fasting blood glucose, glycosylated hemoglobin (mainly HbA1c) and body weight. RESULTS: A total of 24 studies were retrieved, including 20 randomized controlled trials (RCTs), 1 prospective study and 3 case reports. The meta-analysis showed that FBG and HbA1c levels were moderately decreased(MD-0.85[-1.75, -0.13], P = 0.02 and MD-0.55[-1.23, 0.13], P = 0.11 respectively) and body weight was significantly decreased (MD-3.01[-5.58, -0.44], P < 0.00001) with fluoxetine treatment compared with placebo. Both plasma triglyceride (TG) and total cholesterol (TC) levels decreased significantly (P < 0.00001). CONCLUSION: Fluoxetine had a positive effect on improving blood glucose control in patients with disorders of glucose metabolism and was good for weight management in obese people despite significant heterogeneity between studies.

Selection of the Effective Characteristic Spectra Based on the Chemical Structure and Its Application in Rapid Analysis of Ethanol Content in Gasoline.

Near-infrared (NIR) spectroscopy analysis is one of the most rapid detection methods for determining ethanol content in gasoline. Wavelength selection is a key step in the multivariate calibration analysis of NIR spectroscopy. To improve detection accuracy of ethanol content in gasoline and provide a simpler interpretation, we established NIR spectroscopy, a rapid analysis method based on the effective characteristic spectra. Five effective characteristic spectral bands were used according to the molecular structure of ethanol, followed by the development of four modeling schemes. The four modeling schemes spectra, NIR full spectra, and variable importance projection (VIP) spectra were used for modeling and analysis. The model was established based on the effective characteristic spectra without the interference spectra of aromatic hydrocarbons, achieving the best model performance. In addition, the model was further evaluated by internal cross-validation and external validation. The model's evaluation parameters were as follows: the root mean square error of cross-validation (RMSECV) was 0.6193, the correlation coefficient of internal cross-validation (R CV 2) was 0.9995, the root mean square error of prediction (RMSEP) was 0.5572, and the correlation coefficient of external prediction validation (R P 2) was 0.9995. The effective characteristic spectra model had smaller RMSEP and RMSECV values, and larger R CV 2 and R P 2 values compared to the full spectra and VIP spectra models. In conclusion, the effective characteristic spectra model had the highest accuracy and could provide rapid analysis of the ethanol content in gasoline.