In this study,a novel absorpent(MSAR600℃)with a hydrophobic surface and hierarchical porous structure for the removal of kitchen oil was facilely fabricated from the macroalgae,laver(Porphyra haitanensis)by incorpor-...In this study,a novel absorpent(MSAR600℃)with a hydrophobic surface and hierarchical porous structure for the removal of kitchen oil was facilely fabricated from the macroalgae,laver(Porphyra haitanensis)by incorpor-ating high-temperature carbonization and alkyl polyglucosides(APG)and rhamnolipid(RL)surfactants modifi-cation.The characterization results showed MSAR600℃ possessed a louts-leaf-like papillae microstructure with high contact angle(137.5°),abundant porous structure with high specific surface area(23.4 m^(2)/g),and various oxygen-containing functional groups(-OH,C=O,C-O).Batch adsorption experiments were conducted to inves-tigate the effect of adsorption time,temperature,pH,and absorbent dose on kitchen oil adsorption performance.Then the practical application for the removal of kitchen oil using MSAR600℃ was also performed.The results showed that MSAR600℃ had a higher removal efficiency for kitchen oil(75.98%),compared with the commercial detergent(72.3%).This study demonstrates an example of fabricating a green tableware detergent for enhanced removal performance of kitchen oil.展开更多
[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern...[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern weather forecast technology, agricultural weather prediction was de- veloped according to the demands for meteorological conditions during laver production. [ Result] From south to north, there were certain differ- ences in the suitable periods of laver culture, breeding and harvesting, with slight variations. The forecast of the first and last days of certain water temperature could provide scientific references for the meteorological service of laver culture, and the service effect became better after it was modi- fied with the aid of the medium-term and long-term weather prediction. [ Conclusion] The research can offer theoretical bases for the culture of laver along the coastal areas of Jiangsu Province.展开更多
The quality of laver is significantly affected by adulteration with sea lettuce(Ulva lactuca),a green seaweed that adheres to Pyropia nets during cultivation and adversely impacts productivity and quality.Acid treatme...The quality of laver is significantly affected by adulteration with sea lettuce(Ulva lactuca),a green seaweed that adheres to Pyropia nets during cultivation and adversely impacts productivity and quality.Acid treatment agents are commonly utilized;however,residual sea lettuce may persist in the final product if treatment is insufficient.Traditional detection methods,such as sensory evaluation,are susceptible to human error,time-consuming,and inefficient,while DNA sequencing is ineffective for processed laver due to DNA degradation.Given these limitations,non-destructive technologies are garnering interest in seafood quality assessment.This study evaluates the potential of hyperspectral imaging for detecting sea lettuce in laver.Hypercubes collected in two spectral ranges(visible/near-infrared(VIS/NIR)and short-wave infrared(SWIR))were utilized to establish a partial least squares regression(PLSR)model for quantification.Characteristic wavelengths were selected using competitive adaptive reweighted sampling(CARS),uninformative variable elimination(UVE),and their hybrid methods(CARS-UVE,UVE-CARS).Model efficiency and robustness improved with spectral feature selection.For raw laver,UVE-CARS achieved the highest Rp2(0.86)with 14.3%of full wavelengths in VIS/NIR,while for dried laver,SWIR with CARS-UVE yielded Rp2(0.90)using 18.3%of full wavelengths.This study addresses a critical gap in seafood quality control by demonstrating that hyperspectral imaging enables non-destructive,efficient quantification of sea lettuce contamination in laver,contributing to improved industry standards.展开更多
基金This study was supported by the Fundamental Research Funds for Zhejiang Provincial Universities and Research Institutes(No.2021J004)the Scientific Research Fund of Zhejiang Provincial Education Department(No.Y202044721).
文摘In this study,a novel absorpent(MSAR600℃)with a hydrophobic surface and hierarchical porous structure for the removal of kitchen oil was facilely fabricated from the macroalgae,laver(Porphyra haitanensis)by incorpor-ating high-temperature carbonization and alkyl polyglucosides(APG)and rhamnolipid(RL)surfactants modifi-cation.The characterization results showed MSAR600℃ possessed a louts-leaf-like papillae microstructure with high contact angle(137.5°),abundant porous structure with high specific surface area(23.4 m^(2)/g),and various oxygen-containing functional groups(-OH,C=O,C-O).Batch adsorption experiments were conducted to inves-tigate the effect of adsorption time,temperature,pH,and absorbent dose on kitchen oil adsorption performance.Then the practical application for the removal of kitchen oil using MSAR600℃ was also performed.The results showed that MSAR600℃ had a higher removal efficiency for kitchen oil(75.98%),compared with the commercial detergent(72.3%).This study demonstrates an example of fabricating a green tableware detergent for enhanced removal performance of kitchen oil.
基金Supported by National Research Fund for Public Welfare (Meteorology) of China (GYHY201006029)Meteorological Scientific Research Open Fund of Jiangsu Province,China (ZD201108)
文摘[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern weather forecast technology, agricultural weather prediction was de- veloped according to the demands for meteorological conditions during laver production. [ Result] From south to north, there were certain differ- ences in the suitable periods of laver culture, breeding and harvesting, with slight variations. The forecast of the first and last days of certain water temperature could provide scientific references for the meteorological service of laver culture, and the service effect became better after it was modi- fied with the aid of the medium-term and long-term weather prediction. [ Conclusion] The research can offer theoretical bases for the culture of laver along the coastal areas of Jiangsu Province.
基金supported by the Korea Institute of Marine Science and Technology Promotion(KIMST),funded by the Ministry of Oceans and Fisheries(No.20210695).
文摘The quality of laver is significantly affected by adulteration with sea lettuce(Ulva lactuca),a green seaweed that adheres to Pyropia nets during cultivation and adversely impacts productivity and quality.Acid treatment agents are commonly utilized;however,residual sea lettuce may persist in the final product if treatment is insufficient.Traditional detection methods,such as sensory evaluation,are susceptible to human error,time-consuming,and inefficient,while DNA sequencing is ineffective for processed laver due to DNA degradation.Given these limitations,non-destructive technologies are garnering interest in seafood quality assessment.This study evaluates the potential of hyperspectral imaging for detecting sea lettuce in laver.Hypercubes collected in two spectral ranges(visible/near-infrared(VIS/NIR)and short-wave infrared(SWIR))were utilized to establish a partial least squares regression(PLSR)model for quantification.Characteristic wavelengths were selected using competitive adaptive reweighted sampling(CARS),uninformative variable elimination(UVE),and their hybrid methods(CARS-UVE,UVE-CARS).Model efficiency and robustness improved with spectral feature selection.For raw laver,UVE-CARS achieved the highest Rp2(0.86)with 14.3%of full wavelengths in VIS/NIR,while for dried laver,SWIR with CARS-UVE yielded Rp2(0.90)using 18.3%of full wavelengths.This study addresses a critical gap in seafood quality control by demonstrating that hyperspectral imaging enables non-destructive,efficient quantification of sea lettuce contamination in laver,contributing to improved industry standards.
