30 December 2024, Volume 36 Issue 4
    

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  • Micrometer to Submicrometer-sized Single Droplet Optical Tweezer Measurement Techniques
    SUN Jiuyi, ZHANG Yunhong
    Chinese Journal of Light Scattering. 2024, 36(4): 363-374. https://doi.org/10.13883/j.issn1004-5929.202404001
    Abstract ( ) Download PDF ( ) Knowledge map Save
    The manipulation and measurement of single droplets,ranging from micrometer to submicrometer size,are essential for precise in situ characterization of complex physicochem- ical processes in atmospheric aerosols.This represents a new direction in precision instru- ment development.Optical tweezer technology is a unique method that uses the gradient force of lasers to control suspended single droplets,enabling in situ precise measurements. The spontaneous and stimulated Raman signals from these droplets provide detailed informa- tion on the physicochemical composition,concentration,refractive index,and radius of par- ticles,which serve as a novel approach for studying atmospheric aerosols.This paper discus- ses some types of optical tweezer techniques and their applications in measuring spontaneous and stimulated Raman signals in the field of atmospheric aerosols.
  • Research progress in Raman spectroscopy of bloodfor species identification
    WANG Jinxiu¹, HU Chunli², SHEN Yuanyuan², ZHANG Xianbiao³, CHEN Chang³, TIAN Zhengan², LI Shenwei¹,
    Chinese Journal of Light Scattering. 2024, 36(4): 375-383. https://doi.org/10.13883/j.issn1004-5929.202404002
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Raman spectroscopy can provide information on the molecular composition and structure of analyzed samples,used for analyzing and detecting the biochemical components of biological tissues and exploring the structure of biomolecules.It offers advantages such as non-destructiveness,high sensitivity,and rapid detection,and is widely applied in forensic i- dentification and port sample testing.This review briefly outlines the basic principles of Ra- man spectroscopy and provides a detailed introduction to its advancements and latest research achievements in blood species identification from three aspects:detection methods,data pre- processing,and data classification.Additionally,it points out some current limitations of the technology and discusses the challenges encountered in data collection,processing,clas- sification,and the establishment of spectral libraries.Finally,it explores the future research and development prospects of Raman spectroscopy,providing necessary references for subse- quent research in this field.
  • Preparation of Heterodimers nanostructure based on AAO and study of surface-enhanced Raman characteristics
    ZHANG Jingjing, LI Chenlu, FANG Ziqing, DONGJun
    Chinese Journal of Light Scattering. 2024, 36(4): 384-391. https://doi.org/10.13883/j.issn1004-5929.202404003
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    In this paper,we propose a method based on porous alumina(AAO)substrate as a template,using Alternating current(AC)electric field assembly technology to assemble large gold ball nanoparticles coated with CTAB in AAO nanopores,and analyze the effects of AC electric field frequency and voltage on the assembly results,and obtain the optimal conditions for the preparation of self-assembled single particles in the pores.On this basis,the prepared substrate was soaked in a colloidal solution of small gold balls modified with sodium citrate, and the single particles modified by NDT molecules were quantitatively coupled with a single morphology and coated with different nanoparticles on the surface to obtain Heterodimers@ AAO array substrate.Rhodamine 6G,Crystal violet and Aspartame were selected as probe molecules to explore the high Raman activity and enhanced uniformity of the substrates,and the obtained results provided experimental support for the engineering application of Raman spectroscopy.
  • Research on the synthesis of hydrotalcite and RBF neural network prediction for simulating near-infrared water peaks in jungle camouflage
    QIU Chengcong¹, FAN Xinyu¹, PAN Guoxiang¹, XU bo¹, XU minhong¹, LI jinhua²
    Chinese Journal of Light Scattering. 2024, 36(4): 392-398. https://doi.org/10.13883/j.issn1004-5929.202404004
    Abstract ( ) Download PDF ( ) Knowledge map Save
    A series of hydrotalcite materials are prepared using hydrothermal synthesis meth- od,and their spectral near-infrared water absorption peaks are tested using a visible near-in- frared spectrometer to simulate the near-infrared water peaks in jungle camouflage coating materials.The influence of experimental conditions on the size of water peaks is explored.A PSO-RBF predictive model is constructed using partial serpentine spectroscopic data and veri- fies the reliability of the model.The validation results indicate that the predictive accuracy of model exceeds 90%,demonstrating excellent practical capability.Employing the predictive model to forecast the development of serpentine facilitates the determination of optimal prep- aration conditions,thereby reducing experimental time and further enhancing the water ab- sorption peak of traditionally synthesized serpentine products for camouflage applications.
  • Experimental study on the thermal stability of Bastnaesite and its hydroxyl group behaviors based on IR and Raman analysis
    SHI Yujun¹, ZHANG Jiasheng¹³, HE Chao¹., LI Lin.
    Chinese Journal of Light Scattering. 2024, 36(4): 399-409. https://doi.org/10.13883/j.issn1004-5929.202404005
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Carbonates are important carriers and subjects of study in the deep carbon cycle of the Earth.Fluorine-bearing rare earth carbonates(such as bastnäsite),which are common ore minerals in rare earth deposits within orogenic belts and continental margins,have simi- lar crystal structures to hydroxyl-bearing rare earth carbonates and often form solid solutions in varying proportions.This research employs a combination of high-temperature deuterium tracer experiments,single-crystal X-ray diffraction,infrared,and Raman spectroscopy to define  the  conditions  under  which  deuterium  substitution  occurs  in  bastnäsite  from  an  experi- mental    mineralogy    perspective.It     investigates    the    structural     state,thermal    stability,and conditions  for  surface  fluorine  substitution  by  hydroxyl  groups  in  bastnäsite  at  different tem- peratures   and   during   the   deuterium   substitution   process.The   results   show   that   bastnäsite undergoes  deuterium  substitution  at  548  K  and  under  a  CO₂gas  flow  rate  of  280  ml/min.  The  structural type remains unchanged during temperature increases in the range of 293 K to 548  K,but partial  decomposition  occurs  at  573  K  and  598  K.After  storing  the  samples  at  la- boratory  ambient  temperature  and  pressure  for  six  months  following  the  deuterium  substitu- tion  experiment,it  was  found  that  the   surface  fluorine  and  hydroxyl  groups  underwent  iso- morphous   replacement,forming   hydroxy-fluorocarbonates,and   that   there   was   adsorbed   wa- ter  on  the  surface.Bastnaesite  are  products  of  mineralization  involving  carbon,fluorine(-hy- droxyl),and   rare   earth    elements   in   the    Earth's   near-surface   environment.The   results    of this  experiment  are  significant  for  understanding  the  geochemical  cycling  and  enrichment mechanismsof    carbon,water,fluorine,and     rare    earth     elements.
  • Rapid detection of the authenticity and adulteration of peony seed oil using Raman spectroscopy and chemometric methods
    ZHANG Kaiping
    Chinese Journal of Light Scattering. 2024, 36(4): 410-417. https://doi.org/10.13883/j.issn1004-5929.202404006
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Aiming at the problem of making and selling fake peony seed oil in the market,in situ,Raman spectroscopy and chemometrics were used to rapidly classify and identify the au- thenticity of peony seed oil.Peony seed oil mixtures with different adulteration concentra- tions were prepared,and their Raman spectra were collected.The spectral data were de- baseline processed by a wavelet algorithm.The characteristic information of the Raman spec- trum was extracted based on principal component analysis.The adulteration quantitative models of peony seed oil and rapeseed oil were established by using three chemometrics methods,including multiple linear regression(MLR),principal component regression (PCR),and partial least squares regression(PLSR).The R²of MLR,PCR,and PLSR were 0.9675,0.9839,and 0.9846,respectively,and the RMSE were 0.057,0.041,and 0.040,respectively.The results show that the PLSR algorithm has the best prediction effect.In this paper,a rapid detection method for the authenticity and adulteration of peony seed oil using in-situ Raman spectroscopy and chemometrics was proposed and implemented, which provides methodological reference and guidance for the rapid detection of peony seed oil adulteration.
  • PSO-BP algorithm combined with SERS to quantify preservatives in skincare products
    REN Tiantian¹, WANG Jing², LI Jing³
    Chinese Journal of Light Scattering. 2024, 36(4): 418-426. https://doi.org/10.13883/j.issn1004-5929.202404007
    Abstract ( ) Download PDF ( ) Knowledge map Save
    With consumers'increasing attention to the ingredients of skincare products and their preference for natural and additive-free products,the issue of adding preservatives to skincare products has become one of the hot topics in analytical chemistry.This article pro- poses a method based on particle swarm optimization and backpropagation neural network al- gorithm combined with surface enhanced Raman spectroscopy(SERS)to achieve quantitative prediction of preservatives such as benzyl alcohol and phenoxyethanol in skincare products for the rapid and non-destructive quantitative analysis of preservatives.We collected and an- alyzed the Raman spectra of purified preservatives such as benzyl alcohol and phenoxyethanol in skincare products and predicted their vibrational spectra using density functional theory.
  • Interpretation of complex adulteration behavior of peony seed oil by Raman spectroscopy assisted by PSO-GRNN algorithm
    SHAO Huanzheng¹, SUN Jihong¹, LIU Qifu¹, ZHANG Xiaojuan¹, LIU Shiming², ZHANG Haihua³
    Chinese Journal of Light Scattering. 2024, 36(4): 427-435. https://doi.org/10.13883/j.issn1004-5929.202404008
    Abstract ( ) Download PDF ( ) Knowledge map Save
    The research on the quantification of peony seed oil adulteration is still focused on the adulteration of a single cheap vegetable oil,so it is necessary to consider more complex a- dulteration.This paper uses portable near-infrared Raman spectroscopy technology combined with particle swarm optimization generalized regression neural network algorithm(PSO GRNN)to help interpret the complex adulteration behavior of peony seed oil.Firstly,the mixed oil of cheap sunflower seed oil and corn oil was used as the adulteration object.The a- dulteration concentration of peony seed oil was prepared from low to high,and the concen- tration gradient was relatively uniform.Secondly,a portable near-infrared Raman spectrom- eter was used to collect the Raman spectrum signals of all oil samples.The Raman spectra were  manually  reduced   and  weighted  based   on  spectral  analysis.Finally,a  quantitative   anal- ysis  model  based  on  PSO-GRNN  algorithm  was  established.The  results  show  that  the  com- plex  adulteration  behavior  of peony  seed  oil  can  be  interpreted  based  on  portable  near-infra- red  Raman  spectroscopy  technology  combined  with  the  PSO-GRNN   algorithm.This  scheme can predict the  concentration  of peony  seed  oil  and  effectively  evaluate  the  concentration  of various   cheap   vegetable    oils.The   test   set    of   the   model   R²>0.94,RMSE<0.036.This   pa- per deeply  studied the possible complex adulteration of peony  seed oil  and proposed the cor- responding  solutions.This  method   is  significant  for  the  market   supervision  and  quality  de- tection of peony seed oil.
  • Quantitative analysis of adulteration in extra virgin olive oil based on one-dimensional Convolutional neural network and portable raman spectroscopy
    ZHANG Huanjun¹, DAI Zhen², FEI Hongxiao³
    Chinese Journal of Light Scattering. 2024, 36(4): 436-444. https://doi.org/10.13883/j.issn1004-5929.202404009
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Faced with the continuous improvement of counterfeiting methods,cheap olive pomace oil will probably become a potential raw material for adulterating extra virgin olive oil.Therefore,this study focuses on the deep learning algorithm-assisted non-contact,non- destructive spectral detection technology to quantify the adulteration behavior of extra virgin olive oil.Mix expired olive pomace oil and extra virgin olive oil in different volume propor- tions to prepare different adulterated,mixed oil concentrations.The 785 nm portable Raman spectrometer was used to collect the Raman spectra of these mixed oils,and the quantitative analysis model of adulteration was established by combining the one-dimensional convolu- tional neural network algorithm.The density functional theory B3LYP/6-31+G(d,p) basis set  was  used  to  calculate  the  Raman  spectrum  of  linoleic  acid  molecules  to  further  analyze  the Raman   spectrum   of   extra   virgin   olive   oil.The   experimental   results   show   that   the   technical solution  based  on  combining  deep  structured  feedforward  neural  networks  and  785  nm  porta- ble  Raman  spectroscopy  technology  is   a  powerful  tool   for  quantitative   analysis  of  plant  oil   a- dulteration.The  decision  coefficients  of  4000   spectral  data  quantitative  models  from  80  mixed oil  products   are   all   better   than   0.97,and   the   decision   coefficient   of  quantitative   analysis   in the evaluation model test set reaches 0.9704,with a root mean square error less than

    0.0499.This   technology   has   great   application   potential   in   quickly   evaluating   the   adulteration of  extra  virgin  olive  oil,providing  a  beneficial  reference   scheme   for  regulating  the  domestic olive   oil   market    and   safeguarding    consumers'legitimate   rights    and   interests.

  • Quantitative Analysis of Avocado Oil Using One-Dimensional Convolutional Neural Network Model and In Situ Micro Raman Spectroscopy
    ZHANG Xuesong', SUN Mingsi², LIU Huanzheng³
    Chinese Journal of Light Scattering. 2024, 36(4): 445-453. https://doi.org/10.13883/j.issn1004-5929.202404010
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Avocado oil is a new vegetable oil extracted from avocado pulp.Because of its high price and limited public awareness,it is likely to produce and sell fake products.To meet the requirements of rapid,non-destructive,and high-throughput detection,this paper proposes a detection method for avocado oil by using a one-dimensional convolutional neural network model and in-situ micro Raman spectroscopy.The mixture of rapeseed oil and sunflower oil was used as the main component of avocado oil adulteration,and the spectra of pure vegeta- ble oil and mixed oil were detected by in-situ micro Raman spectroscopy technology.The chemical information of the Raman spectrum characteristic peaks of avocado oil was analyzed and interpreted.The spectral information with synergy and correlation with Avocado concen- tration changes was selected through the covariance difference and correlation coefficient, and it was used as the input of the network model.The one-dimensional convolutional neural network  model  has  a  good  prediction  effect  in  the  test  set,with  overall  R²>0.915  and  rmsr <0.0755.The  detection  method  is  based  on  a  one-dimensional  convolutional  neural  network model  combined  with  in-situ  micro  Raman  spectroscopy  technology  to  predict  the  adultera- tion  concentration  of  avocado  oil,which  is  feasible  and  meets  the  detection  requirements  of market  applications.The  results  have  significant  value  for  standardizing  the  domestic  avoca- do  market  and  accelerating  the  functional  management  of market  supervision.
  • Identification of vegetable oil species based on PCA-ACO-SVM algorithm and FTIR technology
    JIA Dan¹, MING Mina¹, LEI Lei², ZHOU Rui³, HOU Jinliang⁴
    Chinese Journal of Light Scattering. 2024, 36(4): 454-460. https://doi.org/10.13883/j.issn1004-5929.202404011
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Accurately identifying vegetable oil species is significant in oil quality control, fraud detection,nutrition and health,and grain and oil trade.Accurate and rapid identifica- tion of vegetable oils is essential to ensure oil quality and maintain market supervision.This paper proposes a Principal component analysis-Ant colony optimization-Support vector ma- chine(PCA-ACO-SVM)algorithm combined with Fourier transform infrared spectroscopy (FTIR)technology for rapidly identifying vegetable oil species.Six different kinds of vegeta-ble  oils  were  collected,and  the  absorption  and  transmission  infrared  spectra  of  the  samples were  measured  by  FTIR.PCA  reduced  the  dimension  of  infrared  spectral  data,and  the  infra- red  spectral  characteristics  of  oil  products  were  extracted.The  ACO  algorithm  optimizes  the core  parameters  of  the   SVM   classification  algorithm.The  optimized  core  parameters   of  the SVM   classification   model   are   C=1.1024043   and   Gamma=0.1476193.This   study   uses   the PCA-ACO-SVM  algorithm  to  establish  the  identification  model  of  vegetable  oil  species.The classification  model  was  trained,and  the  parameters  were  optimized  using  the  known  types of oil  products.The  model  was  further  applied  to  identify  unknown  oil  products.By  compa- ring with other algorithms,the  accuracy  and  efficiency of the PCA-ACO-SVM  algorithm in i- dentifying  vegetable  oil  types  were  verified.The  results  show  that  the  PCA-ACO-SVM  algo- rithm combined with FTIR technology can quickly  and accurately identify the types of vege- table  oil.This  method  has  high  classification  accuracy  and  high  computational  efficiency  in data processing,which is very  suitable  for the practical application of large-scale vegetable oil classification.In   summary,the   PCA-ACO-SVM   algorithm   proposed   in   this   paper,combined with  FTIR  technology,provides  a  feasible  solution  for  rapidly  identifying  vegetable  oil  spe- cies,which  has  high  efficiency  and  accuracy.The  scheme  has  broad  application  prospects  in the  food  industry  and  quality  supervision  and  is  of  great  significance  to  the  quality  supervi- sion  of vegetable  oil.
  • Study on the comprehensiveand nondestructivedetermination methodforwater stain pollution on palm leaf manuscripts
    SHAO Huiqi¹, CHENG Xiaolin¹, YANG Qin¹, LI Na², LV Qiang¹, WU Na¹, LI You¹
    Chinese Journal of Light Scattering. 2024, 36(4): 461-469. https://doi.org/10.13883/j.issn1004-5929.202404012
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Palm leaf manuscriptsarea kind of the oldestliterature with significant historical and literary values.The leaves are easilydamagedby external factors which can result in disea- ses.Water stainsareone of the most common diseaseson palm leaf manuscripts.They are per- meable contamination depositsthatcan affect the appearance of palm leafmanuscriptsand even damage the subjects'stability.In this paper,visible-reflected images andultravioletfluores- cence images oftwo sets of palm leaf manuscript collectionsare captured.Physical parameters- including pH values and chromatic aberration in water-stain and non-water-stain areasare measured by portable pH meter and colorimeter.The results show that"tideline"is more obvious and water-stain areasareeasier to distinguish under ultraviolet light.Meanwhile, pHvalues are all smaller in water-stain areasand the color differencebetween water-stain and non-water-stain areas is obvious.The results of micro-X-ray fluorescence and Fourier trans- form infrared spectroscopy coupled with ATR show that elements including K,Ca,P,S, and Mn are enriched in water-stain areas,with the decrease of the relative contents of cellu- lose and hemicellulose.Acomprehensive determination methodof water stain on palm leaf manuscripts based on nondestructive techniquesis first establishedin this study,whichpro- vides a deep understanding ofwater stain pollution.The method established in this study is meaningfulfor the scientific and rational preservation of palm leaf manuscriptsand can be a di- rection for furthercleaning and removal of water stain pollution.
  • The Scientific Analysis,Restoration,and Study of a Bronze Jian with Dragon Pattern and HorseHead Ornamentation at the Warring States Period
    LI Man¹, CHEN Hui²
    Chinese Journal of Light Scattering. 2024, 36(4): 470-478. https://doi.org/10.13883/j.issn1004-5929.202404013
    Abstract ( ) Download PDF ( ) Knowledge map Save
    The dragon shaped horsehead bronze Jian unearthed from Zhangzhuang Qiao Tomb Group King Zhao M1,which was a national first-class bronze cultural relic cast in the early Warring States period and buried in the Eastern Han Dynasty.Based on the methods such as polarizing microscope,Raman spectroscopy,X-ray diffraction,scanning electron microscopy energy spectrum,etc.,the green,blue,and gray white corrosion on its surface were respec- tively determined to be malachite,azurite,and quartz.After cleaned,derusted,repaired, and sealed treatment,the state of bronze jian had reached stability.As a practical tool was soughted after by the nobles of Zhao in the Handan region,the horsehead bronze jian had im- portant archaeological and historical research value.The use of horsehead as ear decoration pattern was a concentrated reflection and microscopic portrayal of the important role played by the horse in the development,inheritance,and evolution of Zhao culture.
  • The characteristics of sister lines pen marks were studied based on Reflectance Transformation Imaging
    SUN Linjie¹, CHEN Weina¹, ZHENG Yu², LIU Ning³
    Chinese Journal of Light Scattering. 2024, 36(4): 479-488. https://doi.org/10.13883/j.issn1004-5929.202404014
    Abstract ( ) Download PDF ( ) Knowledge map Save
    In order to solve the problem of handwriting identification in the field of scientific document examination in court,we usedreflectance transformation imaging to observe the three-dimensional characteristics of sister lines and quantitatively analyze them for the first time.In this experiment,the writing robot was employed to regulate the writing strength, writing angle,azimuth angle,and pen and paper clamp angle.A total of 21 common domes- tic pens were utilized to create“Lin”samples under the pen and paper clamp angles of 30°, 45°,and 60°.The experimental samples were produced at azimuth angles of 0°,30°,45°, and 60°,and at 0°,30°,and 45°with respect to the line of sight.In total,336 sets of sam- ples were produced and imaged under the normal line visualization mode.The sister line characteristics and quantitative analysis were then conducted.A total of 336 sets of experi- mental samples were imaged and analyzed in the normal visualization mode,and the sister line  characteristics  of each  set  of samples were  analyzed  to  derive the  optimal  conditions  for the   appearance   of   sister    lines.Subsequently,under   the    optimal   conditions,the    factors   af- fecting the  sister  lines were  investigated by  3D reconstruction  and  quantitative  analysis based on  RTI  technology.Finally,the  probability  of  sister   line   appearance   of  the   samples  under different  pen  and  paper  clip  angles  was  analyzed  by  ANOVA.Preliminary  experimental  re- sults  show  that  the  sister  line  feature  is  most  obvious  when  the  azimuth  angle  is  45°and  the pen and paper clamp angle is 45°,and the probability of the sister line appearing is as high as 99%when the  experiment  is  repeated;the pen  and  paper  clamp  angle  has  a  decisive  influence on  the  formation  of  the  sister  line.The  combination  of  RTI  technology  and  sister  lines  pro- vides  new  possibilities  for  the  supplementation  and  enrichment  of the  handwriting  inspection method  system,and  has  a  broad  development  prospect  in  the  field  of  document  inspection.   
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