CN104359889A - Method for quickly and nondestructively distinguishing between real and fake bird's nests - Google Patents

Method for quickly and nondestructively distinguishing between real and fake bird's nests Download PDF

Info

Publication number
CN104359889A
CN104359889A CN201410581505.1A CN201410581505A CN104359889A CN 104359889 A CN104359889 A CN 104359889A CN 201410581505 A CN201410581505 A CN 201410581505A CN 104359889 A CN104359889 A CN 104359889A
Authority
CN
China
Prior art keywords
bird
nest
sample
raman spectrum
spectrogram
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410581505.1A
Other languages
Chinese (zh)
Inventor
徐敦明
于海花
张志刚
张缙
林建忠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201410581505.1A priority Critical patent/CN104359889A/en
Publication of CN104359889A publication Critical patent/CN104359889A/en
Pending legal-status Critical Current

Links

Abstract

The invention discloses a method for quickly and nondestructively distinguishing between real and fake bird's nests. The method is characterized in that Raman spectrometry is adopted; pretreatment is not required to be performed on samples; technical parameters are directly set; Raman spectra is collected through a Raman spectrometer; whether characteristic peaks of bird's nests appear or not is found and the quantity is determined. If 3 to 6 characteristic peaks of bird's nests appear and other obvious impure peaks do not exist, the samples are manifested to be real bird's nests; if 3 to 6 characteristic peaks of bird's nests appear and other obvious impure peaks exist, the samples are manifested to be fake bird's nests; the adulterate amount is roughly judged according to peak height ratio of the impure peaks and the characteristic peaks of the bird's nests, the higher the ratio is, the lower the bird's nest content is; if 0 to 2 characteristic peaks of the bird's nests appear, the samples do not contain bird's nest components. The method has the characteristics that the samples are not required to be destroyed, the method is simple to operate, discrimination speed is high, the accuracy is high, and the like, is applied to the discrimination of large-scale bird's nest samples, and is novel.

Description

A kind of bird's nest true and false discriminating method of quick nondestructive
Technical field
The present invention relates to the qualification field of bird's nest, particularly relate to a kind of true and false discriminating method of the bird's nest quick nondestructive based on Raman spectrum.
Background technology
Because bird's nest has abundant nutrition and medical value, cause the increase of bird's nest demand, fake in market and also just there is possibility.Its adulteration mainly comprises bleaching bird's nest, gluing bird's nest, dyeing bird's nest, marine alga bird's nest, moisture bird's nest and scapegoat's bird's nest.At present, the method for bird's nest authenticity mainly comprises experience differential method, Microscopic Identification method, spectroscopic methodology, chromatography, euzymelinked immunosorbent assay (ELISA) and electrophoresis, nuclear magnetic resonance method etc.Experience identification method according to the physicochemical property of bird's nest respectively from choosing, touch, hear, soak, stew and burning all angles judge true and false bird's nest, product personnel need be commented just can correctly to evaluate through specialty.Microscopic Identification method, by comparing the difference of the microscopic features of bird's nest and adulterant thereof, realizes the true and false qualification of bird's nest.Spectroscopic methodology mainly comprises spectrophotometric method (measuring the sialic acid content in bird's nest) and infra-red sepectrometry (setting up bird's nest feature spectrogram).Chromatography mainly comprises vapor-phase chromatography (measuring amino acid whose composition in bird's nest) and liquid phase chromatography (measuring the sialic acid content in bird's nest).The human hairs such as Zhang Shiwei understand bird's nest enzyme linked immunological kit, realize quality of bird's nest mensuration by measuring sialic content.Electrophoresis measures according to protein composition in bird's nest.These methods remain in some defects, and the problems such as pre-treatment is loaded down with trivial details, accuracy is not high, length consuming time, are applied in bird's nest authenticity system in the urgent need to a kind of fast non-destructive detection method.
Raman spectrum (Raman Spectroscopy) analytical technology is the molecular structure characterization technology based on Ramam effect, the reflection such as its position of spectral line, spectral line number and band intensity based on the extension of chemical molecular key and bending vibration mode information, and then can understand formation and the Constellation information of molecule.Overseas utilization Raman spectroscopy is comparatively wide to the analysis and research of food composition application, not only can relation between the molecular structure of qualitative analysis measured matter ingredient and various group by Raman spectrogram, quantitatively can also detect the size of food composition content.
Raman spectroscopy has a series of advantage: 1. analysis speed is fast, in 1min, just can complete detection, realizes detecting fast.2., without the need to pre-service, do not need to destroy sample, untouchable, non break down test can be reached.3. sample aequum is little, sensitivity is higher, accuracy is high.4. sample is without the need to preparation, can not to sample cause chemistry, machinery, the decomposition of photochemistry and heat, keep sample integrity.At present, Raman spectroscopy has become the important research means of analytical chemistry, biology, pharmacy.Raman spectroscopy is utilized to carry out nondestructive analysis to sample.
Summary of the invention
The object of the present invention is to provide a kind of without the need to destroy sample, simple to operate, qualification fast, bird's nest authenticity identification method that accuracy is high.
For achieving the above object, the invention provides a kind of bird's nest true and false discriminating method, it is characterized in that, based on Raman spectrum Non-Destructive Testing.
Described authentication method comprises the following steps,
Prepare testing sample.
Technical parameter is set, utilizes Raman spectrum analysis system acquisition testing sample Raman spectrogram information, obtain the Raman spectrum spectrogram of sample to be identified.
Data analysis: by the position difference of the characteristic absorption peak and bird's nest characteristic peak that compare testing sample, judge that whether bird's nest sample to be measured is adulterated.
Described testing sample be complete, without the need to pre-treatment, can mensuration be directly used in.
During the Raman spectrum of described Raman spectrum analysis system acquisition testing sample, Raman spectrum analysis system running parameter used is: excitation wavelength is 785nm, employing standard testing is popped one's head in, adopt laser power to be 450mW during test, scanning times is 3 times, and the time shutter is 30s improves signal peak smoothness by increasing scanning times, prolonging exposure time improves signal intensity, generalized case, selects multiple measurement point to gather spectrum in the sample to which, the difference of contrast different acquisition point spectrum.
Described Raman spectrum analysis system is Raman spectrometer, the Frequency Stabilized Lasers Raman spectrometer ProTT EZRaman A5 of Enwave Optronics company.
Describedly utilize in Raman spectrum analysis system acquisition testing sample Raman spectrogram information, testing sample at least selects 3 different test points to carry out adopting a test.If the result of 3 test points is inconsistent, just the result of 3 test points is analyzed, may be uneven because adulterated, be not necessarily concentrated in Yan Jiao or center section.If spectrogram is inconsistent, then whether adulteratedly all to carry out analyzing.
Described data analysis is the Raman spectrum spectrogram analyzing testing sample, if there is 3-6 bird's nest characteristic peak in the Raman spectrum spectrogram of testing sample, and without other peaks of obviously mixing, shows that sample is genuine piece bird's nest; If there is 3-6 bird's nest characteristic peak, and there is obviously assorted peak, show that sample is adulterated bird's nest, its adulterated amount judges roughly according to the peak height ratios of assorted peak and bird's nest characteristic peak, and ratio is larger, and genuine piece bird's nest content is lower; If there is 0-2 bird's nest characteristic peak, show in sample not containing bird's nest composition; If there is 477cm in the Raman spectrum spectrogram of testing sample -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1or 1448cm -1any one absorption peak, then may mix starchy material in sample; If there is 1297cm in spectrogram -1, 1440cm -1or 1655cm -1any one absorption peak, then may mix the oil compounds such as pigskin in sample; If there is 1121cm in spectrogram -1, 1367cm -1or 1457cm -1any one absorption peak, then may mix tremella in sample; The characteristic peak of described bird's nest is 828 c m-1, 1000c m-1, 1237c m-1, 1330c m-1, 1448c m-1, 1668c m-1.
Described authentication method comprises the following steps,
Prepare testing sample.
Technical parameter is set, utilizes Raman spectrum analysis system acquisition testing sample spectrogram information, obtain the Raman spectrum spectrogram of sample to be identified.
Data analysis: by the characteristic absorption peak of testing sample and the position difference of bird's nest characteristic peak, judges that whether bird's nest sample to be measured is adulterated.
Described testing sample be complete, without the need to pre-treatment, can mensuration be directly used in.
Described Raman spectrum analysis system running parameter used is: excitation wavelength is: 785nm, employing standard testing is popped one's head in, laser power is adopted to be 450mW during test, by for a long time, the repeatedly average signal to noise ratio (S/N ratio) improving spectrum of accumulation, generalized case, selects multiple measurement point to gather spectrum in the sample to which, the difference of contrast different acquisition point spectrum.
Described Raman spectrum analysis system is Raman spectrometer, the Frequency Stabilized Lasers Raman spectrometer ProTT EZRaman A5 of Enwave Optronics company.
During described data acquisition, each sample at least selects 3 test points to carry out adopting a test, carries out comprehensive evaluation, in order to avoid erroneous judgement to each collection collection of illustrative plates.
Described data analysis is the Raman spectrum spectrogram of testing sample.Characteristic peak 828 cm of bird's nest -1, 1000cm -1, 1237cm -1, 1330cm -1, 1448cm -1.1668cm -1。Find and whether occur bird's nest characteristic peak, and quantification.If there are 3 ~ 6 bird's nest characteristic peaks, and without other peaks of obviously mixing, show that sample is genuine piece bird's nest; If there are 3 ~ 6 bird's nest characteristic peaks, and there is obviously assorted peak, show that sample is adulterated bird's nest, its adulterated amount judges roughly according to the peak height ratios of assorted peak and bird's nest characteristic peak, and ratio is larger, and genuine piece bird's nest content is lower; If there is 0 ~ 2 bird's nest characteristic peak, show in sample not containing bird's nest composition.
Described data analysis is the Raman spectrum spectrogram of testing sample.If there is 477cm in spectrogram -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1, 1448cm -1absorption peak, then may mix starchy material in sample; If there is 1297cm in spectrogram -1, 1440cm -1, 1655cm -1absorption peak, then may mix the oil compounds such as pigskin in sample; If there is 1121cm in spectrogram -1, 1367cm -1, 1457cm -1absorption peak, then may mix tremella in sample.
Application Raman measures in the invention of bird's nest, and its main technical difficulty is the determination of bird's nest characteristic peak, and the judgement to testing result.The present invention carries out mensuration summary by 54 bird's nest certified products such as the white swallow to different regions, different businessman, blood swallow and Mao Yan and obtains bird's nest 6 characteristic peaks, in sample test link by having carried out confirmatory experiment respectively to the adulterated amount 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% of different sample, result shows, the method can realize the discriminating that minimum slag-mixing amount is the bird's nest of about 5%.
Beneficial effect of the present invention:
The present invention's application Raman spectrum detection technique differentiates the bird's nest true and false fast, and its analysis speed is fast, without the need to pre-service, does not need to destroy sample, can reach untouchable, non break down test.Sample aequum is little, sensitivity is higher, accuracy is high.Contrast with other bird's nest authentication methods, its advantage is sample without the need to preparation, can not to sample cause chemistry, machinery, the decomposition of photochemistry and heat, keep sample integrity.The present inventor through a large amount of verification experimental verifications, then passes through analysis and summary extremely hard and bitter in a large number, draws: if there are 3 ~ 6 bird's nest characteristic peaks in spectrogram, and without other peaks of obviously mixing, shows that sample is genuine piece bird's nest; If there are 3 ~ 6 bird's nest characteristic peaks, and there is obviously assorted peak, show that sample is adulterated bird's nest, its adulterated amount judges roughly according to the peak height ratios of assorted peak and bird's nest characteristic peak, and ratio is larger, and genuine piece bird's nest content is lower; If there is 0 ~ 2 bird's nest characteristic peak, show in sample not containing bird's nest composition.If there is 477cm in spectrogram -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1or 1448cm -1absorption peak, then may mix starchy material in sample; If there is 1297cm in spectrogram -1, 1440cm -1or 1655cm -1absorption peak, then may mix the oil compounds such as pigskin in sample; If there is 1121cm in spectrogram -1, 1367cm -1or 1457cm -1absorption peak, then may mix tremella in sample.The oil compounds such as starch based, pigskin, tremella are the conventional materials that bird's nest is played tricks.Accordingly, convenience, accurately judged result simple with regard to energy by method of the present invention, highly sensitive.
Accompanying drawing explanation
The Raman spectrogram of Fig. 1 certified products Malaysia bird's nest;
The Raman spectrogram of Fig. 2 certified products Indonesia bird's nest;
The Raman spectrogram of Fig. 3 certified products blood bird's nest;
Fig. 4 hair bird's nest and blood bird's nest Raman spectrum comparison diagram;
The Raman spectrogram of the adulterated conventional material of Fig. 5 bird's nest;
The Raman spectrum comparison diagram of the adulterated bird's nest of Fig. 6 and certified products bird's nest;
The bird's nest sample Raman spectrogram of the different adulterated content of Fig. 7.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the present invention, and can not limitation of the present invention be interpreted as.Unreceipted concrete technology or condition person in embodiment, according to the technology described by the document in this area or condition or carry out according to product description.Agents useful for same or the unreceipted production firm person of instrument, being can by the conventional products of commercial acquisition.
embodiment 1:a kind of bird's nest true and false discriminating method of the quick nondestructive based on Raman spectrum
Material:
Certified products Malaysia bird's nest (being selected from the hair bird's nest of Bei Maqu, east coast, Dong Ma district and Central-South Ma Qu respectively), certified products Indonesia bird's nest (being selected from the hair bird's nest in SUMATRA LAMPUNG, SUMATRA, SULAWEST, KALIMANTAN tetra-places of production respectively), certified products blood bird's nest (four Different sources collections), adulterated bird's nest provide by Xiamen Entry-Exit Inspection and Quarantine Bureau; Starch, tremella, fried pork skin are buied in market.
Instrument:
Frequency Stabilized Lasers Raman spectrometer ProTT EZRaman A5 (Enwave Optronics, the U.S.), electronic balance (is accurate to 0.0001 g; Sartorious, Germany).
Condition determination:
Sample is without the need to carrying out pre-treatment.Directly can measure, analyze.
Excitation wavelength is: 785nm, adopts standard testing probe, adopts laser power to be 450mW during test, by for a long time, the repeatedly average signal to noise ratio (S/N ratio) improving spectrum of accumulation, generalized case, multiple measurement point is selected to gather spectrum in the sample to which, the difference of contrast different acquisition point spectrum.
Spectrogram treatment and analyses:
Find and whether occur bird's nest characteristic peak (828 cm -1, 1000cm -1, 1237cm -1, 1330cm -1, 1448cm -1, 1668cm -1), and quantification.Determine number and the signal intensity at other peaks, contrast with bird's nest characteristic peak.
Experimental result:
The Raman spectrogram obtained is Fig. 1 ~ 7.Wherein Fig. 1 is the Raman spectrum of certified products Malaysia bird's nest, chooses the hair bird's nest of Bei Maqu, east coast, Dong Ma district and Central-South Ma Qu respectively; Fig. 2 is the Raman spectrum of certified products Indonesia bird's nest, is selected from the hair bird's nest in SUMATRA LAMPUNG, SUMATRA, SULAWEST, KALIMANTAN tetra-places of production respectively; Fig. 3 is the Raman spectrum of certified products blood bird's nest, four Different sources collections; Fig. 4 is that hair bird's nest and blood bird's nest Raman spectrum contrast; Fig. 5 is the Raman spectrum (starch, tremella, fried pork skin) of the adulterated conventional material of bird's nest; The Raman spectrum of the adulterated bird's nest of Fig. 6 and certified products bird's nest contrasts; The bird's nest sample Raman spectrum of Fig. 7 difference (5%, 10%, 30%, 50%, 90%) adulterated content.As seen from Figure 1,4 kinds of certified products Malaysia hair bird's nests of different regions have identical spectrogram.As can be seen from Fig. 2 also, 4 kinds of certified products Indonesia hair bird's nests of different regions also have identical spectrogram.As seen from Figure 3,4 kinds of certified products blood bird's nests of different regions have identical spectrogram, wherein, and the room blood bird's nest 1 of a. swallow; B. the room blood bird's nest of swallow; 2.c. is blood bird's nest upstairs; D. remaining benevolence green blood bird's nest.Simultaneously comparison diagram 1-3 is known, Raman spectroscopy measure bird's nest not by the place of production impact as seen from Figure 4, hair bird's nest and blood bird's nest Raman spectrogram gap little.Can be summed up by Fig. 1 ~ 4, the characteristic peak of bird's nest is 828 cm -1, 1000cm -1, 1237cm -1, 1330cm -1, 1448cm -1, 1668cm -1.The characteristic peak of starchy material is 477cm as shown in Figure 5 -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1, 1448cm -1; The oil compounds absorption peaks such as pigskin are 1297cm -1, 1440cm -1, 1655cm -1; Tremella characteristic absorption peak is 1121cm -1, 1367cm -1, 1457cm -1.Contrast the adulterated bird's nest of part according to Fig. 6 and be the false bird's nest sample of raw material and the difference of certified products bird's nest with starch, the Raman spectrum of part adulterated bird's nest Raman spectrum and certified products bird's nest has obvious difference, in its Raman spectrum except having the characteristic peak of the natural bird's nest of certified products, false bird's nest starch is also had to be mainly manifested in 477 cm -1, 941cm -1characteristic peak is the characteristic peak of false bird's nest, and the characteristic peak thus by this two place distinguishes that this sample bird's nest is adulterated bird's nest, and adulterated composition is starchy material.Be the bird's nest sample Raman spectrogram contrast of 5%, 10%, 30%, 50% and 90% by adulterated content according to Fig. 7, in figure, all occur 1237cm -1, 1330cm -1and 1448cm -1bird's nest characteristic peak, proves that it contains certified products bird's nest; There is 477cm again simultaneously -1, 857cm -1, 941cm -1starch characteristic peak, illustrate that adulterant is starchy material; The method can realize the discriminating that minimum slag-mixing amount is about 5%.
Sum up according to multiple experimental data, namely this inventive method directly gathers Raman spectrogram to collected specimens, without the need to carrying out pre-treatment, if there are 3 ~ 6 bird's nest characteristic peaks in spectrogram, and without other peaks of obviously mixing, shows that sample is genuine piece bird's nest; If there are 3 ~ 6 bird's nest characteristic peaks, and there is obviously assorted peak, show that sample is adulterated bird's nest, its adulterated amount judges roughly according to the peak height ratios of assorted peak and bird's nest characteristic peak, and ratio is larger, and genuine piece bird's nest content is lower; If there is 0 ~ 2 bird's nest characteristic peak, show in sample not containing bird's nest composition.If there is 477cm in spectrogram -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1, 1448cm -1absorption peak, then may mix starchy material in sample; If there is 1297cm in spectrogram -1, 1440cm -1, 1655cm -1absorption peak, then may mix the oil compounds such as pigskin in sample; If there is 1121cm in spectrogram -1, 1367cm -1, 1457cm -1absorption peak, then may mix tremella in sample.
In sum, the invention provides a kind of bird's nest authenticity identification method based on Raman spectrum, application Raman spectrum detection technique differentiates the bird's nest true and false fast, has without the need to destroying sample, simple to operate, qualification is quick, accuracy high.
Although illustrate and describe embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, those of ordinary skill in the art can change above-described embodiment within the scope of the invention when not departing from principle of the present invention and aim, revising, replacing and modification.

Claims (7)

1. a bird's nest true and false discriminating method, is characterized in that, based on Raman spectrum Non-Destructive Testing.
2. bird's nest true and false discriminating method according to claim 1, it is characterized in that, described authentication method comprises the following steps,
Prepare testing sample;
Technical parameter is set, utilizes Raman spectrum analysis system acquisition testing sample Raman spectrogram information, obtain the Raman spectrum spectrogram of sample to be identified;
Data analysis: by the position difference of the characteristic absorption peak and bird's nest characteristic peak that compare testing sample, judge that whether bird's nest sample to be measured is adulterated.
3. bird's nest true and false discriminating method according to claim 2, is characterized in that, described testing sample be complete, without the need to pre-treatment, can mensuration be directly used in.
4. bird's nest true and false discriminating method according to claim 2, it is characterized in that, during the Raman spectrum of described Raman spectrum analysis system acquisition testing sample, Raman spectrum analysis system running parameter used is: excitation wavelength is 785nm, employing standard testing is popped one's head in, adopt laser power to be 450mW during test, scanning times is 3 times, and the time shutter is 30s.
5. bird's nest true and false discriminating method according to claim 4, is characterized in that, described Raman spectrum analysis system is Raman spectrometer, the Frequency Stabilized Lasers Raman spectrometer ProTT EZRaman A5 of Enwave Optronics company.
6. bird's nest true and false discriminating method according to claim 2, is characterized in that, describedly utilizes in Raman spectrum analysis system acquisition testing sample Raman spectrogram information, and testing sample at least selects 3 different test points to carry out adopting a test.
7. bird's nest true and false discriminating method according to claim 2, it is characterized in that, described data analysis is the Raman spectrum spectrogram analyzing testing sample, if there is 3-6 bird's nest characteristic peak in the Raman spectrum spectrogram of testing sample, and without other peaks of obviously mixing, show that sample is genuine piece bird's nest; If there is 3-6 bird's nest characteristic peak, and there is obviously assorted peak, show that sample is adulterated bird's nest, its adulterated amount judges roughly according to the peak height ratios of assorted peak and bird's nest characteristic peak, and ratio is larger, and genuine piece bird's nest content is lower; If there is 0-2 bird's nest characteristic peak, show in sample not containing bird's nest composition; If there is 477cm in the Raman spectrum spectrogram of testing sample -1, 857cm -1, 941cm -1, 1080cm -1, 1121cm -1, 1332cm -1, 1377cm -1or 1448cm -1any one absorption peak, then may mix starchy material in sample; If there is 1297cm in spectrogram -1, 1440cm -1or 1655cm -1any one absorption peak, then may mix the oil compounds such as pigskin in sample; If there is 1121cm in spectrogram -1, 1367cm -1or 1457cm -1any one absorption peak, then may mix tremella in sample; The characteristic peak of described bird's nest is 828 c m-1, 1000c m-1, 1237c m-1, 1330c m-1, 1448c m-1, 1668c m-1.
CN201410581505.1A 2014-10-27 2014-10-27 Method for quickly and nondestructively distinguishing between real and fake bird's nests Pending CN104359889A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410581505.1A CN104359889A (en) 2014-10-27 2014-10-27 Method for quickly and nondestructively distinguishing between real and fake bird's nests

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410581505.1A CN104359889A (en) 2014-10-27 2014-10-27 Method for quickly and nondestructively distinguishing between real and fake bird's nests

Publications (1)

Publication Number Publication Date
CN104359889A true CN104359889A (en) 2015-02-18

Family

ID=52527171

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410581505.1A Pending CN104359889A (en) 2014-10-27 2014-10-27 Method for quickly and nondestructively distinguishing between real and fake bird's nests

Country Status (1)

Country Link
CN (1) CN104359889A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106018328A (en) * 2016-04-13 2016-10-12 广东出入境检验检疫局检验检疫技术中心 Method for differentiating true and false edible bird's nests
CN107907500A (en) * 2017-10-19 2018-04-13 宁夏大学 A kind of detection method in the mutton place of production
CN108802003A (en) * 2018-05-25 2018-11-13 浙江大学 A method of quick, Nondestructive Identification silk product and content

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106018328A (en) * 2016-04-13 2016-10-12 广东出入境检验检疫局检验检疫技术中心 Method for differentiating true and false edible bird's nests
CN106018328B (en) * 2016-04-13 2018-08-28 广东出入境检验检疫局检验检疫技术中心 Differentiate the method for true and false bird's nest
CN107907500A (en) * 2017-10-19 2018-04-13 宁夏大学 A kind of detection method in the mutton place of production
CN107907500B (en) * 2017-10-19 2021-07-02 宁夏大学 Detection method for mutton producing area
CN108802003A (en) * 2018-05-25 2018-11-13 浙江大学 A method of quick, Nondestructive Identification silk product and content
CN108802003B (en) * 2018-05-25 2020-10-30 浙江大学 Method for rapidly and nondestructively identifying silk product and content

Similar Documents

Publication Publication Date Title
CN101620180B (en) Method for rapidly detecting tea quality through near infrared technology
O'Brien et al. Near infrared spectroscopic authentication of seafood
CN105717066B (en) A kind of near infrared spectrum identification model based on weighted correlation coefficient
Wiedemair et al. Application of design of experiment for detection of meat fraud with a portable near-infrared spectrometer
JP2011174906A (en) Vibration spectrum analysis method
JP6212454B2 (en) Cheese maturity index estimation method, cheese maturity index estimation apparatus, computer-executable program, and process cheese manufacturing method
JP6831094B2 (en) Unknown sample judgment method, unknown sample judgment device and unknown sample judgment program
CN104965973A (en) Apple molding core multi-factor nondestructive testing judgment model and establishing method thereof
CN104359889A (en) Method for quickly and nondestructively distinguishing between real and fake bird's nests
Pestle et al. Ancient bone collagen assessment by hand-held vibrational spectroscopy
Fowler et al. Investigation of chemical composition of meat using spatially off-set Raman spectroscopy
CN103411895B (en) Pseudo-near infrared spectrum identification method mixed by pearl powder
CN103698353B (en) A kind of Nidus collocaliae authentication method
CN103954583B (en) A kind of infrared spectrum detection method of bird's nest
Downey et al. Authentication of Freshvs. Frozen-then-thawed Beef by Near Infrared Reflectance Spectroscopy of Dried Drip Juice
CN104297206A (en) Quick liquid milk brand identifying method
Fatima et al. Towards normalization selection of Raman data in the context of protein glycation: Application of validity indices to PCA processed spectra
KR101198654B1 (en) Biomarkers for origin discrimination of beaf meat
Fu-Li et al. Surface-enhanced Raman spectroscopy for rapid determination of β-agonists in swine urine
CN103712948A (en) Rapid nondestructive test method for content of volatile basic nitrogen in raw and fresh mutton
Li et al. Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics
KR20080075761A (en) Development for discriminating geographical origin of green tea products from korea and japan by nir spectrophotometer
CN104749150A (en) Edible oil quality fast identification method and identification device based on three-dimensional fluorescence spectrum
AU2019100481A4 (en) Quick and nondestructive cubilose authenticity discrimination method
CN105158202A (en) Quick and nondestructive sesame oil brand identification method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20150218