CN209640222U - A kind of frying oil intelligent online detection device - Google Patents

A kind of frying oil intelligent online detection device Download PDF

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CN209640222U
CN209640222U CN201821103938.6U CN201821103938U CN209640222U CN 209640222 U CN209640222 U CN 209640222U CN 201821103938 U CN201821103938 U CN 201821103938U CN 209640222 U CN209640222 U CN 209640222U
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oil
frying
frying oil
detection device
light source
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顾海洋
师海荣
孙艳辉
吕日琴
刘淑兰
李双芳
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Chuzhou University
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Chuzhou University
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Abstract

The utility model provides a kind of frying oil intelligent online detection device.Frying oil fluorescent material ingredient and frying oil correlation of attributes during frying, establish frying oil intelligent detection device and method based on fluorescence spectroscopy technique.The fluorescence spectrum in frying oil use process is obtained by on-line measuring device by computer settings qualification oil product and slop oil threshold value, and in real time, obtains the relationship between indexs and threshold value such as total polarity content of tested oil sample in real time.When the index that on-line checking goes out is greater than given threshold, stop the use of frying oil.The utility model intelligent can quickly detect frying oil quality comparison situation, can be applied to the frying oil quality such as palm oil, soybean oil, peanut oil intelligence, quickly detection.

Description

A kind of frying oil intelligent online detection device
Technical field
The utility model belongs to field of rapid food detection, and in particular to acquires in real time to the fluorescence spectrum of frying oil quality The Fast Detection Technique determined with oil intelligent.
Background technique
China is maximum frying oil processing big country, the world today, big producer, consumption big country and inlet and outlet big country, is being decocted There is very important status in frying oil and its relevant food service industry.2016 with peanut, soybean, rapeseed, linseed, oil Tea seed, sesame and sunflower seeds are that eight big food plant oil yields of representative are about 5884.7 ten thousand tons, and import edible vegetable oil is about 8952.9 ten thousand tons.Palm oil is that the frying oil of representative is the important component of China's food special fat, is that fried food is raw Essential primary raw material during production.
Frying oil is the special fat during food frying, and the edible oil and fat of fried food is suitble to be referred to as frying oil. Frying oil is in high-temperature heating state in use, and a variety of chemical reactions, which easily occur, for grease causes oil quality to decline.With China's food demand change from simply having adequate food and clothing to health type, consumer is higher and higher to requiring in terms of food quality and nutrition.Cause This, the oil product control in frying oil use process becomes one of the key factor of fried food quality guarantee.Frying oil is main Based on saturated fatty acid, supplemented by unsaturated fatty acid, wherein saturated fatty acid content is generally more than 70%. while having higher Endogenous anti-oxidative ingredient, be not easy to be oxidized and the state of oxidation be preferable, and fry that well cuts are lower, and smoke point is higher.
Traditional frying oil quality mainly refers to according to acid value, peroxide and the total polar substances in national standard for physics and chemistry Mark carries out analysis of oil using two methods of titration and potentiometric titration.These detection methods can be obtained accurately Frying oil quality information, however these detection methods have certain hysteresis quality, it is difficult to frying oil oil product information is obtained in real time.It decocts Frying oil quality quality is directly closely related with fried food quality, and enterprise will be generally at unqualified in order to ensure product quality The frying oil of state carries out scrapping processing, which results in enterprise's production cost and be significantly greatly increased, while also resulting in a large amount of Problem of environmental pollution.
The utility model proposed adoption one kind is based on fluorescence spectroscopy technique, develops that a kind of frying oil is online, intelligent detection device. The implementation of the utility model will ensure the health production of fried food, play to food enterprise fried food quality aspect important Effect.
Utility model content
The utility model aim is to provide the quality on-line measuring device during a kind of frying oil frying, realizes to decocting The quick detection of the chemical index such as acid value, peroxide and total polar compound in fried food production and intelligent distinguishing.
In order to solve above-mentioned technical problem, fluorescence spectroscopy technique is applied in frying oil use process by the utility model Quality intelligent measurement, specific technical solution are as follows:
A kind of frying oil intelligent online detection device, including light source (1), frying device (9), sample flow cell (6), fluorescence Detector (12) and data processing equipment (14);The excitation that light source (1) is opened up by incident optical (2) and sample flow cell (6) Window (3) connection, sample flow cell (6) are placed in constant water bath box (7), and frying device (9) is by peristaltic pump (10) by pipe Road (8) is connected to sample flow cell (6), and fluorescence detector (12) is opened up by the output optical fiber (11) and sample flow cell (6) Launch window (4) connection, data processing equipment (14) are connect by data line (13) with fluorescence detector (12).
Preferably, the light source (1) is the monochromatic excitation light source that multiple LED are generated or the monochromatic excitation light source that laser generates The excitation light source array of composition.
Preferably, the excitation window (3) and launch window (4) are made using quartz glass as material and the two is in 90 ° of folders Angle.
Preferably, the incident optical (2) and the output optical fiber (11) are fluorescence optical fiber.
Preferably, the data processing equipment (14) is computer.
Preferably, the frying oil be the palm oil that can be used for frying, it is peanut oil, soybean oil, single in rapeseed oil The ready-mixed oil that oily substance or two or more oily substances mix.
A kind of detection method of above-mentioned frying oil intelligent online detection device, comprising the following steps:
Frying oil in S1, frying device (9) is delivered through piping (8) to sample flow cell by peristaltic pump (10) (6) in;
Frying oil (5) in S2, sample flow cell (6) cools down rapidly in thermostat water bath (7), and carries out fluorescence spectrum Acquisition and data analysis;
The frying oil that S3, data have acquired is delivered back in frying device (9) by peristaltic pump (10).
Preferably, in step S2 fluorescence spectrum acquisition the following steps are included:
The monochromatic light that S21, light source (1) are launched reaches excitation window (3) by incident optical (2);
The emission spectrum that S22, frying oil (5) generate after being excited by light source (1) passes through the output optical fiber by launch window (4) (11) fluorescence detector (12) are entered;
S23, fluorescence detector (12) collected signal are transferred to data processing eventually by data line (13) and set Standby (14).
The data processing equipment (14) is equipped with frying oil intelligent measurement program, has visualization human-computer interaction circle Face, the Δ λ that can obtain Fluorescence Spectrometer acquisition in real time is the transmitting of excitation spectrum information and 200nm-800nm under 0-180nm Fluorescence spectrum information intelligently obtains acid value, peroxide and total polar compound numerical value by human-computer interaction interface, and with it is set Qualified threshold value be compared, so that whether intelligent decision frying oil qualified.
Preferably, in step S2 data analysis the following steps are included:
S24, the collected fluorescence data of fluorescence detector is subjected to data processing by established model of mind, Relationship between oil quality index value after comparing data processing and the qualified threshold value of setting;
S25, when the numerical value that data processing obtains be less than set qualified threshold value when, assert the frying oil quality be in close Trellis state can continue to use;When the numerical value that data processing obtains is greater than the qualified threshold value of setting, the frying oil quality is assert In unqualified state, the frying oil is stopped using to carry out production;To realize to decocting in fried food production process Frying oil quality is precisely controlled.
Preferably, model of mind described in step S24 foundation the following steps are included:
Using frying device fried food, the frying oil oil sample under the conditions of different fryings is obtained, is obtained by physico-chemical analysis With the physical and chemical index information of frying oil correlation of attributes, while fluorescence spectrum information is acquired, is based on using mode identification method foundation The frying oil quality intelligent measurement model of fluorescence spectrum;While according to national standard relevant regulations and enterprise practical situation is combined, Set the fluorescence spectrum qualification threshold value in frying oil use process.
Preferably, data processing described in step S24 are as follows: use parallel factor algorithm to number collected according to formula (1) It scores according to progress feature extract real-time, then with loading value it, finally by three-dimensional fluorescence spectrum Data Dimensionality Reduction at feature Property two-dimensional fluorescence spectrum data;
In formula, xijkFluorescence data when being as input data;I is sample size when extracting for characteristic feature The fluorescent sample information data of the input of information;J is fluorescence emission spectrum information;K is fluorescent exciting spectrum information;aifIt is i sample The f factor content information of this fluorescence signal;bjfIt is the f factor information for emitting fluorescence spectrum;ckfBe fluorescence excitation spectrum f because Sub- relevant information;eijkIt is the fluorescence spectrum information of the reflection of Ruili present in fluorescence spectrum information, noise;I, j, k are nature Number.
The utility model has the beneficial effects that:
The utility model uses frying oil sampler and intellectualized detection device, realizes online, intellectualized detection frying The chemical index such as edible vegetable oil acid value, peroxide and total polar compound in the process pass through the qualified threshold value ratio with setting Relatively intelligentization determines whether frying oil is qualified.The three-dimensional fluorescence data that the utility model will acquire are screened by parallel factor algorithm Characteristic excitation wavelength, dimensionality reduction reduces data processing time at characteristic two-dimensional fluorescence spectrum data, to reach online prison The purpose of survey.
Detailed description of the invention
Fig. 1 is the utility model frying oil on-line measuring device schematic diagram;
Fig. 2 is Fluorescence Spectrometer frying oil three-dimensional fluorescence spectrum figure collected;
Fig. 3 is the loading shot chart that parallel factor method obtains;
Fig. 4 is the peanut oil fluorescence spectra under the different frying periods;
Fig. 5 is qualified oil sample and unqualified oil sample intelligent distinguishing figure.
Appended drawing reference:
1- light source, 2- incident optical, 3- excite window, 4- launch window, 5- frying oil, 6- sample flow cell, 7- constant temperature Water bath, 8- pipeline, 9- frying device, 10- peristaltic pump, 11- the output optical fiber, 12- fluorescence detector, 13- data line, 14- data processing equipment.
Specific embodiment
To be best understood from the utility model, the utility model is further described below with reference to examples and drawings, with Lower embodiment is only to be illustrated to the utility model rather than be limited to it.
Fig. 1 online, intelligent detection device schematic diagram for frying oil, according to Fig. 1, by fluorescence detector 12 and computer (number According to processing equipment 14) it is attached by USB connecting line, the detection window on sample flow cell 6 respectively and is entered with 90 ° of angles It penetrates optical fiber 2 to be attached with the output optical fiber 11, incident optical 2 is attached with light source 1, the output optical fiber 11 and fluorescence detector 12 It is attached;Frying oil 5 enters in sample flow cell 6 from peristaltic pump 10 is passed through in frying device 9 for fluorescence spectrum acquisition.
Light source 1 is the exciting light for the monochromatic excitation light source composition that the monochromatic excitation light source that multiple LED are generated or laser generate Source array excites window 3 and launch window 4 to be made using quartz glass of material, and incident optical 2 and the output optical fiber 11 are fluorescence light It is fine.Frying oil be the single oily substance that palm oil, peanut oil, soybean oil, rapeseed oil etc. can be used for frying or two kinds with The ready-mixed oil that upper oily substance mixes.
By the fluorescence spectrum interface program setting Fluorescence Spectrometer acquisition parameter of fluorescence detector 12, the time of integration is 1000-100000ms, Detection wavelength range are selected as 200-800nm, and average repeated acquisition 3 times;It is glimmering when acquisition is without frying oil Light spectrum is as reference spectra.During food frying, light source 1 is opened, starts peristaltic pump 10, the light that light source 1 issues at this time is logical It crosses incident optical 2 to reach at excitation window 3, into sample flow cell 6, the emission spectrum generated after frying oil sample excitation is logical It crosses launch window 4 and enters fluorescence detector 12 by the output optical fiber 11, computer is fried eventually by fluorescence detector 12 Oily on-line checking fluorescence spectrum.
The data that fluorescence detector 12 is collected are that three-dimensional fluorescence spectrum data (Fig. 2) needs just build by feature extraction The vertical online test method that robustness is good, accuracy is high.Mainly using parallel factor algorithm (PARAFAC) on MATLAB platform Feature extract real-time is carried out to data collected, main algorithm is as followsI=1, 2 ..., I, j=1,2 ..., J, k=1,2 ..., K (1).X in formulaijkFluorescence data when being as input data, Middle i is the fluorescent sample information data of input, is mainly used for sample size information when characteristic feature is extracted, what j was indicated is fluorescence Emission spectrum information, what k was indicated is fluorescent exciting spectrum information.aifIt is the f factor content information of i sample fluorescence signal;bjfTable Show about emission spectrum f factor information;ckfIt is the f factor relevant information of fluorescence excitation spectrum, eijkIt is to be deposited in fluorescence spectrum information Ruili reflection, the fluorescence spectrums information such as noise.By features described above information extraction by the more complicated three-dimensional fluorescence of ingredient Spectral signature information extracts, and is scored it (Fig. 3) with loading value, finally by three-dimensional fluorescence spectrum Data Dimensionality Reduction At characteristic two-dimensional fluorescence spectrum data (Fig. 4).
During frying, the fluorescence spectrum of the frying oil in online using above-mentioned apparatus, real-time acquisition frying device leads to Cross the intelligent measurement algorithm in operation interface, be quickly obtained the relevant physical and chemical index of frying oil, by with threshold value comparison, determine decoct Whether frying oil oil product is qualified.Here physical and chemical index is mainly acid value, peroxide and the total polar compound of frying oil.By Fig. 4 It is found that different fryings period (time) cause the state of oxidation of frying oil different, become on fluorescence spectrum spectrogram in regularity Change, shows as the fluorescent characteristics peak presentation that anti-oxidant Vitamins E is representative and be decreased obviously trend, this downward trend and acid Valence, peroxide and total polar compound are the negatively correlated property of physical and chemical index (i.e. anti-oxidant fluorescent component reduction, the physical and chemical generation of representative Thank to index value rising).
When determining every time the frying oil oil product in frying device later, it is only necessary to pass through the on-line checking built The intelligent measurements model such as device and support vector machines can obtain frying oil physical and chemical index specific value, and at the same time can in real time To determine whether frying oil is qualified.As shown in figure 5, when the physical and chemical index numerical value of measurement is greater than the numerical value of setting, intelligent measurement Program is directly determined as unqualified (label 2), can directly terminate frying course;It is set when the physical and chemical index of measurement is less than When definite value, intelligent measurement program directly determines that it is qualified oil product (label 1).
Embodiment described above is only that preferred embodiments of the present invention are described, not practical to this Novel range is defined, and under the premise of not departing from the spirit of the design of the utility model, those of ordinary skill in the art are to this The various changes and improvements that the technical solution of utility model is made should all fall into the guarantor that claims of the utility model determine It protects in range.

Claims (6)

1. a kind of frying oil intelligent online detection device, it is characterised in that: including light source (1), frying device (9), sample flow Pond (6), fluorescence detector (12) and data processing equipment (14);Light source (1) passes through incident optical (2) and sample flow cell (6) Excitation window (3) connection opened up, sample flow cell (6) are placed in constant water bath box (7), and frying device (9) passes through peristaltic pump (10) it is connected to through piping (8) with sample flow cell (6), fluorescence detector (12) passes through the output optical fiber (11) and sample flow cell (6) launch window (4) connection opened up, data processing equipment (14) are connected by data line (13) and fluorescence detector (12) It connects.
2. a kind of frying oil intelligent online detection device according to claim 1, it is characterised in that: the light source (1) is The excitation light source array for the monochromatic excitation light source composition that the monochromatic excitation light source or laser that multiple LED are generated generate.
3. a kind of frying oil intelligent online detection device according to claim 1, it is characterised in that: the excitation window (3) and launch window (4) is made using quartz glass as material and the two is in 90 ° of angles.
4. a kind of frying oil intelligent online detection device according to claim 1, it is characterised in that: the incident optical (2) and the output optical fiber (11) is fluorescence optical fiber.
5. a kind of frying oil intelligent online detection device according to claim 1, it is characterised in that: the data processing is set Standby (14) are computer.
6. a kind of frying oil intelligent online detection device according to claim 1, it is characterised in that: the frying oil is can With in the palm oil of frying, peanut oil, soybean oil, rapeseed oil single oily substance or two or more oily substances it is mixed Ready-mixed oil made of conjunction.
CN201821103938.6U 2018-07-12 2018-07-12 A kind of frying oil intelligent online detection device Active CN209640222U (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108709878A (en) * 2018-07-12 2018-10-26 滁州学院 A kind of frying oil intelligent online detection device and detection method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108709878A (en) * 2018-07-12 2018-10-26 滁州学院 A kind of frying oil intelligent online detection device and detection method

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