Food authentication has become a well-recognized regarding issue in food markets as, nowadays, several customers have to be compelled to be assured spiritual authentication in their food decisions and additionally different protection against counterfeit practices in food industries. Food authentication validates label info regarding the food origin and production method. Food authentication may be a speedily growing field thanks to raising public awareness engross food quality and safety.This paper presents crucial the analytical techniques that square measure used for genuineness analysis, explaining however and why they furnish possible solutions. Classification of various technology relies on genuineness indicators providing insight into forthcoming developments. The planned paradigm system consists of 2 elements. the primary section is that the sensing and therefore the second is knowledge assortment. This extremely integrated device delivers a 6- channel multi-spectral sensing within the near-infrared wavelengths from roughly 610nm to 860nm with fullwidth half-max of 40nm.

Components :

Arduino D1(NodeMCU) :

 A. NIR Spectroscopy : 

Near-infrared spectroscopy is a type of spectroscopic process. Nearinfrared spectroscopy process operates in the near-infrared region of the electromagnetic radiation. NIR is used in particle sizing. Interfacing is the transfer of data between microcontrollers and interface peripherals such as LCD displays.

 B. Light Source : 

A white LED provides a wide spectrum of light, the light passes through the sample and the spectrometer detects the light through its opening. Each channel has its amplitude based on the level at - which the sample undergoes absorption.

 C. OLED : 

An Organic Light Emitting Diodes works on a flat light emitting technology. The structure consists of organic thin films which are placed in series between two conductors. As soon as the current is applied, the bright light is emitted. There is no requirement of backlight in OLEDs. OLEDs are efficient when compared to LCDs. OLEDs are thin in structure.

 D. Internet of Things (IoT) : 

The IoT is the base for the technology which is used every day. The IoT helps to send and receive data, and it has its modern and user-friendly effects in everything, including transportation, communication. The IoT is used in things, they are embedded with sensors. The IoT is present in software used for connecting and exchanging data among other devices and systems via the internet.

 Existing Methodologies :

 1.Microbial Analysis : 

The microbial analysis is for the identification of biological organisms like fungi and microbes, with little difference in characteristics. The existing methods are slow and cumbersome. In addition to the slow speed and the offline observation, the main disadvantage of this technique is that it is very costly. The developers overcame the problems of low speed, offline compatibility, and increased cost of microbial analysis by producing new technologies with high speed, new economics, and environment-friendly techniques. In this case, the sample is tested without touching it by using spectral measurements and imaging. Meanwhile, we must also adapt to new circumstances and merchandise.

 2.Chemical Analysis : 

This technique evaluates if the measured samples are clearly distinguishing the batch or not. The existing analysis may not be accurate because it needs to be calibrated correctly, it needs an advanced multi-phased process and it will work properly depending on the substance used. Additionally, the substance used as the sample should not be heterogeneous; at the same time, Quality Analysis cannot be used for all food units and creates a lot of waste. . 

(i) To test Jaggery for Metanil Yellow color 

• Take ¼th part of a tea spoon of the jaggery in a test tube 

• Add 3 ml of alcohol and shave the test tube vigorously to mix up the contents.

• Pour 10 drops of Hydrochloric and in it.

• A paint coloration indicines the presence of Metanil Yellow color in jaggery.

 (ii) To test Jaggery for Sodium Bicarbonate or Washing Powder 

• Measure 1/4 part, of crushed jaggery into the test the or glass container 

• Put on the rubber gloves and measure 1/2 drop of Muriatic Acid or Hydrochloric Acid into the container 

• Watch for signs of effervescence (bubbles) in the mixture. 

• Effervescence indicates an adulteration with sodium bicarbonate or washing powder, moaning the jaggery is not pure. 

(iii) Determination of Ash insoluble in diluteHCI 

• Take 5 gm of sample in a silica dish. 

• Keep the sample and ash in furnace at 550 C. Add 25 ml of 1:2.5 Hydrochloric acid to the ash. 

• After covering the dish with a watch glass, boil it for 5 minutes. Cool, filter through an ashless fitter paper and wash the residue well with hot water until acid-free. 

• Return the filter paper to the silica dish and incinerate at 520C. Cool, weigh and calculate as % acid insoluble ash. 

IV. PROPOSED METHODOLOGY : 

Food sample is placed between NIR prism spectroscope (AS7263) and a lightweight supply. The white light-weight passed through the leaf sample and probes the gap of the sensing element. Optical components within the sensor breakdown into six wavelengths which strike on the photodetector, and, therefore, the photodiode voltages are processed and converted into light intensity. Each time after conversion, the optical instrument AS7262 sends three sets of six numbers constituting the amplitude of six channels within the NIR spectrum. The Arduino is programmed to collect and store knowledge into a file. These knowledge files are now transmitted to a pc for screening and process. These process knowledge contributes six states of the spectrum in NIR. The sample partly absorbs or partly passes through these six states of spectrum. The convenience of the system is compactness, low cost, advanced technology system-on-chip prism spectroscope, the AS7263 created by AMS. The project setup consists of NIR prism Spectroscope AS7263 bounded on the bread board. The standard value of the jaggery is noted. The one Arduino is connected to the laptop and another peripheral is connected to the NIR prism spectroscope AS7263. The AS7263 is connected to the OLED. The sample that is taken here is the powdered jaggery. The Jaggery sample is taken in a transparent container and placed above the light source present in the AS7263.Working is shown in fig . The wavelengths are displayed on the desktop in the Arduino application. The tested wavelength of the jaggery is noted. Two samples of jaggery are taken. The Wavelengths of the two samples are observed using the same process. The sample which is pure shows a wavelength approximately equivalent to the standard value. The adulterated jaggery shows a wavelength different from the standard value. Now the values noted from the measured wavelength and the existing wavelength are compared. If the values are approximately equal, then the OLED displays “Good Quality”. If the values show any deviation, then the OLED displays “Adulterated”. The comparison of the standard wavelength value and the wavelength obtained from the experiment decides whether the jaggery is adulterated or not. If the standard value and measured value are different, it indicates that the jaggery is adulterated. This set up is compact and is useful to identify whether the jaggery is adulterated or not. 

Working flowchart :

Circuit Diagram :

Block Diagram :

Working/Output :

Conclusion : 

Food authentication is that the technique that produces advantageous that a meals is in compliance with its label description. credibleness checking out can be a normal criterion for meals and meals ingredients, every from business and prison factors of read. From the financial reason of read, product authentication is vital to keep aw ay from unfair opposition which can damage the marketplace and disrupt now no longer totally nearby economies but conjointly country wide with this vital for consumer safety and meals safety, meals analyzers have engaged inside the studies and improvement of fast and accurate analytical strategies for meals adulteration and fraud. Given the first-class of the beverage’s matrices, first-class derives from a complex aggregate of characteristics, consequently analytical measurements for one analyte or approach will seldom be associated with the first-class fulfilment. it is vital to exchange the variable facts evaluation to set off the preferred first-class facts and reveal key manufacturing parameters. Combined with fast and real detector, chemical evaluation and herbal system strategies that rectangular degree getable those days, statistical process offers a whole lot of elaborated facts regarding the expressed first-class of meals, eases unique among meals tests, and enables credibleness. The variable carried out arithmetic evaluation of mixed facts from those strategies are frequently a strong device for purchasing a whole lot of dependable results.