EcoChem germplasm resource detection and identification system

EcoChemGermplasm Resource Testing and Identification System

Seeds are special commodities with life and are the most basic means of production in agriculture. In agricultural production, the ability to achieve high yield, high quality, and high efficiency depends not only on the quality of seed varieties, but also on the quality of seeds. At present, there are still some chaos in the seed market. Some small and medium-sized enterprises, due to their meager profits, take risks and engage in illegal production, passing off inferior products as good ones. So conducting seed testing is of great significance. This approach can also effectively analyze, identify, and evaluate the quality, batch, and utilization value of seeds. Now we canEcoChemThe laser spectral element measurement system detects the elemental spectral characteristics and component characteristics of seeds for seed classification and identification, transgenic product detection, seed vitality grading detection, etc. This is a new method and rapid detection technique.

EcoChemThe germplasm resource detection and identification system adopts laser-induced breakdown spectroscopy（LIBS）Technology, detection limit can reachppmGrade. The measured elements can cover most of the elements in the periodic table, up to100varied. The solid-state laser of the system generates laser and acts on the surface of the sample. When the laser energy is greater than the breakdown threshold energy of the sample, plasma is formed on the surface of the sample. The sample materials excited by laser energy in these plasmas reach high-energy states and rapidly migrate back to low-energy states, emitting emission spectra with information about the types and contents of sample elements. These emission spectral signals are collected by an intelligent signal collection system and transmitted to a spectrometer for spectral analysis, and then detected by a spectral signal detector to obtain elemental information. The system has been applied in various fields such as soil and plant sample detection, heavy metal pollution detection, measurement and identification of traditional Chinese medicine elements, germplasm resource detection and identification, gemstone analysis and identification, mineral analysis, etc.

Take different types of corn seeds and use the built-in systemPCAThe principal component analysis model was used for classification and identification, and the classification effect was significant.

Randomly selecting seeds of Lu Bing Hua, morning glory, sunflower, and purple jasmine for classification and determination, the system can effectively distinguish similar flower seeds. It is also possible to establish a seed feature library to identify and analyze unknown seeds, seeds of different varieties and origins.

Dormant seeds require vitality testing to predict their germination ability, and the importance of seed vitality for agricultural production is self-evident. Traditional methods take a long time and require pre-processing. Some methods also have certain requirements for operating temperature and lighting, while others require manual judgment and may have certain errors. The vitality of seeds is most vigorous during physiological maturity, and natural irreversible seed aging occurs with prolonged storage time, resulting in a gradual decrease in seed vitality. Therefore, timely grading and screening of seed vitality before planting is of great significance.

Taking morning glory seeds as an example, high-temperature and high humidity aging treatments were carried out, and measurements were taken for seeds under different conditions. Establishing a predictive model between laser-induced breakdown spectroscopy and seed vitality can enable timely grading and screening of seed vitality before sowing.

Grading detection of vitality in morning glory seeds, with distinct characteristics observed in seeds treated differently

Take plump rice seeds and analyze their elemental distribution. One experiment can simultaneously obtain the distribution of multiple elements. The following picture shows rice seedsCaTheSiTheAlThe distribution of elements. From the figure, it can be seen that the edge of the grainCaandAlThe element content is relatively high, andSiThe element content is relatively low.

Main technical indicators of the system:

Laser system:

Laser energy:200mJ@1064nmEnergy output0-100%Adjustable; （25mJ@266nmLaser optional)

Spot quality control system

Reproducibility: 20Hz, pulse width<6ns, DI water cooling system

Spot size:50300 μ m continuously adjustable

Laser shutter: automatic dual shutter, stable control of laser energy and LIBS signal

Laser safety: Level I, equipped with laser locking protection device

Detector: The spectral width can cover the measurement range of all elements, and can measure the information of all elements in the periodic table such as C, P, Mg, Si, Fe, Ca, Na, K, N, H, O, etc. The spectral wavelength accuracy is ± 0.08nm; Spectral resolution of 0.10nm @ 400nm; The door delay time is 0.5ns-1ms.

Equipped with automatic height adjustment function

workbench:

Fully automatic XYZ stroke, XY stroke 100mm × 100mm, Z stroke50mm， Speed 0-10mm/s

XY stroke resolution: 0.2 μ m, Z stroke resolution: 1 μ m

The sample chamber can be filled with helium or argon gas

operating software

Chinese software interface, including NIST and ElementLIBS element recognition databases. It is easy to detect and identify elements on the periodic table and label them with information. The software also has the following functions: the software can perform command operations on all hardware components (laser, spectrometer, 3D workbench, gas path, etc.), with a friendly interface, intuitive operation, and simple use; Built in multiple sampling methods, including single point, multi-point, straight line, matrix point, etc; Equipped with automatic focus control, it can quickly and conveniently identify samples; Can control the dual lenses (panoramic view and magnifying view) built into the system; Built in PLS, PCR and other calibration calculation models can quickly calculate element content; Built in PCA, HCA and other computational models for element classification analysis and traceability; Can perform element mapping analysis; Accurate control of the gas path; Built in conversion of various data formats such as txt, dat, etc; Built in multiple common soil and plant standard curve libraries in China, convenient for users to refer to and call.

Data Processing Center:

Dedicated quad core CPU, 16GB memory desktop computer, and 27’monitor

Optional accessories:

Desktop tablet press, helium or argon gas