Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Monitoring method for change of nitrogen stress of characteristic peaks of microalgal oil with time

A time-varying, microalgae oil technology, applied in the field of nitrogen stress monitoring over time, can solve the problems of cumbersome operation, time-consuming, labor-intensive, etc., and achieve the effect of simplifying the operation steps, shortening the detection time, and avoiding unskilled operation

Inactive Publication Date: 2015-05-20
ZHEJIANG UNIV
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a monitoring method of nitrogen stress over time based on the characteristic peaks of microalgae lipids, which solves the problems of relatively cumbersome, time-consuming, and labor-intensive operations that require dyeing or complex chemical treatment of samples in existing detection methods
By preprocessing the collected Raman signal, the Raman spectrum intensity value is easily affected by different growth stages of microalgae, different exposure times, and the decomposition of pigments over time.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Monitoring method for change of nitrogen stress of characteristic peaks of microalgal oil with time
  • Monitoring method for change of nitrogen stress of characteristic peaks of microalgal oil with time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention is further explained below in conjunction with specific examples.

[0023] The samples of Chlorella pyrenoidosa under nitrogen stress were taken, and the Raman spectrum raw information of the live algae liquid samples was obtained by using a Renishaw micro confocal Raman spectrometer (inVia–Reflex 532 / XYZ). The prepared algae liquid is about to be dropped on the glass slide, flattened with a cover glass (to avoid air bubbles), and the algae liquid is fixed with agar, and then fixed on the stage under the objective lens of the micro-Raman spectrometer. The exposure time is set to 1s, the laser intensity is 1mv, and the accumulation times are once. The whole experimental process is carried out under the condition of constant temperature (about 25°C). The original Raman spectral lines of Chlorella pyrenoidosa samples were collected under nitrogen stress (1 day, 4 days, 7 days) by the above-mentioned method, as figure 1 shown.

[0024] Since the ori...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
diameteraaaaaaaaaa
Login to View More

Abstract

The invention discloses a monitoring method for the change of nitrogen stress of the characteristic peaks of microalgal oil with the time. The monitoring method comprises the following steps: (1) adopting a Raman spectrometer and acquiring Raman-spectrum original information of chlorella pyrenoidosa under the same nitrogen-nutrition environment at different periods; (2) preprocessing the obtained Raman-spectrum original information, obtaining a preprocessed spectrogram and extracting Raman intensity values corresponding to the microalgal characteristic peaks in the spectrogram; (3) adopting the Raman intensity values as input, adopting different periods of the same nitrogen-nutrition environment as output, and establishing a judgment model based on a multiple regression algorithm; and (4) taking live algae liquid, obtaining a corresponding Raman intensity value by processing in the step (1) and the step (2), inputting the judgment model and obtaining a result of the change of the nitrogen stress of the algae liquid to be monitored with the time. The monitoring method disclosed by the invention has the advantage that the problems that dyeing or complex chemical treatment needs to be carried out on the sample, the operation is relatively tedious and consumes time and labor in the existing detection method are solved.

Description

technical field [0001] The invention relates to the technical field of microalgae growth environment monitoring, in particular to a method for monitoring nitrogen stress over time based on characteristic peaks of microalgae oil. Background technique [0002] Microalgae are a class of eukaryotic microorganisms that can convert carbon dioxide into potential biofuels, food, feed, and high-value bioactive molecules and perform photosynthesis. Microalgae have ecological and biological value and are an important biomass resource. [0003] Chlorella is a type of single-celled green algae, which belongs to Chlorophyta, Chlorophyceae, Chlorophyceae, Softycetaceae, and Chlorella genus. It is widely distributed in nature and has the largest variety in freshwater waters. At present, there are about 15 species of chlorella known in the world, and there are more than a hundred varieties. Chlorella cells are generally spherical or ellipsoidal in shape, with a diameter of 2-12 μm. Studie...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65
Inventor 邵咏妮蒋林军潘健何勇
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products