16th International Workshop on Advanced Infrared Technology and Applications (AITA 2021)

The 16th International Workshop on Advanced Infrared Technology and Applications (AITA 2021) was held online on 26–28 October 2021.

Rapid determination of patchouli oil quality as a tropical plant using infrared technology

Patchouli alcohol (PA) content is an important indication in the world patchouli oil trade. Testing the PA content of patchouli oil usually takes a long time and expensive, so that it greatly inhibits the activity of buying and selling patchouli oil in the community. Therefore the main objective of this study is to develop NIRS technology to estimate the PA content in Aceh patchouli oil purified rapidly and appropriately using PLSR and PCR methods. The sample in this study was patchouli oil which was purified into 20 types based on PA content. Laboratory test using GC-MS. Near infrared (NIR) spectrum of Patchouli oil samples were acquired and recorded using self-developed FT-IRIPTEK T-1516. The results showed that NIRS technology with PLSR and PCR methods provides a solution to solve the problem of PA content prediction in Aceh’s patchouli oil. SNV pretreatment is proven to improve prediction accuracy and robustness of the prediction model that built. The PLSR-SNV method succeeded in obtaining a prediction model that was categorized as very good model performance, while PCR-SNV method succeeded in obtaining a prediction model that was categorized as good model performance.

Rancang Bangun Multi Sensor Pengukur Tinggi Muka Air Untuk Lahan Sawah

Abstrak. Penghematan air untuk irigasi permukaan adalah salah satu cara mengurangi efek lingkungan dari budidaya tanaman padi. Dalam sistem AWD(Alternate Wetting Drying) lahan sawah digenangi secara berselang, ketinggian air dari permukaan tanah dimonitor sesuai dengan rekomendasi AWD. Metode ini terbukti dapat mengurangi penggunaan air tanpa mengurangi hasil panen. Perkembangan saat ini pada platform cloud IOT sensor-sensor dapat berhubungan langsung dengan sistem yang menyimpan data dalam kapasitas yang besar, data ini selanjutnya dapat didownload dan diproses. Penelitian ini bertujuan untuk mendesain sistem multi sensor alat pengukur ketinggian permukaan air yang memiliki catu daya yang bersumber pada energi matahari dan dilegkapi dengan baterai Li-Ion dan berbentuk ringkas. Komunikasi dari masing masing sensor ke rangkaian master dilakukan melalui komunikasi radio. Mode hemat daya yang menonaktifkan sensor dan modul radio pada kondisi stanby dapat menghemat pemakaian baterai, tanpa penyinaran matahari baterai dapat bertahan 11,6 hari dibadingkan dengan 3,2 hari pada mode non hemat daya.Tegangan baterai dan pembacaan ketinggian permukaan air diupload ke ThinkSpeak IoT cloud oleh rangkaian master, untuk dianalisa lebih lanjut. Design of Paddy Field Water Level Multi Censor Abstract. Water conservation for field irrigation is an important key to reducing environmental effects from paddy cultivation. In the AWD (Alternate Wet Drying) method, the rice field is alternately flooded and non-flooded, water height is always measured to adjust with AWD recommendation. This method proved for reducing water usage without decreasing yield. With recent development from IoT Cloud platform, sensors can interface directly to cloud systems and store much data so it can be downloaded and processed later. In this study, electronic water height multiple sensors based on infrared technology is equipped with solar panel and Li-Ion battery storage designed with a compact form. Communication from sensors to master done by radio wave. Power saving method which turnoff sensors and radio power in the standby condition can conserve battery to stand the power without sunlight 11.6 days compared to 3.2 days in non-power-saving design. Battery voltage and water level reading from each sensor is uploaded to Think Speaks cloud IoT dashboard, this data can be analyzed later for other purposes.

Research on the relationship between reduced scattering coefficient and intracranial pressure in brain edema model

Intracranial hypertension is a serious threat to the health of neurosurgical patients. At present, there is a lack of a safe and effective technology to monitor intracranial pressure (ICP) accurately and nondestructively. In this paper, based on near infrared technology, the continuous nondestructive monitoring of ICP change caused by brain edema was studied. The rat brain edema models were constructed by lipopolysaccharide. The ICP monitor and the self-made near infrared tissue parameter measuring instrument were used to monitor the invasive intracranial pressure and the reduced scattering coefficient of brain tissue during the brain edema development. The results showed that there was a negative correlation between the reduced scattering coefficient (690[Formula: see text]nm and 834[Formula: see text]nm) and ICP, and then the mathematical model was established. The experimental results promoted the development of nondestructive ICP monitoring based on near infrared technology.

PSIII-2 Infrared technology: A potential tool for improved pork production

This study investigated infrared technology (IRT) as a non-invasive tool for identifying febrile or stressed pigs before slaughter. A total of 120 market pigs (BW= 105.1 ± 4.9 kg) were transported in five replicate trips (20–25 pigs/replicate) for ~2 hr to an abattoir during summer 2020. Ocular and body temperatures of the pigs were recorded using a consumer grade digital infrared camera (FLIR C3, FLIR Systems) in lairage immediately after transport. Thermographic images were taken from 0.25m and 2m from pigs’ eyes and body (back/flank), respectively. At slaughter, blood samples were collected from each animal for cortisol, glucose and lactate analyses. Carcass pH measures were taken at 1 and 3 h post-mortem and loin samples were collected for meat quality assessment. Linear regression models (SAS 9.4) were used to evaluate whether post-transport temperature was predictive of blood and meat quality responses using ambient temperature and relative humidity as covariates. There were significant relationships between pigs’ ocular and body temperatures and blood measures. The regression coefficient (r2) of ocular temperatures for blood cortisol, glucose and lactate were 0.15, 0.15 and 0.04, respectively (P ≤0.03). There were significant relationships between pig ocular temperatures and pH taken at 1, 3 and 24 h post-mortem (r2=0.32, 0.18 and 0.51 respectively, P < 0.001). Meat yellowness (b*) and drip loss increased with body temperatures [r2=0.12 (P =0.0002) and 0.05 (P = 0.024), respectively]. Results for Warner-Bratzler shear force showed that higher temperatures were associated with tougher meat (ocular temperature: r2=0.51, P < 0.0001). In conclusion, as pig temperature increased, blood stress markers and drip loss increased and pH at 1 and 3 h post-mortem decreased, indicative of pale, soft and exudative (PSE) meat traits. IRT shows potential for identifying diseased/stressed pigs prior to slaughter and could be a valuable tool for improved food safety and meat quality.